5.1 Introduction 5.2 Management Level Wise 5.3 Functional Domain Wise



Similar documents
List of Top 100 BSE and NSE Listed companies arranged by Sector

SIGNIFICANCE OF WORKING CAPITAL TURNOVER RATIO: A CASE STUDY OF BHEL AND CROMPTON GREAVES

Title of paper: ROLE OF SOCIAL MEDIA MARKETING IN AUTOMOBILE SECTOR

WHATS IN - WHATS OUT? MUTUAL FUND UPDATE

Independent t- Test (Comparing Two Means)

LIST OF COMPANIES THAT USE SAP/ERP IN INDIA

EXCEL Analysis TookPak [Statistical Analysis] 1. First of all, check to make sure that the Analysis ToolPak is installed. Here is how you do it:

Two-Group Hypothesis Tests: Excel 2013 T-TEST Command

Difference of Means and ANOVA Problems

Using Microsoft Excel to Analyze Data from the Disk Diffusion Assay

HYPOTHESIS TESTING: POWER OF THE TEST

An Introduction to Statistics Course (ECOE 1302) Spring Semester 2011 Chapter 10- TWO-SAMPLE TESTS

FINAL PLACEMENTS BATCH OF 2015

Additional information >>> HERE <<< Getting Free How To Propel Your Medical Practice Income To Unlimited Levels In 6 Months

INNOVATION AT THE BOTTOM OF THE PYRAMID BUSINESS INITIATIVES TO SPUR YOUR THINKING

[Sharma, 2(2): April-June, 2012] ISSN: Int. J. of Engg. Sci. & Mgmt. (IJESM), Vol. 2, Issue 2: April-June: 2012,

LAB 4 INSTRUCTIONS CONFIDENCE INTERVALS AND HYPOTHESIS TESTING

CHAPTER 5 FINANCIAL REPORTING PRACTICES OF LIFE INSURANCE COMPANIES

Chapter: IV. IV: Research Methodology. Research Methodology

Chapter 2 Probability Topics SPSS T tests

Index. Copyright material from - licensed to npg - PalgraveConnect

THE FIRST SET OF EXAMPLES USE SUMMARY DATA... EXAMPLE 7.2, PAGE 227 DESCRIBES A PROBLEM AND A HYPOTHESIS TEST IS PERFORMED IN EXAMPLE 7.

Two Related Samples t Test

Top Careers & You G.K. QUIZ

Using Microsoft Excel to Analyze Data

t Tests in Excel The Excel Statistical Master By Mark Harmon Copyright 2011 Mark Harmon

RECRUITERS PRIORITIES IN PLACING MBA FRESHER: AN EMPIRICAL ANALYSIS

OC&C FMCG INDIA INDEX FY 08 RECALIBRATE TO WIN. FMCG strategies in a changing landscape

How To Find Out What Is The Recipe For A Bank Loan

Blasting Technology Increases Efficacy in Foundry and Allied Industries

THE INDIAN AUTOMOTIVE MARKET

How To Test For Significance On A Data Set

Perfection= Automotive Testing

AN ANLYTICAL APPROACH FOR FAST MOVINGCONSUMER GOODS (FMCG) SECTOR IN INDIAN STOCKMARKET USING DATA MINING TECHNIQUES

Chapter 9. Two-Sample Tests. Effect Sizes and Power Paired t Test Calculation

Stock Market Efficiency and Insider Trading Kris McKinley, Elon College

Statistics Review PSY379

STRATEGIC PLANNING FOR RURAL MARKETS ALL ROADS LEADING TO RURAL INDIA

2 Sample t-test (unequal sample sizes and unequal variances)

Regression Analysis: A Complete Example

Paired 2 Sample t-test

Introduction to Hypothesis Testing. Hypothesis Testing. Step 1: State the Hypotheses

Consumer Attitude and Perception of Mobile Phone Service Providers in Nagapattinam District

Section 7.1. Introduction to Hypothesis Testing. Schrodinger s cat quantum mechanics thought experiment (1935)

1. What is the critical value for this 95% confidence interval? CV = z.025 = invnorm(0.025) = 1.96

Correlational Research

Human Resource Development Practices in Telecom Sector in Saudi Arabia: An Empirical Presentation

Hypothesis testing - Steps

Certification Programs in Enterprise Resource Planning

Unit 26: Small Sample Inference for One Mean

A Dynamic Simulation Model for the Long Term Analysis of the Indian. Automotive Industry

Significance: Summer Internships

Hypothesis Testing. Reminder of Inferential Statistics. Hypothesis Testing: Introduction

A Comparative Study on the Performance of ULIPs Offered by the Selected Insurance Companies-A Study in Indian Capital Markets

Data Analysis Tools. Tools for Summarizing Data

Vinod Gupta School of Management, IIT Kharagpur

WE LOVE BRANDS. YOUR BRANDS.

CHAPTER 5 COMPARISON OF DIFFERENT TYPE OF ONLINE ADVERTSIEMENTS. Table: 8 Perceived Usefulness of Different Advertisement Types

Examining Working Capital Management Practices of Construction Firms A Comparative Study of HCC and SIL

Factors affecting online sales

Skewed Data and Non-parametric Methods

Two-sample t-tests. - Independent samples - Pooled standard devation - The equal variance assumption

PURCHASE DECISION FACTORS OF LIFE INSURANCE POLICY HOLDERS IN DHARMAPURI DISTRICT, TAMIL NADU, INDIA

Module 4 (Effect of Alcohol on Worms): Data Analysis

Using Excel for inferential statistics

WORKING CAPITAL MANAGEMENT OF MAKSON HEALTHCARE PVT LTD: A TRADE -OFF BETWEEN LIQUIDITY AND PROFITABILITY, AN EMPIRICAL STUDY

Two Year Post Graduate Diploma in Management : Agri-Business and Plantation Management (PGDM: ABPM) (16 th Batch)

Negative Working Capital Management of Two-Wheeler Manufacturing Company in India. Ms. Lakhwinder Kaur Dhillon

A Study in Engineering and Military Ethics

totus 2014 building organisations around great ideas

Two-sample hypothesis testing, II /16/2004

In the past, the increase in the price of gasoline could be attributed to major national or global

ENTERPRISE RISK MANAGEMENT IN FMCG SECTOR

Understand the role that hypothesis testing plays in an improvement project. Know how to perform a two sample hypothesis test.

Building an Equity Portfolio using Mutual Funds. H. Gayathri Dean Administration & Professor-Marketing

A Research Work On Employee Satisfaction Measurement With Special Reference

Foreign Direct Investment in Automobile Industry

College of Management & Economics Studies (CoMES)

Comparing Means in Two Populations

Two-Sample T-Tests Assuming Equal Variance (Enter Means)

p ˆ (sample mean and sample

Third Party Logistics (3PL) Market in India

Two-Sample T-Tests Allowing Unequal Variance (Enter Difference)

COMPETITIVE AND INNOVATIVE PROMOTIONAL TOOLS USED BY TOOTHPASTE COMPANIES FOR RURAL MARKET & ITS IMPACT ON CONSUMER BUYING BEHAVIOUR IN GUJARAT

Final Placement Report

Effects of e-commerce on supply chain of production companies in Isfahan

Case Study Call Centre Hypothesis Testing

Online 12 - Sections 9.1 and 9.2-Doug Ensley

A STUDY ON ASSET AND LIABILITY MANAGEMENT IN ICICI BANK

Coverage on Domestic Freight Transportation Services. Improving macroeconomic indicators to sustain domestic freight growth over next five years

KPMG Flash News 18 February 2011

Additional sources Compilation of sources:

How To Improve Customer Satisfaction

How To Understand The Economic Situation In India

Transcription:

Analysis & interpretation of Data Part - I: Application of Business Intelligence in Indian and Global companies across different Industry Verticals, Functional Domains & Management Levels. 5.1 Introduction 5.2 Management Level Wise 5.3 Functional Domain Wise 5.1

5.1 Introductions 5.1 Introduction Business Intelligence: Business Intelligence, or BI, refers to the process by which business and companies gather data, analyze it, and re-apply it in order to make the best possible business and financial model for their particular instance. It is a process for increasing the competitive advantage of a business by intelligent use of available data in decision making. Questionnaire: The questionnaire includes questions for collecting basic information of the targeted companies and focuses on following Functional domains: 1. Strategic domain 2. Sales & Marketing Domain 3. Operations Domain As Business intelligence Technology caters mainly to Top level Management and partially Middle level Management personals for making informed decisions and defining strategies, the researcher has designed the questionnaire targeting data collection from following profiles: Management Level Functional Domains Top Level Management Strategic domain Strategic Level Sales Strategic Level Marketing Strategic level- Operations Middle Level Management Managerial Level- Sales & Marketing Managerial Level- Operations Table 5.1 Management Levels as Respondents 5.2

5.1 Introductions For collecting the data to analyze the depth of the successful Application of Business intelligence Technology at particular management level in selected functional domain in selected organizations, the researcher used closed ended questionnaire with the scale as shown below: Values Meaning 1 very bad 2 bad 3 Neutral 4 good 5 very good Table 5.2 Response Scale Respondents: As the research was targeted to Analyze the application of Business intelligence focusing on four different Industry verticals: FMCG Automobile Logistics Retail The respondents were selected on that basis. 5.3

The respondents were from Top level Management and Middle level Management to obtain and satisfy the targeted data collection need for the research. Such respondent includes: Management Level Top Level Management Management Level Middle Level Management Functional Type of Respondents Domains Strategic domain CEO, MD, Directors etc.. Strategic Level Sales Strategic Level Marketing Strategic level- Operations Functional Domains Managerial Level- Sales & Marketing 5.1 Introductions National Sales Head, VP Sales, AVP Sales etc National Marketing Head, VP Marketing, AVP Marketing etc COO, National Operations Head, VP Operations / Production, AVP Operations / Production etc Type of Respondents Sales & Marketing Manager, Regional Manager, Business Development Manager Managerial Level- Operations Manager, Production Operations Planning & Control Manager, Production Manager etc Table 5.3 Management Levels & Functional Domains The data was collected from six different Respondents from various functional domains and Management levels from each targeted organization. 5.4

5.1 Introductions Industries Covered: Sr. Indian / No. Foreign FMCG Automobile Logistics Retail 1 Indian Amul Ashok India Leyland DTDC Big Bazaar 2 Indian Dabur Bajaj Auto First Flight Easy Day 3 Indian Godrej Hindustan More (Aditya consumer Gati Motors Birla) products 4 Indian ITC KOEL Kingfisher Cargo Ltd. Reliance 5 Indian Marico Om M&M Industries Logistics RPG Retail 6 Indian Nirma Maruti Patel Shopper s Udyog Logistics Stop Ltd 7 Indian Parle Agro TATA Safe Vishal Mega Motors Express mart 8 Foreign Coca Cola Ford A.P Moeller Westside 9 Foreign Colgate- General Bailian DHL Palmolive Motors Group 10 Foreign Kraft Foods Honda Fed Ex carrerfour 11 Foreign Nestle Hyundai Nippon Loblay's Express companies 12 Foreign P & G Mico Bosch Ryder Metro AG 13 Foreign Phillip Tnt Post Renault Morris Group Walmart 14 Foreign Unilever Toyota UPS Woolworth Table 5.4 Various Indian & Foreign Industries as respondents 5.5

5.2.1.1 Top Level Management Comparison: Ho: There is no significant difference in agreement level of BI Model at Top level Management of Indian Automobile Companies and Foreign Automobile Companies H1: There is a significant difference in agreement level of BI Model at Top level Management of Indian Automobile Companies and Foreign Automobile Companies Sr. No. Name of the Company Top Level Total Average Strategic Domain SL - Sales SL - Marketing SL - Operations 1 KEOL 41 34 34 27 136 34 2 TATA Motors 40 35 38 31 144 36 3 Bajaj Auto 38 37 34 29 138 34.5 4 M & M 40 37 38 33 148 37 5 Ashok Layland 40 23 37 23 123 30.75 6 Maruti 34 34 39 23 130 32.5 7 Hindustan 39 24 38 20 121 30.25 Motors Total 272 224 258 186 940 235 Count 7 7 7 7 7 Average 38.86 32.00 36.86 26.57 134.29 33.57 STDEV 2.34 5.94 2.04 4.76 10.18 2.54 Variance 5.48 35.33 4.14 22.62 103.57 6.47 Sr. No. Name of the Company Strategic Domain SL - Sales 5.2 Management Levels 5.2.1 Automobile Manufacturing Industry Analysis Top Level Total Average SL - Marketing SL - Operations 1 Mico 40 34 36 29 139 34.75 2 Ford 40 36 38 38 152 38 3 General 45 31 37 27 140 35 Motors 4 Hyundai 40 35 31 24 130 32.5 5 Renault 40 35 36 33 144 32.5 6 Toyota 45 31 37 27 140 35 7 Honda 45 32 40 25 142 35.5 Total 295 234 255 203 987 246.75 Count 7 7 7 7 7 Average 42.14 33.43 36.43 29.00 141.00 34.75 STDEV 2.67 2.07 2.76 4.93 6.56 1.89 Variance 7.14 4.29 7.62 24.33 43.00 3.56 Table 5.5 Automobile Industry Top Level Management Data Analysis India vs. Global 5.6

5.2 Management Levels As shown in the table, the Highest agreement level of BI Model at top level management at Indian Automobile Manufacturing companies is achieved by Mahindra & Mahindra with the score of 148 along with the average ie. Mean 37 where as in foreign Automobile Manufacturing Companies it is Ford with the highest score of 152 along with the mean 38. Apparently, this shows that there is a difference at an agreement level of BI Model in Indian and Foreign Automobile Manufacturing Companies but after conducting T Test we can conclude as follows: t-test: Two-Sample Assuming Unequal Variances Variable 1 Variable 2 Mean 141 134.2857143 Variance 43 103.5714286 Observations 7 7 Hypothesized Mean Difference 0 df 12 t Stat 1.467317771 P(T<=t) one-tail 0.086511442 t Critical one-tail 1.812461123 P(T<=t) two-tail 0.173022885 t Critical two-tail 2.17881283 In a T test for a 95% confidence level, If the significance level is greater than or equal to 0.05 then it signifies that there is no significance difference between implementation of BI at strategic level of Management in Indian companies and Foreign companies at Automobile Manufacturing Industry. From the T test Table we can derive that a significance level of 0.17 has been achieved. This means the T test is showing no significance difference in agreement level of BI implementation at strategic level of management of foreign viz-a-viz Indian Automobile Manufacturing companies. Hence null hypothesis is accepted (T cal is less than T tab ) because T Cal = 1.467 is less than T tab = 2.178. So, we can conclude that at 95% confidence level there is no significant difference in an agreement level of BI Model at 5.7

Strategic level management of foreign vs. Indian Automobile Manufacturing companies. 5.2.1.2 Middle Level Management Comparison: Ho: There is no significant difference in agreement level of BI Model at Middle level Management of Indian Automobile Companies and Foreign Automobile Companies H1: There is a significant difference in agreement level of BI Model at Middle level Management of Indian Automobile Companies and Foreign Automobile Sr. No. Name of the Company ML - Sales & Marketing 5.2 Management Levels Companies Middle Level Total Average ML - Operations 1 KEOL 44 47 91 45.5 2 TATA Motors 37 46 83 41.5 3 Bajaj Auto 36 44 80 40 4 M & M 38 43 81 40.5 5 Ashok Layland 33 35 68 34 6 Maruti 32 40 72 36 7 Hindustan 29 36 65 32.5 Motors Total 249 291 540 270 Count 7 7 7 7 Average 35.57 41.57 77.14 38.57 STDEV 4.86 4.72 9.19 4.60 Variance 23.62 22.29 84.48 21.12 Sr. No. Name of the Middle Level Total Average Company ML - Sales & Marketing ML - Operations 1 Mico 36 46 82 41 2 Ford 38 43 81 40.5 3 General Motors 42 51 93 46.5 4 Hyundai 37 47 84 42 5 Renault 38 43 81 40.5 6 Toyota 42 42 84 42 7 Honda 40 51 91 45.5 Total 273 323 596 298 Count 7 7 7 7 Average 39.00 46.14 85.14 42.57 STDEV 2.38 3.76 4.88 2.44 Variance 5.67 14.14 23.81 5.95 Table 5.6 Automobile Industry Middle Level Management Data Analysis India vs. Global 5.8

5.2 Management Levels As shown in the table, the Highest agreement level of BI Model at Middle level management at Indian Automobile Manufacturing companies is achieved by Kirloskar Oil Engines Limited with the score of 91 along with the average ie. Mean 45.5 where as in foreign Automobile Manufacturing Companies it is Honda with the highest score of 91 along with the mean 45.5. Apparently, this shows that there is a difference at an agreement level of BI Model in Indian and Foreign Automobile Manufacturing Companies but after conducting T Test we can conclude as follows: t-test: Two-Sample Assuming Unequal Variances Variable 1 Variable 2 Mean 85.1428571 77.14285714 Variance 23.8095238 84.47619048 Observations 7 7 Hypothesized Mean Difference 0 df 12 t Stat 2.03401159 P(T<=t) one-tail 0.03623158 t Critical one-tail 1.83311293 P(T<=t) two-tail 0.07246317 t Critical two-tail 2.17881283 5.9

5.2 Management Levels In a T test for a 95% confidence level, If the significance level is greater than or equal to 0.05 then it signifies that there is no significance difference between implementation of BI at strategic level of Management in Indian companies and Foreign companies at Automobile Manufacturing Industry. From the T test Table we can derive that a significance level of 0.072 has been achieved. This means the T test is showing no significance difference in agreement level of BI implementation at Middle Level of management of foreign viz-a-viz Indian Automobile Manufacturing companies. Hence null hypothesis is accepted (T cal is less than T tab ) because T Cal = 2.034012 is less than T tab = 2.178. So, we can conclude that at 95% confidence level there is no significant difference in an agreement level of BI Model at Middle level management of foreign vs. Indian Automobile Manufacturing companies. 5.10

5.2 Management Levels 5.2.2 FMCG Industry Analysis 5.2.2.1 Top Level Management Comparison: Ho: There is no significant difference in agreement level of BI Model at Top level Management of Indian FMCG Companies and Foreign FMCG Companies H1: There is a significant difference in agreement level of BI Model at Top level Management of Indian FMCG Companies and Foreign FMCG Companies Sr. No. Name of Top Level Total Average the Strategic SL- SL - SL - Company Level Sales Marketing Operations 1 Unilever 46 35 39 30 150 37.5 2 Coca Cola 44 37 35 33 149 37.25 3 Colgate 41 32 41 29 143 35.75 Palmolive 4 P & G 44 34 39 32 149 37.25 5 Nestle 45 33 38 25 141 35.25 6 Phillip 43 35 34 30 142 35.5 Morris 7 Kraft Food 42 31 33 23 129 32.25 Sr. No. Total 305 237 259 202 1003 250.75 Count 7 7 7 7 7 Average 43.57 33.86 37.00 28.86 143.29 35.82 STDEV 1.72 2.04 3.00 3.63 7.32 1.83 Variance 2.95 4.14 9.00 13.14 53.57 3.35 Name of the Company Strategic Level SL - Sales Top Level Total Average SL - Marketing SL - Operations 1 Amul India 44 31 39 23 137 34.25 Pvt. Ltd. 2 Marico 38 31 34 31 134 33.5 Industries 3 ITC 41 34 37 30 142 35.5 4 Parle Agro 34 32 35 29 130 32.5 5 Nirma 41 27 37 29 134 33.5 6 Godrej 42 34 35 33 144 36 Consumer Products 7 Dabur 41 35 38 31 145 36.25 Total 281 224 255 206 966 241.5 Count 7 7 7 7 7 5.11

Average 40.14 32.00 36.43 29.43 138.00 34.50 STDEV 3.24 2.71 1.81 3.15 5.74 1.44 Variance 10.48 7.33 3.29 9.95 33.00 2.06 Table 5.7 FMCG Industry Top Level Management Data Analysis India vs. Global As shown in the table, the highest agreement level of BI Model at Top level management at Indian FMCG companies is achieved by Dabur with the score of 145 along with the average i.e. Mean 36.25 where as in foreign FMCG Companies it is Unilever with the highest score of 150 along with the mean 37.5. Apparently, this shows that there is a difference at an agreement level of BI Model in Indian and Foreign FMCG Companies but after conducting T Test we can conclude as follows: 5.2 Management Levels t-test: Two-Sample Assuming Unequal Variances Variable 1 Variable 2 Mean 143.2857143 138 Variance 53.57142857 33 Observations 7 7 Hypothesized Mean 0 Difference Df 12 t Stat 1.503022258 P(T<=t) one-tail 0.080493926 t Critical one-tail 1.795884819 P(T<=t) two-tail 0.160987852 t Critical two-tail 2.17881283 In a T test for a 95% confidence level, If the significance level is greater than or equal to 0.05 then it signifies that there is no significance difference between implementation of BI at strategic level of 5.12

5.2 Management Levels Management in Indian companies and Foreign companies at FMCG Industry. From the T test Table we can derive that a significance level of 0.16 has been achieved. This means the T test is showing no significance difference in agreement level of BI implementation at strategic level of management of foreign viz-a-viz Indian FMCG companies. Hence null hypothesis is accepted (T cal is less than T tab ) because T Cal = 1.503 is less than T tab = 2.178. So, we can conclude that at 95% confidence level there is no significant difference in an agreement level of BI Model at Strategic level management of foreign vs. Indian FMCG Companies. 5.13

5.2.2.2 Middle Level Management Comparison: 5.2 Management Levels 5.14 Ho: There is no significant difference in agreement level of BI Model at Middle level Management of Indian FMCG Companies and Foreign FMCG Companies H1: There is a significant difference in agreement level of BI Model at Middle level Sr. No. Management of Indian FMCG Companies and Foreign FMCG Companies Name of the Middle Level Total Average Company ML - Sales & ML - Operations Marketing 1 Unilever 44 41 85 42.5 2 Coca Cola 43 45 88 44 3 Colgate 47 49 96 48 Palmolive 4 P & G 46 46 92 46 5 Nestle 46 46 92 46 6 Phillip Morris 41 45 86 43 7 Kraft Food 46 46 92 46 Sr. No. Total 313 318 631 315.5 Count 7 7 7 7 Average 44.71 45.43 90.14 45.07 STDEV 2.14 2.37 3.93 1.97 Variance 4.57 5.62 15.48 3.87 Name of the Company ML - Sales & Marketing Middle Level Total Average ML - Operations 1 Amul India Pvt. 41 34 75 37.5 Ltd. 2 Marico 39 45 84 42 Industries 3 ITC 41 45 86 43 4 Parle Agro 37 40 77 38.5 5 Nirma 35 40 75 37.5 6 Godrej Consumer 39 44 83 41.5 Products 7 Dabur 40 40 80 40 Total 272 288 560 280 Count 7 7 7 7 Average 38.86 41.14 80.00 40.00 STDEV 2.19 3.93 4.47 2.24 Variance 4.81 15.48 20.00 5.00 Table 5.8 FMCG Industry Middle Level Management Data Analysis India vs. Global

5.2 Management Levels As shown in the table, the Highest agreement level of BI Model at Middle level management at Indian FMCG companies is achieved by ITC with the score of 86 along with the average ie. Mean 43 where as in foreign FMCG Companies it is Colgate Palmolive with the highest score of 96 along with the mean 48. Apparently, this shows that there is a difference at an agreement level of BI Model in Indian and Foreign FMCG Companies but after conducting T Test we can conclude as follows: t-test: Two-Sample Assuming Unequal Variances Variable 1 Variable 2 Mean 90.1428571 80 Variance 15.4761905 20 Observations 7 7 Hypothesized Mean Difference 0 df 12 t Stat 4.50547765 P(T<=t) one-tail 0.00035988 t Critical one-tail 1.78228756 P(T<=t) two-tail 0.00071976 t Critical two-tail 2.17881283 In a T test for a 95% confidence level, If the significance level is greater than or equal to 0.05 then it signifies that there is a significance difference between implementation of BI at strategic level of Management in Indian companies and Foreign companies at FMCG Industry. 5.15

5.2 Management Levels From the T test Table we can derive that a significance level of 0.0007 has been achieved. This means the T test is showing a significance difference in agreement level of BI implementation at Middle level of management of foreign viz-a-viz Indian FMCG companies. Hence null hypothesis is Rejected (T cal is greater than T tab) because T Cal = 4.505 is greater than T tab = 2.178. So, we can conclude that at 95% confidence level there is a significant difference in an agreement level of BI Model at Middle level management of foreign vs. Indian FMCG companies. 5.16

5.2.3 logistic Industry Analysis 5.2.3.1 Top Level Management Comparison: 5.2 Management Levels Ho: There is no significant difference in agreement level of BI Model at Top level Management of Indian Logistic Companies and Foreign Logistic Companies H1: There is a significant difference in agreement level of BI Model at Top level Management of Indian Logistic Companies and Foreign Logistic Companies Sr. No. Name of the Company Top Level Total Average Strategic Level SL - Sales SL - Marketing SL - Operations 1 Kingfisher 39 32 42 30 143 35.75 Cargo 2 First Flight 45 33 41 28 147 36.75 3 Gati 40 35 37 29 141 35.25 4 Safe Express 42 33 37 29 141 35.25 5 Patel 42 33 37 33 145 36.25 Logistics 6 OM Logistics 45 30 39 26 140 35 7 DTDC 43 30 41 33 147 36.75 Total 296 226 274 208 1004 251 Sr. No. Count 7 7 7 7 7 Average 42.29 32.29 39.14 29.71 143.43 35.86 STDEV 2.29 1.80 2.19 2.56 2.94 0.73 Variance 5.24 3.24 4.81 6.57 8.62 0.54 Name of the Company Strategic Level SL - Sales Top Level Total Average SL - Marketing SL - Operations 1 DHL 41 35 38 31 145 36.25 2 UPS 39 32 39 32 142 35.5 3 Fed Ex 40 35 36 33 144 36 4 Ryder 44 37 38 29 148 37 5 Nippon 44 33 38 29 144 37 6 APM 42 35 36 28 141 35.25 7 TNT 44 37 38 31 150 37.5 Total 294 244 263 213 1014 253.5 Count 7 7 7 7 7 Average 42.00 34.86 37.57 30.43 144.86 36.36 STDEV 2.08 1.86 1.13 1.81 3.18 0.84 Variance 4.33 3.48 1.29 3.29 10.14 0.71 Table 5.9 Logistic Industry Top Level Management Data Analysis India vs. Global 5.17

5.2 Management Levels As shown in the table, the Highest agreement level of BI Model at strategic level management at Indian Logistics companies is achieved by First Flight with the score of 147 along with the average ie. Mean 36.75 where as in foreign Logistics Companies it is T & T with the highest score of 150 along with the mean 37. 5. Apparently, this shows that there is a difference at an agreement level of BI Model in Indian and Foreign Logistics l Companies but after conducting T Test we can conclude as follows : t-test: Two-Sample Assuming Unequal Variances Variable 1 Variable 2 Mean 144.8571429 143.4285714 Variance 10.14285714 8.619047619 Observations 7 7 Hypothesized Mean Difference 0 df 12 t Stat 0.872594591 P(T<=t) one-tail 0.200003851 t Critical one-tail 1.782287556 P(T<=t) two-tail 0.400007702 t Critical two-tail 2.17881283 In a T test for a 95% confidence level, If the significance level is greater than or equal to 0.05 then it signifies that there is no significance difference between implementation of BI at strategic level of Management in Indian companies and Foreign companies at Logistics Industry. From the T test Table we can derive that a significance level of 0.4 has been achieved. This means the T test is showing no significance difference in agreement level of BI implementation at strategic level of 5.18

5.2 Management Levels management of foreign viz-a-viz Indian Logistics companies. Hence null hypothesis is accepted (T cal is less than T tab ) because T Cal = 0.872 is less than T tab = 2.178. So, we can conclude that at 95% confidence level there is no significant difference in an agreement level of BI Model at Strategic level management of foreign vs. Indian Logistics Companies. 5.19

5.2.3.2 Middle Level Management Comparison: Ho: 5.2 Management Levels There is no significant difference in agreement level of BI Model at Middle level Management of Indian Logistic Companies and Foreign Logistic Companies H1: There is a significant difference in agreement level of BI Model at Middle level Management of Indian Logistic Companies and Foreign Logistic Companies Sr. No. Name of the Middle Level Total Average Company ML - Sales & Marketing ML - Operations 1 Kingfisher 41 38 79 39.5 Cargo 2 First Flight 41 49 90 45 3 Gati 42 45 87 43.5 4 Safe Express 44 47 91 45.5 5 Patel Logistics 41 45 86 43 6 OM Logistics 38 42 80 40 7 DTDC 37 42 79 39.5 Total 284 308 592 296 Count 7 7 7 7 Average 40.57 44.00 84.57 42.29 STDEV 2.37 3.65 5.19 2.60 Variance 5.62 13.33 26.95 6.74 Sr. No. Name of the Middle Level Total Average Company ML - Sales & Marketing ML - Operations 1 DHL 41 45 86 43 2 UPS 41 45 86 43 3 Fed Ex 38 43 81 40.5 4 Ryder 39 44 83 41.5 5 Nippon 38 44 82 41 6 APM 43 38 81 40.5 7 TNT 46 47 93 46.5 Total 286 306 592 296 Count 7 7 7 7 Average 40.86 43.71 84.57 42.29 STDEV 2.91 2.81 4.28 2.14 Variance 8.48 7.90 18.29 4.57 Table 5.10 Logistic Industry Middle Level Management Data Analysis India vs. Global 5.20

5.2 Management Levels As shown in the table, the Highest agreement level of BI Model at Middle level management at Indian Logistics companies is achieved by Safe Express with the score of 91 along with the average ie. Mean 45.5 where as in foreign Logistics Companies it is T & T with the highest score of 93 along with the mean 46.5. Apparently, this shows that there is a difference at an agreement level of BI Model in Indian and Foreign Logistics Companies but after conducting T Test we can conclude as follows: t-test: Two-Sample Assuming Unequal Variances Variable 1 Variable 2 Mean 84.5714286 84.57142857 Variance 18.2857143 26.95238095 Observations 7 7 Hypothesized 0 Mean Difference Df 12 t Stat 0 P(T<=t) one-tail 0.5 t Critical one-tail 1.78228756 P(T<=t) two-tail 1 t Critical two-tail 2.17881283 In a T test for a 95% confidence level, If the significance level is greater than or equal to 0.05 then it signifies that there is no significance difference between implementation of BI at strategic level of Management in Indian companies and Foreign companies at Logistics Industry. 5.21

5.2 Management Levels From the T test Table we can derive that a significance level of 1 has been achieved. This means the T test is showing no significance difference in agreement level of BI implementation at Middle level of management of foreign viz-a-viz Indian Logistics companies. Hence null hypothesis is Accepted (T cal is less than T tab ) because T Cal = 0 is Less than T tab = 2.178. So, we can conclude that at 95% confidence level there is no significant difference in an agreement level of BI Model at Middle level management of foreign vs. Indian Logistics companies. 5.22

5.2.4 Retail Industry Analysis 5.2.4.1 Top Level Management Comparison: Ho: There is no significant difference in agreement level of BI Model at Top level Management of Indian Retail Companies and Foreign Retail Companies H1: There is a significant difference in agreement level of BI Model at Top level Management of Indian Retail Companies and Foreign Retail Companies Sr. No. Name of the Company Strategic Level SL - Sales Top Level Total Average SL - Marketing SL - Operations 1 Reliance 39 35 40 37 151 37.75 2 Big Bazar 43 31 37 27 138 34.5 3 More 42 37 37 31 147 36.75 4 RPG 38 36 39 31 144 36 5 Easy Day 38 32 42 31 143 35.75 6 Vishal Mega 39 33 34 31 137 34.25 Mart 7 West Side 39 35 34 31 139 34.75 Total 278 239 263 219 999 249.75 Sr. No. Count 7 7 7 7 7 7 Average 39.71 34.14 37.57 31.29 142.71 35.68 STDEV 1.98 2.19 2.99 2.93 5.12 1.28 Variance 3.90 4.81 8.95 8.57 26.24 1.64 Name of the Company 5.2 Management Levels Top Level Total Average Strategic SL - SL - SL - Level Sales Marketing Operations 42 37 39 31 149 37.25 1 Shopper's Stop 2 Walmart 40 35 36 33 144 36 3 Carrer Four 41 32 37 31 141 35.25 4 Metro AG 41 33 34 31 139 34.75 5 Wool Worth 42 34 36 32 144 34.75 6 Lobaly 38 32 35 28 133 33.25 7 Bailian 41 32 39 28 140 35 Total 285 235 256 214 990 247.5 Count 7 7 7 7 7 Average 40.71 33.57 36.57 30.57 141.43 35.18 STDEV 1.38 1.90 1.90 1.90 5.00 1.23 Variance 1.90 3.62 3.62 3.62 24.95 1.51 Table 5.11 Retail Industry Top Level Management Data Analysis India vs. Global 5.23

5.2 Management Levels As shown in the table, the Highest agreement level of BI Model at strategic level management at Indian Retail companies is achieved by Reliance Industries with the score of 151 along with the average ie. Mean 37.75 where as in foreign Retail Companies it is Shopper s Stop with the highest score of 149 along with the mean 37.25. Apparently, this shows that there is a difference at an agreement level of BI Model in Indian and Foreign Retail Companies but after conducting T Test we can conclude as follows : t-test: Two-Sample Assuming Unequal Variances Variable 1 Variable 2 Mean 141.4285714 142.7142857 Variance 24.95238095 26.23809524 Observations 7 7 Hypothesized Mean Difference 0 df 12 t Stat -0.475443489 P(T<=t) one-tail 0.321504147 t Critical one-tail 1.782287556 P(T<=t) two-tail 0.643008294 t Critical two-tail 2.17881283 In a T test for a 95% confidence level, If the significance level is greater than or equal to 0.05 then it signifies that there is no significance difference between implementation of BI at strategic level of Management in Indian companies and Foreign companies at Retail Industry. From the T test Table we can derive that a significance level of 0.64 has been achieved. This means the T test is showing no significance 5.24

5.2 Management Levels difference in agreement level of BI implementation at strategic level of management of foreign viz-a-viz Indian Retail companies. Hence null hypothesis is accepted (T cal is less than T tab) because T Cal = 0.475 is less than T tab = 2.178. So, we can conclude that at 95% confidence level there is no significant difference in an agreement level of BI Model at Strategic level management of foreign vs. Indian Retail Companies. 5.25

5.2.4.2 Middle Level Management Comparison: Ho: 5.2 Management Levels There is no significant difference in agreement level of BI Model at Middle level Management of Indian Retail Companies and Foreign Retail Companies H1: There is a significant difference in agreement level of BI Model at Middle level Management of Indian Retail Companies and Foreign Retail Companies Sr. No. Name of the Middle Level Total Average Company ML - Sales & Marketing ML - Operations 1 Reliance 40 44 84 42 2 Big Bazar 42 64 106 53 3 More 42 45 87 43.5 4 RPG 41 48 89 44.5 5 Easy Day 41 45 86 43 6 Vishal Mega 43 44 87 43.5 Mart 7 West Side 38 45 83 41.5 Total 287 335 622 311 Count 7 7 7 7 Average 41.00 47.86 88.86 44.43 STDEV 1.63 7.24 7.82 3.91 Variance 2.67 52.48 61.14 15.29 Sr. No. Name of the Middle Level Total Average Company ML - Sales & Marketing ML - Operations 1 Shopper's Stop 41 48 89 44.5 2 Walmart 38 43 81 40.5 3 Carrer Four 42 44 86 43 4 Metro AG 41 45 86 43 5 Wool Worth 40 44 84 42 6 Lobaly 44 46 90 45 7 Bailian 42 47 89 44.5 Total 288 317 605 302.5 Count 7 7 7 7 Average 41.14 45.29 86.43 43.21 STDEV 1.86 1.80 3.21 1.60 Variance 3.48 3.24 10.29 2.57 Table 5.12 Retail Industry Middle Level Management Data Analysis India vs. Global 5.26

5.2 Management Levels As shown in the table, the Highest agreement level of BI Model at Middle level management at Indian Retail companies is achieved by Big Bazar with the score of 106 along with the average ie. Mean 53 where as in foreign Retail Companies it is Lobaly with the highest score of 90 along with the mean 45. Apparently, this shows that there is a difference at an agreement level of BI Model in Indian and Foreign Retail Companies but after conducting T Test we can conclude as follows: t-test: Two-Sample Assuming Unequal Variances Variable 1 Variable 2 Mean 86.4285714 88.85714286 Variance 10.2857143 61.14285714 Observations 7 7 Hypothesized Mean Difference 0 df 12 t Stat -0.76026311 P(T<=t) one-tail 0.23445426 t Critical one-tail 1.85954804 P(T<=t) two-tail 0.46890852 t Critical two-tail 2.17881283 In a T test for a 95% confidence level, If the significance level is greater than or equal to 0.05 then it signifies that there is no significance difference between implementation of BI at strategic level of Management in Indian companies and Foreign companies at Retail Industry. From the T test Table we can derive that a significance level of 0.46 has been achieved. This means the T test is showing no significance 5.27

5.2 Management Levels difference in agreement level of BI implementation at Middle level of management of foreign viz-a-viz Indian Retail companies. Hence null hypothesis is Accepted (T cal is less than T tab) because T Cal = 0.76 is Less than T tab = 2.178. So, we can conclude that at 95% confidence level there is no significant difference in an agreement level of BI Model at Middle level management of foreign vs. Indian Retail companies. 5.28

5.3.1 Automobile Manufacturing Industry Analysis 5.3.1.1 Analysis of Strategic domain at Automobile Manufacturing Industry in Foreign v/s Indian Companies: Sr. Name of the Strategic Total No. Company domain 1 KEOL 41 41 2 TATA Motors 40 40 3 Bajaj Auto 38 38 4 M & M 40 40 5 Ashok Layland 40 40 6 Maruti 34 34 7 Hindustan 39 39 Motors Total 272 272 Count 7 7 Average 38.86 38.86 STDEV 2.34 2.34 Variance 5.48 5.48 Sr. Name of the Strategic Total No. Company domain 1 Mico 40 40 2 Ford 40 40 3 General 45 45 Motors 4 Hyundai 40 40 5 Renault 40 40 5.29

6 Toyota 45 45 7 Honda 45 45 Total 295 295 Count 7 7 Average 42.14 42.14 STDEV 2.67 2.67 Variance 7.14 7.14 Table 5.13 Analysis of Strategic domain at Automobile Manufacturing Industry in Foreign v/s Indian Companies As shown in the table, the highest agreement level of BI Model at Strategic domain at Indian Automobile Manufacturing companies is achieved by Kirloskar Oil Engines Limited with the score of 41 where as in foreign Automobile Manufacturing Companies there are three companies such as General Motors, Toyota and Honda with the highest score of 45. Apparently, this shows that there is a difference at an agreement level of BI Model in Indian and Foreign Automobile Manufacturing Companies at Strategic domain but after conducting T Test we can conclude as follows: H0: There is no Significant Difference in the Agreement Level of BI Model in Indian Automobile Manufacturing Companies At functional domain of Strategic domain at functional domain of Strategic domain. H1: There is a Significant Difference in the Agreement Level of BI Model in Indian Automobile Manufacturing Companies At functional domain of Strategic domain at functional domain of Strategic domain. T Test Table Variable 1 Variable 2 Mean 42.14285714 38.85714286 Variance 7.142857143 5.476190476 Observations 7 7 5.30

Hypothesized 0 Mean Difference df 12 t Stat 2.447177812 P(T<=t) one-tail 0.01537577 t Critical one-tail 1.782287556 P(T<=t) two-tail 0.03075154 t Critical two-tail 2.17881283 In a T test for a 95% confidence level, if the significance level is greater than or equal to 0.05 then it signifies that there is no significance difference between implementation of BI at Top level of Management in Indian companies and foreign companies at Automobile Manufacturing Industry. From the T test Table we can derive that two tailed significance level of 0.03 has been achieved. This means the T test is showing a significance difference in agreement level of BI implementation at Strategic domain of foreign viz-a-viz Indian Automobile Manufacturing companies. Hence null hypothesis is Rejected (T cal is More than T tab) because T Cal = 2.447178 is More than T tab = 2.178. So, we can conclude that at 95% confidence level there is a significant difference in an agreement level of BI Model at Strategic domain of foreign vs. Indian Automobile Manufacturing companies 5.31

5.3.1.2 Analysis of Sales & Marketing domain of Automobile Manufacturing Industry in Foreign v/s Indian Companies: Sr. Name of the SL - ML - Sales & SL - Sales No. Company Marketing Marketing Total 1 KEOL 34 34 44 112 2 TATA Motors 35 38 37 110 3 Bajaj Auto 37 34 36 107 4 M & M 37 38 38 113 5 Ashok Layland 23 37 33 93 6 Maruti 34 39 32 105 7 Hindustan Motors 24 38 29 91 Total 224 258 249 731 Count 7 7 7 7 Average 32.00 36.86 35.57 104.43 STDEV 5.94 2.04 4.86 8.94 Variance 35.33 4.14 23.62 79.95 Sr. No. Name of the Company SL - Sales SL - Marketing ML - Sales & Marketing Total 1 Mico 34 36 36 106 2 Ford 36 38 38 112 3 General Motors 31 37 42 110 4 Hyundai 35 31 37 103 5 Renault 35 36 38 109 6 Toyota 31 37 42 110 7 Honda 32 40 40 112 Total 234 255 273 762 5.32

Count 7 7 7 7 Average 33.43 36.43 39.00 108.86 STDEV 2.07 2.76 2.38 3.29 Variance 4.29 7.62 5.67 10.81 Table 5.14 Analysis of Sales & Marketing domain at Automobile Manufacturing Industry in Foreign v/s Indian Companies As shown in the table, the highest agreement level of BI Model at Sales and Marketing Domain of Indian Automobile Manufacturing companies is achieved by Kirloskar Oil Engines Limited with the score of 112 where as in foreign Automobile Manufacturing Companies there are two companies such as Ford and Honda with the highest score of 112. Apparently, this shows that there is no difference at an agreement level of BI Model in Indian and Foreign Automobile Manufacturing Companies at Sales and Marketing Domain and after conducting T Test we can conclude as follows: H0: There is no Significant Difference in the Agreement Level of BI Model in Indian Automobile Manufacturing Companies at functional domain of Sales and Marketing. H1: There is a Significant Difference in the Agreement Level of BI Model in Indian Automobile Manufacturing Companies at functional domain of Sales and Marketing. T Test Table Variable 1 Variable 2 Mean 108.857143 104.428571 Variance 10.8095238 79.952381 Observations 7 7 Hypothesized Mean Difference 0 5.33

df 12 t Stat 1.22987472 P(T<=t) one-tail 0.12684137 t Critical one-tail 1.85954804 P(T<=t) two-tail 0.25368273 t Critical two-tail 2.17881283 In a T test for a 95% confidence level, if the significance level is greater than or equal to 0.05 then it signifies that there is no significance difference between implementation of BI at Top level of Management in Indian companies and foreign companies at Automobile Manufacturing Industry. From the T test Table we can derive that a two tiled significance level of 0.25 has been achieved. This means the T test is showing no significance difference in agreement level of BI implementation at Sales and Marketing Domain of foreign viz-a-viz Indian Automobile Manufacturing companies. Hence null hypothesis is Accepted (T cal is Less than T tab) because T Cal = 1.2298 is less than T tab = 2.178. So, we can conclude that at 95% confidence level there is no significant difference in an agreement level of BI Model at Sales and Marketing Domain of foreign vs. Indian Automobile Manufacturing companies. 5.34

5.3.1.3 Analysis of Operational domain - of Automobile Manufacturing Industry in Foreign v/s Indian Companies: Sr. Name of the SL - ML - Total No. Company Operations Operations 1 KEOL 27 47 74 2 TATA 31 46 77 Motors 3 Bajaj Auto 29 44 73 4 M & M 33 43 76 5 Ashok 23 35 58 Layland 6 Maruti 23 40 63 7 Hindustan 20 36 56 Motors Total 186 291 477 Count 7 7 7 Average 26.57 41.57 68.14 STDEV 4.76 4.72 8.90 Variance 22.62 22.29 79.14 Sr. Name of the SL - ML - Total No. Company Operations Operations 1 Mico 29 46 75 2 Ford 38 43 81 3 General 27 51 78 Motors 4 Hyundai 24 47 71 5 Renault 33 43 76 6 Toyota 27 42 69 7 Honda 25 51 76 5.35

Total 206 323 529 Count 7 7 7 Average 29.00 46.14 75.14 STDEV 4.93 3.76 4.06 Variance 24.33 14.14 16.48 Table 5.15 Analysis of Operations domain at Automobile Manufacturing Industry in Foreign v/s Indian Companies As shown in the table, the highest agreement level of BI Model at Operations Domain of Indian Automobile Manufacturing companies is achieved by TATA Motors with the score of 77 where as in foreign Automobile Manufacturing Companies it is achieved by Ford with the highest score of 81. Apparently, this shows that there is a difference at an agreement level of BI Model in Indian and Foreign Automobile Manufacturing Companies at Operations Domain and after conducting T Test we can conclude as follows: H0: There is no Significant Difference in the Agreement Level of BI Model in Indian Automobile Manufacturing Companies at functional domain of Operations. H1: There is a Significant Difference in the Agreement Level of BI Model in Indian Automobile Manufacturing Companies at functional domain of Operations. T Test Table Variable 1 Variable 2 Mean 75.14285714 68.14286 Variance 16.47619048 79.14286 Observations 7 7 Hypothesized Mean Difference 0 5.36

df 12 t Stat 1.893977665 P(T<=t) one-tail 0.047421697 t Critical one-tail 1.859548038 P(T<=t) two-tail 0.094843394 t Critical two-tail 2.17881283 In a T test for a 95% confidence level, if the significance level is greater than or equal to 0.05 then it signifies that there is no significance difference between implementation of BI at Top level of Management in Indian companies and foreign companies at Automobile Manufacturing Industry. From the T test Table we can derive that a two tiled significance level of 0.094 has been achieved. This means the T test is showing no significance difference in agreement level of BI implementation at Operations Domain of foreign viz-a-viz Indian Automobile Manufacturing companies. Hence null hypothesis is Accepted (T cal is Less than T tab) because T Cal = 1.8939 is less than T tab = 2.178. So, we can conclude that at 95% confidence level there is no significant difference in an agreement level of BI Model at Operations Domain of foreign vs. Indian Automobile Manufacturing companies. 5.37

5.3.2 FMCG Industry Analysis 5.3.2.1 Analysis of Strategic domain at FMCG Industry in Foreign v/s Indian Companies: Sr. Name of the Strategic Total No. Company domain 1 Unilever 46 46 2 Coca Cola 44 44 3 Colgate Palmolive 41 41 4 P & G 44 44 5 Nestle 45 45 6 Phillip Morris 43 43 7 Kraft Food 42 42 Total 305 305 Count 7 7 Average 43.57 43.57 STDEV 1.72 1.72 Variance 2.95 2.95 Sr. Name of the Strategic Total No. Company domain 1 Amul India Pvt. Ltd. 44 44 2 Marico Industries 38 38 3 ITC 41 41 4 Parle Agro 34 34 5 Nirma 41 41 6 Godrej Consumer 42 42 Products 7 Dabur 41 41 Total 281 281 5.38

Count 7 7 Average 40.14 40.14 STDEV 3.24 3.24 Variance 10.48 10.48 Table 5.16 Analysis of Strategic domain at FMCG Industry in Foreign v/s Indian Companies As shown in the table, the highest agreement level of BI Model at Strategic domain at Indian FMCG companies is achieved by Amul India Pvt. Limited with the score of 44 where as in foreign FMCG Companies it is achieved by Unilever with the highest score of 46. Apparently, this shows that there is a difference at an agreement level of BI Model in Indian and Foreign FMCG Companies at Strategic domain but after conducting T Test we can conclude as follows: H0: There is no Significant Difference in the Agreement Level of BI Model in Indian FMCG Companies functional domain of Strategic domain. H1: There is a Significant Difference in the Agreement Level of BI Model in Indian FMCG Companies functional domain of Strategic domain. T Test Table Variable 1 Variable 2 Mean 43.57142857 40.14285714 Variance 2.952380952 10.47619048 Observations 7 7 Hypothesized 0 Mean Difference df 12 t Stat 2.475410991 P(T<=t) one-tail 0.017627945 t Critical one-tail 1.833112933 5.39

P(T<=t) two-tail 0.035255891 t Critical two-tail 2.17881283 In a T test for a 95% confidence level, if the significance level is greater than or equal to 0.05 then it signifies that there is no significance difference between implementation of BI at Top level of Management in Indian companies and foreign companies at Automobile Manufacturing Industry. From the T test Table we can derive that two tailed significance level of 0.03 has been achieved. This means the T test is showing a significance difference in agreement level of BI implementation at Strategic domain of foreign viz-a-viz Indian FMCG Companies. Hence null hypothesis is Rejected (T cal is More than T tab) because T Cal = 2.4754 is More than T tab = 2.178. So, we can conclude that at 95% confidence level there is a significant difference in an agreement level of BI Model at Strategic domain of foreign vs. Indian FMCG Companies. 5.3.2.2 Analysis of Sales & Marketing domain of FMCG Industry in Foreign v/s Indian Companies: Sr. Name of the SL - SL - ML - Sales Total No Company Sales Marketing & Marketing 1 Unilever 35 39 44 118 2 Coca 37 35 43 115 Cola 3 Colgate 32 41 47 120 Palmolive 4 P & G 34 39 46 119 5 Nestle 33 38 46 117 6 Phillip Morris 35 34 41 110 5.40

7 Kraft 31 33 46 110 Food Total 237 259 313 809 Count 7 7 7 7 Average 33.86 37.00 44.71 115.57 STDEV 2.04 3.00 2.14 4.12 Variance 4.14 9.00 4.57 16.95 Sr. Name of the SL - SL - ML - Sales & Total No Company Sales Marketing Marketing 1 Amul India 31 39 41 111 Pvt. Ltd. 2 Marico 31 34 39 104 Industries 3 ITC 34 37 41 112 4 Parle Agro 32 35 37 104 5 Nirma 27 37 35 99 6 Godrej 34 35 39 108 Consumer Products 7 Dabur 35 38 40 113 Total 224 255 272 751 Count 7 7 7 7 Average 32.00 36.43 38.86 107.29 STDEV 2.71 1.81 2.19 5.15 Variance 7.33 3.29 4.81 26.57 Table 5.17 Analysis of Sales & Marketing domain at FMCG Industry in Foreign v/s Indian Companies As shown in the table, the highest agreement level of BI Model at Sales and Marketing Domain of Indian FMCG Companies is achieved by Dabur with the score of 113 where as in foreign FMCG Companies it is 5.41

achieved by Colgate Palmolive with the highest score of 120. Apparently, this shows that there is a difference at an agreement level of BI Model in Indian and Foreign FMCG Companies at Sales and Marketing Domain and after conducting T Test we can conclude as follows: H0: There is no Significant Difference in the Agreement Level of BI Model in Indian FMCG Companies At functional domain of Sales and Marketing. H1: There is a Significant Difference in the Agreement Level of BI Model in Indian FMCG Companies At functional domain of Sales and Marketing. T Test Table Variable 1 Variable 2 Mean 115.571429 107.285714 Variance 16.952381 26.5714286 Observations 7 7 Hypothesized 0 Mean Difference df 12 t Stat 3.32288662 P(T<=t) one-tail 0.00339821 t Critical one-tail 1.79588482 P(T<=t) two-tail 0.00679642 t Critical two-tail 2.17881283 In a T test for a 95% confidence level, if the significance level is greater than or equal to 0.05 then it signifies that there is no significance difference between implementation of BI at Top level of Management in Indian companies and foreign companies at Automobile Manufacturing Industry. 5.42

From the T test Table we can derive that a two tiled significance level of 0.006 has been achieved. This means the T test is showing a significance difference in agreement level of BI implementation at Sales and Marketing Domain of foreign viz-a-viz Indian FMCG Companies. Hence null hypothesis is Rejected (T cal is More than T tab) because T Cal = 3.3229 is More than T tab = 2.178. So, we can conclude that at 95% confidence level there is a significant difference in an agreement level of BI Model at Sales and Marketing Domain of foreign vs. Indian FMCG Companies. 5.3.2.3 Analysis of Operations domain of FMCG Industry in Foreign v/s Indian Companies: Sr. No. Name of SL - ML - Total the Company Operations Operations 1 Unilever 30 41 71 2 Coca 33 45 78 Cola 3 Colgate 29 49 78 Palmolive 4 P & G 32 46 78 5 Nestle 25 46 71 6 Phillip 30 45 75 Morris 7 Kraft 23 46 69 Food Total 202 318 520 Count 7 7 7 Average 50.50 45.43 74.29 STDEV 61.31 2.37 3.90 5.43

Variance 3758.57 5.62 15.24 Sr. Name of SL - ML - Total No. the Company Operations Operations 1 Amul 23 34 57 India Pvt. Ltd. 2 Marico 31 45 76 Industries 3 ITC 30 45 75 4 Parle 29 40 69 Agro 5 Nirma 29 40 69 6 Godrej 33 44 77 Consumer Products 7 Dabur 31 40 71 Total 206 288 494 Count 7 7 7 Average 51.50 41.14 70.57 STDEV 62.50 3.93 6.83 Variance 3905.71 15.48 46.62 Table 5.18 Analysis of Operations Domain at FMCG Industry in Foreign v/s Indian Companies As shown in the table, the highest agreement level of BI Model at Operations Domain of Indian FMCG Companies is achieved by Godrej Consumer Products with the score of 77 where as in foreign FMCG Companies it is achieved by three companies namely Colgate Palmolive, Coca Cola and P & G with the highest score of 78. Apparently, this shows that there is a little difference at an agreement 5.44

level of BI Model in Indian and Foreign FMCG Companies at Operations Domain and after conducting T Test we can conclude as follows: H0: There is no Significant Difference in the Agreement Level of BI Model in Indian FMCG Companies At functional domain of Operations. H1: There is no Significant Difference in the Agreement Level of BI Model in Indian FMCG Companies At functional domain of Operations. T Test Table Variable Variable 2 1 Mean 74.28571 70.57142857 Variance 15.2381 46.61904762 Observations 7 7 Hypothesized 0 Mean Difference df 12 t Stat 1.24948 P(T<=t) one-tail 0.119971 t Critical one-tail 1.812461 P(T<=t) two-tail 0.239943 t Critical two-tail 2.178813 In a T test for a 95% confidence level, if the significance level is greater than or equal to 0.05 then it signifies that there is no significance difference between implementation of BI at Top level of Management in Indian companies and foreign companies at Automobile Manufacturing Industry. 5.45

From the T test Table we can derive that a two tiled significance level of 0.24 has been achieved. This means the T test is showing no significance difference in agreement level of BI implementation at Operations Domain of foreign viz-a-viz Indian FMCG Companies. Hence null hypothesis is Accepted (T cal is Less than T tab) because T Cal = 1.24948 is less than T tab = 2.178. So, we can conclude that at 95% confidence level there is no significant difference in an agreement level of BI Model at Operations Domain of foreign vs. Indian FMCG Companies. 5.46

5.3.3 Logistics Industry Analysis 5.3.3.1 Analysis of Strategic domain at Logistics Industry in Foreign v/s Indian Companies: Sr. No. Name of the Company Strategic domain 1 Kingfisher Cargo 39 39 2 First Flight 45 45 3 Gati 40 40 4 Safe Express 42 42 5 Patel Logistics 42 42 6 OM Logistics 45 45 7 DTDC 43 43 Total 296 296 Count 7 7 Total Average 42.29 42.29 STDEV 2.29 2.29 Variance 5.24 5.24 Sr. No. Name of the Company Strategic domain 1 DHL 41 41 2 UPS 39 39 3 Fed Ex 40 40 4 Ryder 44 44 5 Nippon 44 44 6 APM 42 42 7 TNT 44 44 Total 294 294 Count 7 7 Total 5.47

Average 42.00 42.00 STDEV 2.08 2.08 Variance 4.33 4.33 Table 5.19 Analysis of Strategic Domain at Logistic Industry in Foreign v/s Indian Companies As shown in the table, the highest agreement level of BI Model at Strategic domain at Indian LOGISTICS companies is achieved by First Flight and Om Logistics with the score of 45 where as in foreign LOGISTICS Companies it is achieved by Ryder, Nippon and TNT with the highest score of 44. Apparently, this shows that there is a difference at an agreement level of BI Model in Indian and Foreign LOGISTICS Companies at Strategic domain but after conducting T Test we can conclude as follows: H0: There is no Significant Difference in the Agreement Level of BI Model in Indian LOGISTICS Companies at functional domain of Strategic domain. H1: There is a Significant Difference in the Agreement Level of BI Model in Indian LOGISTICS Companies at functional domain of Strategic domain. T Test Table Variable 1 Variable 2 Mean 42 42.28571429 Variance 4.333333333 5.238095238 Observations 7 7 Hypothesized 0 Mean Difference df 12 t Stat 0.244338889 P(T<=t) one-tail 0.405548073 t Critical one-tail 1.782287556 5.48

P(T<=t) two-tail 0.811096145 t Critical two-tail 2.17881283 In a T test for a 95% confidence level, if the significance level is greater than or equal to 0.05 then it signifies that there is no significance difference between implementation of BI at Top level of Management in Indian companies and foreign companies at Logistics Industry. From the T test Table we can derive that two tailed significance level of 0.81 has been achieved. This means the T test is showing no significance difference in agreement level of BI implementation at Strategic domain of foreign viz-a-viz Indian LOGISTICS Companies. Hence null hypothesis is Accepted (T cal is Less than T tab) because T Cal = 0.2443 is Less than T tab = 2.178. So, we can conclude that at 95% confidence level there is no significant difference in an agreement level of BI Model at Strategic domain of foreign vs. Indian LOGISTICS Companies. 5.3.3.2 Analysis of Sales & Marketing domain of Logistics Industry in Foreign v/s Indian Companies: Sr. Name of the SL - Sales SL - Marketing ML - Sales & Total No. Company Marketing 1 Kingfisher Cargo 32 42 41 115 2 First Flight 33 41 41 115 3 Gati 35 37 42 114 4 Safe Express 33 37 44 114 5 Patel Logistics 33 37 41 111 6 OM Logistics 30 39 38 107 7 DTDC 30 41 37 108 Total 226 274 284 784 5.49

Count 7 7 7 7 Average 32.29 39.14 40.57 112.00 STDEV 1.80 2.19 2.37 3.37 Variance 3.24 4.81 5.62 11.33 Sr. Name of the SL - SL - ML - Total No. Company Sales Marketing Sales & Marketing 1 DHL 35 38 41 114 2 UPS 32 39 41 112 3 Fed Ex 35 36 38 109 4 Ryder 37 38 39 114 5 Nippon 33 38 38 109 6 APM 35 36 43 114 7 TNT 37 38 46 121 Total 244 263 286 793 Count 7 7 7 7 Average 34.86 37.57 40.86 113.29 STDEV 1.86 1.13 2.91 4.07 Variance 3.48 1.29 8.48 16.57 Table 5.20 Analysis of Sales & Marketing Domain at Logistic Industry in Foreign v/s Indian Companies As shown in the table, the highest agreement level of BI Model at Sales and Marketing Domain of Indian LOGISTICS Companies is achieved by Kingfisher Cargo and First Flight with the score of 115 where as in foreign LOGISTICS Companies it is achieved by DHL, Ryder and APM with the highest score of 114. Apparently, this shows that there is a difference at an agreement level of BI Model in Indian and Foreign LOGISTICS Companies at Sales and Marketing Domain and after conducting T Test we can conclude as follows: 5.50

H0: There is no Significant Difference in the Agreement Level of BI Model in Indian LOGISTICS Companies At functional domain of Sales and Marketing. H1: There is no Significant Difference in the Agreement Level of BI Model in Indian LOGISTICS Companies At functional domain of Sales and Marketing. T Test Table Variable 1 Variable 2 Mean 113.285714 112 Variance 16.5714286 11.3333333 Observations 7 7 Hypothesized Mean Difference 0 Df 12 t Stat 0.64395323 P(T<=t) one-tail 0.26586058 t Critical one-tail 1.78228756 P(T<=t) two-tail 0.53172116 t Critical two-tail 2.17881283 In a T test for a 95% confidence level, if the significance level is greater than or equal to 0.05 then it signifies that there is no significance difference between implementation of BI at Top level of Management in Indian companies and foreign companies at Logistics Industry. From the T test Table we can derive that a two tiled significance level of 0.5317 has been achieved. This means the T test is showing no significance difference in agreement level of BI implementation at Sales and Marketing Domain of foreign viz-a-viz Indian LOGISTICS Companies. Hence null hypothesis is Accepted (T cal is Less than T tab) because T Cal = 0.6440 is Less than T tab = 2.178. So, we can conclude that at 95% confidence level there is a significant difference in an agreement level of BI Model at Sales and Marketing Domain of foreign vs. Indian LOGISTICS Companies. 5.51

5.3.3.3 Analysis of Operations domain of LOGISTICS Industry in Foreign v/s Indian Companies: Sr. No. Name of the Company SL - Operations ML - Operation Total 1 Kingfisher Cargo 30 38 68 2 First Flight 28 49 77 3 Gati 29 45 74 4 Safe Express 29 47 76 5 Patel Logistics 33 45 78 6 OM Logistics 26 42 68 7 DTDC 33 42 75 Total 208 308 516 Count 7 7 7 Average 52.00 44.00 73.71 STDEV 63.08 3.65 4.11 Variance 3978.86 13.33 16.90 Sr. No. Name of the Company SL - Operations ML - Operation Total 1 DHL 31 45 76 2 UPS 32 45 77 3 Fed Ex 33 43 76 4 Ryder 29 44 73 5 Nippon 29 44 73 6 APM 28 38 66 7 TNT 31 47 78 Total 213 306 519 Count 7 7 7 Average 53.25 43.71 74.14 STDEV 64.57 2.81 4.06 Variance 4169.36 7.90 16.48 Table 5.21 Analysis of Operations Domain at Logistic Industry in Foreign v/s Indian Companies As shown in the table, the highest agreement level of BI Model at Operations Domain of Indian LOGISTICS Companies is achieved by Patel Logistics with the score of 78 where as in foreign LOGISTICS Companies it is achieved by three companies namely TNT with the highest score of 78. Apparently, this shows that there is no significant difference at an agreement level of BI Model in Indian and Foreign LOGISTICS Companies at Operations Domain and after conducting T Test we can conclude as follows: 5.52

H0: There is no Significant Difference in the Agreement Level of BI Model in Indian LOGISTICS Companies At functional domain of Operations. H1: There is a Significant Difference in the Agreement Level of BI Model in Indian LOGISTICS Companies At functional domain of Operations. T Test Table Variable 1 Variable 2 Mean 74.14286 73.71428571 Variance 16.47619 16.9047619 Observations 7 7 Hypothesized 0 Mean Difference df 12 t Stat 0.196256 P(T<=t) one-tail 0.423847 t Critical one-tail 1.782288 P(T<=t) two-tail 0.847694 t Critical two-tail 2.178813 In a T test for a 95% confidence level, if the significance level is greater than or equal to 0.05 then it signifies that there is no significance difference between implementation of BI at Top level of Management in Indian companies and foreign companies at Logistics Industry. From the T test Table we can derive that a two tiled significance level of 0.8477 has been achieved. This means the T test is showing no significance difference in agreement level of BI implementation at Operations Domain of foreign viz-a-viz Indian LOGISTICS Companies. Hence null hypothesis is Accepted (T cal is Less than T tab) because T 5.53

Cal = 0.1962 is less than T tab = 2.178. So, we can conclude that at 95% confidence level there is no significant difference in an agreement level of BI Model at Operations Domain of foreign vs. Indian LOGISTICS Companies. 5.54

5.4.1.1 Analysis of Strategic domain at RETAIL Industry in Foreign v/s Indian Companies: Sr. No. Name of the Company Strategic domain Total 1 Reliance 39 39 2 Big Bazar 43 43 3 More 42 42 4 RPG 38 38 5 Easy Day 38 38 6 Vishal Mega Mart 39 39 7 West Side 39 39 Sr. No. 5.4.1 Retail Industry Analysis Total 278 278 Count 7 7 Average 39.71 39.71 STDEV 1.98 1.98 Variance 3.90 3.90 Name of the Company Strategic domain Total 1 Shopper's Stop 42 42 2 Walmart 40 40 3 Carrer Four 41 41 4 Metro AG 41 41 5 Wool Worth 42 42 6 Lobaly 38 38 7 Bailian 41 41 Total 285 285 Count 7 7 5.55

Average 40.71 40.71 STDEV 1.38 1.38 Variance 1.90 1.90 Table 5.22 Analysis of Strategic Domain at Retail Industry in Foreign v/s Indian Companies As shown in the table, the highest agreement level of BI Model at Strategic domain at Indian RETAIL companies is achieved by Big Bazar with the score of 43 where as in foreign RETAIL Companies it is achieved by Shopper s stop and wool worth with the highest score of 42. Apparently, this shows that there is a difference at an agreement level of BI Model in Indian and Foreign RETAIL Companies at Strategic domain but after conducting T Test we can conclude as follows: H0: There is no Significant Difference in the Agreement Level of BI Model in Indian RETAIL Companies At functional domain of Strategic domain. H1: There is a Significant Difference in the Agreement Level of BI Model in Indian RETAIL Companies At functional domain of Strategic domain. T Test Table t-test: Two-Sample Assuming Unequal Variances Variable 1 Variable 2 Mean 40.71428571 39.71428571 Variance 1.904761905 3.904761905 Observations 7 7 Hypothesized Mean 0 Difference df 12 t Stat 1.097687584 P(T<=t) one-tail 0.147893968 5.56

t Critical one-tail 1.795884819 P(T<=t) two-tail 0.295787936 t Critical two-tail 2.17881283 In a T test for a 95% confidence level, if the significance level is greater than or equal to 0.05 then it signifies that there is no significance difference between implementation of BI at Top level of Management in Indian companies and foreign companies at Retail Industry. From the T test Table we can derive that two tailed significance level of 0.2958 has been achieved. This means the T test is showing no significance difference in agreement level of BI implementation at Strategic domain of foreign viz-a-viz Indian RETAIL Companies. Hence null hypothesis is Accepted (T cal is Less than T tab) because T Cal = 1.0977 is Less than T tab = 2.178. So, we can conclude that at 95% confidence level there is no significant difference in an agreement level of BI Model at Strategic domain of foreign vs. Indian RETAIL Companies 5.57

5.3.4.2 Analysis of Sales & Marketing domain of Retail Industry in Foreign v/s Indian Companies: Sr. No. Name of the Company SL - Sales SL - ML - Sales & Marketing Marketing Total 1 Reliance 35 40 40 115 2 Big Bazar 31 37 42 110 3 More 37 37 42 116 4 RPG 36 39 41 116 5 Easy Day 32 42 41 115 6 Vishal Mega Mart 33 34 43 110 7 West Side 35 34 38 107 Total 239 263 287 789 Count 7 7 7 7 Average 34.14 37.57 41.00 112.71 STDEV 2.19 2.99 1.63 3.64 Variance 4.81 8.95 2.67 13.24 Sr. No. Name of the Company SL - Sales SL - Marketing ML - Sales & Marketing Total 1 Shopper's Stop 37 39 41 117 2 Walmart 35 36 38 109 3 Carrer Four 32 37 42 111 4 Metro AG 33 34 41 108 5 Wool Worth 34 36 40 110 6 Lobaly 32 35 44 111 7 Bailian 32 39 42 113 Total 235 256 288 779 Count 7 7 7 7 Average 33.57 36.57 41.14 111.29 STDEV 1.90 1.90 1.86 2.98 5.58

Variance 3.62 3.62 3.48 8.90 Table 5.23 Analysis of Sales & Marketing Domain at Retail Industry in Foreign v/s Indian Companies As shown in the table, the highest agreement level of BI Model at Sales and Marketing Domain of Indian RETAIL Companies is achieved by More and RPG with the score of 116 where as in foreign RETAIL Companies it is achieved by Shopper s stop with the highest score of 117. Apparently, this shows that there is a difference at an agreement level of BI Model in Indian and Foreign RETAIL Companies at Sales and Marketing Domain and after conducting T Test we can conclude as follows: H0: There is no Significant Difference in the Agreement Level of BI Model in Indian RETAIL Companies At functional domain of Sales and Marketing. H1: There is a Significant Difference in the Agreement Level of BI Model in Indian RETAIL Companies At functional domain of Sales and Marketing. T Test Table Variable 1 Variable 2 Mean 111.285714 112.714286 Variance 8.9047619 13.2380952 Observations 7 7 Hypothesized Mean 0 Difference df 12 t Stat -0.8032193 P(T<=t) one-tail 0.21873446 t Critical one-tail 1.78228756 P(T<=t) two-tail 0.43746892 t Critical two-tail 2.17881283 5.59

In a T test for a 95% confidence level, if the significance level is greater than or equal to 0.05 then it signifies that there is no significance difference between implementation of BI at Top level of Management in Indian companies and foreign companies at Retail Industry. From the T test Table we can derive that a two tiled significance level of 0.4375 has been achieved. This means the T test is showing no significance difference in agreement level of BI implementation at Sales and Marketing Domain of foreign viz-a-viz Indian RETAIL Companies. Hence null hypothesis is Accepted (T cal is Less than T tab) because T Cal = -0.8032 is More than T tab = 2.178. So, we can conclude that at 95% confidence level there is no significant difference in an agreement level of BI Model at Sales and Marketing Domain of foreign vs. Indian RETAIL Companies. 5.60

5.3.4.3 Analysis of Operations domain of RETAIL Industry in Foreign v/s Indian Companies: Sr. No. Name of the SL - ML - Total Company Operations Operations 1 Reliance 37 44 81 2 Big Bazar 27 64 91 3 More 31 45 76 4 RPG 31 48 79 5 Easy Day 31 45 76 6 Vishal Mega 31 44 75 Mart 7 West Side 31 45 76 Total 219 335 554 Count 7 7 7 Average 54.75 47.86 79.14 STDEV 66.42 7.24 5.64 Variance 4411.93 52.48 31.81 Sr. No. Name of the SL - ML - Total Company Operations Operations 1 Shopper's Stop 31 48 79 2 Walmart 33 43 76 3 Carrer Four 31 44 75 4 Metro AG 31 45 76 5 Wool Worth 32 44 76 6 Lobaly 28 46 74 7 Bailian 28 47 75 Tota 206 317 523 l Count 7 7 7 5.61

Average 52.50 45.29 75.86 STDEV 62.05 1.80 1.57 Variance 3850.00 3.24 2.48 Table 5.24 Analysis of Operations Domain at Retail Industry in Foreign v/s Indian Companies As shown in the table, the highest agreement level of BI Model at Operations Domain of Indian RETAIL Companies is achieved by Big Bazar with the score of 91 where as in foreign RETAIL Companies it is achieved by three companies namely Shopper s stop with the highest score of 79. Apparently, this shows that there is a little difference at an agreement level of BI Model in Indian and Foreign RETAIL Companies at Operations Domain and after conducting T Test we can conclude as follows: H0: There is no Significant Difference in the Agreement Level of BI Model in Indian RETAIL Companies At functional domain of Operations. H1: There is a Significant Difference in the Agreement Level of BI Model in Indian RETAIL Companies At functional domain of Operations. T Test Table t-test: Two-Sample Assuming Unequal Variances Variable 1 Variable 2 Mean 75.85714 79.14285714 Variance 2.47619 31.80952381 Observations 7 7 Hypothesized 0 Mean Difference df 12 t Stat -1.48464 P(T<=t) one-tail 0.090608 t Critical one-tail 1.894579 P(T<=t) two-tail 0.181215 5.62

t Critical two-tail 2.178813 In a T test for a 95% confidence level, if the significance level is greater than or equal to 0.05 then it signifies that there is no significance difference between implementation of BI at Top level of Management in Indian companies and foreign companies at Retail Industry. From the T test Table we can derive that a two tiled significance level of 0.18 has been achieved. This means the T test is showing no significance difference in agreement level of BI implementation at Operations Domain of foreign viz-a-viz Indian RETAIL Companies. Hence null hypothesis is Accepted (T cal is Less than T tab) because T Cal = -1.48464 is less than T tab = 2.178. So, we can conclude that at 95% confidence level there is no significant difference in an agreement level of BI Model at Operations Domain of foreign vs. Indian RETAIL Companies. 5.63