DecisionCraft Proposition
|
|
|
- Cordelia Baldwin
- 10 years ago
- Views:
Transcription
1 Ltd. DecisionCraft Proposition
2 Background Consulting firm with focus on quantitative modeling & analytical techniques Founded by thought leaders with vast experience in academia & industry Teams with ideal mix of functional, analytics & IT experts Talent pool from globally recognized schools Global clientele (US, Europe & A-Pac) Leadership Team Raviratan Arora, MBA (Indian Institute of Management, Ahmedabad) 1983, CEO and Founder Service Domains Business Diagnostics Predictive Analytics Forecasting Across industries Financial Services Media Petrochemicals Nilotpal Chakravarti, PhD (OR) -University of Waterloo President (Modeling Lab) P R Shukla, PhD-Stanford University Chairman & Founder Pankaj Chandra, PhD (Supply Chain) -Wharton University Founder 1
3 Our Services What can we do Business Diagnostics Business Diagnostics is the art & science of facilitating the business to identify and define problem(s)clearly. In letting the business identify the problem, we find solutions to treat the problem(s) and not symptoms. Our approach is: Ask the right questions and Use the right data mining techniques Clients will: Realize hidden data relationships Discover causes & effects of business parameters Improve operational efficiencies Launch new products/services Measure & improve performance of resources & processes We have helped clients in: Identifying high-profit segments Identifying bottlenecks in distribution network Defining optimal scheduling & rostering logic and implementing IT solutions Predictive Analytics Predictive Analytics is the use of advanced data mining and quantitative modeling techniques for developing a well-informed view of the future. We work with our clients in understanding historical customer behavior to predict future market trends and evolving customer behavior. Our approach is: Collect right data and analyze (Using Parametric, Non-parametric, Multivariate techniques) Construct mathematical models (Using Business Principles, Advanced Statistics, Heuristics) We have helped clients in: Predicting estimated benefits due to revised collector-account matching algorithm Predicting product profitability due to reassignment of accounts to brokers Predicting customer-churn Predicting online behavior of Internet users to help in behavioral advertising Predicting demographics of online users Forecasting "Prediction is very difficult, especially if it's about the future." - Niels Bohr, Nobel laureate in Physics Constructing a model that fits past data is relatively easy. We have mastered the art of predicting future with high accuracy levels. We have predicted petrochemical prices to an accuracy of > 95%. We are well-versed with advanced time series analysis (For e.g., Exponential Smoothing, Box-Jenkin's, Box-Tiao, ARCH/GARCH) and Regression Techniques. We have expertise in applying techniques such as Artificial Neural Networks (ANN), Genetic Algorithms etc. Some of our engagements in this space: Developing an approach based on bestpractices for forecasting sales of FMCG Forecasting the region-wise demand for commodities Forecasting the prices of petrochemicals globally 2
4 Our Methodology Requirements Phase Understand client requirements, problem structuring Understanding definition, understanding, formatting, & security Diagnostic Phase Hypothesis testing, relationships, causalities Management Industry Knowledge Findings Findings Our methodology is simple, powerful and proven. Adequate involvement of client ensures no surprises. Feedback loops exist at all steps to incorporate client reviews. IT Support Operational Phase Using IT systems, where required Statistical Techniques Model Results Modeling Phase Model construction & validation 3
5 Industry Domains Industry Domain Financial Services Type of Work Business Diagnostics, Predictive Analytics Profitability analysis by product Analysis on factors affecting expected losses Account segmentation by classification and regression Broker-level analysis, share of wallet & white-space analysis Skills/Tools/Frameworks MS-Access, SAS, Excel-VBA for data analysis Bivariate and Multivariate analysis CART for segmentation ANOVA for hypothesis testing Business Diagnostics, Predictive Analytics & Math Modeling Definition of debt collection yield metrics Analysis on account attributes affecting yield Identification of debt segments Debt collector clustering & performance metrics Optimization techniques to maximize collector benefit Oracle, SAS, Excel-VBA for data analysis Univariate, Bivariate analysis CART for segmentation Clustering algorithms LP algorithm for benefit maximization engine Media Predictive Analytics Behavioral targeting engine (Predicting online user behavior) Demographic advertising engine (Demographic profiling of users & websites) Tools for media buying, media planning etc. Predictive Analytics for the largest overnight TV rating company Media Optimizer Audience churn prediction for programs Probabilistic distributions Custom-built behavioral and demographic targeting engines Java, Linux, SQL Server technology has the right mix of business analysts and consultants with in-depth domain knowledge. Our association with academia ensures utilization of the best brains. 4
6 Industry Domains Industry Domain Cement Petrochemicals Type of Work Business Strategy Consulting, Predictive Analytics Study & evaluate the existing logistic network using industry best practices Design roadmap for to implement new logistic network Forecasting Development of forecasting models for a combination of 19 regions & 3 products High accuracy levels (80-90%) were achieved Series of ARIMA & Holt-Winter s models were used The forecasts enabled setting up sales targets & recommend inventory levels Forecasting Development of forecasting model for the petrochemical prices Very high accuracy levels achieved (greater than 95%) consistently Experimental models were built using different techniques Aim was to maximize both short-term (1 month) forecasting accuracy and develop long-term (10-12 months) view Developed market sentiment index Skills/Tools/Frameworks Interviewing techniques (to collect information from distributors) ARIMA, Holt-Winter forecasting techniques SCOR model Researching & interviewing techniques Advanced forecasting techniques (Holt s method, ARIMA, GARCH, Artificial Neural Networks) SAS, Excel-VBA 5
7 Our Value Proposition Context Market Intelligence People & Performance Distribution & Logistics Business Requirements Definition Mining Hypothesis Testing Model Construction Business Context Business Sales & Marketing Production & Operations Financial Actionable Business Solutions Implementation Support Our expertise is in connecting analytics to actionable business solutions 6
8 Some of our Clients Newport Computers, USA Integrated Decision Systems Consultancy, Singapore Specific Media Inc, USA Holcim, Sri Lanka Hindustan Lever Limited, India General Motors, USA In addition we have also worked with: One of UK s leading mortgage business specializing in sub-prime credit One of UK s leading mortgage business focusing on self-certified and special mortgages One of Europe s leading automobile support services The industry intelligence subsidiary of one of the world s largest publishing businesses All logos and other trademarks are the exclusive property of their respective holders who reserve all rights. 7
9 Contact Us Office: India Limited 601, Shapath-II, Opposite Rajpath Club, Sarkhej-Gandhinagar Highway, Ahmedabad , INDIA Tel: /8, /7 /8 Fax: Office: USA DecisionCraft Inc Plaza 5, Harborside Financial Center, Jersey City, NJ 07311, USA Tel: , Fax: Contact Person: Ms. Anjali Arora Website: 8
Advanced analytics at your hands
2.3 Advanced analytics at your hands Neural Designer is the most powerful predictive analytics software. It uses innovative neural networks techniques to provide data scientists with results in a way previously
Digging for Gold: Business Usage for Data Mining Kim Foster, CoreTech Consulting Group, Inc., King of Prussia, PA
Digging for Gold: Business Usage for Data Mining Kim Foster, CoreTech Consulting Group, Inc., King of Prussia, PA ABSTRACT Current trends in data mining allow the business community to take advantage of
ANALYTICS CENTER LEARNING PROGRAM
Overview of Curriculum ANALYTICS CENTER LEARNING PROGRAM The following courses are offered by Analytics Center as part of its learning program: Course Duration Prerequisites 1- Math and Theory 101 - Fundamentals
Business Analytics and Data Mining for CRM Business Analytics and Data Mining for CRM: Jumpstart workshop
: Jumpstart workshop Date and Place: Bangalore, Sep 1 st (Sat) and 2 nd (Sun) 2012 Registration Link: http://compegence.com/open-programs.php http://compegence.com/workshop-analytics-for-crm.php Audience:
Predictive Modeling Techniques in Insurance
Predictive Modeling Techniques in Insurance Tuesday May 5, 2015 JF. Breton Application Engineer 2014 The MathWorks, Inc. 1 Opening Presenter: JF. Breton: 13 years of experience in predictive analytics
Declared as Deemed-to-be University u/s 3 of the UGC Act,1956. For enrolment, send in your request to [email protected]
& JAIN UNIVERSITY Declared as Deemed-to-be University u/s 3 of the UGC Act,1956 Presents FACULTY DEVELOPMENT PROGRAM ON BUSINESS ANALYTICS Date : May 26 & 27, 2016 Last date for registration : 14th May
DEPARTMENT OF MANAGEMENT STUDIES MBA Master of Business Administration
DEPARTMENT OF MANAGEMENT STUDIES MBA Master of Business Administration Course No Course Title L T E P O TH C MS 5003 Basics of Probability and Statistics 2 0 0 0 4 6 3 MS 5004 Basics of Accounting and
Prediction of Stock Performance Using Analytical Techniques
136 JOURNAL OF EMERGING TECHNOLOGIES IN WEB INTELLIGENCE, VOL. 5, NO. 2, MAY 2013 Prediction of Stock Performance Using Analytical Techniques Carol Hargreaves Institute of Systems Science National University
Principles of Data Mining by Hand&Mannila&Smyth
Principles of Data Mining by Hand&Mannila&Smyth Slides for Textbook Ari Visa,, Institute of Signal Processing Tampere University of Technology October 4, 2010 Data Mining: Concepts and Techniques 1 Differences
Business Intelligence. Data Mining and Optimization for Decision Making
Brochure More information from http://www.researchandmarkets.com/reports/2325743/ Business Intelligence. Data Mining and Optimization for Decision Making Description: Business intelligence is a broad category
Prerequisites. Course Outline
MS-55040: Data Mining, Predictive Analytics with Microsoft Analysis Services and Excel PowerPivot Description This three-day instructor-led course will introduce the students to the concepts of data mining,
Introduction to Big Data Analytics p. 1 Big Data Overview p. 2 Data Structures p. 5 Analyst Perspective on Data Repositories p.
Introduction p. xvii Introduction to Big Data Analytics p. 1 Big Data Overview p. 2 Data Structures p. 5 Analyst Perspective on Data Repositories p. 9 State of the Practice in Analytics p. 11 BI Versus
BUS 655/655/455 Forecasting & Predictive Analytics How to Predict the Future with Confidence
BUS 655/655/455 Forecasting & Predictive Analytics How to Predict the Future with Confidence Spring 2015 Wednesday 6:30-9:15, Room 208 Prof. Stephen P. Stuk, Ph.D. Office GBS 409 Mobile: 678-468-3452 use
Data Analytical Framework for Customer Centric Solutions
Data Analytical Framework for Customer Centric Solutions Customer Savviness Index Low Medium High Data Management Descriptive Analytics Diagnostic Analytics Predictive Analytics Prescriptive Analytics
> Cognizant Analytics for Banking & Financial Services Firms
> Cognizant for Banking & Financial Services Firms Actionable insights help banks and financial services firms in digital transformation Challenges facing the industry Economic turmoil, demanding customers,
IBM SPSS Modeler Professional
IBM SPSS Modeler Professional Make better decisions through predictive intelligence Highlights Create more effective strategies by evaluating trends and likely outcomes. Easily access, prepare and model
ElegantJ BI. White Paper. The Competitive Advantage of Business Intelligence (BI) Forecasting and Predictive Analysis
ElegantJ BI White Paper The Competitive Advantage of Business Intelligence (BI) Forecasting and Predictive Analysis Integrated Business Intelligence and Reporting for Performance Management, Operational
A STUDY OF DATA MINING ACTIVITIES FOR MARKET RESEARCH
205 A STUDY OF DATA MINING ACTIVITIES FOR MARKET RESEARCH ABSTRACT MR. HEMANT KUMAR*; DR. SARMISTHA SARMA** *Assistant Professor, Department of Information Technology (IT), Institute of Innovation in Technology
Role Description. Position of a Data Scientist Machine Learning at Fractal Analytics
Opportunity to work with leading analytics firm that creates Insights, Impact and Innovation. Role Description Position of a Data Scientist Machine Learning at Fractal Analytics March 2014 About the Company
Information and Decision Sciences (IDS)
University of Illinois at Chicago 1 Information and Decision Sciences (IDS) Courses IDS 400. Advanced Business Programming Using Java. 0-4 Visual extended business language capabilities, including creating
Digital Enterprise. White Paper. Multi-Channel Strategies that Deliver Results with the Right Marketing Attribution Model
Digital Enterprise White Paper Multi-Channel Strategies that Deliver Results with the Right Marketing Model About the Authors Vishal Machewad Head Marketing Services Practice Vishal Machewad has over 13
IBM Client Innovation Centre Leicester - Vacancies for Experienced Hires
IBM Client Innovation Centre Leicester - Vacancies for Experienced Hires Background The IBM Client Innovation Centre (CIC) Leicester, is a wholly owned and new subsidiary of IBM and is the first of its
Get to Know the IBM SPSS Product Portfolio
IBM Software Business Analytics Product portfolio Get to Know the IBM SPSS Product Portfolio Offering integrated analytical capabilities that help organizations use data to drive improved outcomes 123
Role of Social Networking in Marketing using Data Mining
Role of Social Networking in Marketing using Data Mining Mrs. Saroj Junghare Astt. Professor, Department of Computer Science and Application St. Aloysius College, Jabalpur, Madhya Pradesh, India Abstract:
Banking Analytics Training Program
Training (BAT) is a set of courses and workshops developed by Cognitro Analytics team designed to assist banks in making smarter lending, marketing and credit decisions. Analyze Data, Discover Information,
Foundations of Business Intelligence: Databases and Information Management
Foundations of Business Intelligence: Databases and Information Management Problem: HP s numerous systems unable to deliver the information needed for a complete picture of business operations, lack of
Service courses for graduate students in degree programs other than the MS or PhD programs in Biostatistics.
Course Catalog In order to be assured that all prerequisites are met, students must acquire a permission number from the education coordinator prior to enrolling in any Biostatistics course. Courses are
Potential Value of Data Mining for Customer Relationship Marketing in the Banking Industry
Advances in Natural and Applied Sciences, 3(1): 73-78, 2009 ISSN 1995-0772 2009, American Eurasian Network for Scientific Information This is a refereed journal and all articles are professionally screened
The Data Mining Process
Sequence for Determining Necessary Data. Wrong: Catalog everything you have, and decide what data is important. Right: Work backward from the solution, define the problem explicitly, and map out the data
Your wisdom, our commitment. Department of Agro-Industrial Technology. Faculty of Agro-Industry, Kasetsart University.
Your wisdom, our commitment Department of Agro-Industrial Technology Faculty of Agro-Industry, Kasetsart University Bangkok, Thailand 50 Ngamwongwan Rd., Lad Yao, Chatuchak, Bangkok 10900 THAILAND Tel:
Lavastorm Analytic Library Predictive and Statistical Analytics Node Pack FAQs
1.1 Introduction Lavastorm Analytic Library Predictive and Statistical Analytics Node Pack FAQs For brevity, the Lavastorm Analytics Library (LAL) Predictive and Statistical Analytics Node Pack will be
A Datawarehousing/BI Session ANTHONY D NORIEGA [email protected] ADN R & D
Perspectives in Oracle Forecasting Analytics A Datawarehousing/BI Session ANTHONY D NORIEGA [email protected] ADN R & D 1 Speaker Qualifications Oracle Consultant, ADN R & D Speaker at Oracle OpenWorld,
not possible or was possible at a high cost for collecting the data.
Data Mining and Knowledge Discovery Generating knowledge from data Knowledge Discovery Data Mining White Paper Organizations collect a vast amount of data in the process of carrying out their day-to-day
DATA MINING TECHNIQUES AND APPLICATIONS
DATA MINING TECHNIQUES AND APPLICATIONS Mrs. Bharati M. Ramageri, Lecturer Modern Institute of Information Technology and Research, Department of Computer Application, Yamunanagar, Nigdi Pune, Maharashtra,
SURVEY REPORT DATA SCIENCE SOCIETY 2014
SURVEY REPORT DATA SCIENCE SOCIETY 2014 TABLE OF CONTENTS Contents About the Initiative 1 Report Summary 2 Participants Info 3 Participants Expertise 6 Suggested Discussion Topics 7 Selected Responses
Data Science, Predictive Analytics & Big Data Analytics Solutions. Service Presentation
Data Science, Predictive Analytics & Big Data Analytics Solutions Service Presentation Did You Know That According to the new research from GE and Accenture*: 87% of companies believe Big Data analytics
Data Mining + Business Intelligence. Integration, Design and Implementation
Data Mining + Business Intelligence Integration, Design and Implementation ABOUT ME Vijay Kotu Data, Business, Technology, Statistics BUSINESS INTELLIGENCE - Result Making data accessible Wider distribution
Data Science and Business Analytics Certificate Data Science and Business Intelligence Certificate
Data Science and Business Analytics Certificate Data Science and Business Intelligence Certificate Description The Helzberg School of Management has launched two graduate-level certificates: one in Data
Name: Srinivasan Govindaraj Title: Big Data Predictive Analytics
Name: Srinivasan Govindaraj Title: Big Data Predictive Analytics Please note the following IBM s statements regarding its plans, directions, and intent are subject to change or withdrawal without notice
SAS Enterprise Decision Management at a Global Financial Services Firm: Enabling More Rapid Implementation of Decision Models into Production
Buyer Case Study SAS Enterprise Decision Management at a Global Financial Services Firm: Enabling More Rapid Implementation of Decision Models into Production Brian McDonough IDC OPINION The goal of decision
Solution. Capturing and Managing Primary and Secondary Sales. Sarjen Systems Pvt. Ltd. 6/12/2013
Solution Capturing and Managing Primary and Secondary Sales Sarjen Systems Pvt. Ltd. 6/12/ 1. Business Case: Manufacturers are going through a constant change and the demand to adapt in this change is
EXECUTIVE PROGRAM IN BUSINESS ANALYTICS
EXECUTIVE PROGRAM IN BUSINESS ANALYTICS jigsawacademy.com/bocconi IMPORTANT DATES Last date to submit application: 25 February 2015 Candidate interviews: rolling basis starting 20 January 2015 Course start
Hurwitz ValuePoint: Predixion
Predixion VICTORY INDEX CHALLENGER Marcia Kaufman COO and Principal Analyst Daniel Kirsch Principal Analyst The Hurwitz Victory Index Report Predixion is one of 10 advanced analytics vendors included in
Forecasting Stock Prices using a Weightless Neural Network. Nontokozo Mpofu
Forecasting Stock Prices using a Weightless Neural Network Nontokozo Mpofu Abstract In this research work, we propose forecasting stock prices in the stock market industry in Zimbabwe using a Weightless
Master of Science in Health Information Technology Degree Curriculum
Master of Science in Health Information Technology Degree Curriculum Core courses: 8 courses Total Credit from Core Courses = 24 Core Courses Course Name HRS Pre-Req Choose MIS 525 or CIS 564: 1 MIS 525
Hexaware E-book on Predictive Analytics
Hexaware E-book on Predictive Analytics Business Intelligence & Analytics Actionable Intelligence Enabled Published on : Feb 7, 2012 Hexaware E-book on Predictive Analytics What is Data mining? Data mining,
Whitepaper. Power of Predictive Analytics. Published on: March 2010 Author: Sumant Sahoo
Published on: March 2010 Author: Sumant Sahoo 2009 Hexaware Technologies. All rights reserved. Table of Contents 1. Introduction 2. Problem Statement / Concerns 3. Solutions / Approaches to address the
IDENTIFICATION OF DEMAND FORECASTING MODEL CONSIDERING KEY FACTORS IN THE CONTEXT OF HEALTHCARE PRODUCTS
IDENTIFICATION OF DEMAND FORECASTING MODEL CONSIDERING KEY FACTORS IN THE CONTEXT OF HEALTHCARE PRODUCTS Sushanta Sengupta 1, Ruma Datta 2 1 Tata Consultancy Services Limited, Kolkata 2 Netaji Subhash
Time/Warner Retail Sales & Marketing Leverages S-PLUS Enterprise Server and Achieves $3.5 Million Annual Savings
Time/Warner Retail Sales & Marketing Leverages S-PLUS Enterprise Server and Achieves $3.5 Million Annual Savings Abstract 400 brands plus 120,000 retail outlets can add up to a production and distribution
Study Plan for the Master Degree In Industrial Engineering / Management. (Thesis Track)
Study Plan for the Master Degree In Industrial Engineering / Management (Thesis Track) Plan no. 2005 T A. GENERAL RULES AND CONDITIONS: 1. This plan conforms to the valid regulations of programs of graduate
Advanced Analytics Course Series
SAS Education Advanced Analytics Course Series September / October 2015 Discover real value in your corporate data. www.sas.de/education/analytics SAS Education Analytical Concepts Learn How to Explore
White Paper. Data Mining for Business
White Paper Data Mining for Business January 2010 Contents 1. INTRODUCTION... 3 2. WHY IS DATA MINING IMPORTANT?... 3 FUNDAMENTALS... 3 Example 1...3 Example 2...3 3. OPERATIONAL CONSIDERATIONS... 4 ORGANISATIONAL
Data Mining Solutions for the Business Environment
Database Systems Journal vol. IV, no. 4/2013 21 Data Mining Solutions for the Business Environment Ruxandra PETRE University of Economic Studies, Bucharest, Romania [email protected] Over
HIGH PERFORMANCE ANALYTICS FOR TERADATA
F HIGH PERFORMANCE ANALYTICS FOR TERADATA F F BORN AND BRED IN FINANCIAL SERVICES AND HEALTHCARE. DECADES OF EXPERIENCE IN PARALLEL PROGRAMMING AND ANALYTICS. FOCUSED ON MAKING DATA SCIENCE HIGHLY PERFORMING
Master of Science in Marketing Analytics (MSMA)
Master of Science in Marketing Analytics (MSMA) COURSE DESCRIPTION The Master of Science in Marketing Analytics program teaches students how to become more engaged with consumers, how to design and deliver
Industrial Roadmap for Connected Machines. Sal Spada Research Director ARC Advisory Group [email protected]
Industrial Roadmap for Connected Machines Sal Spada Research Director ARC Advisory Group [email protected] Industrial Internet of Things (IoT) Based upon enhanced connectivity of this stuff Connecting
Course Syllabus For Operations Management. Management Information Systems
For Operations Management and Management Information Systems Department School Year First Year First Year First Year Second year Second year Second year Third year Third year Third year Third year Third
Nagarjuna College Of
Nagarjuna College Of Information Technology (Bachelor in Information Management) TRIBHUVAN UNIVERSITY Project Report on World s successful data mining and data warehousing projects Submitted By: Submitted
Perm State University Master in Finance & Information Technology (MiFIT)
Perm State University Master in Finance & Information Technology (MiFIT) Page 1 Introduction Rapid changes in financial landscape demand finance professionals to double-quick develop practical solutions
Data Science & Big Data Practice
INSIGHTS ANALYTICS INNOVATIONS Data Science & Big Data Practice Customer Intelligence - 360 Insight Amplify customer insight by integrating enterprise data with external data Customer Intelligence 360
CORPORATE PRESENTATION
Ample Enterprise Technologies Pvt. Ltd. CORPORATE PRESENTATION At AMPLE, we are committed to deliver innovation and quality cost effective services to our clients GLOBALLY. AET works with small, medium,
NEURAL NETWORKS IN DATA MINING
NEURAL NETWORKS IN DATA MINING 1 DR. YASHPAL SINGH, 2 ALOK SINGH CHAUHAN 1 Reader, Bundelkhand Institute of Engineering & Technology, Jhansi, India 2 Lecturer, United Institute of Management, Allahabad,
Data Mining Applications in Higher Education
Executive report Data Mining Applications in Higher Education Jing Luan, PhD Chief Planning and Research Officer, Cabrillo College Founder, Knowledge Discovery Laboratories Table of contents Introduction..............................................................2
The key to knowing the best price is to fully understand consumer behavior.
A price optimization tool designed for small to mid-size companies to optimize infrastructure and determine the perfect price point per item in any given week DEBORAH WEINSWIG Executive Director- Head,
Our Raison d'être. Identify major choice decision points. Leverage Analytical Tools and Techniques to solve problems hindering these decision points
Analytic 360 Our Raison d'être Identify major choice decision points Leverage Analytical Tools and Techniques to solve problems hindering these decision points Empowerment through Intelligence Our Suite
Mobile Real-Time Bidding and Predictive
Mobile Real-Time Bidding and Predictive Targeting AdTheorent s Real-Time Learning Machine : An Intelligent Solution FOR Mobile Advertising Marketing and media companies must move beyond basic data analysis
Predictive Analytics Certificate Program
Information Technologies Programs Predictive Analytics Certificate Program Accelerate Your Career Offered in partnership with: University of California, Irvine Extension s professional certificate and
NICE MULTI-CHANNEL INTERACTION ANALYTICS
NICE MULTI-CHANNEL INTERACTION ANALYTICS Revealing Customer Intent in Contact Center Communications CUSTOMER INTERACTIONS: The LIVE Voice of the Customer Every day, customer service departments handle
Deliver a Better Digital Customer Experience Through Sonata s Digital Engagement Solutions
Deliver a Better Digital Customer Experience Through Sonata s Digital Engagement Solutions The World is Going Digital The incredible growth of the internet, the proliferation of mobile devices and the
Operations Research Department of Integrated Systems Engineering The Ohio State University
Operations Research Department of Integrated Systems Engineering The Ohio State University Operations Research (OR) applies advanced analytical methods to help make better decisions. Employing techniques
Maximizing Return and Minimizing Cost with the Decision Management Systems
KDD 2012: Beijing 18 th ACM SIGKDD Conference on Knowledge Discovery and Data Mining Rich Holada, Vice President, IBM SPSS Predictive Analytics Maximizing Return and Minimizing Cost with the Decision Management
How To Use Social Media To Improve Your Business
IBM Software Business Analytics Social Analytics Social Business Analytics Gaining business value from social media 2 Social Business Analytics Contents 2 Overview 3 Analytics as a competitive advantage
Concept Paper: MS in Business Analytics
Concept Paper: MS in Business Analytics MS in Business Analytics is proposed by: Saunders College of Business MIS, Marketing and Digital Business and Accounting and Finance Departments with designed collaboration
HR Analytics. Taking the guesswork out of decision making. kpmg.com/in
HR Analytics Taking the guesswork out of decision making kpmg.com/in Helping successful leaders make smart decisions Are you drowning in a sea of data? Does each data point seem to tell a different story?
A spreadsheet Approach to Business Quantitative Methods
A spreadsheet Approach to Business Quantitative Methods by John Flaherty Ric Lombardo Paul Morgan Basil desilva David Wilson with contributions by: William McCluskey Richard Borst Lloyd Williams Hugh Williams
Accenture Procurement BPO Services
Business Process Outsourcing Accenture Procurement BPO Services Generating value, reducing costs and driving high performance through procurement outsourcing Research shows that companies that are mastering
Importance or the Role of Data Warehousing and Data Mining in Business Applications
Journal of The International Association of Advanced Technology and Science Importance or the Role of Data Warehousing and Data Mining in Business Applications ATUL ARORA ANKIT MALIK Abstract Information
Data2Diamonds Turning Information into a Competitive Asset
WHITE PAPER Data2Diamonds Turning Information into a Competitive Asset In today s business world, information management (IM), business intelligence (BI) and have become critical to compete and thrive.
Important dimensions of knowledge Knowledge is a firm asset: Knowledge has different forms Knowledge has a location Knowledge is situational Wisdom:
Southern Company Electricity Generators uses Content Management System (CMS). Important dimensions of knowledge: Knowledge is a firm asset: Intangible. Creation of knowledge from data, information, requires
Executive Program in Business Analytics. 2015-2016 Edition
Executive Program in Business Analytics 2015-2016 Edition Business analytics is the most sought after skill in today s business world. Himanshu Rai Dean, MISB Bocconi SDA Bocconi Professor of Organization
Pentaho Data Mining Last Modified on January 22, 2007
Pentaho Data Mining Copyright 2007 Pentaho Corporation. Redistribution permitted. All trademarks are the property of their respective owners. For the latest information, please visit our web site at www.pentaho.org
Lecture/Recitation Topic SMA 5303 L1 Sampling and statistical distributions
SMA 50: Statistical Learning and Data Mining in Bioinformatics (also listed as 5.077: Statistical Learning and Data Mining ()) Spring Term (Feb May 200) Faculty: Professor Roy Welsch Wed 0 Feb 7:00-8:0
Comparison of K-means and Backpropagation Data Mining Algorithms
Comparison of K-means and Backpropagation Data Mining Algorithms Nitu Mathuriya, Dr. Ashish Bansal Abstract Data mining has got more and more mature as a field of basic research in computer science and
Outline. BI and Enterprise-wide decisions BI in different Business Areas BI Strategy, Architecture, and Perspectives
1. Introduction Outline BI and Enterprise-wide decisions BI in different Business Areas BI Strategy, Architecture, and Perspectives 2 Case study: Netflix and House of Cards Source: Andrew Stephen 3 Case
STOCHASTIC ANALYTICS: increasing confidence in business decisions
CROSSINGS: The Journal of Business Transformation STOCHASTIC ANALYTICS: increasing confidence in business decisions With the increasing complexity of the energy supply chain and markets, it is becoming
Northrop Grumman White Paper
Northrop Grumman White Paper Business Analytics for Better Government Authors: Patrick Elder and Thomas Naphor April 18, 2012 Northrop Grumman Corporation Information Systems Sector 7575 Colshire Drive
Analyze It use cases in telecom & healthcare
Analyze It use cases in telecom & healthcare Chung Min Chen, VP of Data Science The views and opinions expressed in this presentation are those of the author and do not necessarily reflect the position
SOFTWARE ENGINEER. For Online (front end) Java, Javascript, Flash For Online (back end) Web frameworks, relational databases, REST/SOAP, Java/Scala
SOFTWARE ENGINEER Video Game Engineering is intellectually demanding work. Our software engineers are faced with daily challenges that involve physics (from collision detection to complex physical reactions),
List of Ph.D. Courses
Research Methods Courses (5 courses/15 hours) List of Ph.D. Courses The research methods set consists of five courses (15 hours) that discuss the process of research and key methodological issues encountered
