Business Intelligence Software Customers Understanding, Expectations and Needs

Size: px
Start display at page:

Download "Business Intelligence Software Customers Understanding, Expectations and Needs"

Transcription

1 Business Intelligence Software 1 Running head: BUSINESS INTELLIGENCE SOFTWARE Business Intelligence Software Customers Understanding, Expectations and Needs Adis Sabanovic Thesis for the Master s degree in Business Administration, Spring 2008

2 Business Intelligence Software 2 Executive summary Modern companies operate in incredibly complex and dynamic environments. This is clearly characterized by constant changes in technology and in various market forces as well as by enormous amounts of data and information that need to be gathered and analyzed every day. Governmental regulations and ongoing competitor pressures, among other external and internal factors, are issues that managers and decision makers in a company must take into a consideration when making decisions. The need for BI systems is growing stronger and businesses in various industries demand such tools that will help them stay on the edge in order to be competitive. Hence the purpose of this paper is to find out what their companies desire when choosing a BI system to work with. What are their needs and what do they expect and understand from this technological system that will hopefully make them work easier and gain their knowledge about the business they operate in. A web questionnaire is aimed at 67 Swedish companies from various industries and the answers have been summarized and analyzed in different cross tables for comparison reasons. Respondents from the Manufacturing industry were those with the highest response rate. A model called The PET-model of BI implementation was created, as a result of the theoretical findings, and this model is used to finalize the results and the conclusions of this paper. Key words: BI, Business Intelligence, Business Intelligence Software, Competitive Intelligence, Decision Support Systems

3 Business Intelligence Software 3 TABLE OF CONTENTS 1 INTRODUCTION BACKGROUND THE DEFINITION OF BUSINESS INTELLIGENCE BI wide ranging Business Intelligence Software Why BI software Some categories of BI Tools BI software in organizations Expectations and needs of a BI software Common issues regarding BI usage Market of BI solutions today DEFINITIONS LIMITATIONS METHOD CHOICE OF METHODOLOGY RESEARCH PHILOSOPHY CHOICE OF THEORY THEORETICAL FRAMEWORK BI SOFTWARE CLASSIFICATION End user query, reporting, and analysis Advanced analytics ANALYTICAL APPLICATIONS Logical integration Interactive reports Integrated information Addressing of a Business domain TYPES OF BUSINESS INTELLIGENCE SYSTEMS Model driven BI system Data driven system Communication driven system Document driven system Knowledge driven system Web based system REAL TIME BI SYSTEM HOW REAL TIME BI SYSTEM WORKS Time importance when working with BI THE DIFFERENT USER GROUPS OF BI BI PLACEMENT IN THE ORGANIZATION The special dept. model of intelligence The advisory model of intelligence The professional model of intelligence The top down model of intelligence The Integrated Intelligence Model The down up model of intelligence The departmental model of intelligence SOME BI TOOLS ON THE MARKET TODAY SUBSOFT BRIEF PRESENTATION THEORY MODEL CREATION EMPIRICAL METHOD RESEARCH STRATEGY TIME HORIZON DATA COLLECTION METHOD POPULATION SAMPLE SELECTION RESEARCH CONDUCTION BI RESEARCH PLAN DATA ANALYSIS RESEARCH QUESTIONS RELIABILITY AND VALIDITY ANALYSIS EMPIRICAL FINDINGS CRITIQUE ANALYSIS CONCLUSIONS SUBSOFT COMPARED TO THE RESEARCH FINDINGS THESIS CONCLUSION PRACTICAL RELEVANCE DISCUSSION LIST OF REFERENCES APPENDICES APPENDIX 1, (SWEDISH) APPENDIX 2, (ENGLISH) APPENDIX 3, QUESTIONNAIRE RESULTS APPENDIX 4, QUESTIONNAIRE APPENDIX 5, INDUSTRY ANSWERS... 92

4 Business Intelligence Software 4 LIST OF TABLES TABLE 1 - WORLDWIDE BUSINESS INTELLIGENCE TOOLS REVENUE BY SEGMENT, TABLE 2 PET MODEL S PURCHASE FOUNDATIONS IN THE MANUFACTURING INDUSTRY...56 TABLE 3 - PET MODEL S PURCHASE FOUNDATIONS IN ALL INDUSTRIES COMBINED...59 TABLE 4 - PET MODEL S EMPLOYMENT FOUNDATIONS IN ALL INDUSTRIES COMBINED...59 TABLE 5 - PET MODEL S TASK FOUNDATIONS IN ALL INDUSTRIES COMBINED...61 LIST OF FIGURES FIGURE 1 - WORLDWIDE BUSINESS INTELLIGENCE TOOLS REVENUE SHARE BY REGION, FIGURE 2 CLASSIFICATIONS OF BI SOFTWARE...1 FIGURE 3 - REAL-TIME BI PROCESSING COMPONENTS...1 FIGURE 4 LATENCY IN BUSINESS INTELLIGENCE DECISION MAKING (HACKERTHORN, 2003)...1 FIGURE 5 REAL-TIME BI; ACTION TIME VS. IT COSTS (WHITE, 2003)...30 FIGURE 6 DIFFERENT BI USER NEEDS IN THE HIERARCHY (SOLBERG SØILEN, 2008)...1 FIGURE 7 THE SPECIAL DEPARTMENT MODEL OF INTELLIGENCE (SOLBERG SØILEN, 2008)...1 FIGURE 8 THE ADVISORY MODEL OF INTELLIGENCE (SOLBERG SØILEN, 2008)...1 FIGURE 9 THE PROFESSIONAL MODEL OF INTELLIGENCE (SOLBERG SØILEN, 2008)...1 FIGURE 10 THE TOP-DOWN MODEL OF INTELLIGENCE (SOLBERG SØILEN, 2008)...1 FIGURE 11 THE INTEGRATED INTELLIGENCE MODEL (SOLBERG SØILEN, 2008)...1 FIGURE 12 THE DOWN-UP MODEL OF INTELLIGENCE (SOLBERG SØILEN, 2008)...1 FIGURE 13 THE DEPARTMENTAL MODEL OF INTELLIGENCE (SOLBERG SØILEN, 2008)...1 FIGURE 14 SUBSOFT MODEL OF INTERNAL AND EXTERNAL FACTORS (SUBSOFT, 2008)...1 FIGURE 15 THE PET MODEL OF BI IMPLEMENTATION...1 FIGURE 16 BI RESEARCH PLAN...52 FIGURE 17 SURVEY RESPONDENTS REPRESENTED FROM DIFFERENT INDUSTRIES FIGURE 18 PET MODEL AFTER THE ANALYSIS...1

5 Business Intelligence Software 5 1 Introduction This Chapter describes the definition of Business Intelligence, why we choose to use it and also anticipated problems when using it as well as the purpose of this thesis. For the start, a short historical background about the term Business Intelligence is presented. 1.1 Background In the modern world of today the access to information is greater than ever before. In many cases the information flow is overwhelming and it sometimes leads to valuable information losses. Company leaders and other decision makers are trying to overcome this problem by investing in various sophisticated computerized solutions, also known as Business Intelligence Systems. But it is not only in the modern world that Business Intelligence Systems have been appreciated for their great capabilities of creating a better understanding of one s working environment. In 1958, the term Business Intelligence is used for the first time in an article called A business intelligence system by Hans Peter Luhn. Luhn was describing how to automate the process of collecting and sorting information from documents using current photo-printing technology. He was saving information on magnetic tapes and driving it through a process of auto encoding and auto abstracting programs to later sort it in different pattern storages. Processed information would then be put into a comparison area and sorted into three main categories: who needs to

6 Business Intelligence Software 6 know, who knows what, and what is known (Luhn, 1958). Already in 1958, Luhn had discovered the importance of information processing and that all greater information flows contains even greater value for the one who has the ability to turn it into knowledge. However, in his article Luhn admits that the type of equipment used for processing information, in late 1950 s, was in early stage of development and that a great deal of research has yet to be done to perfect the information processing technique. Ever since Luhn introduced us to Business Intelligence terminology, the importance of knowing how to turn information into knowledge has grown tremendously, especially among today s modern business leaders and other decision makers around the world. 1.2 The definition of Business Intelligence Today, after many facelifts and makeovers of BI there are quite many definitions. In many cases the same definition will be used for other terms such as; Competitive Intelligence (CI) or Decision Support Systems (DSS). A more recent definition of the term was coined by The Data Warehousing Institute (TDWI), a provider of education and training in the data warehousing and BI industry; and is as follows(loshin, 2003, p. 6): The process, technologies, and tools needed to turn data into information, information into knowledge, and knowledge into plans that drive profitable business action. Business intelligence encompasses data warehousing, business analytic tools, and content/knowledge management.

7 Business Intelligence Software 7 The characterization of the term Business Intelligence or BI, as it will be referred to throughout this paper, is basically still the same as in the early 1960 s but the significance and understanding of BI has changed as technology has improved, organizations have decentralized and the complexity levels of new information have increased BI wide-ranging The popularity of the term Business Intelligence has grown rapidly in the last decade. As mentioned earlier the definition of a BI software is yet somewhat open-ended and may differ from author to author. BI gives the impression of being a multifaceted term that can refer to processes, techniques or tools to support the making of faster and better decisions (Pirttimäki & Hannula, 2003). Expectations of what a BI software is supposed to perform, or accomplish, is even more differently understood by the users. In many cases, corporations are already using some kind of BI tools or solutions but have chosen to call them differently, e.g. Management Information Systems (MIS), Decision Support Systems (DSS), Executive Information Systems (EIS), et cetera. (Pagels-Fick, 2000) It is also common that companies, unknowingly, use small parts of a complete BI system, e.g. CRM- Customer Relation Management (CRM) and Knowledge Management which focuses exclusively on customers and knowledge while a complete BI system primarily deals with information (Solberg Søilen, 2005).

8 Business Intelligence Software Business Intelligence Software Business Intelligence (BI) software is used as an effective reporting and analyzing tool to better understand a company s organizational surrounding and environment and it gives managers basic data for decision. There are some main and very basic objectives that a BI tool must accomplish. These are to generate better information than your rivals do, to analyze that information and make sound choices, to make those choices quickly and to convert strategic choices into decisive actions (Vine, 2000) Why BI software There are many reasons for why a company should use business intelligence or decision support systems. Eckerson (2004) has, in his research, found that BI systems do not only help decision makers to make better and more efficient decision but that BI also helps the entire organization to improve Return on Investment (ROI) profitability, gain customer/supplier, as well as employee, satisfaction, et cetera. He also points out that if one BI system is implemented throughout the entire company, there is a single version of truth which helps the company to avoid misunderstandings and gets everyone going in the same direction (Eckerson, 2004). Loshin (2003) points out how Customer Relationship Management is improved and how certain risks are decreased by analyzing supplier/consumer activity and reliability, providing insight into how to rationalize the supply chain. BI can also help the companies to evaluate organizational costs and to improve logistics management, lowering the operational costs and decreasing the investments

9 Business Intelligence Software 9 required to make sales. Another areas of usage for BI is evaluation of customer lifetime value, short term-profitability expectations and using this knowledge to distinguish between profitable and non-profitable customers to increase profitability (Loshin, 2003) Some categories of BI Tools Most companies today use a set of different BI tools, instead of focusing on only one. The reason for that may be simple; different users prefer different types of BI tools. The tools may differ in reporting, ad hoc queries, OLAP, et cetera. BI tool vendors are doing their best to meet all those requirements allowing organizations to standardize on using one single tool and on one single vendor (DM Review and SourceMedia, Inc., 2005). Below, a list of some major categories of BI tools is presented: Production Reporting Tools: Used by professional developers to create standard reports for groups, departments or the enterprise. End-User Query and Reporting Tools: Used by end users to create reports for themselves or others and require no programming. OLAP Tools: Enable end users to "slice and dice" data dimensionally to explore data from different perspectives and time periods. Dashboard/Scorecard Tools: Enable end users to view critical performance data at a glance using graphical icons and drill down to analyze detailed data and reports if desired. Data Mining Tools: Enable statisticians or business analysts to create statistical models of business activity.

10 Business Intelligence Software 10 Planning and Modeling Tools: Enable analysts and end-users to create business plans and simulations against BI data. Planning tools supply dashboards and scorecards with targets and thresholds for metrics. (DM Review and SourceMedia, Inc., 2005) BI software in organizations When a company s business information is isolated in different BI tools the information risks to disappear and to never be used again. Many companies are therefore trying to tie the information together to create one overall strategy (Rådmark, 2007). Different suppliers of BI solutions are offering a too wide range of products as decision makers are only requiring one product that will give them a better overall picture of the company s activities and the surrounding environment. In the early days, BI software s focus was on the technical solutions and on the business analysis process that would provide the decision makers with information needed. Nowadays a BI-software must focus on making the information available for more people (workers) in the organization and making it more usable (Rådmark, 2007). Most companies are using different systems that control the information torrents, but only those who use BI can exploit the crucial information from different sources and decide what information to use. The leaders or decision makers are more interested in that specific information than in what technology is used exploiting it. It is about the management information rather than technology, because when the technical side is in focus the attention is

11 Business Intelligence Software 11 rather on the applications instead of creating what is best for decision making through small and complex BI solutions.(lindström, 2007) Traditionally, BI takes place high up in the organizations hierarchy but in today s organizations there is a strong demand for BI solutions that gives all decision makers access to relevant information, regardless of the level in the organization. One problem, Rådmark points out, is that if there are several solutions in the organization, there is a lack in the common strategy and responsibility distribution. Since BI, in its best form, should cut through the whole organization, or the bigger parts of it, it is not possible to place responsibility on one certain function. Therefore, the problem that many organizations face today is that BI tools are requiring a change in the organizational structure to create the best possible environment to not isolate vital business information but rather to spread and distribute it throughout the whole organization (Rådmark, 2007). The possibility of bringing fast information and making in transparent is very important. It is not only economically effective but also a competitive advantage to be able to analyze information faster and more effectively than your competitors (Lindström, 2007) Expectations and needs of a BI software A research conducted by BetterManagement (division of a SAS institute Inc. which does researches about business management issues around the world) in 2005 showed that only nine percent of BI software users were always provided with all the necessary information from the BI software to make effective business decisions and that only 45 percent of the users did sometimes get all the

12 Business Intelligence Software 12 information they needed (Miller, Bräutigam, & Gerlach, 2006). These numbers indicate that many corporate leaders have high expectations on a BI software before purchasing it but in very few cases the decision makers will actually completely rely on the information extracted from the software. What was instead demanded, or needed, by the companies, according to the survey, were the following statements: 1. Improved quality of information available to them. 2. Access to relevant information in easy to use reporting interfaces for ad hoc reporting. 3. Assistance with interpreting and drawing conclusions from the information. 4. Access to relevant information in standard reports. 5. An overview of which data is available for analysis. 6. A formal assessment of their information needs. 7. Training on how to use BI tools. (Miller, Bräutigam, & Gerlach, 2006) Common issues regarding BI usage Companies that have started data warehousing projects or have purchased largescale data mining software suites often have very high expectations but also many disappointments related to failure in the way that data is conceived, designed, architected, managed and implemented. The vague understanding of what BI methods and products can do frequently results in a lack of a proper value proposition on behalf to the business sponsor (Loshin, 2003). Also the scope of

13 Business Intelligence Software 13 the project is not always fully understood which causes delays in delivery to the decision maker. Another issue that companies face when using BI is insufficient technical training of the users. This prevents company s developers and analysts from using software products to the full capacity and from doing what the vendors claim they do. Poor understanding of technology infrastructure also leads to disadvantages such as poor planning and scheduling which often leads to lack of trustworthiness in the results due to poor data quality. Some BI software users also lacks a clear statement of success criteria, along with a lack of ways to measure program success and this is inevitably leading to a perception of failure (Loshin, 2003) Market of BI solutions today According to a report from Datamonitor (leading provider of online database and analysis services for key industry sectors) the market for business analysis is increasing tremendously fast. The report shows that the value of the BI market will increase from four billion dollars in 2006 to an estimated eight billion in This means an annual raise is about 12,5%. The battle between small independent BI suppliers is losing attention while the focus is now on the big giants that are constantly buying smaller BI suppliers (Wallström, 2007). According to Gartner, the world s leading information technology research and advisory company, the market of BI solutions is basically shared between three mega-suppliers, Oracle, SAP and Microsoft who together own about 20% of the global market. Fusions between these mega suppliers and smaller ones are occurring constantly.

14 Business Intelligence Software 14 Today s BI tools have a broader area of usage and BI is not only about reports and analytics but also about real time dashboards and scorecards, predictive models, workflows, visualizations and searches. Basically, the market for BI tools consists of two segments, Query, reporting and analysis (QRA) and advanced analytics (Adv. An). (A more detailed explanation of the two segments will follow in the theory chapter). In 2006, as shown in Table 1, the BI tools market grew 11.5% and reached $6.25 billion in worldwide license and maintenance revenue. During that time there was no significant consolidations in the BI tools market (Vesset & McDonough, 2007). A huge number of mergers and acquisitions occurred between larger BI tools vendors and smaller software vendors. Table 1 - Worldwide Business Intelligence Tools Revenue by Segment, Revenue ($M) Share (%) Growth (%) QRA 4, , , Adv. An. 1, , , Total 5, , , (Vesset & McDonough, 2007)

15 Business Intelligence Software 15 In Figure 1 the geographic allotment of the BI tools market is shown. The Americas region has the largest segment of the market, followed by Europe, the Middle East, and Africa (EMEA) and Asia/Pacific. Figure 1 - Worldwide Business Intelligence Tools Revenue Share by Region, 2006 (Vesset & McDonough, 2007) (IDC, June 2007) 1.3 Definitions Business Intelligence Software, -System, -Application program that makes decision making more efficient and easier through different processes like information gathering, analysis, spreading of information and communication within a company. Business Process a complete series of activities in a company or an authority. Dashboard/Scorecard - a dashboard or scorecard is a graphical display that compares performance against predefined goals. A dashboard records actual

16 Business Intelligence Software 16 performance or behavior, like an automobile dashboard, while a scorecard measures that performance against objectives or goals. A dashboard tells how you are doing, a scorecard, how well. (Eckerson, 2005) Embedded Business Intelligence a business analysis that is built into different business programs and that does not exist as separate program. Neural Network an interconnected group of artificial neurons that uses a mathematical or computational model for information processing OLAP On-line Analytical Processing a technique for searching gathered data from databases while they are online. OLAP is used for sales analysis and decision making. OLAP can be used as an alternative to data warehousing and data marts. Portal - a web system that provides the functions and features to authenticate and identify the users and provide them with an easy, intuitive, personalized and usercustomizable web-interface for facilitating access to information and services that are of primary relevance and interests to the users. Real-Time BI - an organization s ability to react to business needs and changing business circumstances within a single day. (White, 2003) TCP/IP - the Internet protocol suite (commonly TCP/IP) is a set of communications protocols on which the Internet and most commercial networks run. SOA - Service Oriented Architecture is a search engine technology and the main integration component in an information system

17 Business Intelligence Software 17 Open Hub services - service used in analytical applications to distribute specific data 1.4 Limitations Due to the time that was provided for writing this thesis (6 weeks), working conditions were a little bit tough. Hence it shall be acknowledged that time was a limit. When contacting respondents for the survey, besides time, money was also a limit. More efficient ways could have been used when collecting respondents if the right amount of money was invested into certain databases on the Internet. In this thesis a model was created as a result of existing theories. The model is called The PET model of BI implementation and consists of nine different foundations divided into three layers. Better research conditions might reveal other interesting facts that can change the appearance of the model, improve it or in worst case scenario completely reject it. Not all questions that were put in the questionnaire were analyzed either. In the creation process of the questionnaire, some questions that could be related to the theory provided in this thesis were not asked. For example in the theory chapter, Real-Time BI system is described. But due to the limitations of time no analysis was made upon this subject.

18 Business Intelligence Software 18 2 Method In this chapter a presentation of how the research for this thesis has been conducted is given. It will give a better understanding of how the theoretical and empirical reasoning has contributed to the purpose. It will also describe the different methods used in this study. 2.1 Choice of methodology The aim of this paper is to present a basis upon which the reader can gain an understanding of how companies in various industries in Sweden relate to BI. Hence the central point of this thesis is to provide an argument for and analysis of what is expected from a complete BI Software Solution. Companies relation to BI Software Solutions will be measured and mean values will be calculated. The results will be presented in cross tables as well as in a model, which is based on the existing theories, to illustrate an overall picture of the companies relation to BI. Flowcharts and diagrams are also used to present the results. Hence a deductive approach, discussed more in the research philosophy part is applied. 2.2 Research philosophy The research problem of this thesis is built on existing theories, what means that the research approach is of a deductive nature. The opposite, an inductive

19 Business Intelligence Software 19 approach is not suitable for this research since the research is based on already existing theories. When working with an observable social reality and when the result of a research can be made to draw law-like generalizations, a research is produced with quantitative and deductive nature with a positivistic approach (Saunders, Lewis, & Thornhill, 2007). It is also likely that the existing theory about BI in this paper will be further developed and tested by further research. According to Saunders et al. (2007) this is also an indication that the research philosophy in this thesis is of a positivistic nature. The thesis aims to observe and study the companies points of view and their relation to BI. For that purpose a questionnaire is applied. A questionnaire is a kind of study that fits with a positivistic research approach and from the questionnaire the quantifiable data can be examined and analyzed. 2.3 Choice of theory Books that were used for this thesis all come from the library of Kristianstad University. Most of the electronic articles were either downloaded from various journals on the Internet or other online databases such as Emerald and The Data Warehouse Institute or from the Kristianstad University s First Class /Course client. There are many high-tech explanations of BI found on the Internet, in various books and in articles but the first thought when collecting information about BI and writing about it, for this thesis, was to build a appropriate and relevant theoretical ground to present an introduction of the subject on a very low technical level so that the readers will easily understand

20 Business Intelligence Software 20 what BI is and how it works. The idea was also to maintain the easy-tounderstand level throughout the thesis. Although in some parts it is essential to use complex terms and idioms necessary for the explanation of a matter.

21 Business Intelligence Software 21 3 Theoretical framework This chapter will provide the reader with information about how BI software functions and how we classify the different BI analytics tools available on the market today and what such applications consist of. In this chapter theories about the organizational structure and the placement of BI inside the organizations will also be discussed. 3.1 BI software classification BI tools are a part of the broader market called business analytics, which is illustrated in Figure 2. The market for BI tools includes both standalone packaged software and embedded BI tools provided by database management software vendors (Vesset & McDonough, 2007). The BI tools market itself is divided into two market segments, Query reporting, analysis and Advanced analytics, and these are the two areas of BI tool applications that this thesis is focusing on. In Figure 2, these areas are the two dash-boarded rectangles End-user query, reporting, and analysis Query, Reporting, Analysis (QRA) software includes ad hoc query and multidimensional analysis tools as well as dashboards, scorecards and production reporting tools. These tools are designed specifically to support ad hoc data access and for report building by either IT or business users and do not include any other applications or tools that may be used for report building what so ever

22 Business Intelligence Software 22 (Vesset & McDonough, 2007). Yet they are justified as multidimensional analysis tools that include both online analytical processing (OLAP) servers and clientside analysis tools that provide a data management environment that is used for modeling business problems and analyzing business data. Packaged data marts are also included in this function. These data marts are preconfigured software used for combining data transformation, management, and access in one single package and are usually presenting the results in various business models (Vesset & McDonough, 2007) Advanced analytics The main occupation of advanced analytics software is data mining and statistics. Technologies that are used are neural networks, rule induction, and clustering, among others, in order to discover relationships in data and then make hidden, not apparent or complex predictions for reporting and multidimensional analysis (Vesset & McDonough, 2007). In this sector there are technical, econometrical and other mathematical operations that provides libraries with statistical algorithms so that the data can be processed and analyzed. Most common functions are frequencies, cross-tabulations and chi square but there can also be some other specialized and sophisticated functions focusing on the functional area such as the industrial design, clinical trial testing, exploratory data analysis, and high-volume and real-time statistical analysis (Vesset & McDonough, 2007).

Customers Expectations and Needs in the Business Intelligence Software Market

Customers Expectations and Needs in the Business Intelligence Software Market 5 Available for free online at https://ojs.hh.se/ Journal of Intelligence Studies in Business 2 (2012) 5-20 Customers Expectations and Needs in the Business Intelligence Software Market Adis Sabanovic

More information

Vendor briefing Business Intelligence and Analytics Platforms Gartner 15 capabilities

Vendor briefing Business Intelligence and Analytics Platforms Gartner 15 capabilities Vendor briefing Business Intelligence and Analytics Platforms Gartner 15 capabilities April, 2013 gaddsoftware.com Table of content 1. Introduction... 3 2. Vendor briefings questions and answers... 3 2.1.

More information

Business Intelligence. A Presentation of the Current Lead Solutions and a Comparative Analysis of the Main Providers

Business Intelligence. A Presentation of the Current Lead Solutions and a Comparative Analysis of the Main Providers 60 Business Intelligence. A Presentation of the Current Lead Solutions and a Comparative Analysis of the Main Providers Business Intelligence. A Presentation of the Current Lead Solutions and a Comparative

More information

IBM Cognos Express Essential BI and planning for midsize companies

IBM Cognos Express Essential BI and planning for midsize companies Data Sheet IBM Cognos Express Essential BI and planning for midsize companies Overview IBM Cognos Express is the first and only integrated business intelligence (BI) and planning solution purposebuilt

More information

IBM Cognos Express. Breakthrough BI and planning for midsize companies. Overview

IBM Cognos Express. Breakthrough BI and planning for midsize companies. Overview IBM Cognos Express Breakthrough BI and planning for midsize companies Overview IBM Cognos Express is the first and only integrated business intelligence (BI) and planning solution purpose-built to meet

More information

Business Analytics and Data Visualization. Decision Support Systems Chattrakul Sombattheera

Business Analytics and Data Visualization. Decision Support Systems Chattrakul Sombattheera Business Analytics and Data Visualization Decision Support Systems Chattrakul Sombattheera Agenda Business Analytics (BA): Overview Online Analytical Processing (OLAP) Reports and Queries Multidimensionality

More information

COMPETITIVE ANALYSIS. Worldwide Business Intelligence Tools 2010 Vendor Shares IDC OPINION. Dan Vesset

COMPETITIVE ANALYSIS. Worldwide Business Intelligence Tools 2010 Vendor Shares IDC OPINION. Dan Vesset COMPETITIVE ANALYSIS Worldwide Business Intelligence Tools 2010 Vendor Shares Dan Vesset IDC OPINION Global Headquarters: 5 Speen Street Framingham, MA 01701 USA P.508.872.8200 F.508.935.4015 www.idc.com

More information

SIGNIFICANCE OF BUSINESS INTELLIGENCE APPLICATIONS FOR BETTER DECISION MAKING & BUSINESS PERFORMANCE

SIGNIFICANCE OF BUSINESS INTELLIGENCE APPLICATIONS FOR BETTER DECISION MAKING & BUSINESS PERFORMANCE SIGNIFICANCE OF BUSINESS INTELLIGENCE APPLICATIONS FOR BETTER DECISION MAKING & BUSINESS PERFORMANCE Dr. Nitin P. Mankar Professor (Director), Jayawantrao Sawant Institute of Management & Research (JSIMR).

More information

Dashboard Reporting Business Intelligence

Dashboard Reporting Business Intelligence Dashboard Reporting Dashboards are One of 5 Styles of BI Applications Increasing Analytics & User Interactivity Advanced Analysis & Ad Hoc OLAP Analysis Reporting Ad Hoc Analysis Predictive Analysis Data

More information

Business Intelligence Solutions for Gaming and Hospitality

Business Intelligence Solutions for Gaming and Hospitality Business Intelligence Solutions for Gaming and Hospitality Prepared by: Mario Perkins Qualex Consulting Services, Inc. Suzanne Fiero SAS Objective Summary 2 Objective Summary The rise in popularity and

More information

OVERVIEW OF THE BUSINESS PERFORMANCE SOLUTIONS

OVERVIEW OF THE BUSINESS PERFORMANCE SOLUTIONS OVERVIEW OF THE BUSINESS PERFORMANCE SOLUTIONS ARKADIUSZ JANUSZEWSKI University of Technology and Life Science in Bydgoszcz Summary The main aim of the present paper is to describe Business Performance

More information

Chapter 4 Getting Started with Business Intelligence

Chapter 4 Getting Started with Business Intelligence Chapter 4 Getting Started with Business Intelligence Learning Objectives and Learning Outcomes Learning Objectives Getting started on Business Intelligence 1. Understanding Business Intelligence 2. The

More information

ElegantJ BI. White Paper. The Enterprise Option Reporting Tools vs. Business Intelligence

ElegantJ BI. White Paper. The Enterprise Option Reporting Tools vs. Business Intelligence ElegantJ BI White Paper The Enterprise Option Integrated Business Intelligence and Reporting for Performance Management, Operational Business Intelligence and Data Management www.elegantjbi.com ELEGANTJ

More information

The difference between. BI and CPM. A white paper prepared by Prophix Software

The difference between. BI and CPM. A white paper prepared by Prophix Software The difference between BI and CPM A white paper prepared by Prophix Software Overview The term Business Intelligence (BI) is often ambiguous. In popular contexts such as mainstream media, it can simply

More information

Innovation. Simplifying BI. On-Demand. Mobility. Quality. Innovative

Innovation. Simplifying BI. On-Demand. Mobility. Quality. Innovative Innovation Simplifying BI On-Demand Mobility Quality Innovative BUSINESS INTELLIGENCE FACTORY Advantages of using our technologies and services: Huge cost saving for BI application development. Any small

More information

Business Intelligence, Analytics & Reporting: Glossary of Terms

Business Intelligence, Analytics & Reporting: Glossary of Terms Business Intelligence, Analytics & Reporting: Glossary of Terms A B C D E F G H I J K L M N O P Q R S T U V W X Y Z Ad-hoc analytics Ad-hoc analytics is the process by which a user can create a new report

More information

DECISION SUPPORT SYSTEMS OR BUSINESS INTELLIGENCE. WHICH IS THE BEST DECISION MAKER?

DECISION SUPPORT SYSTEMS OR BUSINESS INTELLIGENCE. WHICH IS THE BEST DECISION MAKER? DECISION SUPPORT SYSTEMS OR BUSINESS INTELLIGENCE. WHICH IS THE BEST DECISION MAKER? [1] Sachin Kashyap Research Scholar Singhania University Rajasthan (India) [2] Dr. Pardeep Goel, Asso. Professor Dean

More information

Make the right decisions with Distribution Intelligence

Make the right decisions with Distribution Intelligence Make the right decisions with Distribution Intelligence Bengt Jensfelt, Business Product Manager, Distribution Intelligence, April 2010 Introduction It is not so very long ago that most companies made

More information

Making confident decisions with the full spectrum of analysis capabilities

Making confident decisions with the full spectrum of analysis capabilities IBM Software Business Analytics Analysis Making confident decisions with the full spectrum of analysis capabilities Making confident decisions with the full spectrum of analysis capabilities Contents 2

More information

!!!!! White Paper. Understanding The Role of Data Governance To Support A Self-Service Environment. Sponsored by

!!!!! White Paper. Understanding The Role of Data Governance To Support A Self-Service Environment. Sponsored by White Paper Understanding The Role of Data Governance To Support A Self-Service Environment Sponsored by Sponsored by MicroStrategy Incorporated Founded in 1989, MicroStrategy (Nasdaq: MSTR) is a leading

More information

IBM Cognos Performance Management Solutions for Oracle

IBM Cognos Performance Management Solutions for Oracle IBM Cognos Performance Management Solutions for Oracle Gain more value from your Oracle technology investments Highlights Deliver the power of predictive analytics across the organization Address diverse

More information

ProClarity Analytics Family

ProClarity Analytics Family ProClarity Analytics Platform 6 Product Data Sheet Accelerated understanding The ProClarity Analytics family enables organizations to centrally manage, store and deploy best practices and key performance

More information

Understanding the Development and Use of Analytical Business Intelligence Applications

Understanding the Development and Use of Analytical Business Intelligence Applications Understanding the Development and Use of Analytical Business Intelligence Applications By Elliot King, Ph.D Professor of Communication Lattanze Center Loyola University Maryland Table of Contents Introduction...1

More information

Supply chain intelligence: benefits, techniques and future trends

Supply chain intelligence: benefits, techniques and future trends MEB 2010 8 th International Conference on Management, Enterprise and Benchmarking June 4 5, 2010 Budapest, Hungary Supply chain intelligence: benefits, techniques and future trends Zoltán Bátori Óbuda

More information

ORACLE BUSINESS INTELLIGENCE SUITE ENTERPRISE EDITION PLUS

ORACLE BUSINESS INTELLIGENCE SUITE ENTERPRISE EDITION PLUS ORACLE BUSINESS INTELLIGENCE SUITE ENTERPRISE EDITION PLUS PRODUCT FACTS & FEATURES KEY FEATURES Comprehensive, best-of-breed capabilities 100 percent thin client interface Intelligence across multiple

More information

ORACLE BUSINESS INTELLIGENCE SUITE ENTERPRISE EDITION PLUS

ORACLE BUSINESS INTELLIGENCE SUITE ENTERPRISE EDITION PLUS Oracle Fusion editions of Oracle's Hyperion performance management products are currently available only on Microsoft Windows server platforms. The following is intended to outline our general product

More information

Cincom Business Intelligence Solutions

Cincom Business Intelligence Solutions CincomBI Cincom Business Intelligence Solutions Business Users Overview Find the perfect answers to your strategic business questions. SIMPLIFICATION THROUGH INNOVATION Introduction Being able to make

More information

The Power of Business Intelligence in the Revenue Cycle

The Power of Business Intelligence in the Revenue Cycle The Power of Business Intelligence in the Revenue Cycle Increasing Cash Flow with Actionable Information John Garcia August 4, 2011 Table of Contents Revenue Cycle Challenges... 3 The Goal of Business

More information

CONCEPTUALIZING BUSINESS INTELLIGENCE ARCHITECTURE MOHAMMAD SHARIAT, Florida A&M University ROSCOE HIGHTOWER, JR., Florida A&M University

CONCEPTUALIZING BUSINESS INTELLIGENCE ARCHITECTURE MOHAMMAD SHARIAT, Florida A&M University ROSCOE HIGHTOWER, JR., Florida A&M University CONCEPTUALIZING BUSINESS INTELLIGENCE ARCHITECTURE MOHAMMAD SHARIAT, Florida A&M University ROSCOE HIGHTOWER, JR., Florida A&M University Given today s business environment, at times a corporate executive

More information

Turning Big Data into Big Insights

Turning Big Data into Big Insights mwd a d v i s o r s Turning Big Data into Big Insights Helena Schwenk A special report prepared for Actuate May 2013 This report is the fourth in a series and focuses principally on explaining what s needed

More information

An Enterprise Framework for Business Intelligence

An Enterprise Framework for Business Intelligence An Enterprise Framework for Business Intelligence Colin White BI Research May 2009 Sponsored by Oracle Corporation TABLE OF CONTENTS AN ENTERPRISE FRAMEWORK FOR BUSINESS INTELLIGENCE 1 THE BI PROCESSING

More information

W H I T E P A P E R B u s i n e s s I n t e l l i g e n c e S o lutions from the Microsoft and Teradata Partnership

W H I T E P A P E R B u s i n e s s I n t e l l i g e n c e S o lutions from the Microsoft and Teradata Partnership W H I T E P A P E R B u s i n e s s I n t e l l i g e n c e S o lutions from the Microsoft and Teradata Partnership Sponsored by: Microsoft and Teradata Dan Vesset October 2008 Brian McDonough Global Headquarters:

More information

Turnkey Hardware, Software and Cash Flow / Operational Analytics Framework

Turnkey Hardware, Software and Cash Flow / Operational Analytics Framework Turnkey Hardware, Software and Cash Flow / Operational Analytics Framework With relevant, up to date cash flow and operations optimization reporting at your fingertips, you re positioned to take advantage

More information

Comparative Analysis of the Main Business Intelligence Solutions

Comparative Analysis of the Main Business Intelligence Solutions 148 Informatica Economică vol. 17, no. 2/2013 Comparative Analysis of the Main Business Intelligence Solutions Alexandra RUSANEANU Faculty of Cybernetics, Statistics and Economic Informatics Bucharest

More information

Picturing Performance: IBM Cognos dashboards and scorecards for retail

Picturing Performance: IBM Cognos dashboards and scorecards for retail IBM Software Group White Paper Retail Picturing Performance: IBM Cognos dashboards and scorecards for retail 2 Picturing Performance: IBM Cognos dashboards and scorecards for retail Abstract More and more,

More information

A business intelligence agenda for midsize organizations: Six strategies for success

A business intelligence agenda for midsize organizations: Six strategies for success IBM Software Business Analytics IBM Cognos Business Intelligence A business intelligence agenda for midsize organizations: Six strategies for success A business intelligence agenda for midsize organizations:

More information

Introduction to Business Intelligence

Introduction to Business Intelligence Introduction to Business Intelligence Urban Ask Centrum för Affärssystem Gruppen för Ekonomistyrning Agenda I t t i BI Interest in BI Definitions Drivers Vendors and market Some predictions 1 Increasing

More information

QlikView Business Discovery Platform. Algol Consulting Srl

QlikView Business Discovery Platform. Algol Consulting Srl QlikView Business Discovery Platform Algol Consulting Srl Business Discovery Applications Application vs. Platform Application Designed to help people perform an activity Platform Provides infrastructure

More information

Sage ERP I White Paper. Driving SMB Efficiency With Business Intelligence

Sage ERP I White Paper. Driving SMB Efficiency With Business Intelligence I White Paper Table of Contents Executive Summary.. 3 Improving Operational Efficiency With BI Is A High Priority.. 3 Why BI Is Important.. 3 BI Incorporates Multiple Applications.. 4 Data Consolidation

More information

idashboards FOR SOLUTION PROVIDERS

idashboards FOR SOLUTION PROVIDERS idashboards FOR SOLUTION PROVIDERS The idashboards team was very flexible, investing considerable time working with our technical staff to come up with the perfect solution for us. Scott W. Ream, President,

More information

IBM Cognos TM1 Enterprise Planning, Budgeting and Analytics

IBM Cognos TM1 Enterprise Planning, Budgeting and Analytics Data Sheet IBM Cognos TM1 Enterprise Planning, Budgeting and Analytics Overview Highlights Reduces planning cycles by 75% and reporting from days to minutes Owned and managed by Finance and lines of business

More information

Enterprise Solutions. Data Warehouse & Business Intelligence Chapter-8

Enterprise Solutions. Data Warehouse & Business Intelligence Chapter-8 Enterprise Solutions Data Warehouse & Business Intelligence Chapter-8 Learning Objectives Concepts of Data Warehouse Business Intelligence, Analytics & Big Data Tools for DWH & BI Concepts of Data Warehouse

More information

SAP Thought Leadership Business Intelligence IMPLEMENTING BUSINESS INTELLIGENCE STANDARDS SAVE MONEY AND IMPROVE BUSINESS INSIGHT

SAP Thought Leadership Business Intelligence IMPLEMENTING BUSINESS INTELLIGENCE STANDARDS SAVE MONEY AND IMPROVE BUSINESS INSIGHT SAP Thought Leadership Business Intelligence IMPLEMENTING BUSINESS INTELLIGENCE STANDARDS SAVE MONEY AND IMPROVE BUSINESS INSIGHT Your business intelligence strategy should take into account all sources

More information

ElegantJ BI. White Paper. Key Performance Indicators (KPI) A Critical Component of Enterprise Business Intelligence (BI)

ElegantJ BI. White Paper. Key Performance Indicators (KPI) A Critical Component of Enterprise Business Intelligence (BI) ElegantJ BI White Paper Key Performance Indicators (KPI) A Critical Component of Enterprise Business Intelligence (BI) Integrated Business Intelligence and Reporting for Performance Management, Operational

More information

It s about you What is performance analysis/business intelligence analytics? What is the role of the Performance Analyst?

It s about you What is performance analysis/business intelligence analytics? What is the role of the Performance Analyst? Performance Analyst It s about you Are you able to manipulate large volumes of data and identify the most critical information for decision making? Can you derive future trends from past performance? If

More information

Application of Business Intelligence in Transportation for a Transportation Service Provider

Application of Business Intelligence in Transportation for a Transportation Service Provider Application of Business Intelligence in Transportation for a Transportation Service Provider Mohamed Sheriff Business Analyst Satyam Computer Services Ltd Email: mohameda_sheriff@satyam.com, mail2sheriff@sify.com

More information

Decision Support and Business Intelligence Systems. Chapter 1: Decision Support Systems and Business Intelligence

Decision Support and Business Intelligence Systems. Chapter 1: Decision Support Systems and Business Intelligence Decision Support and Business Intelligence Systems Chapter 1: Decision Support Systems and Business Intelligence Types of DSS Two major types: Model-oriented DSS Data-oriented DSS Evolution of DSS into

More information

IBM Cognos TM1. Enterprise planning, budgeting and analysis. Highlights. IBM Software Data Sheet

IBM Cognos TM1. Enterprise planning, budgeting and analysis. Highlights. IBM Software Data Sheet IBM Software IBM Cognos TM1 Enterprise planning, budgeting and analysis Highlights Reduces planning cycles by as much as 75% and reporting from days to minutes Owned and managed by Finance and lines of

More information

SAP BusinessObjects Edge BI, Standard Package Preferred Business Intelligence Choice for Growing Companies

SAP BusinessObjects Edge BI, Standard Package Preferred Business Intelligence Choice for Growing Companies SAP Solutions for Small Businesses and Midsize Companies SAP BusinessObjects Edge BI, Standard Package Preferred Business Intelligence Choice for Growing Companies SAP BusinessObjects Edge BI, Standard

More information

Business Intelligence & IT Governance

Business Intelligence & IT Governance Business Intelligence & IT Governance The current trend and its implication on modern businesses Jovany Chaidez 12/3/2008 Prepared for: Professor Michael J. Shaw BA458 IT Governance Fall 2008 The purpose

More information

Introduction to Business Intelligence

Introduction to Business Intelligence IBM Software Group Introduction to Business Intelligence Vince Leat ASEAN SW Group 2007 IBM Corporation Discussion IBM Software Group What is Business Intelligence BI Vision Evolution Business Intelligence

More information

BusinessObjects XI. New for users of BusinessObjects 6.x New for users of Crystal v10

BusinessObjects XI. New for users of BusinessObjects 6.x New for users of Crystal v10 BusinessObjects XI Delivering extreme Insight Bringing information to new users, in new ways, with unmatched simplicity and context. Broadest and deepest end user capabilities from reporting, to query

More information

ORACLE BUSINESS INTELLIGENCE, ORACLE DATABASE, AND EXADATA INTEGRATION

ORACLE BUSINESS INTELLIGENCE, ORACLE DATABASE, AND EXADATA INTEGRATION ORACLE BUSINESS INTELLIGENCE, ORACLE DATABASE, AND EXADATA INTEGRATION EXECUTIVE SUMMARY Oracle business intelligence solutions are complete, open, and integrated. Key components of Oracle business intelligence

More information

Reporting and Business Intelligence Tools. Prasad Veeramachaneni DBMS Consulting 10 October 2010 Tutorial Session Session T09

Reporting and Business Intelligence Tools. Prasad Veeramachaneni DBMS Consulting 10 October 2010 Tutorial Session Session T09 Reporting and Business Intelligence Tools Prasad Veeramachaneni DBMS Consulting 10 October 2010 Tutorial Session Session T09 Acknowledgements Many thanks to the OHSUG for this opportunity to present to

More information

IBM Cognos 8 Controller Financial consolidation, reporting and analytics drive performance and compliance

IBM Cognos 8 Controller Financial consolidation, reporting and analytics drive performance and compliance Data Sheet IBM Cognos 8 Controller Financial consolidation, reporting and analytics drive performance and compliance Overview Highlights: Provides all financial and management consolidation capabilities

More information

Microsoft Visio 2010 Business Intelligence

Microsoft Visio 2010 Business Intelligence Microsoft Visio 2010 Business Intelligence St. Louis SharePoint User Group Candy Parisi Microsoft Visio Solution Specialist April 10, 2012 Agenda Microsoft Business Intelligence Overview Visio Business

More information

Winning with an Intuitive Business Intelligence Solution for Midsize Companies

Winning with an Intuitive Business Intelligence Solution for Midsize Companies SAP Product Brief SAP s for Small Businesses and Midsize Companies SAP BusinessObjects Business Intelligence, Edge Edition Objectives Winning with an Intuitive Business Intelligence for Midsize Companies

More information

BI SURVEY. Tableau in The BI Survey THE. This document is a specially produced summary by BARC of the headline results for Tableau

BI SURVEY. Tableau in The BI Survey THE. This document is a specially produced summary by BARC of the headline results for Tableau THE 1 BI SURVEY 13 The Customer Verdict The world s largest survey of business intelligence software users This document is a specially produced summary by BARC of the headline results for Tableau Tableau

More information

DATA MINING TECHNOLOGY. Keywords: data mining, data warehouse, knowledge discovery, OLAP, OLAM.

DATA MINING TECHNOLOGY. Keywords: data mining, data warehouse, knowledge discovery, OLAP, OLAM. DATA MINING TECHNOLOGY Georgiana Marin 1 Abstract In terms of data processing, classical statistical models are restrictive; it requires hypotheses, the knowledge and experience of specialists, equations,

More information

HROUG. The future of Business Intelligence & Enterprise Performance Management. Rovinj October 18, 2007

HROUG. The future of Business Intelligence & Enterprise Performance Management. Rovinj October 18, 2007 HROUG Rovinj October 18, 2007 The future of Business Intelligence & Enterprise Performance Management Alexander Meixner Sales Executive, BI/EPM, South East Europe Oracle s Product

More information

Analytics 2014. Industry Trends Survey. Research conducted and written by:

Analytics 2014. Industry Trends Survey. Research conducted and written by: Analytics 2014 Industry Trends Survey Research conducted and written by: Lavastorm Analytics, the agile data management and analytics company trusted by enterprises seeking an analytic advantage. June

More information

Microsoft Business Intelligence

Microsoft Business Intelligence Microsoft Business Intelligence P L A T F O R M O V E R V I E W M A R C H 1 8 TH, 2 0 0 9 C H U C K R U S S E L L S E N I O R P A R T N E R C O L L E C T I V E I N T E L L I G E N C E I N C. C R U S S

More information

BI4Dynamics provides rich business intelligence capabilities to companies of all sizes and industries. From the first day on you can analyse your

BI4Dynamics provides rich business intelligence capabilities to companies of all sizes and industries. From the first day on you can analyse your BI4Dynamics provides rich business intelligence capabilities to companies of all sizes and industries. From the first day on you can analyse your data quickly, accurately and make informed decisions. Spending

More information

PRONTO-Xi Business Intelligence

PRONTO-Xi Business Intelligence Business Intelligence Copyright 2011 Pronto Software Pty Ltd. All rights reserved. PRONTO Xi Business Intelligence Overview Trademarks - PRONTO, PRONTO ENTERPRISE MANAGEMENT SYSTEM, PRONTO SOFTWARE (Logo)

More information

Advanced Analytics. The Way Forward for Businesses. Dr. Sujatha R Upadhyaya

Advanced Analytics. The Way Forward for Businesses. Dr. Sujatha R Upadhyaya Advanced Analytics The Way Forward for Businesses Dr. Sujatha R Upadhyaya Nov 2009 Advanced Analytics Adding Value to Every Business In this tough and competitive market, businesses are fighting to gain

More information

Better Business Analytics with Powerful Business Intelligence Tools

Better Business Analytics with Powerful Business Intelligence Tools Better Business Analytics with Powerful Business Intelligence Tools Business Intelligence Defined There are many interpretations of what BI (Business Intelligence) really is and the benefits that it can

More information

[callout: no organization can afford to deny itself the power of business intelligence ]

[callout: no organization can afford to deny itself the power of business intelligence ] Publication: Telephony Author: Douglas Hackney Headline: Applied Business Intelligence [callout: no organization can afford to deny itself the power of business intelligence ] [begin copy] 1 Business Intelligence

More information

Web Data Mining: A Case Study. Abstract. Introduction

Web Data Mining: A Case Study. Abstract. Introduction Web Data Mining: A Case Study Samia Jones Galveston College, Galveston, TX 77550 Omprakash K. Gupta Prairie View A&M, Prairie View, TX 77446 okgupta@pvamu.edu Abstract With an enormous amount of data stored

More information

Cis330. Mostafa Z. Ali

Cis330. Mostafa Z. Ali Fall 2009 Lecture 1 Cis330 Decision Support Systems and Business Intelligence Mostafa Z. Ali mzali@just.edu.jo Lecture 2: Slide 1 Changing Business Environments and Computerized Decision Support The business

More information

Business Intelligence Solutions. Cognos BI 8. by Adis Terzić

Business Intelligence Solutions. Cognos BI 8. by Adis Terzić Business Intelligence Solutions Cognos BI 8 by Adis Terzić Fairfax, Virginia August, 2008 Table of Content Table of Content... 2 Introduction... 3 Cognos BI 8 Solutions... 3 Cognos 8 Components... 3 Cognos

More information

W o r l d w i d e B u s i n e s s A n a l y t i c s S o f t w a r e 2 0 1 3 2 0 1 7 F o r e c a s t a n d 2 0 1 2 V e n d o r S h a r e s

W o r l d w i d e B u s i n e s s A n a l y t i c s S o f t w a r e 2 0 1 3 2 0 1 7 F o r e c a s t a n d 2 0 1 2 V e n d o r S h a r e s Global Headquarters: 5 Speen Street Framingham, MA 01701 USA P.508.872.8200 F.508.935.4015 www.idc.com M A R K E T A N A L Y S I S W o r l d w i d e B u s i n e s s A n a l y t i c s S o f t w a r e 2

More information

BI Platforms User Survey, 2011: Customers Rate Their BI Platform Vendors

BI Platforms User Survey, 2011: Customers Rate Their BI Platform Vendors BI Platforms User Survey, 2011: Customers Rate Their BI Platform Vendors Gartner RAS Core Research Note G00211769, Rita L. Sallam, 4 April 2011, RA1 07132011 Gartner recently surveyed business intelligence

More information

Business Intelligence: The European Perspective

Business Intelligence: The European Perspective Markets, F. Buytendijk Research Note 5 November 2002 Business Intelligence: The European Perspective When choosing business intelligence products, European users are not that different from North American

More information

BUSINESS INTELLIGENCE. Keywords: business intelligence, architecture, concepts, dashboards, ETL, data mining

BUSINESS INTELLIGENCE. Keywords: business intelligence, architecture, concepts, dashboards, ETL, data mining BUSINESS INTELLIGENCE Bogdan Mohor Dumitrita 1 Abstract A Business Intelligence (BI)-driven approach can be very effective in implementing business transformation programs within an enterprise framework.

More information

Think bigger about business intelligence create an informed healthcare organization.

Think bigger about business intelligence create an informed healthcare organization. KNOWLEDGE DRIVEN HEALTH Think bigger about business intelligence create an informed healthcare organization. Help every healthcare professional contribute to better decision making. Help everyone in your

More information

Anna Zhygalova. Managerial Aspects of Business Intelligence Implementation

Anna Zhygalova. Managerial Aspects of Business Intelligence Implementation Anna Zhygalova Managerial Aspects of Business Intelligence Implementation Helsinki Metropolia University of Applied Sciences Bachelor of Business Administration International Business and Logistics Bachelor

More information

The IBM Cognos Platform

The IBM Cognos Platform The IBM Cognos Platform Deliver complete, consistent, timely information to all your users, with cost-effective scale Highlights Reach all your information reliably and quickly Deliver a complete, consistent

More information

BUSINESS INTELLIGENCE

BUSINESS INTELLIGENCE BUSINESS INTELLIGENCE Microsoft Dynamics NAV BUSINESS INTELLIGENCE Driving better business performance for companies with changing needs White Paper Date: January 2007 www.microsoft.com/dynamics/nav Table

More information

ElegantJ BI. White Paper. Operational Business Intelligence (BI)

ElegantJ BI. White Paper. Operational Business Intelligence (BI) ElegantJ BI Simple. Smart. Strategic. ElegantJ BI White Paper Operational Business Intelligence (BI) Integrated Business Intelligence and Reporting for Performance Management, Operational Business Intelligence

More information

PROPHIX and Corporate Performance Management. A white paper prepared by PROPHIX Software June 2010

PROPHIX and Corporate Performance Management. A white paper prepared by PROPHIX Software June 2010 A white paper prepared by PROPHIX Software June 2010 Overview PROPHIX develops software that manages financial processes and is part of the Corporate Performance Management (CPM) category. This white paper

More information

A Knowledge Management Framework Using Business Intelligence Solutions

A Knowledge Management Framework Using Business Intelligence Solutions www.ijcsi.org 102 A Knowledge Management Framework Using Business Intelligence Solutions Marwa Gadu 1 and Prof. Dr. Nashaat El-Khameesy 2 1 Computer and Information Systems Department, Sadat Academy For

More information

Business Intelligence In SAP Environments

Business Intelligence In SAP Environments Business Intelligence In SAP Environments BARC Business Application Research Center 1 OUTLINE 1 Executive Summary... 3 2 Current developments with SAP customers... 3 2.1 SAP BI program evolution... 3 2.2

More information

White Paper February 2009. IBM Cognos Supply Chain Analytics

White Paper February 2009. IBM Cognos Supply Chain Analytics White Paper February 2009 IBM Cognos Supply Chain Analytics 2 Contents 5 Business problems Perform cross-functional analysis of key supply chain processes 5 Business drivers Supplier Relationship Management

More information

Analytics For Everyone - Even You

Analytics For Everyone - Even You White Paper Analytics For Everyone - Even You Abstract Analytics have matured considerably in recent years, to the point that business intelligence tools are now widely accessible outside the boardroom

More information

Data warehouse and Business Intelligence Collateral

Data warehouse and Business Intelligence Collateral Data warehouse and Business Intelligence Collateral Page 1 of 12 DATA WAREHOUSE AND BUSINESS INTELLIGENCE COLLATERAL Brains for the corporate brawn: In the current scenario of the business world, the competition

More information

Class 2. Learning Objectives

Class 2. Learning Objectives Class 2 BUSINESS INTELLIGENCE Learning Objectives Describe the business intelligence (BI) methodology and concepts and relate them to DSS Understand the major issues in implementing computerized support

More information

Dashboards PRESENTED BY: Quaid Saifee Director, WIT Inc.

Dashboards PRESENTED BY: Quaid Saifee Director, WIT Inc. Dashboards PRESENTED BY: Quaid Saifee Director, WIT Inc. Presentation Outline 1. EPM (Enterprise Performance Management) Balanced Scorecard Dashboards 2. Dashboarding Process (Best Practices) 3. Case Studies

More information

Fluency With Information Technology CSE100/IMT100

Fluency With Information Technology CSE100/IMT100 Fluency With Information Technology CSE100/IMT100 ),7 Larry Snyder & Mel Oyler, Instructors Ariel Kemp, Isaac Kunen, Gerome Miklau & Sean Squires, Teaching Assistants University of Washington, Autumn 1999

More information

SAP BusinessObjects Edge BI, Preferred Business Intelligence. SAP Solutions for Small Business and Midsize Companies

SAP BusinessObjects Edge BI, Preferred Business Intelligence. SAP Solutions for Small Business and Midsize Companies SAP BusinessObjects Edge BI, Standard Package Preferred Business Intelligence Choice for Growing Companies SAP Solutions for Small Business and Midsize Companies Executive Summary Business Intelligence

More information

SAP BusinessObjects SOLUTIONS FOR ORACLE ENVIRONMENTS

SAP BusinessObjects SOLUTIONS FOR ORACLE ENVIRONMENTS SAP BusinessObjects SOLUTIONS FOR ORACLE ENVIRONMENTS BUSINESS INTELLIGENCE FOR ORACLE APPLICATIONS AND TECHNOLOGY SAP Solution Brief SAP BusinessObjects Business Intelligence Solutions 1 SAP BUSINESSOBJECTS

More information

The Adoption and Use of Front-End Business Intelligence Tools Elliot King, Research Analyst

The Adoption and Use of Front-End Business Intelligence Tools Elliot King, Research Analyst The Adoption and Use of Front-End Business Intelligence Tools Elliot King, Research Analyst March 2007 Sponsored by Produced by 2 TABLE OF CONTENTS SUMMARY AND BACKGROUND.....................................................................................

More information

Implementing Business Intelligence at Indiana University Using Microsoft BI Tools

Implementing Business Intelligence at Indiana University Using Microsoft BI Tools HEUG Alliance 2013 Implementing Business Intelligence at Indiana University Using Microsoft BI Tools Session 31537 Presenters: Richard Shepherd BI Initiative Co-Lead Cory Retherford Lead Business Intelligence

More information

With business intelligence, we create a learning organization that adapts quickly to market changes and stays one step ahead of the competition.

With business intelligence, we create a learning organization that adapts quickly to market changes and stays one step ahead of the competition. With business intelligence, we create a learning organization that adapts quickly to market changes and stays one step ahead of the competition. Wayne W. Eckerson TDWI New to Business Intelligence? What

More information

CHAPTER - 5 CONCLUSIONS / IMP. FINDINGS

CHAPTER - 5 CONCLUSIONS / IMP. FINDINGS CHAPTER - 5 CONCLUSIONS / IMP. FINDINGS In today's scenario data warehouse plays a crucial role in order to perform important operations. Different indexing techniques has been used and analyzed using

More information

ABSS Solutions, Inc. Upper Marlboro, MD 20772

ABSS Solutions, Inc. Upper Marlboro, MD 20772 ABSS Solutions, Inc. Upper Marlboro, MD 20772 1. 1 Using Business Information LogiXML Implementation Process LogiXML Licensing Structure LogiXML Implementations LogiXML Corporate Overview ASI Implementation

More information

University of Gaziantep, Department of Business Administration

University of Gaziantep, Department of Business Administration University of Gaziantep, Department of Business Administration The extensive use of information technology enables organizations to collect huge amounts of data about almost every aspect of their businesses.

More information

Hexaware E-book on Predictive Analytics

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,

More information

Applied Business Intelligence. Iakovos Motakis, Ph.D. Director, DW & Decision Support Systems Intrasoft SA

Applied Business Intelligence. Iakovos Motakis, Ph.D. Director, DW & Decision Support Systems Intrasoft SA Applied Business Intelligence Iakovos Motakis, Ph.D. Director, DW & Decision Support Systems Intrasoft SA Agenda Business Drivers and Perspectives Technology & Analytical Applications Trends Challenges

More information

PROVIDING INSIGHT FOR OPERATIONAL SUCCESS

PROVIDING INSIGHT FOR OPERATIONAL SUCCESS idashboards for Operations Management PROVIDING INSIGHT FOR OPERATIONAL SUCCESS idashboards helped Precoat move from manual data mining and paper reports to a system that allows us to identify best practices

More information