An Enterprise Framework for Business Intelligence

Size: px
Start display at page:

Download "An Enterprise Framework for Business Intelligence"

Transcription

1 An Enterprise Framework for Business Intelligence Colin White BI Research May 2009 Sponsored by Oracle Corporation

2 TABLE OF CONTENTS AN ENTERPRISE FRAMEWORK FOR BUSINESS INTELLIGENCE 1 THE BI PROCESSING NEEDS OF THE BUSINESS 1 TYPES OF INFORMATION WORKERS 3 BI TECHNOLOGY REQUIREMENTS 4 PUTTING THE PIECES TOGETHER: AN ENTERPRISE BI FRAMEWORK 7 AN EVOLUTIONARY APPROACH TO DEPLOYING A BI SYSTEM 8 Brand and product names mentioned in this paper may be the trademarks or registered trademarks of their respective owners. Copyright 2009 BI Research, All Rights Reserved.

3 AN ENTERPRISE FRAMEWORK FOR BUSINESS INTELLIGENCE The business intelligence (BI) and data warehousing industry is changing rapidly as organizations strive to exploit business intelligence to improve business performance, while also at the same time trying to manage increasing data volumes and the need to provide business users with faster and easier access to information. Organizations need to build BI systems that can handle technology and product changes To support constantly changing BI technologies and information needs, organizations need to design a flexible enterprise BI framework that incorporates the different kinds of BI processing, information workers and BI technologies that organizations must support if they are to fully realize the business benefits that business intelligence offers. This paper presents a BI framework that can be used to develop and deploy a new BI system, or to enhance an existing one. This flexible and adaptable framework enables BI applications and the underlying data warehousing environment to evolve and adapt to the constantly changing technology and product landscape. The paper includes the results of a survey that asked BeyeNETWORK site visitors about the different approaches and technologies their organizations use to plan, build and grow their BI systems to exploit the business value business intelligence and data warehousing offers. There were 217 responses to this survey. THE BI PROCESSING NEEDS OF THE BUSINESS Three key elements need to be considered when designing and developing a BI system: BI processing needs, the information worker audience and the technologies that need to be provided. This first section discusses the BI processing needs of organizations. There are three main modes of BI processing: strategic BI, tactical BI and operational BI. One of the key distinguishing features between these three processing modes is the time period over which each of them analyzes and reports on information. This time period can best be explained in terms of the workflow shown in Figure 1, which illustrates how business intelligence aids decision making. Closed-loop processing enables business users to see the effects of business decisions In Figure 1, data flows from operational applications that run day-to-day business processes to BI applications that monitor and analyze the data to provide insight about the actual business performance of those processes. Business users then employ collaborative applications to share and evaluate the results produced by the BI applications. This evaluation may result in users making changes to a business process (e.g., a modified marketing campaign) or a business plan (e.g., an updated sales forecast). The positive or negative effects of those changes can then be measured by the BI applications to create a closed-loop decision workflow. Copyright 2009 BI Research, All Rights Reserved. 1

4 Figure 1: Closed-loop decision workflow BI agility can vary from near real time to weeks and months depending on business need The speed at which business users need to do this closed-loop processing determines over what period of time data is analyzed and how responsive the BI environment needs to be. This speed can be expressed in terms of the elapsed or action time between a business event occurring that requires action and the user taking that action. In the case of fraud detection, for example, the required action time maybe a matter of seconds, whereas in a marketing campaign, the action time could be a few hours, days or weeks. Figure 2 outlines the action times supported by the three modes of BI processing. Other variables, such as the types of users supported and the types of data required, are also shown in the figure. Figure 2 is intended to illustrate general differences, rather than absolute boundaries, between the three modes of processing. Strategic and tactical BI processing represent the types of solutions that organizations have been developing for many years. In this environment, data flowing from operational processes is captured into a data warehouse for use by BI analytical applications. Users run these analytical applications at periodic intervals to collect data analytics for the specific data points or key performance indicators (KPIs) they are interested in sales in a particular region, for a specific product, during a specific time period would be an example. One industry trend here is to supplement these data analytics with content analytics created by analyzing unstructured data. Operational BI is the fastest growing BI segment Operational BI processing focuses on the performance of a specific operational business process, rather than on business unit or enterprise-wide KPI data points. Operational BI is one of the fastest growing areas of business intelligence. As action time requirements approach near real time, operational BI processing becomes driven by business events occurring in operational systems, rather than by users requesting information at periodic intervals. Examples of events that may trigger operational BI processing include credit card transactions (to detect potential fraud) and customer calls to a call center (to monitor call center call backlog and response times). Copyright 2009 BI Research, All Rights Reserved. 2

5 To process business events and support so-called event analytics, the BI environment must either enable the loading of low-latency event data into a data warehouse or the embedding of BI processing into the operational processes that handle events. Figure 2: The three modes of BI processing Strategic BI Tactical BI Operational BI Action time Weeks to months Days to weeks Intra-day to daily Types of users Executives & business analysts Business analysts & line-of-business managers Line-of-business managers & operational users Focus of analysis Type of data Enterprise Line of business Business process Historical Historical Real time, low latency, historical Mode of operation User driven Data centric User driven Data centric User & event driven Process centric Business objective Achieve long-term business goals Manage tactical initiatives Manage business processes TYPES OF INFORMATION WORKERS Two main types of information worker consumers and producers Business intelligence specialists, analysts and vendors often use the term information worker to describe a business user that makes use of the information produced by BI applications. There are two main types of information worker: information consumers and information producers. Information consumers range from senior and middle managers to call center staff. A common characteristic of these information workers is that they do not use corporate data and IT information-handling tools throughout their working day. These types of users represent the bulk of the information workers in an organization. Information consumers are a large user audience who need easy to use tools Information consumers need to discover information that enables them to do their jobs more efficiently and make more informed business decisions. Information discovery involves locating and retrieving information of interest, and then filtering and organizing it so that it is easy to navigate and explore. Some information consumers, such as business managers, may do some limited analysis of the discovered information, while others, such as call-center staff, just use the information as is. Information producers create the information used by information consumers. In addition to using information creation and discovery tools, information producers also use analysis techniques to enhance, aggregate and report on information. Copyright 2009 BI Research, All Rights Reserved. 3

6 Information producers are more knowledgeable about the BI technologies and corporate data Information analysis extends information discovery by enabling information producers to apply their knowledge and expertise to discovered information and enhance its value by putting it into a business context. Enhancing information in this way makes it easier and faster to use by information consumers in their jobs. Information consumers may do additional analysis of the information, but this is likely to be limited in scope. Examples of information producers include BI specialists, and data and business analysts. An important consideration is that there are different types of information consumer. The skills and requirements of a call center representative are different from those of a senior manager (a VP of Sales, for example). The former is a pure information consumer, whereas the latter may also have some information producer skills. It is important therefore to map job roles to both skill and technology requirements. Information needs to be made easier to consume As organizations deploy business intelligence to a wider audience of information consumer they will need to focus on making the BI system easier to use, and the information produced easier to consume by putting it into a business context. BI TECHNOLOGY REQUIREMENTS Figure 3: Main components of a decision workflow The next task in the design of a BI system concerns the BI technologies that it needs to provide. These technologies can be categorized according to how they support each of the activities of the decision workflow shown in Figure 3. This figure is a more detailed version of the workflow of Figure 1. The six main activities of a decision workflow are: Discover the operational data and other business content that can aid business decision making. Access the operational data and business content required to make business decisions. Integrate the retrieved operational data and business content into a shared data store, such as a data warehouse, as required. Copyright 2009 BI Research, All Rights Reserved. 4

7 Analyze operational data, business content and data warehouse information to produce analytics, alerts and recommendations that aid decision making. Deliver the results of analytical processing to business users and applications. Share the results with other users and collaborate to determine what actions need to be taken to resolve any business issues identified by the results. A wide range of technologies supports these six activities. These technologies can be broken down into two broad groups (see Figures 4a and 4b): data management technologies (discover, access and integrate activities) and BI application processing technologies (analyze, deliver and share and collaborate activities). Figure 4a: Data management technology requirements Activity Discover Access Integrate Technology Faceted data search Business glossary Data analysis & modeling Data profiling EII data federation Data quality management & services ETL data consolidation Changed data capture & propagation Data replication Metadata management & reporting Figure 4b: BI application processing technology requirements Activity Analysis Deliver Share & collaborate Technology Production reporting Ad hoc analysis Advanced analytics (statistics, time series, etc.) Data & text mining Predictive modeling Performance management scorecards Operational BI (alerts, event analytics, embedded BI services, etc.) Content analytics Metadata management & reporting Dashboards Portal integration Web interface & rich Internet application features Advanced visualization Office product integration Mobile computing support Collaborative & social computing integration Copyright 2009 BI Research, All Rights Reserved. 5

8 Figure 5a: Percentage of survey respondents rating a data management technology as very important or somewhat important Figure 5b: Percentage of survey respondents rating a BI application processing technology as very important or somewhat important Source: BeyeNETWORK Source: BeyeNETWORK The BeyeNETWORK survey asked respondents about the importance of the technologies listed in Figure 4 to their organizations. The results are shown in Figures 5a and 5b. Figure 5a shows the results for data management technologies and Figure 5b the results for BI application processing technologies. 54% of survey respondents need to support data warehouses in excess of 10 terabytes of data The results for the data management part of the survey show the interest and importance of data quality management technology. Respondents to this part of the survey were also asked about the types of data they needed to integrate into a data warehouse. Some 51% needed to integrate unstructured data, 59% application package data, and 69% application event and web data. The respondents were also asked about the amount of data their data warehouse environments needed to support. Some 54% of respondents indicated a size in excess of 10 terabytes of data. Copyright 2009 BI Research, All Rights Reserved. 6

9 The results for the BI application processing part of the survey indicate the drive by organizations toward making BI technology more usable. Scores for web-based interfaces, executive dashboards and office product integration demonstrate this trend. As discussed earlier, the results show operational BI to be a key industry direction. 78% of respondents require ease of use features for less experienced users Survey respondents were also asked about several other BI application processing requirements. Items that received high scores here were spreadsheets (73% of respondents), ease of use for less experienced users (78%) and low-cost licensing for a large number of users (79%). PUTTING THE PIECES TOGETHER: AN ENTERPRISE BI FRAMEWORK Figure 6: An enterprise BI framework Now that we reviewed the three modes of BI processing (strategic, tactical, operational), types of information workers (information producers and information consumers), and the data management and BI application processing technologies that support these BI processing modes and information workers, we are now in a position to discuss an enterprise BI framework that can be used to design and build a flexible BI system. An example of such a framework is shown in Figure 6. The framework in Figure 6 is a more detailed version of the decision workflows illustrated in Figures 1 and 3. The framework shows how data flows between operational, BI analytical and collaborative applications. At the center of the diagram are the traditional BI applications that produce tactical and strategic data analytics. The BI industry is evolving to support embedded BI and event analytics The left-hand side of the figure shows how embedded BI services receive operational events and produce event analytics. It also illustrates how embedded BI services interact with operational applications to process service requests. As an example, a Copyright 2009 BI Research, All Rights Reserved. 7

10 service request could ask a BI service to access customer lifetime value scores from a data warehouse for use in a call center application. Support for content analytics is also an important trend A BI system must be able to interact with collaborative and office applications The right-hand side of Figure 6 depicts how analytics are produced from unstructured business content. In some cases, content analytics may be produced directly by content analysis applications, while in other situations the unstructured content may be converted into a structured or semi-structured format and stored in a data warehouse for use by tactical and strategic BI applications. At the bottom of Figure 6 are the data management services that handle the data discovery, access and integration activities of a decision workflow. At the top of the figure are the collaborative applications that receive data, event and content analytics, which enable business users to share information and expertise and determine what actions are required to handle different business situations. These collaborative applications also interact with office and social computing applications as well as business portals and other types of web interfaces. AN EVOLUTIONARY APPROACH TO DEPLOYING A BI SYSTEM The enterprise BI framework shown in Figure 6 can be used to construct a BI system that can evolve with the constantly changing BI technology and product landscape. There are many approaches to constructing such a BI system. Regardless of the approach for selecting products, a BI system must be able to support different approaches and handle technology changes Some organizations, for example, may select and integrate best of breed products, while others may opt for using a single platform from a single supplier. Some companies may focus on open source solutions in order to reduce software costs. It is also likely, given the current recession, that IT budgets will become restricted, and as a result some business units may deploy their own short-term BI solutions. Given this dynamic environment, it is important that the BI system remain flexible to be able to support and integrate these various approaches. The BeyeNETWORK survey showed that 52% of respondents are building their BI systems using best of breed products, while 25% said they use a single suite of products from a single supplier. Most of the remainder (21%) also use a single suite of products, but employ best of breed products to fill in any missing capabilities. Another approach to filling in these gaps is with open source software. About 50% of respondents were using, or planning to use, an open source data management or BI product. The direction of the BI vendors over the past few years has been to create a single suite of BI products through both product development and product acquisition. As a result, the level of integration in these product suites varies depending on how recent the products were acquired and on how much effort is required to incorporate the acquired products into the BI suite. The level of product integration is a key distinguishing feature between vendors When asked if they thought the BI industry benefited from the large number of acquisitions over the past few years, 9% of respondents strongly agreed, 44% partly agreed, but nearly half were neutral or felt is was not beneficial. These results suggest that customers are still unsure about this industry trend and are waiting to see how successful vendors are at integrating acquired products. Regardless, 43% of respondents said they intend to reduce and consolidate the number of BI-related Copyright 2009 BI Research, All Rights Reserved. 8

11 products they use, and 22% were considering it. The level of integration in a product suite and its ability to incorporate other best of breed solutions are key distinguishing features between different vendor solutions. Organizations are trying to reduce the number of BI products they use Organizations are embracing new BI and data warehousing technologies It is important to be able to evolve a BI system to handle different types of BI processing, information workers and technologies One approach to building and evolving a BI system using an enterprise BI framework is to create a list of recommended products that can be updated as the market changes. This approach helps control product proliferation and enables the organization to efficiently manage the move toward supporting the complete enterprise BI framework shown in Figure 6. Among our survey respondents, 66% have a recommended product list. Not all companies enforce such a list, but twothirds of those that do maintain a list enforce it and have a policy that deviations have to be justified. The results of the BeyeNETWORK study clearly demonstrate that organizations see the importance of bringing new and evolving business intelligence and data warehousing technologies into their organizations. In the data management and data warehousing area companies were especially focused on data quality management, supporting large data warehouses, and on expanding their data warehousing environments to support web and unstructured data. For business intelligence, the areas of focus were on operational BI, and on making business intelligence more usable through web-based interfaces, executive dashboards and integration with office products. Improved usability enables business intelligence to be deployed to a wider user audience, which leverages the investment made in an organization s BI and data warehousing system. To exploit new BI and data warehousing developments, organizations need a flexible BI system that can absorb new technology developments and support new types of BI processing without a major impact to existing users. This paper has presented an enterprise BI framework that includes the key elements of such a system. The framework can support the three main modes of BI processing, different kinds of information workers, and the main data management and BI application processing technologies that exist today. It will take time for organizations to build a BI system that supports this framework. The objective of the framework is not to document a short-term objective, but to provide a long-term goal for a BI system that organizations can gradually move toward and can adjust as products and technologies change. About BI Research BI Research is a research and consulting company whose goal is to help companies understand and exploit new developments in business intelligence and data integration. When combined, business intelligence and a sound data integration infrastructure enable an organization to become a smart and agile business. About the BeyeNETWORK The BeyeNETWORK focuses on business intelligence, performance management, data warehousing, data integration and data quality, serving these communities with unparalleled industry coverage and resources. Copyright 2009 BI Research, All Rights Reserved. 9

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

The Importance of a Single Platform for Data Integration and Quality Management

The Importance of a Single Platform for Data Integration and Quality Management helping build the smart and agile business The Importance of a Single Platform for Data Integration and Quality Management Colin White BI Research March 2008 Sponsored by Business Objects TABLE OF CONTENTS

More information

Operational BI: Expanding BI Through New, Innovative Analytics Going Beyond the Traditional Data Warehouse

Operational BI: Expanding BI Through New, Innovative Analytics Going Beyond the Traditional Data Warehouse September 2009 Operational BI: Expanding BI Through New, Innovative Analytics Going Beyond the Traditional Data Warehouse Claudia Imhoff, Ph.D. Table of Contents Executive Summary... 3 Operational BI Benefits...

More information

Using Master Data in Business Intelligence

Using Master Data in Business Intelligence helping build the smart business Using Master Data in Business Intelligence Colin White BI Research March 2007 Sponsored by SAP TABLE OF CONTENTS THE IMPORTANCE OF MASTER DATA MANAGEMENT 1 What is Master

More information

Integrating SAP and non-sap data for comprehensive Business Intelligence

Integrating SAP and non-sap data for comprehensive Business Intelligence WHITE PAPER Integrating SAP and non-sap data for comprehensive Business Intelligence www.barc.de/en Business Application Research Center 2 Integrating SAP and non-sap data Authors Timm Grosser Senior Analyst

More information

Next Generation Business Performance Management Solution

Next Generation Business Performance Management Solution Next Generation Business Performance Management Solution Why Existing Business Intelligence (BI) Products are Inadequate Changing Business Environment In the face of increased competition, complex customer

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

www.ducenit.com Analance Data Integration Technical Whitepaper

www.ducenit.com Analance Data Integration Technical Whitepaper Analance Data Integration Technical Whitepaper Executive Summary Business Intelligence is a thriving discipline in the marvelous era of computing in which we live. It s the process of analyzing and exploring

More information

Business Intelligence

Business Intelligence Business Intelligence What is it? Why do you need it? This white paper at a glance This whitepaper discusses Professional Advantage s approach to Business Intelligence. It also looks at the business value

More information

Converging Technologies: Real-Time Business Intelligence and Big Data

Converging Technologies: Real-Time Business Intelligence and Big Data Have 40 Converging Technologies: Real-Time Business Intelligence and Big Data Claudia Imhoff, Intelligent Solutions, Inc Colin White, BI Research September 2013 Sponsored by Vitria Technologies, Inc. Converging

More information

BIG DATA + ANALYTICS

BIG DATA + ANALYTICS An IDC InfoBrief for SAP and Intel + USING BIG DATA + ANALYTICS TO DRIVE BUSINESS TRANSFORMATION 1 In this Study Industry IDC recently conducted a survey sponsored by SAP and Intel to discover how organizations

More information

www.sryas.com Analance Data Integration Technical Whitepaper

www.sryas.com Analance Data Integration Technical Whitepaper Analance Data Integration Technical Whitepaper Executive Summary Business Intelligence is a thriving discipline in the marvelous era of computing in which we live. It s the process of analyzing and exploring

More information

Štandardizácia BI na platforme Oracle. Gabriela Heč ková, Oracle Slovensko

Štandardizácia BI na platforme Oracle. Gabriela Heč ková, Oracle Slovensko Štandardizácia BI na platforme Oracle Gabriela Heč ková, Oracle Slovensko Oracle Business Intelligence Continued Investment & Innovation Embedded Business Intelligence Oracle Business Intelligence 11g

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

TRENDS IN THE DEVELOPMENT OF BUSINESS INTELLIGENCE SYSTEMS

TRENDS IN THE DEVELOPMENT OF BUSINESS INTELLIGENCE SYSTEMS 9 8 TRENDS IN THE DEVELOPMENT OF BUSINESS INTELLIGENCE SYSTEMS Assist. Prof. Latinka Todoranova Econ Lit C 810 Information technology is a highly dynamic field of research. As part of it, business intelligence

More information

The Future of Business Analytics is Now! 2013 IBM Corporation

The Future of Business Analytics is Now! 2013 IBM Corporation The Future of Business Analytics is Now! 1 The pressures on organizations are at a point where analytics has evolved from a business initiative to a BUSINESS IMPERATIVE More organization are using analytics

More information

Leveraging Information to Drive Insurer Growth

Leveraging Information to Drive Insurer Growth KNOWLEDGENT INSIGHTS volume 2 no. 5 March 27, 2012 Leveraging Information to Drive Insurer Growth In the highly competitive insurance industry, leveraging information has become a key focal point for driving

More information

Business Intelligence

Business Intelligence Transforming Information into Business Intelligence Solutions Business Intelligence Client Challenges The ability to make fast, reliable decisions based on accurate and usable information is essential

More information

Data Integration: Using ETL, EAI, and EII Tools to Create an Integrated Enterprise. Colin White Founder, BI Research TDWI Webcast October 2005

Data Integration: Using ETL, EAI, and EII Tools to Create an Integrated Enterprise. Colin White Founder, BI Research TDWI Webcast October 2005 Data Integration: Using ETL, EAI, and EII Tools to Create an Integrated Enterprise Colin White Founder, BI Research TDWI Webcast October 2005 TDWI Data Integration Study Copyright BI Research 2005 2 Data

More information

redesigning the data landscape to deliver true business intelligence Your business technologists. Powering progress

redesigning the data landscape to deliver true business intelligence Your business technologists. Powering progress redesigning the data landscape to deliver true business intelligence Your business technologists. Powering progress The changing face of data complexity The storage, retrieval and management of data has

More information

MDM and Data Warehousing Complement Each Other

MDM and Data Warehousing Complement Each Other Master Management MDM and Warehousing Complement Each Other Greater business value from both 2011 IBM Corporation Executive Summary Master Management (MDM) and Warehousing (DW) complement each other There

More information

Customer Experience Management

Customer Experience Management Customer Experience Management Best Practices for Voice of the Customer (VoC) Programmes Jörg Höhner Senior Vice President Global Head of Automotive SPA Future Thinking The Evolution of Customer Satisfaction

More information

IBM Software Enabling business agility through real-time process visibility

IBM Software Enabling business agility through real-time process visibility IBM Software Enabling business agility through real-time process visibility IBM Business Monitor 2 Enabling business agility through real-time process visibility Highlights Understand the big picture of

More information

Common Situations. Departments choosing best in class solutions for their specific needs. Lack of coordinated BI strategy across the enterprise

Common Situations. Departments choosing best in class solutions for their specific needs. Lack of coordinated BI strategy across the enterprise Common Situations Lack of coordinated BI strategy across the enterprise Departments choosing best in class solutions for their specific needs Acquisitions of companies using different BI tools 2 3-5 BI

More information

North Highland Data and Analytics. Data Governance Considerations for Big Data Analytics

North Highland Data and Analytics. Data Governance Considerations for Big Data Analytics North Highland and Analytics Governance Considerations for Big Analytics Agenda Traditional BI/Analytics vs. Big Analytics Types of Requiring Governance Key Considerations Information Framework Organizational

More information

Title Business Intelligence: A Discussion on Platforms, Technologies, and solutions

Title Business Intelligence: A Discussion on Platforms, Technologies, and solutions Title Business Intelligence: A Discussion on Platforms, Technologies, and solutions Overview The main thrust of the tutorial is to compare and contrast Business Intelligence (BI) Platforms to develop business

More information

Extend your analytic capabilities with SAP Predictive Analysis

Extend your analytic capabilities with SAP Predictive Analysis September 9 11, 2013 Anaheim, California Extend your analytic capabilities with SAP Predictive Analysis Charles Gadalla Learning Points Advanced analytics strategy at SAP Simplifying predictive analytics

More information

A Hyperion System Overview. Hyperion System 9

A Hyperion System Overview. Hyperion System 9 A Hyperion System Overview Hyperion System 9 Your organization relies on multiple transactional systems including ERP, CRM, and general ledger systems to run your business. In today s business climate

More information

Five Technology Trends for Improved Business Intelligence Performance

Five Technology Trends for Improved Business Intelligence Performance TechTarget Enterprise Applications Media E-Book Five Technology Trends for Improved Business Intelligence Performance The demand for business intelligence data only continues to increase, putting BI vendors

More information

IBM Information Management

IBM Information Management IBM Information Management January 2008 IBM Information Management software Enterprise Information Management, Enterprise Content Management, Master Data Management How Do They Fit Together An IBM Whitepaper

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

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

Executive Summary WHO SHOULD READ THIS PAPER?

Executive Summary WHO SHOULD READ THIS PAPER? The Business Value of Business Intelligence in SharePoint 2010 Executive Summary SharePoint 2010 is The Business Collaboration Platform for the Enterprise & the Web that enables you to connect & empower

More information

Food & Beverage Industry Brief

Food & Beverage Industry Brief KudzuCreative Content Creation Food & Beverage Industry Brief KudzuCreative kudzucreative.com Content Created for, Microsoft Dynamics AX Gold Partner laurenparker@kudzucreative.com NOT YOUR FATHER S FUNCTIONALITY

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

Data Integration Alternatives & Best Practices

Data Integration Alternatives & Best Practices CAS 2006 March 13, 2006, 2:00 3:30 Data 2: Information Stored, Mined & Utilized/2 Data Integration Alternatives & Best Practices Patricia Saporito, CPCU Insurance Industry Practice Director Information

More information

Best Practices for Leveraging Business Analytics in Today s and Tomorrow s Insurance Sector

Best Practices for Leveraging Business Analytics in Today s and Tomorrow s Insurance Sector Best Practices for Leveraging Business Analytics in Today s and Tomorrow s Insurance Sector Mark B. Gorman Principal, Mark B. Gorman & Associates LLC January 2009 Executive Summary Sponsored by Report

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

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

A Roadmap to Intelligent Business By Mike Ferguson Intelligent Business Strategies

A Roadmap to Intelligent Business By Mike Ferguson Intelligent Business Strategies A Roadmap to Business By Mike Ferguson Business Strategies What is Business? business is a fundamental shift in thinking for the world of data warehousing and business intelligence (BI). It is about putting

More information

SAS Enterprise Decision Management at a Global Financial Services Firm: Enabling More Rapid Implementation of Decision Models into Production

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

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

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

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

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

8 Ways that Business Intelligence Projects are Different

8 Ways that Business Intelligence Projects are Different 8 Ways that Business Intelligence Projects are Different And How to Manage BI Projects to Ensure Success Business Intelligence and Data Warehousing projects have developed a reputation as being difficult,

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

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

Using Big Data for Smarter Decision Making. Colin White, BI Research July 2011 Sponsored by IBM

Using Big Data for Smarter Decision Making. Colin White, BI Research July 2011 Sponsored by IBM Using Big Data for Smarter Decision Making Colin White, BI Research July 2011 Sponsored by IBM USING BIG DATA FOR SMARTER DECISION MAKING To increase competitiveness, 83% of CIOs have visionary plans that

More information

Making Open Source BI Viable for the Enterprise. An Alternative Approach for Better Business Decision-Making. White Paper

Making Open Source BI Viable for the Enterprise. An Alternative Approach for Better Business Decision-Making. White Paper Making Open Source BI Viable for the Enterprise An Alternative Approach for Better Business Decision-Making White Paper Aligning Business and IT To Improve Performance Ventana Research 6150 Stoneridge

More information

Management Consulting Systems Integration Managed Services WHITE PAPER DATA DISCOVERY VS ENTERPRISE BUSINESS INTELLIGENCE

Management Consulting Systems Integration Managed Services WHITE PAPER DATA DISCOVERY VS ENTERPRISE BUSINESS INTELLIGENCE Management Consulting Systems Integration Managed Services WHITE PAPER DATA DISCOVERY VS ENTERPRISE BUSINESS INTELLIGENCE INTRODUCTION Over the past several years a new category of Business Intelligence

More information

CONNECTING DATA WITH BUSINESS

CONNECTING DATA WITH BUSINESS CONNECTING DATA WITH BUSINESS Big Data and Data Science consulting Business Value through Data Knowledge Synergic Partners is a specialized Big Data, Data Science and Data Engineering consultancy firm

More information

Oracle Business Intelligence EE. Prab h akar A lu ri

Oracle Business Intelligence EE. Prab h akar A lu ri Oracle Business Intelligence EE Prab h akar A lu ri Agenda 1.Overview 2.Components 3.Oracle Business Intelligence Server 4.Oracle Business Intelligence Dashboards 5.Oracle Business Intelligence Answers

More information

Oracle Data Integrator 12c (ODI12c) - Powering Big Data and Real-Time Business Analytics. An Oracle White Paper October 2013

Oracle Data Integrator 12c (ODI12c) - Powering Big Data and Real-Time Business Analytics. An Oracle White Paper October 2013 An Oracle White Paper October 2013 Oracle Data Integrator 12c (ODI12c) - Powering Big Data and Real-Time Business Analytics Introduction: The value of analytics is so widely recognized today that all mid

More information

IBM Cognos 8 Business Intelligence Reporting Meet all your reporting requirements

IBM Cognos 8 Business Intelligence Reporting Meet all your reporting requirements Data Sheet IBM Cognos 8 Business Intelligence Reporting Meet all your reporting requirements Overview Reporting requirements have changed dramatically in organizations. Organizations today are much more

More information

Top 5 Transformative Analytics Applications in Retail

Top 5 Transformative Analytics Applications in Retail Top 5 Transformative Analytics Applications in Retail Learn how you can boost your bottom line and acquire engaged, happy customers with actionable insight from the world s most comprehensive analytics

More information

ABOUT US WHO WE ARE. Helping you succeed against the odds...

ABOUT US WHO WE ARE. Helping you succeed against the odds... ACCURACY DELIVERED ABOUT US WHO WE ARE BizAcuity is a fast growing Business intelligence strategy company, providing reliable, scalable and cost effective consultancy and services to clients across the

More information

DATA VISUALIZATION: When Data Speaks Business PRODUCT ANALYSIS REPORT IBM COGNOS BUSINESS INTELLIGENCE. Technology Evaluation Centers

DATA VISUALIZATION: When Data Speaks Business PRODUCT ANALYSIS REPORT IBM COGNOS BUSINESS INTELLIGENCE. Technology Evaluation Centers PRODUCT ANALYSIS REPORT IBM COGNOS BUSINESS INTELLIGENCE DATA VISUALIZATION: When Data Speaks Business Jorge García, TEC Senior BI and Data Management Analyst Technology Evaluation Centers Contents About

More information

The retailers guide to data discovery

The retailers guide to data discovery The retailers guide to data discovery How smart retailers are using visual data discovery to search for actionable insights that boost profits and help them understand their customers next move quicker

More information

Oracle Business Intelligence 11g Business Dashboard Management

Oracle Business Intelligence 11g Business Dashboard Management Oracle Business Intelligence 11g Business Dashboard Management Thomas Oestreich Chief EPM STrategist Tool Proliferation is Inefficient and Costly Disconnected Systems; Competing Analytic

More information

IBM Cognos Insight. Independently explore, visualize, model and share insights without IT assistance. Highlights. IBM Software Business Analytics

IBM Cognos Insight. Independently explore, visualize, model and share insights without IT assistance. Highlights. IBM Software Business Analytics Independently explore, visualize, model and share insights without IT assistance Highlights Explore, analyze, visualize and share your insights independently, without relying on IT for assistance. Work

More information

Riversand Technologies, Inc. Powering Accurate Product Information PIM VS MDM VS PLM. A Riversand Technologies Whitepaper

Riversand Technologies, Inc. Powering Accurate Product Information PIM VS MDM VS PLM. A Riversand Technologies Whitepaper Riversand Technologies, Inc. Powering Accurate Product Information PIM VS MDM VS PLM A Riversand Technologies Whitepaper Table of Contents 1. PIM VS PLM... 3 2. Key Attributes of a PIM System... 5 3. General

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

EMERGING TRENDS Business Process Management

EMERGING TRENDS Business Process Management >>White Paper June 2009 EMERGING TRENDS Business Process Management >> Romeo Elias, Chief Operating Officer, Founder, Interneer Inc. Contents Introduction... 3 Hosted or SaaS... 3 Simplicity and Savings...

More information

Establishing a business performance management ecosystem.

Establishing a business performance management ecosystem. IBM business performance management solutions White paper Establishing a business performance management ecosystem. IBM Software Group March 2004 Page 2 Contents 2 Executive summary 3 Business performance

More information

CRM. Best Practice Webinar. Next generation CRM for enhanced customer journeys: from leads to loyalty

CRM. Best Practice Webinar. Next generation CRM for enhanced customer journeys: from leads to loyalty CRM Best Practice Webinar Next generation CRM for enhanced customer journeys: from leads to loyalty Featured guest speaker Leslie Ament SVP Research and Principal Analyst at Hypatia Research Group and

More information

Best Practices in Enterprise Data Governance

Best Practices in Enterprise Data Governance Best Practices in Enterprise Data Governance Scott Gidley and Nancy Rausch, SAS WHITE PAPER SAS White Paper Table of Contents Introduction.... 1 Data Governance Use Case and Challenges.... 1 Collaboration

More information

Business Intelligence Meets Business Process Management. Powerful technologies can work in tandem to drive successful operations

Business Intelligence Meets Business Process Management. Powerful technologies can work in tandem to drive successful operations Business Intelligence Meets Business Process Management Powerful technologies can work in tandem to drive successful operations Content The Corporate Challenge.3 Separation Inhibits Decision-Making..3

More information

How Effectively Are Companies Using Business Analytics? DecisionPath Consulting Research October 2010

How Effectively Are Companies Using Business Analytics? DecisionPath Consulting Research October 2010 How Effectively Are Companies Using Business Analytics? DecisionPath Consulting Research October 2010 Thought-Leading Consultants in: Business Analytics Business Performance Management Business Intelligence

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

White Paper The Benefits of Business Intelligence Standardization

White Paper The Benefits of Business Intelligence Standardization White Paper The Benefits of Business Intelligence Standardization Why Should You Standardize Your Business Intelligence Tools? Author: Timo Elliott (timo.elliott@businessobjects.com) Contributors: Audience:

More information

A Guide Through the BPM Maze

A Guide Through the BPM Maze A Guide Through the BPM Maze WHAT TO LOOK FOR IN A COMPLETE BPM SOLUTION With multiple vendors, evolving standards, and ever-changing requirements, it becomes difficult to recognize what meets your BPM

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

PRACTICAL BUSINESS INTELLIGENCE STRATEGIES:

PRACTICAL BUSINESS INTELLIGENCE STRATEGIES: PRACTICAL BUSINESS INTELLIGENCE STRATEGIES: Strong BI Foundations to Fuel Your Business Success. Companies that stand out from the crowd have learned the importance of leveraging information to make the

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

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

Twitter: #VRBTL and @ventanaresearch. 1 2013 Ventana Research

Twitter: #VRBTL and @ventanaresearch. 1 2013 Ventana Research Twitter: #VRBTL and @ventanaresearch 1 2013 Ventana Research Busting up BI and Building a Big Data Analytics Foundation Tony Cosentino VP and Research Director #VRBTL and @tonycosentinovr 2 2013 Ventana

More information

Business Intelligence and Service Oriented Architectures. An Oracle White Paper May 2007

Business Intelligence and Service Oriented Architectures. An Oracle White Paper May 2007 Business Intelligence and Service Oriented Architectures An Oracle White Paper May 2007 Note: The following is intended to outline our general product direction. It is intended for information purposes

More information

The Business Value of Predictive Analytics

The Business Value of Predictive Analytics The Business Value of Predictive Analytics Alys Woodward Program Manager, European Business Analytics, Collaboration and Social Solutions, IDC London, UK 15 November 2011 Copyright IDC. Reproduction is

More information

Tapping the benefits of business analytics and optimization

Tapping the benefits of business analytics and optimization IBM Sales and Distribution Chemicals and Petroleum White Paper Tapping the benefits of business analytics and optimization A rich source of intelligence for the chemicals and petroleum industries 2 Tapping

More information

Cablecom Delivers Unique Customer Experience Through Its Innovative Use of Business Analytics

Cablecom Delivers Unique Customer Experience Through Its Innovative Use of Business Analytics BUYER CASE STUDY Cablecom Delivers Unique Customer Experience Through Its Innovative Use of Business Analytics Dan Vesset Brian McDonough IDC OPINION Global Headquarters: 5 Speen Street Framingham, MA

More information

A Next-Generation Analytics Ecosystem for Big Data. Colin White, BI Research September 2012 Sponsored by ParAccel

A Next-Generation Analytics Ecosystem for Big Data. Colin White, BI Research September 2012 Sponsored by ParAccel A Next-Generation Analytics Ecosystem for Big Data Colin White, BI Research September 2012 Sponsored by ParAccel BIG DATA IS BIG NEWS The value of big data lies in the business analytics that can be generated

More information

ORACLE BUSINESS INTELLIGENCE APPLICATIONS FOR JD EDWARDS ENTERPRISEONE

ORACLE BUSINESS INTELLIGENCE APPLICATIONS FOR JD EDWARDS ENTERPRISEONE ORACLE BUSINESS INTELLIGENCE APPLICATIONS FOR JD EDWARDS ENTERPRISEONE Organizations with the ability to transform information into action enjoy a strategic advantage over their competitors. Reduced costs,

More information

Big Data Analytics. 10 Best Practice Recommendations. Assessing the Revolution in Big Data and Business Analytics. Sponsored by

Big Data Analytics. 10 Best Practice Recommendations. Assessing the Revolution in Big Data and Business Analytics. Sponsored by Big Data Analytics Assessing the Revolution in Big Data and Business Analytics 10 Best Practice Recommendations Sponsored by Copyright Ventana Research 2013 Do Not Redistribute Without Permission February

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

Business Intelligence

Business Intelligence Microsoft Dynamics NAV 2009 Business Intelligence Driving insight for more confident results White Paper November 2008 www.microsoft.com/dynamics/nav Table of Contents Overview... 3 What Is Business Intelligence?...

More information

Business Intelligence

Business Intelligence Microsoft Dynamics NAV 2009 Business Intelligence Driving insight for more confident results White Paper November 2008 www.microsoft.com/dynamics/nav Table of Contents Overview... 3 What Is Business Intelligence?...

More information

What is Master Data Management and why is it so important? Date: February 2016

What is Master Data Management and why is it so important? Date: February 2016 What is Master Data Management and why is it so important? Date: February 2016 Agenda Introductions KPMG Approach to Master Data Management Panel Discussion Questions from the Audience 2015 KPMG LLP, a

More information

INSIGHT NAV. White Paper

INSIGHT NAV. White Paper INSIGHT Microsoft DynamicsTM NAV Business Intelligence Driving business performance for companies with changing needs White Paper January 2008 www.microsoft.com/dynamics/nav/ Table of Contents 1. Introduction...

More information

ORACLE TAX ANALYTICS. The Solution. Oracle Tax Data Model KEY FEATURES

ORACLE TAX ANALYTICS. The Solution. Oracle Tax Data Model KEY FEATURES ORACLE TAX ANALYTICS KEY FEATURES A set of comprehensive and compatible BI Applications. Advanced insight into tax performance Built on World Class Oracle s Database and BI Technology Design after the

More information

ORACLE PROJECT ANALYTICS

ORACLE PROJECT ANALYTICS ORACLE PROJECT ANALYTICS KEY FEATURES & BENEFITS FOR BUSINESS USERS Provides role-based project insight across the lifecycle of a project and across the organization Delivers a single source of truth by

More information

Integrated business intelligence solutions for your organization

Integrated business intelligence solutions for your organization Integrated business intelligence solutions for your organization In the business world, critical information influences individuals goals, affects how people work across teams and ultimately helps organizations

More information

Extensibility of Oracle BI Applications

Extensibility of Oracle BI Applications Extensibility of Oracle BI Applications The Value of Oracle s BI Analytic Applications with Non-ERP Sources A White Paper by Guident Written - April 2009 Revised - February 2010 Guident Technologies, Inc.

More information

ECM: Key Market Trends and the Impact of Business Intelligence

ECM: Key Market Trends and the Impact of Business Intelligence ECM: Key Market Trends and the Impact of Business Intelligence Cheryl McKinnon, Principal Analyst February 2014 Agenda ECM current state and market trends Achieve ECM success by using 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

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

Business Intelligence

Business Intelligence WHITEPAPER Business Intelligence Solution for Clubs This whitepaper at a glance This whitepaper discusses the business value of implementing a business intelligence solution at clubs and provides a brief

More information

Three proven methods to achieve a higher ROI from data mining

Three proven methods to achieve a higher ROI from data mining IBM SPSS Modeler Three proven methods to achieve a higher ROI from data mining Take your business results to the next level Highlights: Incorporate additional types of data in your predictive models By

More information