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You are viewing BASIC EDITION of World's Largest Online Encyclopedia on Execution and Enterprise Intelligence.
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OLAP Architectures	Business Intelligence Competency Centre

BiPM ENCYCLOPEDIA → Enterprise Intelligence → SECTION - BI End-to-End →

CHAPTER - Business Intelligence Management

Business Intelligence management as a subject covers various aspects of providing BI to an organization. It includes creation of business intelligence program office (which can operate on continuous basis- as BI projects never stop), and how to scope, plan, deliver and maintain BI portfolio of an organization. Here we will be talking about overall BI and not of its individual components like Data Warehouse. The component level management is given in respective sections. You need to look at BI Architecture chapter in the same section, to understand on what all is included in the BI, before going through this chapter.

Topics

Business Intelligence management

Business Intelligence Management covers the entire gamut of activities to enable end-to-end BI. This page lists the activities under BI management.

Business Intelligence organization roles

Business Intelligence has wide range of skills requirements, with uniform demands from Business, Process, Technology and HR. This page given the list of typical roles, responsibilities and skills required.

Business Intelligence Business Case for BI Investments

Building a business-case for stand-alone, departmental data-mart is relatively easy. However, to build a business case for enterprise level BI, including the investments in foundation elements like meta-data repository, does become challenging. This page provides few methods to build the business-case for enterprise level BI.

Business Intelligence Vendor Evaluation

A great OLTP vendor, may not be a successful BI vendor unless there are some significant shifts in capabilities and mind-set are made.

Business Intelligence Metadata Management and Program

Business Intelligence Metadata Management has the agenda of reduced BI efforts, data quality & integrity, flexibility, standardization and centralization of administration & usage of BI platform.