Modern enterprise business intelligence and data management : a roadmap for IT directors, managers, and architects / Alan Simon.

Format:

Book

Author/Creator:

1958- Simon., author.

Contributor:

Alan.

Language:

English

Subjects (All):

Business intelligence.

Data warehousing.

Physical Description:

1 online resource (99 p.)

Edition:

1版ition

Place of Publication:

Waltham, Massachusetts : MK, 2014.

Language Note:

English

System Details:

text file

Summary:

Nearly every large corporation and governmental agency is taking a fresh look at their current enterprise-scale business intelligence (BI) and data warehousing implementations at the dawn of the ""Big Data Era""...and most see a critical need to revitalize their current capabilities. Whether they find the frustrating and business-impeding continuation of a long-standing ""silos of data"" problem, or an over-reliance on static production reports at the expense of predictive analytics and other true business intelligence capabilities, or a lack of progress in achieving the long-sought-after enter

Contents:

Cover; Title Page; Copyright Page; Table of contents; Preface; Terminology; Defining "Enterprise"; Defining "Data"; Defining "Enterprise Data Management"; Defining "Business Intelligence"; About the author; Chapter 1 - The Rebirth of Enterprise Data Management; 1.1 - In the beginning: how we got to where we are today; 1.1.1 - 1960's and 1970's; 1.1.2 - 1980's; 1.1.2.1 - Enterprise Data Models; 1.1.2.2 - Distributed Database Management Systems (DDBMSs); 1.1.3 - 1990's; 1.1.3.1 - Data Warehousing; 1.1.3.2 - Read-Only Distributed Data Access; 1.1.4 - 2000's; 1.1.5 - Today

1.2 - A manifesto for modern enterprise data management: what are we trying to accomplish? 1.2.1 - Bringing Order to an Organization's Data, Reporting, and Analytics; 1.2.2 - Supporting Emerging Technologies and New or Enhanced Applications; 1.2.3 - Turning "Data is our Lifeblood" and "The Data-Driven Organization" into More than Just Slogans; 1.2.4 - Aligning Our Approach and Architecture with Our Organizational Structure and Culture; 1.3 - Chapter summary; Chapter 2 - Assessing Your Organization's Current State of Enterprise Data Management; 2.1 - Introduction

2.2 - A rapid, consensus-driven starting point to current state assessment 2.2.1 - Step 1: Determining the Scope and Scale of the Enterprise; 2.2.2 - Step 2: Complete a 4-by-4 Assessment Scorecard; 2.2.2.1 - Complexity Index; 2.2.2.2 - Quality Index; 2.2.2.3 - Support Index; 2.2.2.4 - Tension Index; 2.3 - Category 1: operational reporting and querying; 2.4 - Category 2: strategic insights; 2.5 - Category 3: data architecture; 2.6 - Category 4: work processes and human/organizational factors; 2.7 - Building and grading the 4-by-4 scorecard; 2.8 - Interpreting the meaning of the results

2.9 - Chapter summary References; Chapter 3 - Identifying and Cataloguing Key Business Imperatives; 3.1 - Introduction; 3.2 - Cross-brand, cross-geography strategic sourcing; 3.3 - Lean manufacturing; 3.4 - "Mega-processes"; 3.5 - Heightened risk mitigation and management; 3.6 - Enterprise systems initiatives; 3.6.1 - New ERP Implementation; 3.6.2 - Enterprise Systems Migration; 3.6.3 - Enterprise Systems Rationalization and Consolidation; 3.7 - Enterprise-level business quality initiatives; 3.8 - Chapter summary; References

Chapter 4 - Surveying Relevant Enterprise Data Management Technologies 4.1 - Introduction; 4.2 - Databases and data storage; 4.3 - Database administration and maintenance; 4.4 - Data virtualization; 4.5 - Master data management; 4.6 - Metadata management; 4.7 - Data quality and profiling; 4.8 - Data governance; 4.9 - Data interchange and movement; 4.10 - Data retrieval, preparation, and delivery (business intelligence, reporting, and analytics); 4.11 - Other core and enabling technologies; 4.12 - Staying on top of proliferating technologies; References

Chapter 5 - Building an Enterprise Data Management and Business Intelligence Roadmap

Notes:

Description based upon print version of record.

Includes bibliographical references at the end of each chapters.

Description based on online resource; title from PDF title page (ebrary, viewed September 11, 2014).

ISBN:

9780128017456

0128017457

OCLC:

892917681