Your information can be one of your greatest assets - helping you stay on top of regulatory requirements, close to customers, and ahead of the competition. Organizations that pay attention to their data will be the ones to survive and thrive. So how do you obtain a complete view of your information when it is scattered across silos? Or integrate data from structured and unstructured data sources? Or help reduce the risk of inaccurate reporting? And how do you manage your information more effectively to help keep costs from spiraling out of control? Download a complimentary white paper and discover how an information management strategy can help support your business goals and promote significant return on investment.
TDWIM o n o g r a p h S e r i e s
m a r c h 2 0 0 9
Enterprise Information Management:
In Support of Operational, Analytic, and
Governance Initiatives
By Philip RussomSenior Manager, TDWI Research The Data Warehousing Institute
SPONSORED BY TDWI Monograph Enterprise Information Management
Table of Contents Defining Enterprise Information Management............................................................................3 What it means for EIM to be holistic and strategic....................................................................4 EIM for Operational Systems and Business Processes ................................................................7 Operational excellence requires excellent information..............................................................7 Technical attributes of EIM for operational excellence.............................................................9 EIM for Analytics, Business Intelligence, and Data Warehousing...........................................11 Great decisions require great information................................................................................11 Technical attributes of EIM for BI/DW...................................................................................12 The Role of Governance in Enterprise Information Management...........................................13 EIM requires a lot of change, and data governance manages change very well......................14 Data governance can be a critical success factor for EIM. ......................................................15 Recommendations.........................................................................................................................15
About the Author PHILIP RUSSOM is the senior manager of TDWI Research at The Data Warehousing Institute (TDWI), where he oversees many of TDWI's research-oriented publications, services, awards, and events. Before joining TDWI in 2005, Russom was an industry analyst covering BI at Forrester Research, Giga Information Group, and Hurwitz Group. He's also run his own business as an independent industry analyst and BI consultant, and was contributing editor with Intelligent Enterprise and DM Review magazines. Before that, Russom worked in technical and marketing positions for various database vendors. You can reach him at prussom@tdwi.org.
About Our Sponsor SAP is the world's leading provider of business software, offering applications and services that enable companies of all sizes and in more than 25 industries to become best-run businesses. SAP has more than 82,000 customers in over 120 countries. The SAP® BusinessObjectsT portfolio transforms the way the world works by connecting people, information and businesses. With open, heterogeneous solutions in the areas of business intelligence; information management; governance, risk and compliance; and enterprise performance management, the SAP BusinessObjects portfolio enables organizations to close the gap between business strategy and execution. For more information, visit www.sap.com.
Page 2 of 16 TDWI Monograph Enterprise Information Management
Defining Enterprise Information Management In most organizations today, data and other information is managed in isolated silos by independent teams using diverse information management tools for data integration, quality, profiling, federation, meta- and master data management, and so on. However, there's a trend toward enterprise information management (EIM), a practice that holistically coordinates teams and integrates tools. Through team collaboration and tool interoperability, EIM seeks to improve the "four Cs," namely the completeness, cleanliness, consistency, and currency of structured and unstructured data.
The four Cs are worthy goals from a technology viewpoint, and they certainly prepare data for the next step, which is to share and leverage information across multiple business units of an organization and with business or trading partners. Once dat... [download for more]
