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Displaying 330–345 (of 607)

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Title Popularity * Date
Book Review of The Data Model Resource Book Summary
Steve Hoberman reviews Volume 3 of The Data Model Resource Book series.

Topics: Information Management, Data Modeling and Design

by Steve Hoberman | 0 comments
Introducing Principles-Based Data Governance Summary
A principles-based data governance approach will seek to replace poor existing principles with better ones and empower stakeholders to implement them without prescribing how it should be done. Malcolm Chisholm explains how this will avoid creating bureaucratic overhead and give the enterprise a reasonable way to implement effective data governance.

Topics: Information Management, Data Quality, Data Governance, Information Quality (IQ)

by Malcolm Chisholm | 0 comments
Data Modelling is Not Just for DBMSs, Part 1 Summary
To begin this 2-part series, Chris Bradley takes a look at why data modelling still needs to be sold and why big benefits fail to be delivered. What has happened, and what needs to change?

Topics: Information Management, Data Modeling and Design

by Chris Bradley | 0 comments
Spotless Mind of a Project Manager Summary
Korhan Yunak presents three critical success factors for project management.

Topics: Information Management, Best Practices, Business Intelligence

by Korhan Yunak | 0 comments
Database Technology for the Web: Part 1 The MapReduce Debate Summary
Colin White weighs in on the MapReduce debate, reviewing this technology and describing its pros and cons.

Topics: Information Management, Databases/Database Administration, Data Management

by Colin White | 0 comments
Development Processes in Data Warehouse Environments Summary
BeyeNETWORK welcomes new channel leader Ronald Damhof, an information management architect who will write on data management issues.

Topics: Data Warehousing, Information Management, Operational Business Intelligence

by Ronald Damhof | 0 comments
Executive Information Systems Revisited Summary
Dan Power explains why data warehouses, business intelligence technologies, the Web and OLAP have made executive information systems potentially more powerful and more practical.

Topics: Data Warehousing, Information Management, Operational Business Intelligence

by Dan Power | 0 comments
Book Review: Data Modeling for the Business Summary
William McKnight suggests that if more companies used high-level data models effectively, the result would be improved business results. He describes how this book can assist with the high-level data modeling process.

Topics: Data Warehousing, Information Management, Operational Business Intelligence

by William McKnight | 0 comments
CVM Combined with Analytics Summary
Building analytical capabilities that include subscriber segmentation based on usage behaviours and churn analysis should be a primary focus for a successful CVM program. This must be followed by effective marketing campaigns.

Topics: Analytics, Data Modeling and Design, Predictive Analytics

by Korhan Yunak | 0 comments
Pay as You Go: SaaS Business Intelligence and Data Management Summary
Claudia Imhoff and Colin White provide an overview the case studies of five companies that have successfully deployed software as a service (SaaS) business intelligence or data management solutions.

Topics: Business Intelligence, Information Management, SaaS (Software as a Service)

by Claudia Imhoff, Colin White | 0 comments
7 Highly Elegant Business Intelligence Applications for Healthcare Providers Summary
Scott Wanless describes 7 business intelligence applications that add value at any time, in any economy, at any level of the organization, for any size or type of healthcare organization, and are visible and valuable across the organization.

Topics: Business Intelligence, Analytics

by Scott Wanless | 0 comments
The Flaws of the Classic Data Warehouse Architecture, Part 3 Summary
Rick van der Lans describes the relationship between the data delivery platform and ETL tools, EII tools, the virtual data warehouse and service-oriented architectures.

Topics: Data Warehousing, Enterprise Information Integration (EII), Architecture, ETL, Service Oriented Architecture (SOA)

by Rick van der Lans | 0 comments
Mastering Data Management in Health and Life Sciences Summary
Greg Nelson outlines the benefits of a good master data management strategy, talks about the challenges that organizations have to overcome and concludes with a brief discussion on the ROI that is achievable if successful.

Topics: Business Intelligence, Analytics, Master Data Management (MDM)

by Greg Nelson | 0 comments
Rethinking Definition Summary
Malcolm Chisholm explains that acknowledging definitions have to be captured rather than gathered, and that they can be continuously improved, will make them more valuable to the enterprise over time.

Topics: Business Intelligence, Analytics, Master Data Management (MDM)

by Malcolm Chisholm | 0 comments
What it Takes to be a Real CVM Player Summary
Korhan Yunak describes four strategies to help establish a culture devoted to customer value management.

Topics: Analytics, CRM

by Korhan Yunak | 0 comments

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