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Displaying 315–330 (of 597)

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Title Popularity * Date
Readmission Rates: A Step Toward Better Healthcare Business Intelligence Summary
Scott Wanless discusses how performance measurement is growing up in healthcare, driving the need for more sophisticated business intelligence for providers, payers, regulators, quality improvement groups and patients.

Topics: Business Intelligence, Analytics

by Scott Wanless | 0 comments
Database Technology for the Web: Part 2 Event Analytics Summary
Colin White provides an overview of event analytics and shows how this type of processing fits into an operational business intelligence (BI) environment.

Topics: Analytics, Business Intelligence, Business Process Management (BPM), Web Analytics

by Colin White | 0 comments
The Data Delivery Platform: Collected Comments Summary
Rick van der Lans responds to comments and questions he received after the BeyeNETWORK published his series on the flaws of the classic data warehouse architecture.

Topics: Data Warehousing, Business Intelligence, Data Acquisition and Delivery

by Rick van der Lans | 0 comments
Serving Two Masters Summary
Relational database vendors made a conscious decision that is bearing bitter fruit today the decision to turn their DBMS products into a one-size fits all technology.

Topics: Data Warehousing
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by Bill Inmon | 0 comments
Seeing What to Do: Toward Visual-Centric Analytics Summary
Richard Hackathorn explains the benefits of future analytics that have a synergistic balance between computation and visualization.

Topics: Analytics, Visualization
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by Richard Hackathorn | 0 comments
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

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