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- Data Warehouse Construction: Forces Driving Architectural Evolution Summary
In this article in his series on data warehouse construction, Bin Jiang looks at extracting, transforming and loading the data for the data warehouse, explaining how the ETL process is evolving.
by Bin Jiang, Ph.D. - Customer Categorization Tips for Identifying “Good” Customers Summary
David Loshin provides helpful suggestions for categorizing your customers in order to identify your organization's best customers.
by David Loshin - Technology Adoption Success: Subtle Differences Summary
Bill Inmon discusses why some organizations succeed with new technologies and others fail.
by Bill Inmon - Providing Real Business Value Summary
Bill Inmon reminds us the importance of adopting proven technologies that provide true business value.
by Bill Inmon - Data Warehouse Construction: Constructional Efficiency Summary
In this article, Bin Jiang discusses the constructional efficiencies that can be realized by using a metadata-driven generic operator approach when building a data warehouse.
by Bin Jiang, Ph.D. - Understanding the Customer Life Cycle Summary
David Loshin explores the variations in customer life cycles and discusses how that impacts customer lifetime value.
by David Loshin - The Changing Role of IT Summary
Bill Inmon looks at the evolution of technology and the role of the IT department.
by Bill Inmon - Data Warehouse Construction: Generator or Operator? Summary
In this article, Bin Jiang explores the difference between compilers and interpreters or generators and operators from the software administration and operating perspective.
by Bin Jiang, Ph.D.
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- Match in-memory processing speed to big data analytics business need Summary
Michael Minelli, co-author of a book on big data analytics, says in-memory analytics tools must be tied to business processes to pay off for users. - In-memory analytics tools pack potential big data punch Summary
The faster analytics performance spurred by in-memory technology can help companies capitalize on big data, but there are barriers to be aware of. - McLaren uses high-speed data analytics to gain Formula 1 edge Summary
The McLaren Group uses high-speed data analytics as it seeks a competitive edge for its Formula 1 racing team engineers
Most Recent Resources:
- C-level execs need to develop better decision making skills to capitalize on big data technology, said speakers at the 2013 MIT Sloan CIO Symposium. Summary
MIT panelists: Big data calls for data-driven decision making skills
Source: EOC - SAP Jam is an improvement over SAP StreamWork in terms of integration with business processes, but questions still remain over its viability, William Newman writes. Summary
SAP social collaboration strategy grinds forward with SAP JAM
Source: EOC - The water and power division of the manufacturing giant used the BI suite to harness real-time operational intelligence into its capital assets. Summary
GE customizes asset management tool JackBe Presto
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