(0)
Overview: Characteristically, the data warehouse is a central repository of vast amounts of disparate data. The process of cleansing, extracting, transforming and organizing this data into an enterprise intelligence platform (data mart) presents unique challenges. An optimized approach towards performance driven data integration should eliminate redundancy and incorporate accuracy, timeliness, automation and quality. Such a process/system brings greater agility, better decision-making and reduced cost and risk to performing insightful statistical analysis and reporting. This paper from SAS presents an optimized approach to create SAS data sets directly from a traditional RDBMS data warehouse.
Enterprise Packages: Where Are They Headed?
This shift in the development and usage of business applications in large corporations began in the 1990s when enterprise packages arrived on the scene....
Impact Business Performance with BPM
To maximize your chances for success, you need the ability to continually optimize, streamline and align business processes to meet changing business needs for greater performance. Business process management (BPM) from IBM can help.
|
