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James Kobielus, Information Management Blogs, December 15, 2009
As we bid adieu to one decade and move into the next, it's important to catch our collective breath and to take a quick look ahead. Here are some quick thoughts on the trends that will shape advanced analytics in the year to come. These trends will set the stage for thoroughgoing transformation of business intelligence (BI), data warehousing (DW), predictive analytics (PA), data mining (DM), business activity monitoring (BAM), complex event processing (CEP), and other key analytics technologies in the Teens:
- Self-service operational BI puts information workers in driver's seat: Enterprises have begun to adopt self-service BI to cut costs, unclog the analytics development backlog, and improve the velocity of practical insights. ...
- User-friendly predictive modeling comes to the information workplace: Predictive analytics can play a pivotal role in day-to-day business operations. ...
- Advanced analytics sinks deep roots in the data warehouse: Advanced analytics demands a high-performance data management infrastructure to handle data integration, statistical analysis, and other compute-intensive functions. ...
- Social network analysis bring powerful predictive analysis to the online economy: Before long, social networks will pervade all business and personal applications, including all mobile, broadband, and streaming media services.
- Low-cost data warehousing delivers fast analytics to the midmarket: Though enterprises can certainly do BI without a data warehouse, this critical infrastructure platform is essential for high-performance reporting, query, and analytics against large data sets. ...
- Data warehousing virtualizing into the cloud: ...
James Kobielus also blogs at blogs.forrester.com/business_process/inf-mgmt.xml.
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