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By Neil Raden, Founder, Hired Brains Research
Businesses are ramping up their ability to analyze data. But the practice of “analytics” is hindered by legacy approaches to gathering and modeling data. Embedding analytical processing inside the database is one way to supercharge data warehouse performance to handle mixed workloads like interactive analytics, operational, or predictive. But is that really enough?
Effective, iterative, analytics in organizations are an ongoing process, not ad hoc exercises. Good work is done by a single analyst using advanced descriptive, predictive and optimizing quantitative methods, but this is just the beginning. For these efforts to pay off, analytical models must be woven into a series of steps where they become production artifacts. This requires a whole set of capabilities far beyond those found in standalone statistical modeling packages. |
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Areas in your business where you can apply advanced analytics |
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Considerations for choosing the right analytic platform |
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The difference between traditional and advanced in-database analytics |
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Keeping up with hardware as processing power increases according to Moore's law |
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About the author:
Neil Raden is an active consultant and widely published author and speaker and also the founder of Hired Brains, Inc., http://www.hiredbrains.com. Hired Brains provides consulting, systems integration and implementation services in Business Intelligence, Decision Automation and Advanced Analytics for clients worldwide. Hired Brains Research provides consulting, market research, product marketing and advisory services to the software industry
Neil was a contributing author to one of the first (1995) books on designing data warehouses and he is more recently the co-author with James Taylor of Smart (Enough) Systems: How to Deliver Competitive Advantage by Automating Hidden Decisions, Prentice-Hall, 2007. He welcomes your comments at nraden@hiredbrains.com or at his blog at Intelligent Enterprise magazine at http://www.intelligententerprise.com/blog/nraden.html.
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