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ABSTRACT:
Although data analysis techniques such as data profiling and metadata discovery will still be applied to static data sets, the future of business intelligence requires coordinating a synchronized master repository that equally supports ongoing operations as well as feeding analytics, and that will depend on inlined data quality services such as parsing, standardization, and normalization. Searching and matching techniques are already incorporated within both the operational and the maintenance aspects of MDM, and identity resolution services will continue to be streamlined for embedability. The data quality service components will become robust and scalable to coordinate inspection and resolution of large data streams, both structured and unstructured, flowing simultaneously throughout, and reporting on the performance of multiple business processes.
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AUTHOR:
David Loshin
President, Knowledge Integrity, Inc.
David Loshin is the president of Knowledge Integrity, Inc., a consulting and development company focused on customized information management solutions, including information-quality solutions consulting, information-quality training and business-rules solutions. Loshin is the author of Enterprise Knowledge Management-The Data Quality Approach and Business Intelligence-The Savvy Manager's Guide, and is a frequent speaker on maximizing the value of information.
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