Data life cycle management (DLM) is a policy-based approach to managing the flow of an information system’s data throughout its life cycle: from creation and initial storage to the time when it becomes obsolete and is deleted. DLM products automate the processes involved, typically organizing data into separate tiers according to specified policies, and automating data migration from one tier to another based on those criteria. (Source: techtarget.com)
About Tony Fisher:
Tony Fisher joined DataFlux as president and CEO in 2000. In his years at DataFlux, he has guided the company through tremendous growth as DataFlux became a market-leading provider of data quality and data integration solutions. Tony is also a featured speaker and author about emerging trends in data quality, data integration and master data management, and how better management of data leads to business optimization. Prior to DataFlux, he was the technology director at SAS. Tony is a native of North Carolina and earned a degree in computer science and mathematics from Duke University.
Joshua is working to become a Data Scientist with focus on Analytics, Big Data, Machine Learning, and Statistics. His passion for Data and Information are second to none. He is a certified IBM Cognos Expert with more than 10 years experience in Business Intelligence & Data Warehousing, Analtyics, IT Management, Software Engineering and Supply Chain Performance Management with Fortune 500 companies. He has specializations in Analytics, Mobile Reporting, Performance Management, and Business Analysis.
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