Dan Potter

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Three "Housekeeping" Trends Impacting Big Data and Analytics Strategies As the Big Data marketplace moves closer to a point of mass-maturity, business leaders have begun to take new approaches to implementation and utilization. Advanced analytics solutions have made their way into a range of industries and regions, and companies that successfully align these investments with core goals and requirements will enjoy more progressive improvements to operational sustainability, intelligence and general performance. However, there is some housekeeping that must be addressed as organizations embark on Big Data and analytics initiatives. Data preparation, information governance and security are three fundamental elements of effective analytics strategies, yet, ironically, each has been largely ignored by many organizations in the rush to realize the promise of Big Data. 1.... (more)

The Big Data Divide | @CloudExpo #BigData #IoT #IIoT #M2M #IternetOfThings

Within enterprises - and even small businesses - there are two distinct groups with differing goals, needs and objectives when it comes to business intelligence and analytics strategies. Business users are tasked with analyzing Big Data to help their companies make timely and more meaningful decisions, and as such, require immediate access to a wide variety of sources, including structured, semi-structured, unstructured and streaming data. On the other side of the house, IT professionals are tasked with storing and securing massive data stores, as well as ensuring regulatory co... (more)