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Data Intelligence is the action of scrutinizing data to materialize decisive forms of information which will be used by organizations to amplify their services to new efficient levels. Data intelligence comprises of interpreting the data relating to the functioning of a company and arriving at technological policies which will ensure better decision making. Complex event processing, key business executions and online analytics form the biggest chunks of data stored by any organization for review.  Data Intelligence focuses on comprehending these data for future undertakings.

Data intelligence forms a collateral relationship with business intelligence and they are vital for each other’s execution.  Even though both lie in the same vertical, the two processes are entirely different. Business Intelligence or BI is used by the organizations to analyze data to make business decisions. Data intelligence is inspecting the internal data of a company for trends which will help in building better decision for future. Data intelligence can be precisely viewed as an operation of asking questions which leads to business intelligence. In brief Data Intelligence or DI and Business Intelligence or BI involves organizing data for better business practices.

Many enterprises have started using data intelligence to expand their services and investments. This includes collecting even online data regarding customers on different social media and e-commerce platforms. Organizations use this data to regulate the behavior of customers and ensure they keep reaching back. It has raised serious privacy alerts as customers do not want their private online activity to be monitored. But still data intelligence has largely been relevant for its multitude of advantages it offers. 

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Data Center Infrastructure Management Enables You to Maximize IT Infrastructure Value

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Today, the challenge for many organizations is that the variety of data needed for many innovative analyses is often locked away within other functional areas. Even with the inherent value in traditional customer applications, presently most compelling insights are actually derived by combining multiple different types of disparate data. This whitepaper focuses specifically on the sales...

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White Paper By: DataFactZ Solutions

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The advent of open‐source technologies fueled big data initiatives with the intent to materialize new business models.  The goal of big data projects often revolves around solving problems in addition to helping drive ROI and value across a business unit or entire organization. It’s often difficult to launch a big data project quickly due to competing business priorities; the...

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In the publishing industry, the rise of technology has extended beyond publishers simply digitizing content for those readers who prefer ebooks or online learning systems to print—forcing businesses to adapt their processes and products to accommodate new customer demand. In this new age, technology has allowed for many of these processes to be streamlined or automated, allowing for...

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