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Data Analytics

Data Analytics (DA) is the science of examining raw data with the purpose of drawing conclusions about that information. Data analytics is used in many industries to allow companies and organization to make better business decisions and in the sciences to verify or disprove existing models or theories. Data analytics is distinguished from data mining by the scope, purpose and focus of the analysis. Data miners sort through huge data sets using sophisticated software to identify undiscovered patterns and establish hidden relationships. Data analytics focuses on inference, the process of deriving a conclusion based solely on what is already known by the researcher.


Big data analytics examines large amounts of data to uncover hidden patterns, correlations and other insights. With today’s technology, it’s possible to analyze the data and get answers from it almost immediately an effort that’s slower and less efficient with more traditional business intelligence solutions.


Make data a competitive advantage and turn department information sources into synchronized ones with comprehensive business intelligence tools and innovative integration capabilities. Industry-specific analytics, robust reporting capabilities, personalized dashboards, and workflows and alerts can all be accessed from your mobile device, with changes synced automatically to your desktop.


The organization will be able to transform information into actionable insights. The organization gets a real-time view of performance across your business, speed decision making, and unlock the potential of data silos between different enterprise applications. The proven business applications, delivers major enhancements to analytics, like new data visualization capabilities, the ability to build custom mobile dashboards, and expanded access to user-friendly tools that put the power of analytics directly into the hands of end users.

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