The primary objective of big data analytics is to help businesses make better company choices by making it possible for information researchers and various other customers to assess huge volumes of data along with various other data sources that could be left untapped by traditional company intelligence (BI) programs. These various other information sources may consist of Web clickstream data and social networking sites. Big data analytics can be done with software tools frequently utilized as part of analytics such as data mining. The technologies associated with big data analytics are primarily NoSQL data sources, Hadoop and MapReduce. These modern technologies form the core of an open source software program framework that sustains the processing of big data.
How do collaborative dashboards enable insights?
Collaborative Dashboards bring visualization tools, smart user interfaces and data aggregation across the systems with powerful collaboration through web 2.0 technologies. Combining traditional dashboards with features such as comments, discussions, chats and wikis allows decision makers to collaboratively drill down to the root cause and take appropriate action in a timely manner.
One can make the dashboard more effective by adding more features and available data such as operational insights for the dashboard to be an effective management tool. The biggest advantage of a collaborative dashboard is that the communications regarding a performance metric can be consolidated and associated with the metric in question and provides a ready contextual reference for all to see. TechTrendsIT leading Collaboration Dashboard Services provider offers end-to-end services from conception, prototyping, user experience, solution roadmap, development, testing and implementation bringing together its U-Combinators™ approach that combines accelerators, enablers and tools and right skilled resources for a rapid deployment and quicker time-to-benefit.
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