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    Big data—massive amounts of unstructured data—has remarkable value in it. But you need to find it first. Through data management and other technology like analytics tools, companies can not only find, but move the needle in the big data haystack.

    There’s no doubt that companies have benefited tremendously from business intelligence (BI) applications. BI has enabled companies to spot emerging trends, identify new markets, enhance reporting, serve customers more effectively and improve operational efficiencies.
    Recently though, BI solutions have had a hard time adapting to the information explosion that companies have experienced. Attempting to stuff massive volumes of data into the structure required by traditional BI systems is inefficient, expensive and time consuming.
    What’s more, systems have become more complex and difficult to use, limiting the types of insights that can be generated in a reasonable time frame. Big data solutions, which can efficiently handle large volumes of data, can also require people with a specific and hard-to-find skill set in order to get results. We call it the dashboard revolution; no waiting time, no compiling, no uploading, everything is “hot & ready”.

    As a result, many companies have avoided implementing more advanced BI or next-generation big data solutions because there is a perception — real or imagined — that they take too much time and are too hard to use to justify the expense involved in implementation.
    But avoiding the change means that companies are missing out on opportunities to gain new insights that can radically transform their business. The next generation of BI systems, commonly referred to as big data, offers a huge leap forward in capabilities and features. Big data and analytics can help companies ask sophisticated, forward-looking questions that make new connections between seemingly unrelated trends. Big data and analytics can power new types of applications that provide real-time feedback, putting insights directly into the hands of people who can use that information.

    Why THIMPL strategy ?
    THIMPL strategy offer you a unique combination of experiences of big data assessment to focus on value added and a global capability to help you defining your big data strategy. You have already centralized, it is now time for unifying.

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