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    Editor's Pick (1 - 4 of 8)
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    How Have Recent Advancements in Big Data Been Impacting Businesses?

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    Refining Business Strategies with Big Data Analytics

    By Apac CIO Outlook | Monday, December 03, 2018
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    Successful companies rely on big data analytics and not their intuition to continuously understand, measure and improve their services and solutions. By refining the business strategies with data analytics in these five core business areas, companies can streamline their operations better; connect with right target audience and build solutions that can help them gain a competitive edge over their competition.

    Improving the process:

    The data of a company’s business invariably exposes many inefficiencies and opportunities. Resource usage scheme, scheduling and process fulfillment are few of the areas that can largely benefit from big data analysis.

    Use Data to Build Better Products

    Big data can be used beyond just creating efficiencies in business processes. Using big data to gain insight into the market, trends and customer desires, and fine-tuning the company’s current product offerings is another area that greatly serves the company’s mission, direction and wellbeing.

    Intelligent Marketing

    With the help of powerful analytical tools, companies can track levels of consumer engagement, test and drop campaigns, platforms, ads, text or photos that don’t perform well.

    Data Helps you Retain Your Clients

    It costs five times more to gain a new customer than to retain an existing one. Companies can reduce customer turnovers by planning regular touch-points to seek out feedback from them. Also they can use the data to incorporate personalization and create a feeling of connection with their customers.

    Human Capital Management

    When it comes to improving employee retention as well, use of big data analytics can be of great help. While big data analytics have been touted as an exceptional way to identify the right skills for the job, they run the risk of reducing employees to a list of traits and achievements, alienating potential talent that needs a human point of contact. Using data and behavioral analytics, HR can effectively solve these problems as well.

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