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    The State of Big Data and Talent Analytics 2019: Leverage analytics to radically improve talent management

    OCT 2019
    Today's HR leaders not only feel growing pressure to improve their departments but to demonstrate that improvement. HR leaders can make progress toward both goals by adeptly leveraging analytics and big data. But how well are most organizations performing in this area? And what do the best practices look like? To help answer these and other key questions, HR.com's HR Research Institute conducted this study. To learn how these outcomes and insights may apply to your organization, plus 10 key takeaways that you are able to apply right away, we invite you to download and read the report and infographic today.
    HR.com Big Data and Talent Analytics 2019 research

    To learn more, we invite you to download and read the research report and infographic today:

    HIGHLIGHTS FROM THE RESEARCH:

    Is Talent Analytics Working?

    Finding: Only 36% of HR professionals are good or very good at talent analytics. When it comes to the overall ability to use talent analytics, there are three basic segments (note that numbers do not add to 100% due to rounding):

    • those who say their ability is good/very good (37%)
    • those who say it is moderate (28%)
    • those who say it is poor/very poor (34%)

    This data suggests that, although high performance in the area of talent analytics is possible, it is not yet common. Therefore, we believe that high performers should be taking advantage of their expertise in this area and others should be scrambling to get up to speed.

    HR.com - The State of Big Data and Talent Analytics 2019 - Whitepaper

    What Kinds of Analytics Are Being Used?

    Finding: Compensation is the area most commonly cited as an important use of HR analytics.

    There is no question that analytics can play a role in almost every part of HR. However, it is more crucial in some functional areas than others. The top three areas are:

    • compensation
    • recruitment and selection
    • organizational development

    Not only are these areas important, they are also ones where it is relatively easy to get good internal data on which to base an analysis. For most organizations, these functional areas are a good place to start their HR analytics journey.

    HR.com - The State of Big Data and Talent Analytics 2019 - Whitepaper

    Does HR Have Big Data?

    Finding: Data collection, clean-up, and integration represent the biggest challenges. About half of HR professionals say that data collection and clean up are fairly or very difficult, and the same is true with regard to integration. These are important findings because people who are not directly involved in analytics often fail to appreciate these two areas, instead focusing on issues such as data analysis. Analytics experts, however, are well aware of how difficult it can be to integrate data from multiple sources so that it makes sense. When the integration doesn't go well, it often requires people to go in and "clean up" the data so it can be accurately analyzed. In contrast, it is viewed as relatively easy to actually distribute the data once analyzed.

    HR.com - The State of Big Data and Talent Analytics 2019 - Whitepaper
    To learn more about The 2019 State of Big Data and Talent Analytics survey and to get strategic outcomes and 10 key takeaways from this exclusive HR.com Research Institute research, please read the complete report and infographic here:

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