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Decision-making skills have to be in place before a team can get value out of data. This individual is responsible for identifying decisions worth making with data, framing them (everything from designing metrics to calling the shots on statistical assumptions), and determining the required level of analytical rigor based on potential impact on ...

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CHICAGO — "Statistics and Reports: Data-Driven Decision-Making," an Annual Conference Preconference from the Association for Library Collections and Technical Services (ALCTS), explores the options for making more decisions based on discoverable statistics and reports.

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There is data-driven marketing, data-driven programming, there are data-driven businesses, and so on. It becomes apparent that data-driven is not just about technology; it is rather a mindset. Data, not a functionality, is placed in the center. Data-driven simply means that decisions are made based on data.

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Google’s use of People Analytics for Effective Decision Making. In an article published in TLNT, Dr John Sullivan, an internationally known HR thought-leader, lists some of Google’s past and current data-driven people management practices.

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Jun 14, 2018 · Marketers are making some, but not much, progress on the customer experience. They’re focused on making it more data-driven and personalized, but few can deliver this type of experience across channels. Marketers are continuing to invest in technology, though most still lack a single view of the customer.

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Leading organizations are treating data as a strategic asset and putting processes and systems in place that help healthcare professionals improve decision-making and drive actionable results. This paper discusses the value that data and analytics provide, and gives examples of organizations that are already leveraging a wide range of big data ... Data-driven decision-making is always useful, but in the midst of the Great Recession, we absolutely had to do more with less. In order to drive efficiency and make the right decisions for citizens, we needed to understand which services were the most valuable.

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