Prediction: Talent acquisition will use AI and predictive data to become truly embedded in the business


Posted by Denise Moulton on December 5, 2018.

For several years, talent acquisition (TA) has been emerging from its silo of filling headcount to become part of an overarching talent strategy. In 2019, we expect record-low unemployment rates and a demand for niche skills to hasten that transformation and make the TA function a critical player in ensuring that organizations have the talent they need to be productive. This means more than improving TA strategies, enhancing relationships with hiring teams, or becoming data-driven. A substantial shift in behaviors, capabilities, and business integration will fuel TA in those organizations keen to embrace the possibilities.

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Prediction: People analytics will augment the workforce and the workplace


Posted by Kathi Enderes on December 4, 2018.

Ninety percent of the data in the world has been created within the last two years alone, and the continued emergence of new technologies will likely increase that rate even more. HR leaders have been attempting for years to use people analytics to turn this vast amount of data into actionable insights, but many still struggle with how and where to apply people analytics to maximize the return on investment. In the coming year, more and more organizations will start to apply people analytics in a new way, with a direct focus on the individual, rather than through HR or leaders—a bottom-up approach, as opposed to just top-down.

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Using people analytics to improve health care performance

Using people analytics to improve health care performance

Posted by Brian Augustian on August 18, 2017.

Health care providers tend to lag other industries in the adoption of new business processes and technologies, and we find this to be consistent in the industry’s use of big data and analytics to improve organization performance. This is likely due to a number of factors, including the nature of health care work, tight financial margins and limited funds, and historically conservative cultures. Yet, the successful use of data analytics in other industries could indicate that it’s time for health care systems to up their game.

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Standing up a data analytics organization:

Where to start?

Standing up a data analytics organization: Where to start?

Posted by Jordan Wiggins, Don Miller and Jennifer Baldwin Koger on May 14, 2015.

Data analytics, the science of examining raw data (coming from anywhere internally or externally) with the purpose of drawing conclusions about that information, has been a hot topic for several years. Many companies are racing to develop analytics organizations and resources within their company. Others are tentative, uncertain whether the effort will yield measurable impact, actionable results, and actual benefits.

For most companies, the first challenge of data analytics is determining where to focus to generate specific insights, given a wealth of available data. Many case studies show how a particular function delivered well-applied analytics science to the business, but what does it take to build this capability and organization? Here are four ideas to get started.

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