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Strengthening Data Science Methods for Department of Defense Personnel and Readiness Missions (2017) / Chapter Skim
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6 Commercial State of the Art in Human Resources Analytics
Pages 92-98

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From page 92...
... The committee's examination of commercial-sector human resource analytics had two parts: products and practice. For products, the committee heard from a sampling of companies offering personnel analytics products (also called talent analytics or workforce analytics)
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From page 93...
... The following sections describe some of the commercially available products and some of the HR analytics practices being employed in large companies. PRODUCTS From what the committee observed, current personnel analytics tools do not seem a good match for DoD needs, for at least a couple reasons.
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From page 94...
... This strategy may make sense for some DoD applications, where having a single server with data and analytic tools that can be accessed remotely and where security and privacy can be managed appropriately could reduce the cost of tool and data support relative to a mode of operation where analysts download data and install tools locally. Another strategy the committee learned about from vendors is to have a common software platform that deals with functionality that all the tools from various products can use such as data storage and the user interface.
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From page 95...
... managers, setting family leave policy, challenging common knowledge within the organization, determining the key factors that affect retention, studying how patterns of communication affect unit performance, and charting effective career paths. The increasing ease with which personnel data can be archived across time has allowed more longitudinal studies to identify the most reliable indicators of employee behavior.
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From page 96...
... A data scientist might extract and prepare the data and run the appropriate analyses, which would be interpreted by the domain expert and then be communicated back, perhaps through the MBA, to the HR client group. Communication The committee observed the importance of putting analysis results in a form that an end user can understand.
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From page 97...
... The committee observed the need for substantial foundational work within the organization on what data mean. In one case, for example, simply coming up with a uniform definition of "full-time equivalent" took over a year of discussion among business units (engineering, sales, finance, etc.)
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From page 98...
... 2007. An evaluation of triple-store technologies for large data stores.
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Key Terms

  • data analytics
  • commercial state
  • analytics products
  • cornerstone ondemand
  • current personnel

  • committee learned
  • career paths
  • common knowledge
  • project oxygen
  • time accrued

  • conditions considered
  • civil service
  • oxygen started
  • external sources
  • job candidates

  • performance reviews
  • support relative
  • accessed remotely
  • profile studies
  • users try

  • analytic results
  • intel found
  • enterprise resource
  • accurately predict
  • various service

  • getting past
  • multiple employments
  • people analytics
  • products easier
  • charting effective


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