Skip to main content

Empowering the Defense Acquisition Workforce to Improve Mission Outcomes Using Data Science (2021) / Chapter Skim
Currently Skimming:

Summary
Pages 1-5

The Chapter Skim interface presents what we've algorithmically identified as the most significant single chunk of text within every page in the chapter.
Select key terms on the right to highlight them within pages of the chapter.


From page 1...
... Those outcomes include improvements in missions, portfolios of capabilities, and the schedules, costs, and performance of acquired systems for net improvements to warfighters, operators, and supporting organizations. Using data science to support decision making is not new to the defense acquisition community; its use by the acquisition workforce has enabled acquisition and thus defense successes for decades.
Read the entire page →
From page 2...
... Also, data silos can hinder shared data across DoD and are a common obstacle preventing the utilization of the full potential of the data life cycle. The vision and oppor­ tunity for data science in the defense acquisition system is one in which data collection and use is not a support function but is integrated into all acquisition processes.
Read the entire page →
From page 3...
... Recommendation 5.2: The Department of Defense should prioritize the utilization of data and the data life cycle by appropriate and judicious investment in the acquisition workforce data science mindset, skillset, and toolset. Data Literacy Skills Are Important Throughout the Acquisition Workforce DoD and its components should ensure that all members of the acquisition workforce have at least basic (non-technical)
Read the entire page →
From page 4...
... Finding 5.6: Executing the data life cycle is a collaborative endeavor and generally requires a collective skillset found in teams of data engi­ neers, data scientists, data analysts, data users, domain experts, and leaders/decision makers. Diverse, Tailored, and Situated Training Models Can Increase Data Capabilities and Outcomes in the Acquisition Workforce development in data science is critical to the success of DoD's current and future acquisition improvement efforts.
Read the entire page →
From page 5...
... , analysis, and consump tion but also the workforce that facilitates these functions and is central to the data life cycle. Trade­offs and investment limitations abound, so a strategic plan is critical to guiding and ensuring prioritized investments to maximize payoff.
Read the entire page →

Key Terms

  • data life
  • acquisition workforce
  • defense acquisition
  • science training
  • data scientists

  • acquisition processes
  • science skills
  • training efforts
  • data users
  • data engineers

  • data capabilities
  • data analysts
  • understand data
  • improve acquisition
  • science mindset

  • improving defense
  • continue improving
  • collaborative endeavor
  • domain experts
  • acquisition data

  • workforce data
  • data literacy
  • relevant data
  • sustained data
  • realistic data

  • called data
  • optimize data
  • data silos
  • using data
  • shared data


    • This material may be derived from roughly machine-read images, and so is provided only to facilitate research.
    More information on Chapter Skim is available.