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Italian Conference for the Traffic Police

TRAP 2017: Traffic Mining Applied to Police Activities pp 3–9Cite as

Data and Analytics Framework. How Public Sector Can Profit from Its Immense Asset, Data

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 728))

Abstract

Public sector is rich of data, but this alone is not enough to fully exploit insights and information hidden in it. Data needs to be coupled with a team of data scientists and engineers, a big data platform and a legislative framework to make the famous “data driven decision making” actually possible. This is why the Digital Transformation Team introduced the Data and Analytics Framework.

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Author information

Authors and Affiliations

  1. Digital Trasformation Team, Presidenza del Consiglio dei Ministri, Italian Government, Rome, Italy

    Raffaele Lillo

Authors
  1. Raffaele Lillo
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Correspondence to Raffaele Lillo .

Editor information

Editors and Affiliations

  1. Italian National Police, Rome, Italy

    Fabio Leuzzi

  2. University of Bari, Bari, Italy

    Stefano Ferilli

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Cite this paper

Lillo, R. (2018). Data and Analytics Framework. How Public Sector Can Profit from Its Immense Asset, Data. In: Leuzzi, F., Ferilli, S. (eds) Traffic Mining Applied to Police Activities. TRAP 2017. Advances in Intelligent Systems and Computing, vol 728. Springer, Cham. https://doi.org/10.1007/978-3-319-75608-0_1

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  • DOI: https://doi.org/10.1007/978-3-319-75608-0_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-75607-3

  • Online ISBN: 978-3-319-75608-0

  • eBook Packages: EngineeringEngineering (R0)

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