Insights: An Update of the USACE Data Strategy Initiative. November 2019 Edition

Abstract

The Data25 strategy was advanced in FY19 by the U.S. Army Corps of Engineers Chief Information Officer (USACE CIO) by funding pilots to show the power of data analytics on real USACE operations. This report details pilots that were conducted in three of USACEs Business Lines; Dredging, Hydropower, and Military Construction. The purposes for each of these pilots are listed below. 1. Enterprise value: Demonstrates the power of data analytics and its ability to generate business value by improving decision-making across the organization. 2. Technology value: Helps the CIO understand how cloud technology could support the overall data strategy. 3. Business value: Provides examples of data analytics in action. This view helps the Business Lines, Divisions, and Districts understand what it takes to supplement decision-making with insights generated from data. The main purpose of the pilots was to provide a glimpse of what could be gained from data analytics. From the initial business questions, the pilot Business Lines are seeking to use data to improve decisions through the automation of business processes, more rapid decision cycles, and the layering of previously siloed data on their own to reveal new insights.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2020
Accession Number
AD1106827

Entities

People

  • Andrew D. Strelzoff
  • Ashley N. Abraham
  • Cary D. Butler
  • James E. Ross
  • James M. Bailey
  • Martin C. Kittrell

Organizations

  • Engineer Research and Development Center

Tags

Communities of Interest

  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Human Systems

DTIC Thesaurus Topics

  • Algorithms
  • Army Corps Of Engineers
  • Artificial Intelligence
  • Cloud Computing
  • Contracts
  • Control Systems
  • Data Analysis
  • Data Management
  • Department Of Defense
  • Ecology
  • Engineers
  • Floods
  • Hydropower
  • Information Science
  • Information Systems
  • Natural Language Processing
  • Predictive Modeling

Fields of Study

  • Computer science

Readers

  • Coastal and Marine Engineering/Sediment Transport/Hydraulic Engineering
  • Defense Financial Management and Audit.
  • Systems Analysis and Design