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CP401  A Framework for Improving Telemetry Data Quality Business Planning
Project appreciation and objectives

Telemetry systems are evolving into core business systems that enable more efficient, proactive, real-time operational management and improved customer service. Telemetry increasingly provides key inputs to work and asset management and other corporate applications.

However, the nature and scale of water industry telemetry systems presents particular data quality challenges and there is widespread concern that data quality is not always fit for purpose. There is often a disparity between the investment made in integrating telemetry data into the business and ensuring that the level of quality can support all intended uses. Poor data quality can hinder or even preclude the efficiency gains being sought.

Benefits to clients

  • Maximise value from telemetry data through a better understanding of data quality issues and activities across the industry, the real impacts of poor data quality and where investment should be focused.
  • Clear, evidence-based guidelines for improving and managing telemetry data quality.
  • Contribute to improved performance of operational tools (e.g. alarm systems, models) and more effective business decisions and actions from better quality information.

Work Programme

A structured, high-level review providing comprehensive coverage of all relevant aspects in sufficient detail, this project will:

  • Develop a basis to understand data/information quality, including vocabulary and definitions and requirements for metadata, with reference to relevant standards.
  • Identify current perceptions and experience of data quality issues, root causes and consequences.
  • Review current and planned business organisation, systems and processes, uses of telemetry data and quality requirements.
  • Assess current telemetry data management and data quality assurance policies, strategies and practices and identify strengths, weaknesses and gaps.
  • Identify methods for checking and assessing telemetry data quality including current and potential future technology solutions, and requirements for ongoing monitoring and metrics.
  • Identify approaches to dealing with poor quality/uncertain or missing data.

Project Outputs

  • A comprehensive report including:
    • Current state within participating companies, highlighting good practice, shortcomings and gaps.
    • Good practice guidance for implementing an effective telemetry data quality management strategy.
    • Identification of quick wins plus a roadmap for continuous improvements including aspects requiring more in-depth investigation.

  • Liaison Group meetings/workshops to agree the scope, review initial findings and final dissemination.

Related Work

  • Water Industry Alarm Systems Improvement Group, CP321a, 2009/10.
  • Creating Value from Data, CP381, 2009.
  • Improving Alarm Systems in Water Treatment, CP321, 2007/8
  • Real Time Data for Asset Management, CP295, 2006/7
  • UKWIR project WW21 on Data Flagging for Sewage Treatment Works Flows, 2008.

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