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Data integrity in the power and utilities industry: Whats the fix - Ernst & Young - Global

Data integrity in the power and utilities industry

What’s the fix?

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Utilities should start by analyzing risk to develop a strategy that allows for traceable, verifiable and complete records. Risk remediation strategies and process improvements follow to build a stabilized, sustainable records management program.

The following principles constitute some leading practices in records management:

  • Obtain executive support
    Educating stakeholders about policies, procedures and best practices takes time, but once it is done, senior executives will better understand why records management is important.
  • Define a records management approach
    Many power and utilities companies are streamlining their records to make policies and processes more user-friendly and to migrate from programs originally designed to manage paper records.
  • Create clear retention and disposal policies
    A clear records management policy can speed up discovery and lower costs by reducing the volume of records the organization must maintain and imposing consistent rules governing retention and disposition.
  • Stay on top of regulatory requirements
    Power and utilities companies must keep close track of new regulations that could affect their records management programs.
  • Monitor compliance and measure performance
    Monitoring determines how much an organization adheres to its own policies; performance measurement evaluates how well a records management program helps the organization achieve its objectives.
  • Choose the right technology tools
    A good IT infrastructure increases retrieval efficiency and enhances organizational search capabilities.


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Answers to your questions, at a glance

5: insights for executives series asks five questions to get to the core of an issue – and answers them at a glance.
Find the gaps in your infrastructure records

Find the gaps in your infrastructure records

Ask yourself two fundamental questions to uncover the errors and omissions in your historic data that could put you at risk for penalties, fines and liabilities.


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