Information Management | KPMG | BE

Information Management

Information Management

How do you successfully manage data?

How do you successfully manage data?

How do you effectively transform data on a consistent basis into information which can provide actionable intelligence for an organization? How do you guarantee the reliability of the information produced by your organization? Is your organization able to cope with existing and upcoming data-intensive regulations?

KPMG believes proper Information Management is key to effectively answer those questions.

Information Management, as a discipline, broadly refers to the set of people, processes, and technologies supporting the creation, collection, storage, exploitation and disposal of information assets.

Driven by the need for qualitative and reliable data and information to bring their reporting and analytics initiatives to a next level, or pushed by regulatory and compliance rules (like BCBS239, AnaCredit or Basel III for banks and Solvency II for insurance companies), we are noticing an increasing interest for companies to properly manage their data and information assets.

However, this does not come easy. Businesses are facing many challenges when it comes to managing their data and information assets, including:

  • Not precisely knowing which data you need and which data you have;
  • Not treating data as a corporate asset;
  • Having troubles in solving data or reporting related requests, issues and escalations paths;
  • Not knowing who is responsible or accountable for which data (“Data & Information Ownership”);
  • Doubting on which kind of organization to put in place to guarantee appropriate Data & Information Governance
  • Lacking of a clear vision for Information Management (data strategy, policies and standards) 
  • Not knowing if our information management practice comply with regulatory requirements nor whether it is future-proof
  • Not knowing where and how our information is stored and how it flows through the organization 
  • Having no metrics to measure the quality of our data.
  • Feeling lost in the identification, selection and/or integration of appropriate data (quality) management tools and platforms (amongst all data-related tools and platforms proposed on the market…)
  • Lacking information management experts or related capabilities
  • Not knowing how to prioritize the “data” initiatives

 

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