Datric products

What Does Data Governance mean to you?

Data Governance is a work in progress both as a corporate discipline and even as a definition. What is data governance?

  • Risk management?
  • Data quality improvement?
  • Operational data management?
  • Business process management?

What is certain is that corporate data governance drives innovation through visibility of and control over data. To achieve data governance you must understand where data lives in your organization and how this data relates to the enterprise. Through this understanding you can open up tremendously powerful value:

  • Wider data access to drive innovative/creative analytics
  • More data… and more data faster
  • Data at any granularity, in any format, and with any hierarchy
  • Data that is enterprise-sourced and adheres to enterprise standards
True Data Governance Requires Understanding

It is not enough to know technical details of data. Indeed for a data governance foundation it is more important to understand the business details of the data:

  • What does the data mean to business users of the application?
  • How does this data relate to the enterprise business understanding of data?

Without understanding the business use of applications both from the application standpoint and the enterprise standpoint it is impossible to create an effective, comprehensive data governance program. How can you know your risks or improve data quality without knowing what the data means? How can you affect operation data management or improve business processes without understanding how data is used between teams and applications?

Agile Data Suite combines business and technical details to allow you to answer all of these questions and achieve true data governance.

Agile Data Suite provides the critical understanding you need to create a true data governance program:
  • Understanding data requires both an application specific perspective and an enterprise perspective
  • These perspectives must align the business with technology
    • Technical Metadata (data type, field length, etc.)
    • Business Metadata (definitions, ontology, etc.)
    • Operational Metadata (usage patterns, etc.)
  • Business intelligence gains efficiency and accuracy from using this understanding in the design phase
  • Accurate analytics and reporting flows from understanding data and accurate design

For more information on these and other Datric products and services, please contact us