Edit Current Layout

      BUILDING SUCCESSFUL DATA GOVERNANCE FRAMEWORKS

      Default Author • Oct 21, 2021

      Data governance frameworks create a single set of rules and processes for collecting, storing and using data. The key objective of data governance is to generate the greatest possible return on data, capturing critical opportunities to leverage data assets while avoiding the risks of exposing them. When developing and analysing your governance frameworks it’s important to consider:


      1. People - Are your people committed to data governance? Have you formally defined their roles and responsibilities? Do they have the necessary skills?


      2. Processes - Are your data definitions, rules, and goals realistic and appropriate? 


      3. Contributors: Have you engaged your team of business and IT subject matter experts who can help provide necessary context?


      4. Technology - Do you have the platforms, tools, and subject matter expertise necessary to enable a sound data governance process?


      Where are you on your data journey? Contact us for your free consultation today.

      Tag :-  Data, Data governance

      These Posts are Suggested For You

      30 Apr, 2024
      In the modern business landscape, data has emerged as one of the most critical assets for organisations aiming to achieve operational excellence and drive sustainable growth. However, the quality of the data that organisations use can be the difference between success and failure. Bad data—data that is inaccurate, incomplete, or outdated—can severely undermine your strategic initiatives and business operations. Is Bad Data Holding Your Business Back? Let's explore how bad data could be impacting your business and what you can do about it. 
      17 Apr, 2024
      In the rapidly evolving realm of technology, Artificial Intelligence (AI) emerges as a transformative force, reshaping our world. As seasoned enthusiasts and professionals in the tech industry, we've witnessed firsthand the extraordinary strides AI has made. Yet, with these advancements comes a significant responsibility – safeguarding the privacy and security of the data AI relies on.
      17 Apr, 2024
      In the dynamic world of AI, data integration stands as the linchpin for success, transforming raw data into strategic insights. For CIOs, CTOs, and CDOs navigating the complexities of digital transformation, our recent retail case study in Sydney unveils a blueprint for leveraging data integration to drive operational efficiencies, enhance competitive advantage, deliver meaningful customer experiences, and improve the bottom line.
      MORE POSTS
      Share by: