Data maturity model

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This model—based on the Capability Maturity Model pioneered by the U. Department of […]. Department of Defense for improving software development processes—allows an organization to evaluate its current-state Data Management capabilities, discover gaps to remediate, and identify strengths to leverage. In doing so, this assessment method reveals organizational priorities, business needs, and a clear path for rapid process improvements. As a practicing data consultant, author, and researcher, he has been actively performing and studying DM for more than 30 years. He has held leadership positions and consulted with more than 75 organizations in 21 countries across numerous industries, including defense, banking, healthcare, telecommunications, and manufacturing.
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A trusting partnership between IT and the business builds data maturity and accelerates the journey from data to decision. Big Data Maturity Models (BDMM) are the artefacts used to measure Big Data maturity. These models help organizations to create structure around their Big.
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Markus Sprenger recently wrote about the data maturity model: Sprenger goes on to examine the five stages of data maturity, starting with No Usable Data: Stage two is Big Data:

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As data continues to grow exponentially, business leaders have access to more raw performance data than ever before. However, many organizations have no idea how to harness the power of data for their business. The DMM Program provides the best practices roadmap and services to help organizations build, improve, and measure their enterprise data management function and staff.
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Comments
  •   Felicious 11.02.2019 at 09:53

    Additionally, BDMMs measure and manage the speed of both the progress and adoption of big data programs in the organization.

    +128 -12
  •   Grace Deng 07.02.2019 at 07:44

    Big Data is not a technology.

    +270 -12
  •   Be A Robin 04.02.2019 at 18:21

    Business transformation through data is difficult.

    +26 -9
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