Extract the most business value from data using Data Mesh

Dr. Marian Siwiak, the Chief Data Science Officer at Cognition Shared Solutions LLC, a consulting company providing business process streamlining and alignment with data and risk joins Enterprise Radio.

Pay attention to host Eric Dye & guest Dr. Marian Siwiak discuss the following:

  1. There are numerous architectures aimed at efficient data management – Data Warehouses, Data Lakes, or recently Data Fabric. What makes you believe we should have another one? 
  2. Why do you think it’s business people who should learn about how data is managed? Isn’t it within the scope of IT departments?
  3. You mentioned the term “socio-technological paradigm”. Can you please explain exactly what you mean?
  4. In your book “Data Mesh in Action”, you use a case study of a local company offering snow shoveling to homeowners. Are small-scale cases of Data Mesh feasible? Or is this more a business-scale solution for larger projects?
  5. It would take a lot of resources and investment to implement this, I think. How do you persuade a board member or the company’s management to fund Data Mesh investment?
  6. Data owners and managers need to know where to start when they are looking for Data Mesh implementations in their companies. It will require large scale transformation or could it be implemented as a pilot project?

Dr. Marian Siwiak has a Ph.D. in theoretical molecular biophysics and is the data scientist behind the world’s first published COVID global spread model. After holding lecturing posts at many universities, he moved into business and data science. He has worked as a consultant for Fortune 500 firms, SMEs and the public sector. His expertise covers projects and data in many disciplines including finance and retail as well as manufacturing and heart surgery. Recently he co-authored the book “Data Mesh in Action”, published by Manning.

Site: https://cog-shared.com

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Social Media Links:
Twitter: https://twitter.com/CognitionLlc
Linkedin: https://linkedin.com/company/cog-shared

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Enterprise Podcast Network – EPN published the post Data Mesh: Extracting maximum business value out of data

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