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Video: Data Conversations Over Coffee with Kaizer Manasoe

Written by Craig Steward

Video: Data Conversations Over Coffee with Kaizer Manasoe

Written by Craig Steward on Jun 25, 2020 10:22:02 AM

Data and Analytics

This is the second episode in a short series promoting the data management profession.


Kaizer is a Board Member at DAMA SA as well as a Certified Data Management Professional (CDMP). However, his day job is that of Head of Master Data, Reference Data & Metadata Management at Standard Bank. So he's actively working in the data management space. 

In the episode Kaizer talks about the value of an institute like DAMA SA that offers continuous learning and development for data management professionals. And he gives me a detailed view on how someone can achieve their CDMP certification and why they should do this. 

A highlight for me was Kaizer's involvement in the data management side as well as the analytics side of the business. It's important for people going into data management to realise that they will have exposure to the perceived "fun stuff" too.


DataCon Africa: Live is a 100% virtual conference and will connect Africa's most progressive data analytics leaders with the world's most forward-thinking solution providers, set against a backdrop of cutting-edge content that you cannot find anywhere else. At home, in the office or on the road.


Data Quality Training Online 

About the Course

In an age where data analytics is used to drive decision making across every facet of a business ensuring the quality of your data is paramount to your organisation's success. The adage "garbage in, garbage out" may be cliched but it describes, perfectly, the critical importance of high quality data being fed into sophisticated models. 

Corinium has partnered with InfoBluePrint to bring you the most comprehensive data quality management course delivered through a state-of-the-art webinar platform. 

The course structure is 8 modules spread over 4 days by our leading trainers - Diana Joseph and Joe Newbert. The 8 modules are:

  1. Data Quality Awareness
  2. Data Quality in Context
  3. Data Assessment
  4. Business & User Requirements
  5. Data Measurement
  6. Data Correction
  7. Problem Prevention
  8. Context of Data Management





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