This week, we were very proud to announce our very first "free-for-ever" Data Management Advisory App for Data Management Maturity Assessment.

After many years and DMMA engagements using excel, we decided to automate this assessment because it is essential to organizations, takes a lot of time, and should be business as usual.

As Data Governance professionals, we have to mature our DMMA practice, including making it available and usable by our Data Citizens.

One of our goals is to provide training, straightforward definitions and examples for all the DMBOK Activities and Deliverables to enable the Data Citizens to perform a DMMA.

DAMA (Data Management Association) Southern Africa, Modelware Systems Systems (Howard Diesel), and dataGambit Pty. (Ltd.) (Paul Grobler & Philip) have been using this app in our classes and engagements for the last month, and it is now ready for you to use.

We will be extending it to handle Professional Data Management Maturity assessments:

The measures will be:
1. What Knowledge & Skills have you Acquired (current maturity level)?

2. What Knowledge & Skills do you Require to perform a job role (required maturity level)?

3. What Knowledge & Skills do you Desire for your Career (target maturity level)?

Power to our Data Citizens!

00:00:00 African Data Management Community Forum 2022-02-10
00:03:05 Meeting Discussions about Training and Data Governance
00:06:04 Maturity Assessment and Data Architecture
00:09:05 Data Management Maturity Assessment
00:12:28 Readiness Assessment and Maturity Models
00:15:25 Data Architecture Assessment
00:18:41 Importance of Readiness Assessments in Achieving Goals
00:22:07 Importance of Stakeholder Involvement in Data Architecture Training
00:24:38 The Role of Data Citizens in Data Architecture
00:28:05 The Importance of Data Architecture and Training Processes in Achieving Business Agility
00:31:12 Importance of Semantics and Data Architecture
00:34:23 Levels of Deliverable Management and Training
00:37:02 Structure and Benefits of the Enterprise Data Model
00:40:20 Data Modeling and Data Flow
00:43:18 Data Flows and Data Lineage
00:46:06 Data Value Chain and Data as a Service
00:48:50 Data Management and Maturity Assessment Training
00:52:55 Discussion on the Challenges of Implementing Reference Architectures and the Importance of Examples in Understanding Processes
00:56:04 Different Approaches to Data Storage and Knowledge Graphs
00:59:29 Howard Diesel's Thanks and Farewell

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