This week we published a toolkit based on the Data and Analytics Infrastructure Model (formerly, the Data Management Infrastructure Model).
The toolkit builds on prior research Dating back to fall 2017 in which we:
- Introduced the Data and Analytics Infrastructure Model (see “Solve Your Data Challenges with the Data Management Infrastructure Model“)
- Contextualized it for Data Management Solutions for Analytics (DMSA) use cases (see “The Practical Logical Data Warehouse: A Strategic Plan for a Modern Data Management Solution for Analytics“)
Now we turn to practical applications with the Toolkit. (See “Toolkit: Map Your Data Management Landscape With the Data and Analytics Infrastructure Model“)
Along the way, we’ve built lots of interesting overlays that bring the model to life including:
- Business Intelligence
- Data Integration
- Data Science
- Data and Analytics Roles and Skills
- Operational DBMS
You can see some examples below:
I’m looking forward to continued collaboration with my Gartner colleagues as we progress and develop this model!