We help clients build and implement their data governance plans

We work with clients to choose and implement the right tech stack to ensure they have a strong governance solution​

For enterprises, Mapador works through a three-pronged approach:​

  1. We assess your current governance plan to understand struggles and opportunities​
  2. We develop a governance framework with best practices to deal with your challenges​
  3. We implement the required technology to execute a thorough data governance plan​

Once we've developed a best-practices governance framework together, we implement processes & technology based on best of breed solutions

data governance consultation

Good governance is the result of getting five key areas right​

Once we have developed a best-practices governance framework together, we implement processes & technology.  Tools should be:​

  • Automatable​
  • Refreshable​
  • Easy to implement​
  • User-friendly​
  • Cost-effective​

The industry has moved to a suite of best-in-class solutions away from a single technology

Cataloging & Classification

Fields, columns, tables and metadata

Accessibility & Usage

Build a data-informed culture where data leads to better decisions and action

Protection & Privacy

Tracking critical data elements (CDE) and personally identifiable information (PII)

Data Lifecycle

Sequence of stages that a data goes through from source to target

Data & Technical Architecture

How data is managed--from collection through to transformation, distribution, and consumption

use case

Top North American Bank

Stakeholders in the bank needed help with end-to-end lineage for governance across a complex system that DataStage, Oracle SQL, JCL, Cobol, Zeke, mLoad, fload, Teradata, amongst others. ​

Results:

Mapador helped structure the cataloguing and classification for 600k data columns and fed the results into the Collibra metadata management system. ​

“We benefit from data lineage information for Impact analysis. Having this information reduces work effort when estimating intake items, speeds up impact analysis activities at the beginning of a project, and the support teams can quickly find out who to notify and what jobs are impacted. Based on the Table File Lineage that Mapador has developed, a conservative estimate is that the TSAs would save 50 to 60% of their time.”
top canadian bank
Rated 5 out of 5