Digging Into Data Governance and Data Modeling
Hashmap on Tap Podcast, Ep. 62
“I think most organizations believe they have a data quality problem when in reality they have a data governance problem.”
— Scottie Bryan, Delivery Manager at Hashmap
Why is Data Governance so important?
- It can be a colossal waste of time when not done correctly— Think about organizing a library with no books.
- It is foundational to data.
- It can save significant time and money when done correctly.
- It can help with the rapid adoption of new technologies or strategies.
- Mismanagement of data is a liability for an organization — Data that gets into the wrong hands represents real business risk.
How do you manage risk when changing data models?
Testing and validation are where data governance begins to play a massively important role.
If you‘ve documented where your data originates from, what you do to data as it moves through the data pipeline, and where it is deployed, you can better affect change much faster. This is true when changing data models, migrating to a different warehouse, or adopting a new SaaS solution for HR.
Hear more advice on Data Governance and Data Modeling
Scottie shares his advice gleaned from over 10 years of experience on data governance, data modeling, and effective strategies for organizations to gain more value from their data.
Listen to the episode:
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Scottie Bryan is a Delivery Manager with Hashmap, an NTT DATA Company, providing Data, Cloud, IoT, and AI/ML solutions and consulting expertise across industries with a group of innovative technologists and domain experts accelerating high-value business outcomes for our customers. Connect with Scottie on LinkedIn.
