Skip to content
Data Strategy Evolved: How the Biological Model fuels enterprise data performance episode artwork

EPISODE · May 9, 2023 · 56 MIN

Data Strategy Evolved: How the Biological Model fuels enterprise data performance

from Data Science Conversations

In this episode Patrick McQuillan shares his innovative Biological Model - a concept you can use to enhance data outcome in large enterprises. The concept takes the idea that the best way to design a data strategy is to align it closely with a biological system. He discusses the power of centralized information, importance of data governance, and the necessity for a common performance narrative across an organization. Episode Summary - - Biological Model Concept - Centralized vs. Decentralized Data - Data Collection and Maturity - Horizontal translation layer - Partnership with vertical leaders - Curated data layers - Data dictionary for consistency - Focusing on vital metrics - Data Flow in Organizations - Biological Model Governance - Overcoming Inconsistency and Inaccuracy

Episode metadata supplied by the publisher feed · Published May 9, 2023

Embed this episode

Ready to play

Data Strategy Evolved: How the Biological Model fuels enterprise data performance

0:00 56:37

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

No similar episodes found.

No similar podcasts found.

Frequently Asked Questions

How long is this episode of Data Science Conversations?

This episode is 56 minutes long.

When was this Data Science Conversations episode published?

This episode was published on May 9, 2023.

Is there a transcript available for this episode?

Yes, a full transcript is available for this episode. You can read the complete transcript on the episode page.

Can I download this Data Science Conversations episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.
URL copied to clipboard!