[Radar Recap] Building an Enterprise Data Strategy that Puts People First
Key Quotes
If there's a recurring mistake I see, it's when someone shows me their data strategy, and it's only a pure data focus—whereas success is when you look at it holistically; it’s people, business and vision.
When it comes to building a data strategy there are five key blocks—Vision, Value, Governance, Organization Design, and Culture.
Key Takeaways
Enterprise data strategy should align with business goals to help ensure the needs of end-users are met. This should be continually monitored and improved upon across a range of areas in the business, including; people, processes, outcome alignment, technology and culture.
To implement a new data strategy in an earlier-stage business, try to weave and embed a data-first culture throughout all of the parts of the business that you can. The more people and processes a data strategy can affect, the more impactful it will be.
The people aspect of creating an effective data strategy is particularly important because people are harder to change than processes or technology. The way people think about and approach problems with data can be difficult to change, especially at scale, so more focus is needed to make sure that changes to align people with data are executed well and retained in the long term.
The Top Data Science Jobs of the Future
Andrei Kurtuy
10 min
Free Access Week | Aug 28 – Sept 3
Will Rix
5 min
How to Choose The Right Data Science Bootcamp in 2023 (With Examples)
Abid Ali Awan
10 min
DataCamp Portfolio Challenge: Win $500 Publishing Your Best Work
DataCamp Team
5 min
A Data Scientist’s Guide to Signal Processing
Amberle McKee
25 min
Chroma DB Tutorial: A Step-By-Step Guide
Abid Ali Awan
10 min