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#122 Unlocking Your Data Value Through Good Product Practices - Interview w/ Alla Hale
Sign up for Data Mesh Understanding's free roundtable and introduction programs here: https://landing.datameshunderstanding.com/
Please Rate and Review us on your podcast app of choice!
If you want to be a guest or give feedback (suggestions for topics, comments, etc.), please see here
Episode list and links to all available episode transcripts here.
Provided as a free resource by Data Mesh Understanding / Scott Hirleman. Get in touch with Scott on LinkedIn if you want to chat data mesh.
Transcript for this episode (link) provided by Starburst. See their Data Mesh Summit recordings here and their great data mesh resource center here. You can download their Data Mesh for Dummies e-book (info gated) here.
Data Product Manager Role on Alla's team: https://jobs.ecolab.com/job/15770737/data-product-manager-barcelona-es/
Alla's LinkedIn: https://www.linkedin.com/in/allahale/
In this episode, Scott interviewed Alla Hale, a Data Product Manager at Ecolab. To be clear, she was only representing her own views rather than anything on behalf of the company. She is hiring in Barcelona as well, see here
Some key takeaways/thoughts from Alla's point of view:
- The most useful question in your quiver as a data producer is "what value would having this unlock for you?" It's not about pushing back, it's about skipping to collaborative negotiation. How can you work together to unlock business value?
- It's important to remember this when there is a data request: "they are coming to you because they need your help." Act accordingly - with empathy and patience.
- You need to really consider your data user experience (DUX) for your data products. How can you quickly get people past figuring out "what the product is" to leveraging the data product to drive value? You want users to enjoy using your data product.
- User stated requirements often do not match actual user needs. To maximize the return on your data work, look to exchange context to find the needs instead of just taking requirements at face value. And do so with patience and empathy.
- No prototype, no meeting = having something tangible - even if that is simply a...
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By Data as a Product Podcast Network
5
99 ratings
Sign up for Data Mesh Understanding's free roundtable and introduction programs here: https://landing.datameshunderstanding.com/
Please Rate and Review us on your podcast app of choice!
If you want to be a guest or give feedback (suggestions for topics, comments, etc.), please see here
Episode list and links to all available episode transcripts here.
Provided as a free resource by Data Mesh Understanding / Scott Hirleman. Get in touch with Scott on LinkedIn if you want to chat data mesh.
Transcript for this episode (link) provided by Starburst. See their Data Mesh Summit recordings here and their great data mesh resource center here. You can download their Data Mesh for Dummies e-book (info gated) here.
Data Product Manager Role on Alla's team: https://jobs.ecolab.com/job/15770737/data-product-manager-barcelona-es/
Alla's LinkedIn: https://www.linkedin.com/in/allahale/
In this episode, Scott interviewed Alla Hale, a Data Product Manager at Ecolab. To be clear, she was only representing her own views rather than anything on behalf of the company. She is hiring in Barcelona as well, see here
Some key takeaways/thoughts from Alla's point of view:
- The most useful question in your quiver as a data producer is "what value would having this unlock for you?" It's not about pushing back, it's about skipping to collaborative negotiation. How can you work together to unlock business value?
- It's important to remember this when there is a data request: "they are coming to you because they need your help." Act accordingly - with empathy and patience.
- You need to really consider your data user experience (DUX) for your data products. How can you quickly get people past figuring out "what the product is" to leveraging the data product to drive value? You want users to enjoy using your data product.
- User stated requirements often do not match actual user needs. To maximize the return on your data work, look to exchange context to find the needs instead of just taking requirements at face value. And do so with patience and empathy.
- No prototype, no meeting = having something tangible - even if that is simply a...