Watch / Hear the Full Episode
Watch on YouTube. Listen on Spotify.
CHAPTERS
00:00 Intro to Show
00:30 Intro to Guest and Topic
01:38 Getting into Data and Product Thinking
06:29 Applying Product Thinking to Data
10:00 Challenges in Traditional Data Organisations
11:04 Introducing Cross-Functional Teams
15:14 Showing Success and Gaining Buy-In
17:51 Regulated vs Unregulated Industries
19:24 Using Shadow Teams to Start the Transformation
22:06 Gaining Adoption of Product Thinking in Organisations
23:34 Pitfalls of Maturity Assessments
25:50 It's not a one Size Fits all Approach
28:43 Humanising Data Strategy
31:41 Practical Takeaways
33:33 Why Product Thinking Helps Create Better Data Products
36:01 Principles for Success
38:03 Ammara's Content Recommendation
40:13 A Question for you
TAKEAWAYS
Product thinking can be applied to data projects in traditional organizations to improve outcomes
Understanding the user journey and identifying decision points can help prioritize and design data products
Building trust and effective communication are key to successful implementation of product thinking in the data space
Data quality is crucial for effective data products and should be considered throughout the process
Applying product thinking to data projects requires a shift in mindset and collaboration across teams
AMMARA'S CONTENT RECOMMENDATIONS
Lauf, Wigald, lauf. A book about a person in Germany who ran 52 marathons a year, one marathon every week.
Data Mesh in Practice: Getting Off to the Right Start. An ebook written by Ammara Gafoor.
Humanizing Data Strategy by Tiankai Feng. A book about product thinking principles for data and data strategy.
CONNECT WITH US
Ammara Gafoor (Guest on the show)
Sabrina Mach (Host)
KEYWORDS
product thinking, data, data products, traditional organisations, projects, products, value, user journey, decision points, trust, data quality, product development, data strategy, business requirements, user needs, jobs to be done
Share this post