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#202 Creating a Balanced, Sustainable Approach to Your Data Mesh Journey - Interview w/ Kiran Prakash

Data Mesh Radio

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The Value of Not Changing Without Running That Experiment

The value of keeping it at as it was and understanding that that data work had value, even though the answer was stay the course, don't change. The trick is to make small mistakes, not not to make one big mistake, but if you can make sort of many smaller mistake and learn from it, you're in the right direction. It's like setting a product team up on these hypothesis and doing experimentation and adjusting based on what they learnbased on feedback loop. You will be wrong a lot of times because there are other externalities affecting the outcome. And so then how do you add value to or how do you attribute value to making the right decision?

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