#DataProductManagement still follows the software development practices from #productmanagement standpoint. This essentially may not for #dataProducts. 1/n
2/n: Usually for building software products #productmanagement looks to understand #marketproblem = Many customers * Same/Similar Problem statement. This is them considered as an opportunity in #Enterprise #ProductManagement and gets the funding 2 build
3/n: #DataProducts on the contrary are build to solve unique problems within the company. @netflix building recommendation system to push content and then using the same data to understand which content to invest in.
4/n: You can buy tools to accomplish this but certainly can't buy a complete product/solution to solve this. Hence there is no way you can buy your way out of this topical problem statement(s). #Enterprises have huge #data #domainexpertise
n/n: and don't generally have funding issue hence perfectly suited to undertake #DataScience #MachineLearning #AI initiatives. If they decide to move beyond dashboard #analytics and embrace #DataProducts
@threadreaderapp unroll
