Data Driven culture in the Startup Ecosystem - Why, How and What?

The Startup Ecosystem is expanding and bringing innovative ideas to the market. As these startups scale and build products and services that act as sensors to collect huge amount of data, the key question that needs to answered for each one of the startups is "how to make data useful for business?". The presentation will talk through an approach to start the data driven journey, caveats along the way and provide a framework for thinking with clarity that is derived out of practical experiences.


Outline/Structure of the Experience Report

  • Motivation
    • Scaling startups in the ecosystem
    • Value of data science for scaling startups
  • Approach to data driven journey
    • People
    • Processes
    • Principles
  • Practical Examples
    • Categories of startups with examples based on type (B2B, B2C, 2-sided marketplaces), scale, nature of decision making (batch vs real time)
    • Domain agnostic data strategy approach for the examples
    • Domain specific recipe for data architecture for the examples
  • Summary

Learning Outcome

Walk out with clarity on how to start and drive the data science journey for a company

Target Audience

Leaders and key decision makers in the startup ecosystem, Data Science teams in startups

schedule Submitted 10 months ago

Public Feedback

comment Suggest improvements to the Speaker
  • Anoop Kulkarni
    By Anoop Kulkarni  ~  10 months ago
    reply Reply

    Thanks for your proposal. Is it possible to explain a little more about "practical examples" section? Maybe listing specific examples would help. Also it would help if you can make the proposal a little more detailed (maybe upto second level detail for each of your bullets). Will help me assess the overall proposal.




    • Goda Ramkumar
      By Goda Ramkumar  ~  10 months ago
      reply Reply

      Thanks for the comments Anoop. I have added some sub bullets to the outline. Practical examples would basically give a framework to think about different kinds of startups for data journey taking a few examples of current startups in the ecosystem and then chalk out an approach for data strategy and architecture definition for those. Hope this suffices to get a better understanding. Please let me know if more information is required.