A data strategy rooted in business operations and processes

Operational data strategy brings a paradigm shift to how we build our data assets by moving the focus of data from answering an ad hoc question to a strategy where data assets are mapped to business operations and help inform specific process actions.

Harshavardhan Mamledesai

Specialist operational data strategy, Data analytics, ML

mamledesaiharsh@gmail.com

Why now?

Data teams have been stuck in a vicious cycle of factory style data assets development where they are grappling to keep up with the new data requests. This also means, there is very little attention given to productivity of data teams and what impact the data team can create for their organization.

Discovering the possibilities

Operational data strategy creates endless possibilities for the data team to discover,

  • Strategy to streamline the data assets developments

  • Operationalization of leadership strategy

  • Identify gaps in processes that can be resolved using data

  • Develop iterative processes to improve the performance of data assets

  • Monitoring the integrity of the processes so that they are not overwhelmed