Every Business is betting big on Data Science and making it an essential part of the enterprise's decision making mechanism whether it is marketing, risk analysis, fraud prevention, cyber threat management or even investment choices.
However, the surprising trend we observe is that, organizations are taking old school sequential and silo-ed approach to organize and deliver data driven business decisions despite Data mining being very iterative and non-linear in nature.
As a result, the time between a derived insight and the organization’s time to action can create large gaps that breed a paradigm of striking oil without knowing how to monetize it. That causes the data driven insights to become useless; as it is too late to execute, or need to rebuild the models to find relevant insights. However, with agile principles that favors incremental changes driven by small cross-functional empowered teams; data science can truly be the driver for building insight driven organizations.
In this session, we will discuss the need for enterprises to embrace agile principles for their data analytics work and share the story of how we transformed a Data Analytics endeavor at a Big Canadian organization.