What stage has your organization reached on its data maturity journey?
In terms of maturity, Pendulum is using diagnostic and descriptive analytics extensively. We have started using predictive analytics, AI and ML in the last one year and are looking forward to using prescriptive analytics in the second half of this year.
Tell us about the data and analytics resources you are responsible for
Currently I manage a team of ten people for data and analytics. This includes data engineers, dashboard developers and data scientists. In terms of organization, they are part of the IT team. We do have few other self-service analytics people that are in marketing and finance. Prior to Pendulum, I worked at Petco where I managed a team of 60 people that were spread across onshore and offshore. This included similar resources such as data engineers, report/dashboard developers, data quality and governance resources and data scientists. At Petco, we also had 30 plus self-service data analysts that were part of different business teams.
