As data engineers, we’re constantly working to keep up with rapid changes to the data stack and ever-moving stakeholder expectations. In the past, this hustle has come to a head with BI, which has struggled to integrate new data and been analysis heavy. Thankfully, there’s a better way than the traditional BI we all know (and love and hate): Operational Analytics. In this talk, Olya Tanner, customer data architect at operational analytics pioneer Census, will break down how OA compares to the BI of the past, how it solves for the common pain points of BI, and what an OA approach means for the day-to-day work of the data engineer.
Olya Tanner is a customer data architect at Census. When she’s not taking Twitter by storm as the company’s resident data meme queen, Olya helps Census’s customers operationalize their data, one query at a time. Before joining Census, Olya worked as a director of data and analytics at WAVE.tv and as a senior manager of customer success at Google. She is based in Los Angeles, CA.