The digitization and automation of business processes are forcing companies to make fundamental changes to how they operate. From sales to operations and from engineering to customer success, every member of the organization has to make day-to-day decisions not only faster, but backed by data.
Unfortunately for many teams, the promise of an effective operational analytics model is blocked by three things:
- A data infrastructure not designed for the kinds of data required for operational decision-making
- A highly manual, reactive analytics workflow that limits access to operational insights
- The lack of a data-driven culture that’s undermining the value of the information available to every employee in the organization
On April 22nd, Jad Naous from Imply and Peter Bailis from Sisu led an engaging discussion about why a culture of operational analytics is a requirement to compete in today’s market, how companies can quickly reinvent the way they share data across the organization, and where leaders can focus their time on building a culture where every decision is informed with data.
Watch the webinar on-demand here.
- Jad Naous is the Vice President of Research and Development at Imply, where he’s focused on building the product and engineering teams responsible for Imply’s real-time analytics solution built around Apache Druid. Imply’s mission is to help their customers explore and understand their data, while also giving back to the open source community.
- Peter Bailis is the founder and CEO of Sisu, the operational analytics platform that helps businesses diagnose why their critical metrics are changing. Based on years of research at Stanford University, Sisu uses machine learning and powerful statistical analysis to help anyone get answers to their toughest business questions.