How do you know your Data team is driving value or having an impact on the business? Whether you manage a team of Data Scientists, Data Analysts, or Data Engineers, your team’s value is not measured by the amount of tickets your team closes or the speed in which those tickets are closed. In this talk, I’ll use my own experiences on how your team can escape the ticketing abyss and transform into a data organization that enhances their impact and value creation by:
Stepping away from the data.
The value of a data analytics or data engineering team should not be measured by the volume or velocity of tickets they close or even the length of time in which they complete tickets. Far too many times, I have seen data organizations adopt devOps- style metrics to measure their data teams performance. In this portion of my talk, I will be highlighting ways data leaders can step away from the data and step into the business. Learn how to drive tighter partnerships with business stakeholders to ensure your team is adding value that impacts the bottom line.
Embracing unusual ideas
If you are a data leader that wants your team to be more strategic and less operational, you need to look within your team and embrace unusual ideas. In this section I’ll share creative ways to get your team to think outside of the box and build a data roadmap that is truly innovative.
Harnessing the 80/20 rule
As a data leader you might be surprised at the amount of time your team spends on high-effort low value tasks. Harnessing the 80/20 rule as a great way to give your team the creative space to work on the innovative roadmap they just created by embracing unusual ideas. I’ll wrap up the talk by providing an easy to follow guideline on how to shift your team’s focus to where 80 percent of their time is spent on initiatives that matter and 20 percent of their capacity keeping the data lights on for the business.
Akia loves nothing but developing awesome technical teams that become the driving force behind data-driven organizational transformations. For nearly 20 years, Akia has worked in Data Analytics. Executing and delivering measurable results, her career is marked by successfully maximizing business value and aligning strategies around data ownership, data integrity, and data lineage. Akia finds pride in creating clarity in the chaos while leveraging emerging technologies and fostering a data-first culture that empowers teams. Akia has been fortunate to work at Hubspot, a leader in B2B automation platforms , in addition to leading data analytics, data engineering, and data science teams at Criteo and Dell/EMC. Now Akia leads the data organization at Netlify, a company building a platform developers love.