At Comcast, more and more teams are leveraging Split to make decisions every day, and engineering has partnered with product teams to standardized and scale the organization’s rituals around data.
This talk features Christina Singh, VP of Customer Success at Split, Jim Forsyth and Eugene Ehrbar from Comcast to discuss how Comcast is democratizing analytics and experimentation within their teams. Jim leads the product analytics and experimentation team, while Eugene runs the Connected Living engagement platform team.
Jim discusses Comcast’s initiatives during the pandemic, including providing free Wi-Fi in lower-income areas and their focus on digital experiences. He also talks about Comcast’s efforts to democratize data-driven decision-making and experimentation. Eugene discusses how Comcast leverages data and experimentation to improve customer experiences and increase engagement with their products.
They share insights on aligning teams, scaling experimentation, and maintaining control while empowering teams. They highlight the importance of alignment, common tools, and self-service capabilities. Jim and Eugene discuss future plans, including scaling product experiments, continuous improvement, and learning from other teams’ practices.
Overall, they emphasize the importance of data-driven decision-making, collaboration, and continuous learning in enhancing customer experiences at Comcast.
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The Split Feature Data Platform™ gives you the confidence to move fast without breaking things. Set up feature flags and safely deploy to production, controlling who sees which features and when. Connect every flag to contextual data, so you can know if your features are making things better or worse and act without hesitation. Effortlessly conduct feature experiments like A/B tests without slowing down. Whether you’re looking to increase your releases, to decrease your MTTR, or to ignite your dev team without burning them out–Split is both a feature management platform and partnership to revolutionize the way the work gets done. Schedule a demo or explore our feature flag solution at your own pace to learn more.