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Flagship 2021: Create Flexible Product Experiences at Comcast

The Product Analytics and Data Science team at Comcast will share their product experimentation journey, how they’ve built a culture of innovation, the technical foundations of success, and examples of results they’ve achieved.

The Fireside Chat with Comcast featured Tom Garrity from Split hosting Menghan, Cris, and Jim from Comcast’s Product Analytics and Experimentation team. Meng-Hai leads self-service analytics tools, Cris oversees product analytics and experimentation, and Jim manages the product analytics and experimentation team. They discussed how Comcast uses data to enhance decision-making, especially amid the COVID-19 pandemic’s impact on customer behavior. Comcast prioritized network reliability and customer satisfaction, emphasizing data-driven strategies.

Comcast’s data strategy focuses on democratizing insights, empowering teams with self-service analytics tools and processes. They partnered with Split for feature flagging and experimentation, enabling agile development while measuring impact effectively. Menghan emphasized building communities and rituals around data to foster collaboration and data-driven decision-making.

Cris highlights experimentation as pivotal for data-driven cultures, aiming for iterative, strategic testing aligned with business objectives. Jim praised Split’s alignment with Comcast’s needs, facilitating safe, fast software development. Looking ahead, Comcast aims to expand its data-driven culture and experimentation across teams, leveraging trends like cloud technology and low code/no code solutions.

Tom, Menghan, Cris, and Jim shared excitement for trends like increased data integration in everyday tools, sustained innovation post-pandemic, and advancements in cloud computing and low code/no code development.

Switch It On With Split

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.

Want to Dive Deeper?

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Create Impact With Everything You Build

We’re excited to accompany you on your journey as you build faster, release safer, and launch impactful products.