It’s the foundation of every technological initiative. But what happens if you build on a shaky foundation? Data governance is frequently missing from conversations about the value of product analytics, and Avo is out to change that. In this episode of the Mammoth Growth Podcast, Avo CEO and Co-Founder Stefania Olafsdottir chats with our EMEA President Stuart Scott about the challenges companies face with poor data governance, and how they can resolve these issues and spend more time building great products.
Product analytics is a discipline just like sales or marketing, and just like these, it will reward a high level of planning. While it’s one thing to understand the impact of a company’s product analytics on their overall decision making (analytics for your analytics), data governance addresses the very core of product analytics:
- How can we possibly make good decisions with bad data?
- How do we restore trust in our data?
- If we have a gatekeeper to confirm data quality before we ship, how do we deal with that bottleneck?
- How do we ship accurate product analytics based on good data, faster?
Stefania has seen this sequence play out over and over again, from really bad data to good data to self-serve data governance for product analytics.
One of Stefania’s breakthroughs was starting small, by finding the one person on a team who was passionate about data quality. Starting there, it’s much easier to demonstrate success with data governance by focusing on tactical wins - for example, improving adoption of one feature at a time, or increasing the conversion rate for a single cohort of users. How to approach data governance projects is just as important as the technology you implement along the way. Stefania’s insights into successful data governance led her and her team to create Avo, which fixes data quality for product analytics so every company can build on a solid foundation.
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