Snowplow TeamWhy data collection is key to your data strategyThe data collection process determines you data quality, how much you can do with you data, and the accuracy of your insights.Apr 14, 2020Apr 14, 2020
Snowplow TeamWhy and how to seize the multi-cloud data analytics opportunity?A multi-cloud strategy can empower your business to take control of your enterprise architecture and data.Apr 14, 2020Apr 14, 2020
Snowplow TeamSnowplow for retail: How can I use Snowplow?How to solve common problems retailers face every day with Snowplow.Mar 31, 2020Mar 31, 2020
Snowplow TeamIntelligent use of data in product development differentiates successful companiesData-informed product teams have the insight to build products that better serve users.Mar 30, 2020Mar 30, 2020
Snowplow TeamImproving A/B testing with event data modelingRunning A/B tests, measuring the results, and making the decision whether or not to roll out product updates should be frictionless.Mar 30, 2020Mar 30, 2020
Snowplow TeamThe product analyst toolkitDiscover the different tools you can use to solve your product analytics use cases.Mar 26, 2020Mar 26, 2020
Snowplow TeamWhy you should add product analytics to your product developmentAdding analytics to the set of domains that product managers should be expert on is a big ask, but it’s essential.Mar 26, 2020Mar 26, 2020
Snowplow TeamData-driven product development is more about process, culture, and people than technologyUsing data to drive product development is much more about process and culture than technology.Mar 26, 2020Mar 26, 2020
Snowplow TeamRe-thinking the structure of event dataStructuring event data using self-describing, versioned schemas allows you to maintain data meaning, data quality and data governance.Mar 25, 2020Mar 25, 2020
Snowplow TeamHow server-side tracking fills holes in your data and improves your analyticsThe right combination of client-side and server-side tracking could unlock greater value and deliver better insights from your data.Mar 25, 2020Mar 25, 2020
