Common Mistakes When Building Analytics Platforms: Data Sources

Posted on by Tim Rosenblatt

One of the biggest reasons why people build analytics platforms is that they have data from different sources, but they don't want to have to jump between different tools. There are so many SaaS companies now that even small businesses have many data sources

  • Google Analytics
  • mobile app analytics
  • AdSense
  • FB Ads
  • Twitter Ads
  • newsletter data
  • new user signups
  • A/B testing
  • CRM
  • ...

Jumping between them all is a real problem. It's a much better idea to have all the data in a single place.

Here's the part where a good idea goes too far. Let's say an engineering team can integrate two new data sources every week. If you've got 20 sources, you're pushing back your launch by more than 2 months!

You almost certainly don't need all of your data sources right away. In fact, there are probably a few data sources that you only look at once a month because they're just not necessary for your daily work.

Start with only the data sources you're going to use every single day. Maybe 3-5 out of a typical company's 20 SaaS tools. Use the platform for a month and then decide what you need next month. You can always add more next month. You're not going to get locked in by temporarily pushing a feature back. Make this your mantra! "I can always add it next month"

If you're considering building an analytics platform, think about hiring Cloudspace to help. Get in touch for a free consultation.

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