In this lesson, we’ll go over why you need a naming standard and our preferred approach, the object-action framework.Įnsuring Consistent, High-Quality Data at Scale To speed up your time to insight, you should enforce a naming convention when instrumenting analytics. Naming Conventions: Why You Need Them for Clean Data Here's how a tracking plan can help you succeed.Ĭonnect certain Destinations as Sources to leverage additional signals about customer engagement Forming a hypothesis and setting goals help determine the metrics to measure and the events to track. When getting started with analytics, the most successful teams front-load the planning.
FULL STACK BUSINESS INTELLIGENCE DEFINITION HOW TO
Make sure you’re prepared to respect your customers’ rights and their privacy.ĭata Tracking: How to Create a Successful Data Tracking Plan Regulations like the GDPR give your customers new rights over how you collect and process their data. Though the sharing economy is ushering us into a world of letting foreigners sleep in your bed, riding in cars with strangers, and generally eschewing the notion of “ownership,” we strongly believe that when it comes to analytics data, you should own it. When should you level up to SQL? When you hit one of these blockers.
But for a while, out-of-the-box analytics tools are all you need. There comes a day where your existing analytics tools won’t be able to answer your questions. When to Use (and Not Use) SQL for Analysis: A Complete Guide Check out this lesson to learn more about the audiences that every B2C and B2B company can use to guarantee high engagement. It doesn't mean you can't engage users in personal and relevant ways. While 1:1 communication may be out of the question as you scale. Getting the right message to the right person at the right time requires that your tools are working off the right audiences. As we learned the hard way, this knowledge can save you years of time and hundreds of thousands of dollars. In this lesson, you'll learn how to use analytics to quantify product-market fit. Here are best practices in maintaining consistent and high-quality customer data, so you can focus on growing your business. But this introduces some complexity in data management. In this lesson, you'll learn what a successful analytics process looks like and how to do it yourself.Ĭustomer Data Guide: How to Make the Most of Your DataĬustomer data is becoming useful in more and more tools-analytics, sending personalized emails, running A/B tests, etc. You need to think about analytics differently. Here's what you need to know about selecting actionable metrics. And tracking the wrong metrics is almost as bad as tracking nothing at all. Everyone loves their wall-mounted dashboards, but we rarely pick the right metrics to track.
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