How to create an automated and actionable analytics process 
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Matthew Bebenek Matthew Bebenek
6 min read
How to create an automated and actionable analytics process 

While most marketers today are trying their best to use data and make more informed decisions, many find it tough to find actionable next steps from the raw metrics. According to IBM, 25 quintillion bytes of data are created every single day – that's a number with 18 zeros! Staying on top of this massive volume of data can be overwhelming, even for those with a solid strategy and traditional data tools.

Much of this struggle can be attributed to two key issues:

It's tough to set up true goals and actions that properly represent how your site is being measured by the business
Many reporting methods lack a way to draw actionable conclusions and use them to drive change
According to Gartner, poor data quality costs organizations an average of $15 million per year. If you don't have accurate or revenue-based data to feed this understanding, it's difficult to drive change relative to true ROI.

With automated reporting and the right goal tracking in place to do the heavy lifting, you can free up your team's time to find what's impacting your goals (and give you the data you need to get those goals back on track). Once you have automated processes in place to capture this data and proper platforming to help drive change, it becomes easy to roll out incremental revenue for your organization.

I've broken down how you can break down your data challenges into more manageable steps, supported by the right tools. Let's dive in.

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