Analytics can help businesses and organizations make better, more informed decisions and achieve a variety of goals. Good data can be leveraged in so many ways that will result in a better understanding of your audience’s behavior, identifying market trends, measuring accomplishments, and more. But collecting data for data’s sake can leave you awash in spreadsheets and information, causing you to feel more like you’re drowning.
All of this makes it more important than ever to have accurate data from your analytics. This spring can be a great chance to spring clean your data from any dirty data. After all, a clean data set is a happy data set!
First of all, we need to audit our data across our analytics platforms and recognize any data that seems inconsistent, inaccurate, and unactionable.
We can run those audits usually by using a platform or collecting them manually from all your channels.
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