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In my last post, I gave you the first six Do’s and Don’ts of Data Governance and promised to bring together an additional six to consider when making a data governance plan for your organization. Here are six more dos and don'ts when building your data governance framework.

In addition to tracking your email marketing & automation KPIs from Klaviyo, you can also pull data from all of the tools that Klaviyo integrates with right into Databox, too.

A few years ago, Qlik ran a campaign called the Whole Story. The related video is still posted (fun fact: It was filmed in Qlik’s office near San Francisco). Our message was that you don’t know the whole story in your data if you a.) aren’t able to look at all the data while b.) understanding all the relationships between data.

You shouldn’t have to click ‘back’ in order to navigate to your Databoards. Now, you can view and switch to other Databoards in your account without interrupting your workflow.

Today, we are in the information age with a tremendous amount of data being created (as much as 90% of data being created in the last two years alone). This data comes from a wide range of sources and takes many different forms: human-generated documents and social media communications; transactional data that we use to run our businesses; and there is an ever-increasing proliferation of sensors producing streams of data.

Established in Florida in 1994, today, in 2018, the company has more than 1,135 outlets, in 44 US states, Puerto Rico and Canada.

One big mistake I see organizations make when starting out on their data governance journey is forgetting the rationale behind data. So don’t just govern to govern. Whether you need to minimize risks or maximize your benefits, link your data governance projects to clear and measurable outcomes. As data governance is a non-departmental initiative, but rather a company-wide initiative, you will need to prove its value from the start to convince leaders to prioritize and allocate some resources.