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[Q&A] A Data Model to Drive Business Outcomes With Critical Insights

Most business leaders understand, better data and better analytics are going to lead to a better decision. But there’s this chasm between business leaders who don’t have a background in data and data professionals.  Even though data professionals have the capabilities to execute high-quality analytics and business solutions, they’re not speaking the same language as some of the business stakeholders, and they can’t seem to get across this divide to communicate insights. The problem is there’s no translator between these two groups.  The Pragmatic Data Analysis Model addresses this problem in a tangible way by giving teams a process that can lead them to success. Here are some questions we answered during a recent webinar on how to best implement the model. > > Learn more about the Pragmatic Data Analysis Model and watch the webinar replay How is the Pragmatic Data Analysis Model different than other data models?  There are many models that focus on analyzing and streamlining data. The Pragmatic Data Analysis Model is different because it helps organizations handle communicating, defining and presenting data to stakeholders.  What makes this model uniquely helpful is the third step—refine. It is the reality check that helps teams avoid spending valuable time

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