What exactly is predictive analytics? Is it a worthwhile investment? What are the prerequisites for adopting and implementing predictive analytics? Read this article to find out.
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But what exactly sets business intelligence apart from artificial intelligence? Are they mutually exclusive? In this article we explore the concepts.
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The SQL Query Designer is an important part of the data administrator’s toolkit. But it’s not perfect for your end users. We break down what it is, who it’s for, and how DashboardFox can both leverage and extend it in this article.
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What is a semantic layer (and why is it important to business intelligence)? In this guide we go into the details, the benefits, and how DashboardFox helps.
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When it comes to data science and data analytics, people often act as though they produce the same information. While they do work well together, each brings its own strengths to the table and offers specific information.
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Visual SQL is a term being used more these days, but what exactly does it mean? We break down the good and the bad in this article.
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You may be wondering why is the question of dashboards or reports even a thing? It’s helpful to know the key differences between dashboards and reports and in this article we discuss.
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You must be wondering what’s the difference between self-service and traditional business intelligence. In this post, we’ll get into that and demystify it all for you.
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Business Analytics, or BA, and Business Intelligence, or BI, each of these has specific tools and methodologies for making sense of the data that you have. But what’s the difference between them? And which is most useful for you?
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So when it comes to qualitative vs quantitative data, what’s the difference and how do you get hold of it? And what’s the best way to use each data type to your advantage? Don’t worry, we’ve got you covered.
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