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Data Storytelling: What's Easy and What's Hard

Juice Analytics

Here are 25 more lessons we've learned (the hard way) about what's easy and what's hard when it comes to telling data stories: Easy: Picking a good visualization to answer a data question Hard: Discovering the core message of your data story that will move your audience to action Easy: Knowing who is your target audience Hard: Knowing what motivates (..)

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Why Choose a Hybrid Data Cloud in Financial Services?

Cloudera

Let’s start with our definition of a hybrid data cloud. All in a distributed cloud model that spans multi-public, private & edge clouds. . Across my discussions with customers and prospects, a hybrid environment is the dominant model present or evolving in financial services firms. Managing Cloud Concentration Risk.

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Reporting Analytics vs. Financial Reporting: Is There a Difference?

Jet Global

If you are confused about reporting analytics vs. financial reporting, it makes sense to start with a baseline definition of financial reporting. It’s also helpful to be able to “slice and dice” income statements by segregating information for different company divisions, product lines, or subsidiaries. Financial Reporting.

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The Art of Data Storytelling

Juice Analytics

Sure they don’t tell the whole story, but they definitely give more insight into what’s actually happening with your data and can provide some colorful detail in your data story. It may seem counterintuitive to consider modeling your data presentations after traditional storytelling structure.

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The Complete Digital Analytics Ecosystem: How To Win Big

Occam's Razor

Definition? You need to slice! You need to dice! Repeat after me: Slice, dice, drill!! Advanced Analytics Analytics Digital Analytics Digital Marketing Leadership Marketing Tips Web Analytics digital analytics strategy digital marketing execution model web analytics process' You need to drill!

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What is OLAP?

Jedox

In this blog post, we’ll look at the definition of OLAP as well as an overview of the technology. To get an idea of how it works, the cube works really well as a model. With the multidimensional model described above using the cube, multiple entries of the same dimensions become redundant. Background and Overview.

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What is Automated Data Discovery?

Octopai

You’re constantly at risk of missing important connections, insights, and relationships within your data that could drive innovation, inspire new business models, and inform both strategic and tactical decisions. What data models can be built from these relationships? That’s the problem that data discovery can solve.