Remove Definition Remove Metrics Remove Slice and Dice Remove Visualization
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Know Your Data Ingredients

Juice Analytics

This is an often overlooked step on the rush to visualize data. In an effort to lay a strong foundation for your visualizations, here are three steps to understand and evaluate your data fields before you throw it into the Cuisinart that is your visualization tool. (1) 1) Separate your metrics from your dimensions.

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

Juice Analytics

Gathering a collection of visualizations and calling it a data story is easy (and inaccurate). Making it meaningful is so much harder. Making data-driven narrative that influences people.hard. Schedule a demo.

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12 Marketing Reports Examples You Can Use For Annual, Monthly, Weekly And Daily Reporting Practice

datapine

But first, we will start with a basic definition and some tips on creating these kinds of reports. Structure your metrics. As with any report you might need to create, structuring and implementing metrics that will tell an interesting and educational data-story is crucial in our digital age. Let’s dig deeper. click to enlarge**.

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Great Storytelling With Data: Visualize Simply And Focus Obsessively

Occam's Razor

Avoid complex visualizations – they get in the way! My goal is that you'll learn a set of filters you'll use as you think about the best ways to create your stories, however you choose to tell them with whatever visual output you most love. Avoid complex visualizations – they get in the way! Teddy ready?

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Move Beyond Excel, PowerPoint And Static Business Reporting with Powerful Interactive Dashboards

datapine

Visualizing the data and interacting on a single screen is no longer a luxury but a business necessity. They enable you to easily visualize your data, filter on-demand, and slice and dice your data to dig deeper. Maps are important data visualizations and at datapine, we love utilizing them in our dashboards.

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Digital Dashboards: Strategic & Tactical: Best Practices, Tips, Examples

Occam's Razor

It also handy explanations of the metrics, with key context where necessary. Allow me to visualize the problem above, and leverage that visualization to present the solution. As you might have guessed, you are at the very right of the above visual, with most access to data, the ability to analyze it ( inshallah! )

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Simplify data loading into Type 2 slowly changing dimensions in Amazon Redshift

AWS Big Data

A dimension is a structure that captures reference data along with associated hierarchies, while a fact table captures different values and metrics that can be aggregated by dimensions. Dimensions provide answers to exploratory business questions by allowing end-users to slice and dice data in a variety of ways using familiar SQL commands.