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Optimize queries using dataset parameters in Amazon QuickSight

AWS Big Data

Then the visuals in the dashboard react to the user’s selection of parameter value. With dataset parameters, authors can optimize the experience and load time of dashboards that are connected live to external SQL-based sources. Choose the table visual and add a few columns from the Fields list.

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Super-charged pivot tables in Amazon QuickSight

AWS Big Data

Additionally, with Amazon QuickSight Q , end-users can simply ask questions in natural language to get machine learning (ML)-powered visual responses to their questions. This involved migrating complex tables and pivot tables, helping them slice and dice large datasets and deliver pixel-perfect views of their data to their stakeholders.

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Experimenting to Win with Data

Sisense

The experiences of Measuremen, an international consultancy that helps organizations optimize facilities use, illustrate this point. Since 2005, Measuremen has helped its clients study and optimize facilities use. Measuremen can visualize the data in its portal, evaluate current trends, and recommend changes.

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It's Not The Ink, It's The Think: 6 Effective Data Visualization Strategies

Occam's Razor

Too many bars, inside them too many slices, odd color choices, all end up with this question: what the heck's going on here? Just because this one is from one of the largest business consulting companies in the world, and the title of the study was: Cutting Complexity and Adding Value. Everything seems sub-optimal.

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Common Business Intelligence Challenges Facing Entrepreneurs

datapine

These benefits include cost efficiency, the optimization of inventory levels, the reduction of information waste, enhanced marketing communications, and better internal communication – among a host of other business-boosting improvements. Consult with key stakeholders, including IT, finance, marketing, sales, and operations.

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Empowering Analysis Ninjas? 12 Signs To Identify A Data Driven Culture

Occam's Razor

Consulting. Second… well there is no second, it is all about the big action and getting a big impact on your bottom-line from your big investment in analytics processes, consulting, people and tools. 7: 25% of all analytical effort is dedicated to data visualization/enhancing data's communicative power. #6:

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What Is Embedded Analytics?

Jet Global

Plus, there is an expectation that tools be visually appealing to boot. In the past, data visualizations were a powerful way to differentiate a software application. Their dashboards were visually stunning. Today, free visualizations seem to be everywhere. It’s all about context. End users expect more from analytics too.