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Faster data exploration in Jupyter through Lux

Domino Data Lab

Lux also supports specifying particular intent and then further slice, dice and filter charts to find one that best suits the problem you’re working on. Once we call the data frame, Jupyter presents the usual tabular format of data however we can now press the toggle button to generate our automated visualizations.

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Super-charged pivot tables in Amazon QuickSight

AWS Big Data

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. For example, a customer 360 report sliced by different regions. Recently, Amazon FinTech migrated all their financial reporting to QuickSight.

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6 Principles to Make your Data Story Stick

Juice Analytics

Bring personality to your data presentation. Rather than “telling” with a static data presentation, when you offer the ability to explore data together, it builds trust. Data visualizations are automatically connected together, so slicing-and-dicing is de-facto. C oncrete Make it tangible.

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Embedded BI Can Encourage Data Literacy!

Smarten

Embedded BI and Augmented Analytics includes traditional BI components like dashboards, KPIs, Reports with interactive drill-down, drill through, slice and dice and self-serve analytics capabilities.

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3 Ways to Increase Trust in Your NetSuite Data

Jet Global

The finance team confidently presents insights based on a single, reliable source, eliminating the need to defend data validity. ” Reports present figures without context, leaving stakeholders guessing at their origin. Slice and dice data, identify trends, and reveal hidden patterns invisible in standard reports.

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Know Your Data Ingredients

Juice Analytics

These are the ways you slice and dice your metrics. Format - How should the metric values be presented in your visuals? (3) The metrics are often the stars of the show ( Metrics are the Characters of Data Stories ) — like the proteins of your dishes. Dimensions are the data values that describe an attribute.

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5 tips for excelling at self-service analytics

CIO Business Intelligence

There are two main aspects of NLP as it relates to analytics, Menninger says: natural language search — also known as natural language query—and natural language presentation — also known as natural language generation. Natural language presentation deals with the results of analyses rather than the query portion, Menninger says.

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