Sisense

JULY 7, 2020

Another feature of In-Warehouse Data Prep is the warehouse statistics profiling view, which allows users to understand their data at a glance, identifying patterns, relationships, and unexpected values. In-Warehouse Data Prep supports both AWS Redshift and Snowflake data warehouses. Self-service dashboards: Your insights, your way.

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Slice and Dice Data Warehouse Analytics Dashboards 92

CIO Business Intelligence

NOVEMBER 9, 2022

They’re not required to have any experience with analytics or background in statistics or other related disciplines. Users have freedom to slice and dice the data without technical know-how,” he says. Business departments can create their own queries and reports and collaborate without the need for support from IT, Singh says.

Analytics 137

Analytics Slice and Dice Metrics Sales 137

Octopai

OCTOBER 6, 2019

– Visualizing your data landscape: By slicing and dicing the data landscape in different ways, what connections, relationships, and outliers can be found? – Analyzing the data: Using statistical methods, what insights can be gained by summarizing the data? What data models can be built from these relationships?

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Slice and Dice Metadata Visualization Data Governance 72

Smarten

APRIL 19, 2022

Businesses can analyze text to understand positive, negative and neutral sentiments, and can analyze the sentiments further with slice and dice with context variables such as persons location or demography.

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Slice and Dice Business Intelligence Advertising Predictive Modeling 59

Smarten

APRIL 28, 2023

In fact, today’s productivity statistics have decreased in nearly all segments of the economy and improved productivity can provide a competitive edge and allow your business to function with fewer resources.

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Slice and Dice Business Intelligence ROI Statistics 52

The Unofficial Google Data Science Blog

OCTOBER 21, 2015

Note also that this account does not involve ambiguity due to statistical uncertainty. As you can see from the tiny confidence intervals on the graphs, big data ensured that measurements, even in the finest slices, were precise. We sliced and diced the experimental data in many many ways.

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Slice and Dice Experimentation Data-driven Data Science 46

Occam's Razor

SEPTEMBER 21, 2015

conversion rate (it might not be statistically significant!). Very often at Analysts and Researchers we are so into the data, slicing and dicing it, and in trying to get something decent out of that work, that we fail to actually see the data. There are many standard data presentation strategies you should use all the time.

Visualization 161

Visualization Key Performance Indicator Slice and Dice Strategy 161