CIO Business Intelligence

OCTOBER 19, 2023

You can also use Power BI to prepare and manage high-quality data to use across the business in other tools, from low-code apps to machine learning. Integrate with Office If your users prefer to slice and dice with Pivot tables, Power BI data can also be used in Excel.

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DataRobot Blog

SEPTEMBER 30, 2022

How do you track the integrity of a machine learning model in production? You also need visibility into prediction requests and the ability to slice and dice prediction data over time to have a complete understanding of the internal state of your AI/ML system. Model Observability can help.

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AWS Big Data

JANUARY 25, 2023

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

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Ontotext

JANUARY 10, 2024

No matter what machine learning or graph algorithms are used, they cannot uncover dependencies if the corresponding “signals” are missing. This will allow us to perform quicker slicing and dicing and to get richer results in less time. And, quite often, these signals are spread across multiple systems.

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Birst BI

JUNE 18, 2018

When the data sets are large, with numerous attributes, users spend a lot of time slicing and dicing for newer insights or apply their original hypotheses to a subset of data. How many times might there be other more important factors affecting the outcome that have not been explored?

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AWS Big Data

MARCH 20, 2023

Other use cases – Additional use cases relating to aggregations and machine learning (ML) inference use cases such as authorization to operate, listing spam detection, and avoiding account takeovers (ATOs), among others. About the authors Mahesh Pasupuleti is a VP of Data & Machine Learning Engineering at Poshmark.

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Sisense

JULY 22, 2020

Dimension tables include information that can be sliced and diced as required for customer analysis ( date, location, name, etc.). The combination of a powerful storage repository and a powerful BI and analytics platform enables such analysts to transform live Big Data from cloud data warehouses into interactive dashboards in minutes.

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The Unofficial Google Data Science Blog

OCTOBER 21, 2015

For example, in our field, we can generally blame machine learning feedback (predictions that change the data itself), budget effects (bidders running out of money in repeated auctions) or even the weather (internet usage changes in complicated ways). We sliced and diced the experimental data in many many ways.

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The Unofficial Google Data Science Blog

JULY 18, 2023

If they roll two dice and apply a label if the dice rolls sum to 12 they will agree 85% of the time, purely by chance. In practice, we see that the ICC computed this way is almost always equal to the version derived exclusively from the relevant slice of the data, regardless of the value of $rho$.

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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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Jet Global

MAY 12, 2023

Analytics is vital now because providing end-users with the ability to analyze, slice, and dice data within the context of their application is essential to staying competitive in today’s fast-paced digital world.

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Analytics Slice and Dice Sales Cost-Benefit 52

Jet Global

MAY 1, 2023

Interactivity can include dropdowns and filters for users to slice and dice data. Augmented analytics use machine learning and AI to aid with data insight and analysis to improve workers’ ability to analyze data. They can be presented in the context of a single chart or in a collection of visualizations in a dashboard.

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Analytics Cost-Benefit Visualization Dashboards 52