datapine

MAY 21, 2019

Robust dashboards can be easily implemented, allowing potential savings and profits to be quickly highlighted with simple slicing and dicing of the data. It can be easy to roll out a strategic, operational, analytics and tactical dashboard so that each dashboard tells a cohesive and focused data story.

Business Intelligence 183

Business Intelligence Cost-Benefit Dashboards ROI 183

IBM Big Data Hub

DECEMBER 7, 2023

Initially, they were designed for handling large volumes of multidimensional data, enabling businesses to perform complex analytical tasks, such as drill-down , roll-up and slice-and-dice. Early OLAP systems were separate, specialized databases with unique data storage structures and query languages.

OLAP 57

OLAP Slice and Dice Cost-Benefit Data Warehouse 57

IBM Big Data Hub

OCTOBER 27, 2022

Left to their own devices, they had resorted to using legacy reporting tools such as Excel that required manual gathering, slicing and dicing of data. Consequently, this data was siloed, unshareable, hard to use, lacked quality and governance controls, and could not be used in automated processes.

Slice and Dice 52

Slice and Dice Analytics Sales Business Analytics 52

Ontotext

JANUARY 10, 2024

This will allow us to perform quicker slicing and dicing and to get richer results in less time. To implement a data fabric pattern, on the other hand, we need data management tools for data integration, data quality, and data governance.

Metadata 72

Metadata Slice and Dice Data Integration Enterprise 72

Occam's Razor

SEPTEMBER 21, 2015

When you are presenting, to an audience of 3 or 3,000, your goal should be to get the data out of the way as fast as you can, so that you can move to the so what conversation. Use these standard data visualization approaches to communicate more effectively to quicker internalization of reality. #9. Look beyond the obvious, really look.

Visualization 161

Visualization Key Performance Indicator Slice and Dice Strategy 161

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. We normally have lots of labelers and items in our dataset, and priors give a form of regularization that better handles cases where data might be sparse and makes the model less prone to overfitting.

Measurement 52

Measurement Metrics Uncertainty Slice and Dice 52