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. Cost optimization : Optimizing cloud spending for OLAP resources can be challenging due to complex pricing models and resource utilization patterns.

OLAP 59

OLAP Slice and Dice Cost-Benefit Data Warehouse 59

Sisense

MARCH 7, 2021

Machine learning and predictive modeling allowed the company to use complex historical warranty claim and cost information, previous and new product attributes, and forecasting data to create a predictive data model for future warranty costs. With a tool like Sisense, it changes the game altogether.”.

Slice and Dice 98

Slice and Dice Data-driven Cost-Benefit Forecasting 98

Sisense

JULY 22, 2020

However, cloud computing has grown rapidly because it offers more flexible, agile, and cost-effective storage solutions. Dimension tables include information that can be sliced and diced as required for customer analysis ( date, location, name, etc.). They use an array of tools to help achieve this. View Full-Size Version.

Slice and Dice 98

Slice and Dice Digital Transformation Data Warehouse Data Lake 98

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. Who benefits? What benefits does it provide? The total benefit comes to $750 thousand over three years.

Analytics 52

Analytics Slice and Dice Sales Cost-Benefit 52

Jet Global

MAY 1, 2023

These benefits provide a 360-degree feedback loop. In this new era, users expect to reap the benefits of analytics in every application that they touch. Users are coming to expect sophisticated analytics at little or no cost. All benefit from the enhanced functionality and additional reporting and analytics.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

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). Worse, the community may act on these ambiguous explanations, incurring real costs.

Slice and Dice 45

Slice and Dice Experimentation Data-driven Data Science 45