Data Science, Predictive Analytics and Slice and Dice

How OLAP and AI can enable better business

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

OLAP Slice and Dice Cost-Benefit Data Warehouse

Migration Supporting Real-Time Analytics for Customer Experience Management

Cloudera

AUGUST 31, 2020

As SMG continued to innovate, the scale, variety and velocity of data made its legacy warehouse environment show its limits. Moreover, LLAP drastically reduces traditional Hive overhead when executing SQL, enabling near real time queries and ad-hoc analytics. Data Science Services.

Management

Management Slice and Dice Data Warehouse Analytics

Smarten Announces Sentiment Analysis Capability Designed for Business Users!

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.

Slice and Dice

Slice and Dice Business Intelligence Advertising Predictive Modeling

Data Leaders Brief

How OLAP and AI can enable better business

Migration Supporting Real-Time Analytics for Customer Experience Management

Smarten Announces Sentiment Analysis Capability Designed for Business Users!

Webinars

Stay Connected