Sisense

JULY 22, 2020

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. Dimension tables include information that can be sliced and diced as required for customer analysis ( date, location, name, etc.).

Slice and Dice 98

Slice and Dice Digital Transformation Data Warehouse Data Lake 98

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

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 57

Slice and Dice Business Intelligence Advertising Predictive Modeling 57

Smarten

JUNE 10, 2022

As you review the list of predictions above, note that traditional and modern BI tools and Augmented Analytics with Natural Language Processing (NLP) and machine learning seems destined to co-exist for the foreseeable future. Real Time and Cached Cube Management. Smart Data Visualization. Anomaly Monitoring and Alerts.

Analytics 52

Analytics Slice and Dice Key Performance Indicator Business Intelligence 52

Jet Global

MAY 1, 2023

Interactivity can include dropdowns and filters for users to slice and dice data. Diagnostic Analytics: No longer just describing. Predictive Analytics: If x, then y (e.g., Prescriptive Analytics: Here’s what to do to achieve a desired outcome (e.g., Interest in predictive analytics continues to grow.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

CIO Business Intelligence

MAY 6, 2025

Predictive analytics: Turning insight into foresight Predictive analytics uses historical data and statistical models or machine learning algorithms to answer the question, What is likely to happen? This is where analytics begins to proactively impact decision-making. Its a symptom of needing one.

Prescriptive Analytics 78

Prescriptive Analytics Predictive Analytics Descriptive Analytics ROI 78