Jet Global

JUNE 5, 2019

Business intelligence (BI) software can help by combining online analytical processing (OLAP), location intelligence, enterprise reporting, and more. We want to help you optimize visibility into trends and predication—and use that insight to inform business strategy. Start future proofing your business today.

Data mining 75

Data mining Business Intelligence OLAP Key Performance Indicator 75

Sisense

AUGUST 11, 2019

BI lets you apply chosen metrics to potentially huge, unstructured datasets, and covers querying, data mining , online analytical processing ( OLAP ), and reporting as well as business performance monitoring, predictive and prescriptive analytics.

Business Intelligence 75

Business Intelligence Business Analytics Analytics OLAP 75

IBM Big Data Hub

DECEMBER 7, 2023

Online analytical processing (OLAP) database systems and artificial intelligence (AI) complement each other and can help enhance data analysis and decision-making when used in tandem. Customer lifetime value analysis : OLAP helps businesses identify high-value customers and develop strategies to retain them.

OLAP 57

OLAP Slice and Dice Cost-Benefit Data Warehouse 57

Sisense

NOVEMBER 12, 2020

Cloud data warehouses have the ability to connect directly to lakes, making it easy to pair the two data strategies. While the architecture of traditional data warehouses and cloud data warehouses does differ, the ways in which data professionals interact with them (via SQL or SQL-like languages) is roughly the same.

Data Warehouse 52

Data Warehouse Data Lake OLAP Data-driven 52

Sisense

SEPTEMBER 3, 2019

First, we’ll dive into the two types of databases: OLAP (Online Analytical Processing) and OLTP (Online Transaction Processing). The best configuration will vary based on whether the cluster is to be solely used for analytics, or if it will power your BI layer. So let’s dive in! OLTP vs OLAP.

Data Warehouse 78

Data Warehouse OLAP Statistics Cost-Benefit 78

AWS Big Data

JUNE 21, 2023

A key pillar of AWS’s modern data strategy is the use of purpose-built data stores for specific use cases to achieve performance, cost, and scale. Deriving business insights by identifying year-on-year sales growth is an example of an online analytical processing (OLAP) query.

Data Warehouse 98

Data Warehouse Data Lake OLAP Cost-Benefit 98

IBM Big Data Hub

SEPTEMBER 25, 2023

They stood up a file-based data lake alongside their analytical database. While this side-by-side strategy enabled data capture, they quickly discovered that the data lake worked well for long-running queries, but it was not fast enough to support the near-real time engagement necessary to maintain a competitive advantage.

OLAP 86

OLAP Data Lake Data-driven Online Analytical Processing 86

Jet Global

MAY 4, 2021

As the first in-memory database for SAP, HANA was revolutionary, bringing together the best characteristics of both traditional online transaction processing and online analytical processing. Let’s begin with an overview of the reporting tools that SAP provides for its current ERP offering.

Reporting 52

Reporting IT Finance Data Warehouse 52