DataRobot Blog

DECEMBER 19, 2019

From what I can remember, in-memory analytics, mobile BI, OLAP cubes and easier to use drag-and-drop analytics tools got all the buzz. by Jen Underwood. What was hot and what was not? Read More.

OLAP 85

OLAP Analytics Predictive Analytics 85

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. As AI techniques continue to evolve, innovative applications in the OLAP domain are anticipated.

OLAP 64

OLAP Slice and Dice Cost-Benefit Data Warehouse 64

Sisense

AUGUST 11, 2019

This is where Business Analytics (BA) and Business Intelligence (BI) come in: both provide methods and tools for handling and making sense of the data at your disposal. So…what is the difference between business intelligence and business analytics? What Does “Business Analytics” Mean? What’s In a Name? Let’s take a closer look.

Business Intelligence 75

Business Intelligence Business Analytics Analytics OLAP 75

CIO Business Intelligence

NOVEMBER 14, 2022

Bayer Crop Science has applied analytics and decision-support to every element of its business, including the creation of “virtual factories” to perform “what-if” analyses at its corn manufacturing sites. QlikView is Qlik’s classic analytics solution, built on the company’s Associative Engine. Analytics, Data Science

Data mining 132

Data mining Data-driven Statistics OLAP 132

AWS Big Data

OCTOBER 18, 2023

Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse that provides the flexibility to use provisioned or serverless compute for your analytical workloads. Modern analytics is much wider than SQL-based data warehousing. Solution overview AWS SCT uses a service account to connect to your Azure Synapse Analytics.

Analytics 97

Analytics Data Warehouse Testing Dashboards 97

FineReport

JUNE 24, 2021

Technicals such as data warehouse, online analytical processing (OLAP) tools, and data mining are often binding. On the opposite, it is more of a comprehensive application of data warehouse, OLAP, data mining, and so forth. Predictive analytics and modeling. BI software solutions (by FineReport).

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

Jen Stirrup

OCTOBER 30, 2022

As a first step to customer insight, analytical tools can summarise and aggregate historical information about customers. One particular technology which is good for summarising and aggregating data is called OLAP (On Line Analytical Processing). This model can assist in decision making and in focusing marketing efforts.

Data mining 52

Data mining Predictive Analytics Cost-Benefit OLAP 52