Smart Data Collective
JUNE 16, 2022
Online analytical processing is a computer method that enables users to retrieve and query data rapidly and carefully in order to study it from a variety of angles. Online Analytical Processing (OLAP) is a term that refers to the process of analyzing data online. Using OLAP Tools Properly.
Jet Global
OCTOBER 26, 2021
Multi-dimensional analysis is sometimes referred to as “OLAP”, which stands for “online analytical processing.” Ad hoc analysis brings together historical data with information about prospective future scenarios to model potential outcomes that could arise from internal business decisions or external factors in the marketplace.
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Sisense
AUGUST 11, 2019
Typically, this involves using statistical analysis and predictive modeling to establish trends, figuring out why things are happening, and making an educated guess about how things will pan out in the future. What About “Business Intelligence”? BI is also about accessing and exploring your organization’s data.
Jet Global
APRIL 2, 2019
Many of the features frequently attributed to AI in business, such as automation, analytics, and data modeling aren’t actually features of AI at all. Cubes are multi-dimensional datasets that are optimized for analytical processing applications such as AI or BI solutions.
Jet Global
SEPTEMBER 4, 2020
Consultants and developers familiar with the AX data model could query the database using any number of different tools, including a myriad of different report writers. Data entities are more secure and arguably easier to master than the relational database model, but one downside is there are lots of them!
Jet Global
JUNE 5, 2019
Business intelligence (BI) software can help by combining online analytical processing (OLAP), location intelligence, enterprise reporting, and more. But data alone is not the answer—without a means to interact with the data and extract meaningful insight, it’s essentially useless.
AWS Big Data
MARCH 7, 2023
Data repository services Amazon Redshift is the recommended data storage service for OLAP (Online Analytical Processing) workloads such as cloud data warehouses, data marts, and other analytical data stores. It enables you to create interactive dashboards, visualizations, and advanced analytics with ML insights.
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