Jet Global
OCTOBER 26, 2021
Income statements, for example, might reflect actual performance relative to the budget, presented on a monthly, quarterly, or year-to-date basis (or some combination of those). Multi-dimensional analysis is sometimes referred to as “OLAP”, which stands for “online analytical processing.”
Jet Global
APRIL 20, 2020
CRM software has gone through a similar transformation, starting with sales force automation, and more recently evolving into a new breed of products that support digital marketing campaigns through email, social media, and online advertising. Software tools that support real-time analysis are undergoing a similar transformation today.
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Jet Global
JUNE 5, 2019
Business intelligence (BI) software can help by combining online analytical processing (OLAP), location intelligence, enterprise reporting, and more. Present: After the data has been analyzed and sorted, it is presented to the end user in an understandable format, such as a report, chart or graph.
Jet Global
APRIL 2, 2019
But the vast reams of data generated daily are presenting a new problem for businesses—what data matters? The optimized data warehouse isn’t simply a number of relational databases cobbled together, however—it’s built on modern data storage structures such as the Online Analytical Processing (or OLAP) cubes.
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.
Sisense
NOVEMBER 12, 2020
The traditional data warehouses solved the problem of processing and synthesizing large data volumes, but they presented new challenges for the analytics process. Cloud data warehouses took the benefits of the cloud and applied them to data warehouses — bringing massive parallel processing to data teams of all sizes.
Jet Global
AUGUST 14, 2019
But the vast reams of data generated on a daily basis are presenting a new problem for businesses—what data matters? The optimized data warehouse isn’t simply a number of relational databases cobbled together, however—it’s built on modern data storage structures such as the Online Analytical Processing (or OLAP) cubes.
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