Remove IT Remove OLAP Remove Online Analytical Processing Remove Visualization
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BI Cubed: Data Lineage on OLAP Anyone?

Octopai

This is how the Online Analytical Processing (OLAP) cube was born, which you might call one of the grooviest BI inventions developed in the 70s. OLAP cube is designed as a solution to pre-compute totals and subtotals when the database server is idle. Saving time and headaches with online analytical processing tool.

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TIBCO JasperSoft for BI and Reporting

BizAcuity

TIBCO Jaspersoft offers a complete BI suite that includes reporting, online analytical processing (OLAP), visual analytics , and data integration. Online Analytical Processing (OLAP). Good Visualization Options. Insights can also be shared externally with a single click.

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What is business intelligence? Transforming data into business insights

CIO Business Intelligence

BI tools access and analyze data sets and present analytical findings in reports, summaries, dashboards, graphs, charts, and maps to provide users with detailed intelligence about the state of the business. Whereas BI studies historical data to guide business decision-making, business analytics is about looking forward.

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Reporting Analytics vs. Financial Reporting: Is There a Difference?

Jet Global

If you are confused about reporting analytics vs. financial reporting, it makes sense to start with a baseline definition of financial reporting. What About Financial Analytics? In contrast with financial reporting, analytics tends to cast a much wider net in terms of its overall purpose and objectives.

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Business Intelligence Solutions: Every Thing You Need to Know

FineReport

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. Data preparation and data processing. Data visualization analysis.

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Navigating Data Entities, BYOD, and Data Lakes in Microsoft Dynamics

Jet Global

D365F&SCM customers are invariably processing enough data that they can run into substantial issues with reliability and performance when running reports using entities. Data warehouses gained momentum back in the early 1990s as companies dealing with growing volumes of data were seeking ways to make analytics faster and more accessible.

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The Future of AI in the Enterprise

Jet Global

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. The business world is at an inflection point when it comes to the application of Artificial Intelligence (or AI).