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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. The OLAP cube makes reading data across multiple dimensions manageable.

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Bridge the Gap Between Reporting and Data Visualization in Power BI

Jet Global

Power BI can generate easy-to-read visualizations that help stakeholders perform key analysis. The skills needed to create a data warehouse are currently in short supply, leading to long lead times, high costs, and unnecessary risks. Jet Analytics from insightsoftware helps bridge the gap between reporting and data visualization.

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Closing the breach window, from data to action

IBM Big Data Hub

The list of challenges is long: cloud attack surface sprawl, complex application environments, information overload from disparate tools, noise from false positives and low-risk events, just to name a few. A visual builder simplifies the hunting experience with a library of command templates and in-context explanations and examples.

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

Jet Global

Online analytical processing (OLAP), which enabled users to quickly and easily view data along different dimensions, was coming of age. The challenge with OLAP, however, is that it requires intensive processing power to aggregate data according to various categories or dimensions. Data warehouses have been in widespread use for years.

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Business Intelligence System: Definition, Application & Practice

FineReport

OLAP is a data analysis tool based on data warehouse environment. Data Visualization. Data visualization can reflect business operations intuitively. The company can lower the risk value of the red line and monitor the situation in real time. Data Analysis. It is an active method of automatic discovery. REPORT FILLING.

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Data Model Development Using Jinja

Sisense

Data warehouses provide a consolidated, multidimensional view of data along with online analytical processing ( OLAP ) tools. OLAP tools help in the interactive and effective processing of data in a multidimensional space. Jinja provides a powerful automatic HTML escaping feature. Sandboxing.

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CCPA 2020: Getting Your Data Landscape Ready

Octopai

Octopai’s metadata discovery and management suite provides visualization tools that empower you to see and report everything about sensitive customer data. You can evaluate and mitigate compliance risks. You can’t do this easily without automated data lineage tools. Not Yet CCPA Compliant?