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BI Cubed: Data Lineage on OLAP Anyone?

Octopai

How much time has your BI team wasted on finding data and creating metadata management reports? BI groups spend more than 50% of their time and effort manually searching for metadata. 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 56
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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. Octopai's Automated Metadata Management Platform can make CCPA compliance a breeze. Keeping the Lights On with Automated Metadata Management. Not Yet CCPA Compliant?

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Octopai Users Do More with Enhanced Data Lineage Capabilities + Complete BI Data Catalog

Octopai

Manually add objects and or links to represent metadata that wasn’t included in the extraction and document descriptions for user visualization. We call this feature: Expand. Collapse irrelevant results allowing users to focus on the task at hand. Column-to-column lineage.

OLAP 58
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How gaming companies can use Amazon Redshift Serverless to build scalable analytical applications faster and easier

AWS Big Data

Sources Data can be loaded from multiple sources, such as systems of record, data generated from applications, operational data stores, enterprise-wide reference data and metadata, data from vendors and partners, machine-generated data, social sources, and web sources. Let’s look at the components of the architecture in more detail.

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How to Become a BI Developer without Learning How to Script

Jet Global

Unfortunately, most BI tools require substantial development effort just to get up and running, such as deep technical expertise, access to development software such as Visual Studio.net, and a significant time commitment. It allows users to cleanse and transform data on the fly and to visually see how to improve their data flows.

Finance 78
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What Is Embedded Analytics?

Jet Global

Plus, there is an expectation that tools be visually appealing to boot. In the past, data visualizations were a powerful way to differentiate a software application. Their dashboards were visually stunning. Today, free visualizations seem to be everywhere. It’s all about context. End users expect more from analytics too.

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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. Jet Analytics from insightsoftware helps bridge the gap between reporting and data visualization. This metadata-driven approach also allows the project to be managed easily by multiple contributors and documentation to be generated on demand.