Remove Business Intelligence Remove Metadata Remove Scorecard
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AWS Professional Services scales by improving performance and democratizing data with Amazon QuickSight

AWS Big Data

We were frustrated by the limitations of our previous business intelligence (BI) solution, which was holding us back from our vision to accelerate data sharing, team collaboration, and security within Amazon. This framework can be described as follows: Findable – Metadata and data should be easy to find for both humans and computers.

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Build a real-time analytics solution with Apache Pinot on AWS

AWS Big Data

Business metrics – Providing KPIs, scorecards, and business-relevant benchmarks. In parallel, the Pinot controller tracks the metadata of the cluster and performs actions required to keep the cluster in an ideal state. Anomaly detection – Identifying outliers or unusual behavior patterns.

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Data Catalogs Serve Multiple Roles and Use Cases

David Menninger's Analyst Perspectives

Metadata management has played a role in data governance and analytics for many years. It wasnt until the emergence of the data catalog as a product category just over a decade ago that enterprises had a platform for metadata-driven data management that could span multiple departments and use cases across an entire enterprise.

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Redefining enterprise transformation in the age of intelligent ecosystems

CIO Business Intelligence

What we consistently overlooked were the direct and indirect consequences of disruption to business continuity, the challenges of acquisitions and divestitures, the demands of integration and interoperability for large enterprises and, most of all, the unimpressive track record for most enterprise transformation efforts.