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The steep cost of a poor data management strategy

CIO Business Intelligence

Data management’s ROI Customers often ask me how to “make the case” for data management. To derive data management’s ROI, your organization can use your relevant key performance indicators (KPIs). Learn more about data architectures in my article here.

Strategy 105
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Misled by metrics: 7 KPI mistakes IT leaders make

CIO Business Intelligence

Here are seven ways IT leaders are often misled by key performance indicators (KPIs) and other critical business and IT metrics. When studying a metric, it’s important to know who created it and the data source. “If It’s 2022, we’re past the age of DRIP — data rich, insight poor.”.

Metrics 130
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Combine transactional, streaming, and third-party data on Amazon Redshift for financial services

AWS Big Data

In this post, we provide a solution architecture that describes how you can process data from three different types of sources—streaming, transactional, and third-party reference data—and aggregate them in Amazon Redshift for business intelligence (BI) reporting.

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How Cloudinary transformed their petabyte scale streaming data lake with Apache Iceberg and AWS Analytics

AWS Big Data

Despite the potential separation of storage and compute in terms of architecture, they are often effectively fused together. This amalgamation empowers vendors with authority over a diverse range of workloads by virtue of owning the data. This combination is the most refined way to have an enterprise-grade open data environment.

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What Is Embedded Analytics?

Jet Global

Learn how embedded analytics are different from traditional business intelligence and what analytics users expect. Embedded Analytics Definition Embedded analytics are the integration of analytics content and capabilities within applications, such as business process applications (e.g., that gathers data from many sources.