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Guide to Writing Data Requirements

QAT Global

This comprehensive guide explores the definition of data requirements, provides real-world examples, and discusses best practices for documenting and managing them throughout the software development lifecycle.

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Harnessing the Power of Today’s Data Requires Premium Data Management Tools

Dataversity

With proper Data Management tools, organizations can use data to gain insight into customer patterns, update business processes, and ultimately get ahead of competitors in today’s increasingly digital world. With IDC predicting that there will be 175 zettabytes of data globally by 2025, many solutions have emerged on […].

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As AI Algorithms Become More Sophisticated in Edge Devices, Persistent Data Requirements Must Advance at the Same Pace

Actian

As these distributed AI algorithms in edge devices become more sophisticated, persistent data requirements must advance at the same pace to enable the emerging use cases and immersive experiences that the market demands. You can learn more about Actian’s Cloud Data Warehouse here.

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Agile Requirements Management Part 3 – A Collaborative Data Model

BA Times

In this article I want to explore how to integrate data requirements with product features and user stories; the result is some very useful traceability to where a particular data entity or attribute is being used across a product.

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Maximize Data Impact with an Effective Data Lineage Strategy

Dataversity

For data-driven organizations, this leads to successful marketing, improved operational efficiency, and easier management of compliance issues. However, unlocking the full potential of high-quality data requires effective Data Management practices.

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Has anyone seen my data?

Analysts Corner

How data requirements and data analysis impact project success Continue reading on Analyst’s corner »

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Three Reasons to Take a More Holistic Approach to Data Management

Dataversity

Taking a holistic approach to data requires considering the entire data lifecycle – from gathering, integrating, and organizing data to analyzing and maintaining it. Companies must create a standard for their data that fits their business needs and processes. Click to learn more about author Olivia Hinkle.