Remove 2025 Remove Data Profiling Remove Data Quality
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Effective strategies for gathering requirements in your data project

Dataconomy

Project management is crucial in 2025 for any business. Businesses project planning is key to success and now they are increasingly rely on data projects to make informed decisions, enhance operations, and achieve strategic goals. Key questions to ask: What data sources are required? What are the data quality expectations?

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An Introduction to Metadata Management

Dataversity

According to IDC, the size of the global datasphere is projected to reach 163 ZB by 2025, leading to the disparate data sources in legacy systems, new system deployments, and the creation of data lakes and data warehouses. Most organizations do not utilize the entirety of the data […].

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The Power of AI in Precisely Software: Accelerating Efficiency and Empowering Users

Precisely

It provides a unique ability to automate or accelerate user tasks, resulting in benefits like: improved efficiency greater productivity reduced dependence on manual labor Let’s look at AI-enabled data quality solutions as an example. Problem: “We’re unsure about the quality of our existing data and how to improve it!”

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Common Data Governance Challenges & Their Solutions

Alation

As data collection and volume surges, so too does the need for data strategy. As enterprises struggle to juggle all three, data governance offers a vital framework. The world is collectively generating trillions of gigabytes of new data. And one enterprise alone can generate a world of data. No Data Leadership.