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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. What are the data quality expectations?

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Mastering the AI Basics: The Must-Know Data Skills Before Tackling LLMs

ODSC - Open Data Science

What youll do: Youll filter, merge, pivot, group, and reshape data constantly. Data Profiling: Know What Youre WorkingWith Why it matters: Jumping into modeling without understanding your data is like flyingblind. What youll do : Profiling gives you visibility into distributions, correlations, missingness, and anomalies.

professionals

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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

Here are some telling predictions from Gartner analysts: By 2024, 90% of data quality technology buying decisions will prioritize ease of use, automation, operational efficiency, and interoperability.

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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.