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Trends in Data Governance and Security: What to Prepare for in 2024

Dataversity

Organizations learned a valuable lesson in 2023: It isn’t sufficient to rely on securing data once it has landed in a cloud data warehouse or analytical store. As a result, data owners are highly motivated to explore technologies in 2024 that can protect data from the moment it begins its journey in the source systems.

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Top Data Quality Tools for 2024: Improve Data Quality | Simplilearn

Simplilearn

Given the increasing complexity of clouds, data quality management is essential in data centers. You need a mechanism to scrub, organize, and analyze data from numerous sources, including social media, the Internet of Things, and databases. It makes it reasonable in this situation to use data quality tools.

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Transforming Business Analysis With Big Data: A Decision-Maker’s Guide

Analysts Corner

Challenges in Adopting BigData Despite its benefits, implementing Big Data Analytics presents several challenges: Data Quality Management : Inaccurate or incomplete data can lead to misleading insights and poor decisions. Maintaining clean and consistent data iscrucial.

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Enterprise Data World 2024 Takeaways: Trending Topics in Data Management

Dataversity

I was privileged to deliver a workshop at Enterprise Data World 2024. Participating in such events has multiple advantages, including becoming familiar with trending topics in the data management […] The post Enterprise Data World 2024 Takeaways: Trending Topics in Data Management appeared first on DATAVERSITY.

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Harrods’ Data Analytics Transformation: Turning Challenges into Insights

Timo Elliott

At UKISUG Connect 2024, Tushir Parekh, Data Analytics Manager at Harrods, gave an overview of Harrods’ Data Analytics Journey. The challenges were daunting: Siloed Data: Data was fragmented across 18 different SQL servers and multiple other platforms, with no unified system.

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Supercharging Value from Data in 2024

Dataversity

Without a doubt, initiatives such as generative AI (GenAI) and cloud migration have garnered the bulk of attention among influencers and data leaders this year, as organizations tried to determine how, and if, they made sense for their business.

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Data Speaks for Itself: Data Quality Management in the Age of Language Models

The Data Administration Newsletter

Unsurprisingly, my last two columns discussed artificial intelligence (AI), specifically the impact of language models (LMs) on data curation. My August 2024 column, The Shift from Syntactic to Semantic Data Curation and What It Means for Data Quality, and my November 2024 column, Data Validation, the Data Accuracy Imposter or Assistant?