Remove 2024 Remove Data Management Remove Data Quality
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From Challenges to Triumph: WaterWipes’ Data Management Revolution with Maextro

Timo Elliott

One of the sessions I sat in at UKISUG Connect 2024 covered a real-world example of data management using a solution from Bluestonex Consulting , based on the SAP Business Technology Platform (SAP BTP). Clarity on Master Data : Clearly define what constitutes master data to avoid confusion.

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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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Data Management Predictions for 2024: Five Emerging Trends

Dataversity

As we near the end of 2023, it is imperative for Data Management leaders to look in their rear-view mirrors to assess and, if needed, refine their Data Management strategies.

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Enterprise Data World 2024 Takeaways: Key Trends in Applying AI to Data Management

Dataversity

I was privileged to deliver a workshop at Enterprise Data World (EDW) 2024. Publishing this review is a way to express my gratitude to the fantastic team at DATAVERSITY and Tony Shaw personally for organizing this prestigious live event.

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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?

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The Best AI Starts With Clean Data: Step-by-Step Guide

Domo

By establishing a strong foundation, improving your data integrity and security, and fostering a data-quality culture, you can make sure your data is as ready for AI as you are. You could also establish key performance indicators (KPIs) related to data quality and integrate them into performance evaluations.

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Building a Data Science career without coding

The BAWorld

In 2024 alone, many Tech and IT companies along with startups have posted roles that do not require coding skills. These are the roles that mainly focus on data interpretation, strategy, and decision-making. Data Quality Analyst The work of data quality analysts is related to the integrity and accuracy of data.