It can be tough to manage data manually, and doing so can sometimes lead to errors or inefficiencies. Spreadsheets can get overly complex, and data quality can suffer. This has become a large enough ...

With the volume of new data now measured in the hundreds of exabytes each day and Web 3.0 becoming a thing, businesses are in need of advanced analytics and big data tools that can turn that data into ...

Good data quality is crucial for successful data and analytics initiatives and is increasingly pivotal to artificial intelligence impact. D&A leaders, including chief data and analytics officers, are ...

French open-source data-integration vendor Talend SA today unveiled its data profiling application, which will allow companies to assess their data quality as a key part of data integration projects.

The true measure of an effective data warehouse is how much key business stakeholders trust the data that is stored within. To achieve certain levels of data trustworthiness, data quality strategies ...

Syncsort, a global leader in data liberation, integrity and integration solutions for next-generation analytics, announced new solutions that bring together its industry-leading Big Data Integration ...

We’re just starting to tap the potential of what AI can do. But amid all the breakthroughs, one thing is fundamental: AI is only as good as the data it was trained on. Unlike people, who can draw on ...

Forbes contributors publish independent expert analyses and insights. I track enterprise software application development & data management. Data has grades. Much like olive oil, flour, gasoline, beef ...

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