Data Quality Is A Mess, But GenAI Can Help
datanami, Monday, May 13th, 2024
A recurring theme in big data over the past two decades is the poor quality of data. No matter how much ink is spilled on the topic, organizations continually seem surprised that the data they want to use for analytics or AI is not in good shape and needs attention.
Ataccama has made a business out of helping organizations solve their data quality problems, and with generative AI, the solutions are getting better.
There's no shortage of studies pointing to data quality issues being one of the most pressing concerns among data professionals. Dbt Labs issued a report in March indicating worsening data quality. In February, Informatica issued a report that found data quality to be the number one issue preventing companies from succeeding with generative AI (GenAI) initiatives. A pair of data observability vendors, Bigeye and Monte Carlo, published their own studies last year finding data quality is getting worse, not better.