5 data quality myths ruining data integration
Nearly half (45%) of CIOs say data analytics and data science have had the greatest impact on their organizations among technology investments in the past two years. Achieving these advancements relies heavily on successful data integration.
A well-crafted data integration strategy secures a continuous flow of trusted data for advanced analytics, data science and artificial intelligence (AI). Dive into our eBook to sharpen your data integration skills and uncover insights on:
- Data quality myths that derail data integration and how to avoid them
- Must-have data quality features for data integration solutions
- Success stories, including how NRMA reduced data ingestion time by 60%
