When it comes to data quality maturity, are you reactive or proactive?
See how to advance your position on the Data Quality Maturity Model, from reactive, ad hoc fixes to a smart, proactive approach that automatically corrects problems before they even occur.
Join this webinar and learn how to:
- Incorporate artificial intelligence (AI) techniques such as elastic search, pattern detection, and predictive analytics.
- Deal with data anomalies and deliver trusted data to all your decision-makers.
- Predict data irregularities and improve the quality of information assets.
- Automate and drive actionable intelligence.
Peter Morris has worked at Information Builders with business intelligence, analytics, master data management, and big data for more than 25 years.