Are you collecting dirty data?
Monitor your data collection to detect its unique patterns and history.
Detect errors and important anomalies using context based algorithms.
Act on warnings to improve your data quality and avoid risks associated with dirty data.
We know that you rely on your data, but how can you be sure you can trust it? According to Gartner: “Organizations believe poor data quality to be responsible for an average of $15 million per year in losses”. We want to help you be confident that your data is high quality, clean and consistent.
Static, rules based data validation is an inflexible solution to a dynamic problem. Data changes constantly, and along with it the requirements to solve issues. Our unique technology provides enhanced validation using statistically tested pattern recognition methods.
“Poor data quality costs the US economy $3.1 trillion per year”IBM
“Data quality affects overall labor productivity by as much as 20%”Gartner
Get in touch to learn more.
100-838 Fort St.
Victoria, BC V8W 1H8