What is Data Quality as a Service?
A rapid data quality assessment and implementation service that includes functions such as data profiling, meta data analysis, validation, standardization, matching, de-duping, cleansing etc. for data in the cloud or on-premise
How it helps Organizations?
Evaluate and Quantify data quality issues present in their key data sources
Analyze and Quantify the impact of the data quality issues on cost and process performance
Discover and catalog key data quality rules
We leverage machine learning algorithms to autonomously identify data quality rules without input from the business users
We evaluate entire data set as opposed to a sampling, with a processing capability of over 100 GB (over a billion records) and bad data identified in less than 2 hours
Quick turn around time : Four weeks engagement for assessing 20-30 tables
Sample Outcomes and Deliverable