Perform data quality transformations by using an extensive set of predefined algorithms, or write your own in Python, R or SQL. Combine information from various sources to enrich your data
Understand the impact of your actions on data quality and improvements driven by your actions. Set benchmarks and monitor progress towards your goals
Identify, monitor, and resolve data quality issues that require human intervention. Data issues from various sources are identified so business processes can be improved
Implement your business rules using our rules engine and ensure that data transformations are uniformly applied across all your data sources
Let your business analysts and data scientists import their custom scripts into the platform to leverage it’s scale and transform data with a higher degree of velocity and consistency