Data Quality

RunITas's Data Quality services provide that reduce the costs, increase sales, and improve performance by making trusted data available in every style of integration. Data is enriched, protected, and available.

• Make better decisions with clean, reliable data
• Process data at the right place and time
• Turn big data into smart, trusted assets

Data Quality Strategy involves three key tasks of data quality solutions:

• Data Profiling — As the first line of defense for your data integration solution, profiling data helps you proactively assess whether a source data extract meets the baseline quality standards of your solution.
• Data Cleansing—Successful data cleansing requires the use of flexible, efficient, and intelligent techniques to handle complex quality issues hidden in the depths of large data sets.
• Data Auditing — Auditing provides a history of all of the data cleansing operations performed in your integration solution.