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.