Data Quality

How good is your data? Often that last minute check reveals serious discrepancies in decision-critical information. Up to 88% of data-related projects fail, largely due to issues with Data Quality and tend to leave business users, knowledge workers, and IT executives with a common set of questions in the back of their mind: 

• Does faulty data put me at risk of violating regulatory requirements?
• How much effort is duplicated on each project by not having common data infrastructure and standards?
• By the time the data is available for analysis, is it too late to be useful?
• Can I trust the information that is used to measure the performance of our business?
• How much manual effort is wasted each month performing reconciliation tasks? 

This service is delivered by an ETL specialist teams with assistance from IT and key business users who are well familiar with the data sources and the business rules. The ETL products and processes are configured to deliver the most appropriate data from sources to target DW/DM environments. ETL rules are stored in a single repository as per the best practices or following client practices for consistency of definition and ease of maintenance.

Compliance Requirements

The Data Services must plan for the compliance requirements placed on it by outside sources. Statutory rules and regulations, standards and guidelines must be taken in consideration during the planning stage, as how ETL will transfer data. The ETL process itself must account for the compliance requirements so that the data transferred is as usable as possible.