Data Quality & Governance

As more organizations become data-driven, business decisions are based on data provisioned by decision support systems. The quality of the decision is directly linked to the quality of data on which it is based. "Garbage In, Garbage Out" is a reality in most organizations where data quality process are missing.

Implementation of data quality processes and tools such as data profiling, data cleansing, data standardization, data reconciliation and data matching is required to ensure that the risk of wrong data is addressed.

Additionally a layer of Data Governance processes will give your business the confidence that the right data is delivered to right people in the right context.


Be it a fresh implementation or a fresh perspective on an existing one, our team is equipped to help you. With strong understanding of this domain and a time tested implementation methodology, we will ensure that a solution is implemented in context of your business and information management lifecycle maturity.