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Data Quality & Governance

Our Expertise >

We assess clients data maturity into different technical levels to offer apt consulting and implementation services to our clients making timeframe of 4-8 weeks for first business outcome possible.

Our quantitative metrics approach to data quality are based on 7Cs of quality metrics which include correct, complete, comprehensive, consistent, current, compliant and control combines top-down and bottom-up approaches in cleansing, standardizing and de-duplicating data for business advantages and lower IT costs.

Data-discovery and common-metadata based lifecycle approach further yield in higher data reliability and accuracy.

Data Quality and Governance are key to accurate management (Business Intelligence) reporting and analytics. This indirectly links these 2 aspects to business decisions responsible for revenue growth and cost optimization.

We carry deep expertise in Data Quality and Governance lifecycles with services including data profiling, automated/semi-automated and manual data cleansing guided by business and technical precision rules obtained via dialogues with our client’s business and technical teams.

< Our Approach

Our Expertise >

We assess clients data maturity into different technical levels to offer apt consulting and implementation services to our clients making timeframe of 4-8 weeks for first business outcome possible.

Our quantitative metrics approach to data quality are based on 7Cs of quality metrics which include correct, complete, comprehensive, consistent, current, compliant and control combines top-down and bottom-up approaches in cleansing, standardizing and de-duplicating data for business advantages and lower IT costs.

Data-discovery and common-metadata based lifecycle approach further yield in higher data reliability and accuracy.

Data Quality and Governance are key to accurate management (Business Intelligence) reporting and analytics. This indirectly links these 2 aspects to business decisions responsible for revenue growth and cost optimization.

We carry deep expertise in Data Quality and Governance lifecycles with services including data profiling, automated/semi-automated and manual data cleansing guided by business and technical precision rules obtained via dialogues with our client’s business and technical teams.

Our Approach >

We assess clients data maturity into different technical levels to offer apt consulting and implementation services to our clients making timeframe of 4-8 weeks for first business outcome possible.

Our quantitative metrics approach to data quality are based on 7Cs of quality metrics which include correct, complete, comprehensive, consistent, current, compliant and control combines top-down and bottom-up approaches in cleansing, standardizing and de-duplicating data for business advantages and lower IT costs.

Data-discovery and common-metadata based lifecycle approach further yield in higher data reliability and accuracy.