Our data stewards at SGA collaborate with the clients to, standardize, secure and integrate data through appropriate data governance models and strategies. Our perspective ensures the establishment of data-centric views, enterprise-wide data management, and data quality.

Data Stewardship Support

We deliver end-to-end data stewardship ship by collating and reviewing mandatory aspects of data quality requirements and conducting a primary feasibility study in the context of data requirements.

  • Initiate Business Requirement Document (BRD) creation and coordinate with consumers to understand the data use case.
  • Identify Key Data Elements (KDEs), map Physical Data Elements (PDEs) for the defined KDEs, and document thresholds for acceptability.
  • Stakeholder coordination across codification team, data architect, and data producers.
  • BRD review and validation.
  • Codification assistance including review of alignment between a business rule and codified rule, UAT results review, and release approval.

Data Quality Management

We design data quality management processes that adhere to integrity, accuracy, consistency, accountability, transparency, and compliance; disrupt business processes for effective outcomes.

  • Support exception management and remediation, including recurring break incidents
  • Tactical vs. strategic remediation.
  • Coordinate with in-house technology teams, external technology partners, and data producers.
  • Monitor remediation progress and relevant data quality score improvement.
  • Conduct Root Cause Analysis (RCA).
  • Post remediation, monitor improvement in the underlying data quality.
  • Review of data in source applications.
  • Data validation with third-party database.
  • Secondary research to validate exceptions and identifying the right data and source.
  • Treat data using cleansing rules.
  • Create data master and ensure data in golden source complies with regulatory requirements.

Metrics & Dashboarding

We layout sophisticated and accurate performance indicators, key data points to monitor business and extract better information to ramp up efficiency.

  • Strong capabilities in data visualization to create customized & interactive dashboards for senior-level reporting.
  • Draw actionable insights to improve overall data quality.
  • Enhanced RoI measurement.
  • Highlight potential risk areas.

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