Enterprise Data Governance Engagement (EDGE)
Data,
the Right Way,
Every Day.
Ensure control on corporate data assets for better availability, decision making, management and regulatory compliance with EDGE.
EDGE is a comprehensive 12-week offering designed to revolutionize data governance within organizations by addressing the critical dimensions of Data Accessibility, Accuracy, Consistency, Completeness, and Timeliness. EDGE includes setting up a data governance plan, using a platform to organize data, and ensuring data quality. It ensures that businesses have timely access to relevant and high-quality data, thereby enhancing trust and fostering a data-driven culture
Reduction in data errors or inconsistencies
Decrease in compliance violations or audit findings
Reduction in time spent on data-related tasks
Increase in data-driven decisions across departments
reduction in data breaches or security incidents
Problems Solved
Inefficient Data Accessibility and Timeliness
Inefficient Data Accessibility and Timeliness
Improves access to reliable data through a centralized catalog and enhanced observability.Data Inaccuracy and Inconsistency
Data Inaccuracy and Inconsistency
Ensures accurate, consistent data by eliminating redundancies and implementing quality checks.
Incomplete and Untrustworthy Data
Incomplete and Untrustworthy Data
Enhances decision-making with comprehensive, high-quality data profiles and clear semantics.
Why Anblicks Intelligent Enterprise ?
Operating Model & Playbook
Define and assess current state, identify stakeholders, roles, responsibilities, and prioritize critical data elements.
Implementation of EDGE Platform
Configure data domains, sub-domains, critical data elements, and perform automated metadata extraction
Data Catalog & Search
Implement data catalog and search features for improved data findability.
Data Quality and Lineage
Configure data profiler to determine quality issues and establish end-to-end data lineage for explainability and impact analysis
Offering Outcomes
Assess & Adopt
- Assess data estate and governance model
- Identify stakeholders, roles, and critical data elements
- Define target operating model and prioritize challenges
Accelerate
- Configure EDGE platform, data domains, and critical data elements
- Set up metadata extraction, catalog, and data quality profiler
- Define metadata, glossary, and data lineage
Maintain
- Configure incident manager to flag unhealthy data
- Set up data observability and downtime assertions
- Implement freshness, volume, and column checks
Governance Capabilities
People, Policies, Standards, Processes
Partnerships
Database Migration Delivery
Infrastructure Azure
Data & AI Azure
Digital & App Innovation Azure
Success Stories
We needed a way to ensure our data met strict compliance standards for our term and health insurance data while remaining accessible for analytics. After implementing the new governance framework with automated processes we have full confidence in our data quality now and a clear roadmap for maintaining it across teams.
Head of Compliance
Global Insurance Provider
Before Anblicks stepped in, inconsistent data across our warehouses caused major supply chain and inventory delays. They helped us implement an end to end governance framework that ensures data integrity and transparency at every step. Inventory and supply chain issues are now a thing of the past, and our customers couldn’t be happier.
VP of Operations
Fashion Retailer
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