Define and assess current state, identify stakeholders, roles, responsibilities, and prioritize critical data elements.
Enterprise Data Governance
Engagement (EDGE)
Experience Precision, Power, and Performance
An intelligent enterprise leverages advanced technologies such as AI, machine learning, and data analytics to drive smarter decision-making, enhance business processes, and improve customer experiences. Our Intelligent Enterprise Offering provides a quick start to this transformation, establishing end-to-end data architecture, data engineering, AI/ML engineering, enterprise applications, and intelligent business process orchestration.
Why Anblicks EDGE
Accessibility
70-80% of data users’ time is wasted on data search.
Accuracy
A concerning 30-40% of data suffers from accuracy issues, directly leading to customer dissatisfaction and potential brand damage.
Consistency
Enterprises often have five different versions of the same data, leading to “Data Sprawl.”
Completeness
30% of enterprise data assets lack comprehensiveness, leading to ineffective decision-making.
Timeliness
Enterprise data assets are unreliable 25% of the time when businesses need them, leading to a lack of trust and adoption issues.
Data Governance EDGE Features
1
Operating Model & Playbook
2
Implementation of EDGE Platform
Configure data domains, sub-domains, critical data elements, and perform automated metadata extraction.
3
Data Catalog & Search
Implement data catalog and search features for improved data findability.
4
Data Quality and Lineage
Configure data profiler to determine quality issues and establish end-to-end data lineage for explainability and impact analysis.
Offerings & Solution Outcomes
Up to 3 Weeks
Assess & Adopt
Operating Model & Playbook
- Analyze current Data Estate.
- Define and Assess current state data Governance Op Model.
- Identify Stakeholder(s).
- Identify Roles & Responsibilities.
- Identify Corporate Data Domain(s).
- Identify & Prioritize Critical Data Elements (CDE) under each Domain.
- Document & Prioritize current Data Quality, Security, Compliance and Privacy challenges.
- Define Prescriptive Target State Operating Model Playbook.
Up to 3 Weeks
Accelerate
Enterprise Data Governance using “EDGE” platform
- Implement and configure the “EDGE” platform.
- Define Data Domains and Sub-Domains.
- Configure Critical Data Elements/Assets.
- Establish Data Semantics & Glossary terms.
- Automate metadata extraction and configure Data Catalog.
- Assist Data Custodians, Stewards, and Privacy Stewards.
- Implement Data Profiler for quality assessment.
- Establish end-to-end Data Lineage for transparency.
Up to 3 Weeks
Maintain
Minimize Data Downtime
- Configuring “Incident Manager Workflow” to flag Data Assets as being in an unhealthy state.
- Data Observability by configuring assertions to minimize.
- “Data Downtime” and maximize “Data Quality”
- Data Freshness assertions
- Data Volume assertions
- Custom SQL assertion
- Column assertion
Governance Capabilities and Automation
People, Policies, Standards, Processes
Benefits of Data Governance (EDGE)
Build Data Trust
Establish a reliable data foundation, enhancing trust and fostering a data-driven culture.
Reduced Data Downtime
Implement observability and incident management workflows to minimize downtime and maximize data availability.
Fit for Purpose Data
Ensure data is relevant and appropriate for specific business needs and decision-making processes.
Enhanced Data Quality
Improve data quality through systematic governance practices, reducing errors and inaccuracies.
