Decades of Powering the World’s Leading Businesses
Unlock Your Business Success with Trusted Data
Our data governance capabilities are designed to instill unparalleled trust in your data. We focus on ensuring that your data is accurate, consistent, secure, and compliant—elevating the reliability and integrity of your information assets. We collaborate with executive leaders (CEO’s, CFO’s, CRO’s, CMO’s, CHRO’s) and various stakeholders, from compliance teams to customers, to resolve data governance challenges and enhance data-dependent decision-making.
Core Data Governance Issues We Address
- Disjointed coordination among data management teams
- Ambiguity in data handling protocols
- Unclear data ownership and accountability
- Inconsistent data practices
- Compromised data accuracy and reliability
- Inadequate compliance, data protection, and access control
- Inefficient data discovery and information retrieval
- Limited understanding of governance policies and frameworks
- Limitations in assessing data governance effectiveness
Our Data Governance Services
Data Governance Framework Advisory
Establishing a governance framework that outlines roles, responsibilities, and decision-making processes related to data management.
Data Governance Council or Committee
Establishing a governing body or committee to oversee and make strategic decisions regarding data governance initiatives.
Metrics and KPIs
Specify key performance indicators and metrics to evaluate the success of your data governance initiatives.
Policies & Standards
Formulate organizational policies, guidelines, and standards for secure and compliant data management.
Data Stewardship
Designate data stewards to oversee domain-specific data quality and enforce governance policies.
Data Quality Management
Deploy tools and processes to ensure data accuracy, consistency, and reliability.
Metadata Management
Administer metadata to enhance data discovery, lineage, and comprehension.
Classification and Taxonomy
Implement a data classification and taxonomy system to facilitate data protection and access control.
Master Data Management
Deliver a unified data source through master data management solutions.
Data Governance Implementation
We specialize in developing data governance solutions for industry leaders such as Informatica, IBM Infosphere, Talend, and Collibra. We collaborate with our partners through a structured, cutting-edge approach.
Assessment
Evaluate existing data processes, policies, and quality.
Strategy Development
Formulate a tailored data governance strategy.
Framework Design
Create a governance framework, roles, and responsibilities.
Implementation Plan
Develop a roadmap for execution and deployment.
Monitoring and Refinement
Continuously assess and refine the governance strategy.
Our Data Governance Team
Leon Ginsburg
Founder and CEO
Sundip Gorai
Chief Data Officer, GM of Data, AI & Analytics
Boris Korenfeld
Global CTO & General Manager of Tech Practices
Dima Kuchin
Data and AI Consulting Lead
Why Choose Sphere Partners for Your Comprehensive Data Governance Needs?
Choosing us for your data governance solutions offers a multifaceted approach tailored to your specific needs. We collaborate with a range of boutique partner firms that specialize in data governance services, providing you with expert advice on build vs buy decisions, tool advisory, and customized solutions. Our methodology emphasizes data literacy, orientation, and specialized training in data governance.
Staffing Services
We address both your immediate and long-term staffing requirements, offering solutions that include the establishment of Centers of Excellence (COE) with built-in scalability and flexibility.
Data Governance Workshop
In our guided workshops, we assist you in pinpointing key use cases, assessing immediate impacts, and prioritizing initiatives for rapid, effective outcomes.
Outcomes We Enable With Data Governance
- Better decision-making
- Better regulatory compliance
- Increased stakeholder trust
- Improved data quality
- Enhanced operational efficiency
- Reduced risk
- Reduced data-related costs
