Data Governance
Data is the lifeblood of today's digital economy — and to extract its full value, data must be managed and governed.
Data governance sets up the strategy, organization, directives and measurement practices to ensure you’re driving the prioritized activities and initiatives that result in tangible business value to your organization.
Governance acts as a wrapper around other information and data management capabilities to provide guidance, accountabilities and business context — making it foundational for many, if not all, data initiatives.
First San Francisco Partners’ (FSFP) data governance consulting services are anchored by decades of experience bringing together business and IT stakeholders to craft and implement sustainable data governance capabilities. By aligning technical priorities with business objectives and effective data processes, we help provide full clarity around data ownership, access, usage and management, and remove ambiguity about who is responsible for making changes to the data.
The result: consistent, accurate and trusted data across the enterprise, allowing for informed and effective decision-making.
Our agile data governance specialists can help you:
- Establish data governance as a core competence and enterprise service line
- Eliminate common roadblocks to adoption
- Define a corporate data governance strategy
- Bridge your resource and expertise gap with FSFP's data governance as a managed service
- Analyze your data governance performance and business impact
- Identify the right operating model for your culture and organization
- Achieve meaningful, sustainable results aligned to your business objectives
- Operationalize your data governance strategy
Improve the ROI of Your Enterprise Data
FSFP’s Modern Data Governance Framework allows organizations to leverage their existing data capabilities and improve orchestration to jumpstart their success in digital transformation and data-driven insights.
The Data Governance Life Cycle
The growth and sustainability of a DG program requires ongoing nurturing and maintenance.
Phase One
Launched
The Operating Model is established and decisions are made. Critical Data Elements have been prioritized and are being defined. Initial communications and training are delivered.
Phase Two
Operationalized
Data Governance is engaged with projects and strategic programs. Data Management activities are progressing. Data literacy is increasing across the organization. Data is understood and protected.
Phase Three
Measured
Measurable impact to the company is recognized. Data Governance/management progress ties to impact. Data is elevated to C-level and Board-level planning. Data is trusted and valued.
Phase Four
Sustained and Optimized
Data Governance proactively supports dynamic business requirements and changes. Data management capabilities are supporting innovation and growth.
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governance?
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