Build Trusted, Governed,
AI-Ready Data
Establish the governance, quality, cataloging, and data management capabilities required to support analytics, AI, compliance, and mission success.
Data You Can’t Trust Can’t Drive Decisions
Organizations invest in analytics and AI — then discover their data is too incomplete, too inconsistent, and too ungoverned to deliver reliable results. Without a trusted data foundation, every downstream capability is built on sand.
Data Silos
Critical information exists across dozens of disconnected systems — HR, finance, operations, contracts — with no unified view, no shared definitions, and no way to know which version is authoritative.
Poor Data Quality
Incomplete records, inconsistent formats, duplicate entries, and stale values undermine every report, dashboard, and analytical model built on top of them — eroding executive confidence in data-driven decisions.
Lack of Governance
No one knows who owns the data, who is accountable for quality, or what the authoritative definitions are — leading to conflicting interpretations, missed compliance requirements, and ungoverned data sprawl.
Limited Metadata
Users spend hours searching for data assets, questioning data definitions, and rebuilding work that already exists — because there is no catalog, no lineage documentation, and no way to discover what data the organization holds.
AI Readiness Challenges
AI and machine learning initiatives fail or produce untrustworthy outputs because the training data is biased, incomplete, poorly labeled, or lacks the governance required for responsible AI deployment.
Compliance Requirements
Expanding data regulations — FISMA, Privacy Act, OMB data policies, and agency-specific mandates — require documented data lineage, retention policies, and accountability that most organizations cannot demonstrate.
A Trusted Data Foundation — Not Just Data Management Tools
Synergistic Agility delivers a complete Data Fabric & Data Governance solution that establishes enterprise-wide data governance, builds a governed data catalog, improves data quality, and creates the trusted data foundation required for analytics, AI, and compliance.
We combine data strategy, governance framework design, catalog implementation, data quality programs, master data management, and managed governance operations — as an integrated engagement, not a software deployment.
Data Sources
ERP, HR, finance, operational systems, cloud platforms, and external feeds
Catalog
Unified data catalog with metadata, lineage, ownership, and discovery
Governance
Policies, stewardship, accountability, and compliance controls
Quality
Automated profiling, quality scoring, issue detection, and remediation
Analytics & AI
Trusted, governed data powering dashboards, models, and AI systems
Business Outcomes
Better decisions, compliant operations, and responsible AI deployment
What Your Organization Achieves
Designed to deliver measurable improvements in data trust, quality, discoverability, compliance posture, and AI readiness across the enterprise.
Trusted Data
Increase confidence in enterprise data by establishing clear ownership, defined quality standards, and governance controls that make data reliable enough to act on without verification.
Improved Data Quality
Reduce errors, duplicates, and inconsistencies through automated data quality monitoring, issue alerting, and systematic remediation workflows that catch problems before they reach analytics.
Better Decision Making
Use trusted, current, and well-defined information for planning, reporting, and operations — replacing gut instinct and spreadsheet reconciliation with governed data that leaders can act on with confidence.
Regulatory Compliance
Continuously demonstrate compliance with data-related regulations — Privacy Act, FISMA, OMB data policies — through documented governance controls, lineage trails, and audit-ready reporting.
AI Readiness
Build the trusted, well-governed, and properly documented data foundation that AI and machine learning initiatives require — so AI projects succeed rather than failing due to poor data inputs.
Enterprise Visibility
Give every stakeholder — from data stewards to executives — a clear view of what data exists, where it lives, who owns it, how reliable it is, and how it flows across the organization.
Four Integrated Components. One Trusted Data Capability.
From governance strategy through continuous data quality operations — every component works together to build an enterprise data foundation that analytics and AI can depend on.
Advisory Services
Expert consulting to assess governance maturity, develop data strategy, design governance operating models, and build a roadmap for enterprise data modernization.
- Data Governance Maturity Assessment
- Enterprise Data Strategy
- Governance Operating Model Design
- AI Readiness Evaluation
- Governance Roadmap & Business Case
Technology Enablement
Implementation of data catalogs, metadata repositories, data quality monitoring tools, and master data management platforms that operationalize your governance program.
- Data Catalog Implementation
- Metadata Repository Configuration
- Data Quality Monitoring Deployment
- Master Data Management Implementation
- Data Lineage Documentation
Accelerators
Pre-built governance frameworks, data stewardship models, policy templates, and governance dashboards that accelerate implementation and enforce consistency across the enterprise.
- Data Governance Policy Templates
- Stewardship Roles & RACI Models
- Data Quality Rule Libraries
- Governance Performance Dashboard
- AI Readiness Assessment Framework
Managed Support
Ongoing governance operations, data quality monitoring, stewardship support, and continuous improvement to keep your governance program active and effective over time.
- Governance Operations & Oversight
- Continuous Data Quality Monitoring
- Steward Enablement & Support
- Governance Performance Reporting
- Continuous Improvement Reviews
Where Data Governance Delivers Trusted Outcomes
Purpose-designed governance programs for the highest-impact data challenges across federal agencies and enterprise organizations.
AI Readiness Program
Prepare enterprise data for AI and machine learning by establishing data quality baselines, lineage documentation, bias assessment processes, and governance controls required for responsible AI deployment.
Enterprise Data Catalog
Build a governed enterprise data catalog that enables every user to find, understand, and trust data assets — with ownership, definitions, lineage, quality scores, and usage context for every dataset.
Master Data Management
Establish a single, authoritative golden record for critical enterprise data — employees, contractors, vendors, clients, and assets — eliminating duplication and ensuring every system works from the same trusted source.
Data Quality Program
Implement a systematic, continuous data quality program that profiles data assets, scores quality across completeness, accuracy, consistency, and timeliness dimensions, and triggers remediation workflows for issues.
Regulatory Compliance
Build governance controls, retention policies, and audit trail capabilities that satisfy data-related regulatory requirements — Privacy Act, FISMA, OMB data policies, and agency-specific mandates.
Executive Data Governance Dashboard
Give Chief Data Officers, CIOs, and leadership a real-time governance health dashboard — tracking data quality scores, stewardship coverage, policy compliance, AI readiness, and governance program KPIs.
Best-Fit Data Fabric Technology for Your Environment
We are platform-agnostic. Technology is selected based on your data landscape, compliance environment, and existing infrastructure — never vendor preference alone.
IBM Data Fabric
Enterprise data fabric platform
IBM DataStage
ETL & data integration pipelines
IBM Data Replication
Real-time data sync & CDC
IBM InfoSphere MDM
Master data management
IBM Watson Knowledge Catalog
Data catalog & governance
Microsoft Purview
Data governance & compliance
Snowflake
Cloud data warehouse
Databricks
Data lakehouse & AI platform
Azure Data Services
Azure data factory & lake
AWS Data Services
Glue, Lake Formation & Athena
Governance Dashboards
Executive & steward views
Data Steward Portals
Stewardship workflow apps
Executive Reporting
Governance KPI dashboards
A Structured Approach to Data Governance
Every engagement follows our five-phase methodology — building governance incrementally, demonstrating value early, and establishing a self-sustaining program that improves over time.
Assess
Governance maturity review, data quality audit & stakeholder discovery
Design
Governance framework, operating model, policies & technology blueprint
Implement
Deploy catalog, quality tools, MDM, and governance capabilities
Train
Data steward training, stakeholder enablement & change management
Support
Ongoing governance operations, quality monitoring & continuous improvement
Start with Assessment. Build to Enterprise Governance.
Four engagement packages designed to meet organizations wherever they are on their data governance journey — from initial maturity assessment through full enterprise data modernization.
Assess your current governance maturity, audit data quality across priority domains, identify gaps, and build a prioritized roadmap for data modernization.
Key Deliverables
- Governance Maturity Assessment
- Data Quality Baseline Audit
- Stewardship & Ownership Gap Analysis
- AI Readiness Evaluation
- Data Governance Roadmap
Establish the governance framework, stewardship model, and initial policy infrastructure that gives your organization a structured foundation for managing enterprise data.
Key Deliverables
- Data Governance Framework & Policies
- Stewardship Operating Model
- Business Glossary Development
- Initial Data Quality Rules
- Steward Training Program
Deploy a full enterprise data fabric — data catalog, metadata management, quality monitoring, governance dashboards, and managed support for priority data domains.
Key Deliverables
- Enterprise Data Catalog
- Metadata Management Platform
- Continuous Data Quality Monitoring
- Executive Governance Dashboard
- Training Program & 6-Month Support
A comprehensive enterprise data modernization program — governance, data fabric architecture, master data management, AI readiness, operating model, and multi-year managed support.
Key Deliverables
- Enterprise Governance Program
- Data Fabric Architecture
- Master Data Management Program
- AI Readiness Framework
- Multi-Year Managed Governance Support
Why Synergistic Agility
We combine data governance expertise, federal data experience, and the agility of a certified small business — building governed data foundations that analytics, AI, and mission can rely on.
SBA 8(a) Certified
Streamlined federal procurement for data governance programs through SBA 8(a) certification — faster contracting with less overhead.
Federal Data Experience
Deep familiarity with federal data requirements — Privacy Act, FISMA data controls, OMB data policies, and agency-specific governance mandates.
Data Governance Expertise
Practitioners with proven experience designing and implementing governance frameworks, stewardship models, and data catalog programs at enterprise scale.
AI Governance Expertise
Experience aligning data governance to AI governance requirements — NIST AI RMF, responsible AI frameworks, and AI readiness program design.
Analytics Expertise
We understand how governed data translates into analytical value — designing governance that enables analytics and AI rather than constraining them.
IBM Solution Provider
IBM Silver Partner with certified expertise in IBM Data Fabric, IBM Watson Knowledge Catalog, IBM InfoSphere MDM, and IBM DataStage.
Mission-Focused Delivery
Every governance program is designed around mission outcomes — not compliance checkboxes alone. Trusted data enables better decisions and successful AI.
Agile Transformation Experience
Sprint-based delivery that governs priority data domains first, shows value quickly, and builds momentum through measurable quality improvements.
Products That Accelerate This Solution
Purpose-built tools from Synergistic Agility that complement and accelerate Data Fabric & Governance delivery.
Data Governance Dashboard
A real-time governance health dashboard tracking data quality scores, stewardship coverage, policy compliance, and governance program KPIs for CDOs and leadership.
AI Governance Dashboard
An AI governance dashboard that tracks AI model risk, data quality for AI training sets, bias metrics, and NIST AI RMF compliance status across the AI portfolio.
Executive KPI Dashboard
A real-time executive dashboard that surfaces mission-critical KPIs from governed data sources — giving leadership always-current, trusted performance intelligence.
Contract Intelligence Platform
An analytics platform that applies data governance principles to contract data — providing reliable, governed contract portfolio visibility and spend analytics.
Workforce Analytics Portal
A workforce analytics platform built on governed employee data — providing reliable headcount, capacity, attrition, and skills analytics for workforce planning decisions.
Data Steward Portal
A stewardship workflow portal that enables data stewards to review quality issues, approve glossary terms, manage ownership assignments, and track governance tasks.
The Impact Organizations Typically See
Results vary by organization and governance maturity. These benchmarks reflect outcomes observed across comparable data governance and data fabric engagements.
Improved Data Quality
Measurable increase in data quality scores across completeness, accuracy, and consistency dimensions for governed domains
Compliance Posture
Documented governance controls, lineage trails, and audit-ready records that satisfy data-related regulatory requirements
Faster Data Discovery
Reduction in time spent searching for data assets when a governed catalog with metadata and lineage is in place
AI Readiness
Data assets meet the quality, lineage, and governance standards required for responsible AI model development and deployment
Better Decisions
Leaders make decisions based on trusted, governed data rather than questioning every number before acting
Reduced Data Risk
Fewer compliance findings, data incidents, and governance gaps as ownership and accountability are clearly established
Ready to Build Trusted, AI-Ready Data?
Discover how Synergistic Agility can help your organization establish governance, improve data quality, and prepare for analytics and AI transformation — starting with your highest-priority data domain.
(443) 826-6461 · sales@synergisticagility.com · Stevenson, MD 21153 · CAGE 84C72