Transform your data into power
Ensure Compliance and Enhance Efficiency with Expert Data Solutions
Navigating complexity. Ensuring compliance.
In today’s fast-paced tech landscape, the rise of AI and data automation brings new challenges in data privacy, governance, and retention. Tavant streamlines this complex terrain by delivering AI-enhanced solutions that transform intricate data into compliant, efficient outcomes. From advanced GenAI-driven privacy management to pioneering AI-first compliance automation, we ensure your enterprise not only adheres to strict regulations but also excels in safeguarding customer information. Embrace Tavant’s expertise to confidently navigate data regulations and distinguish your business in a competitive marketplace.
Perspectives
Offerings
Data Quality
Data Validation
Automate data validation to improve completeness, consistency, and accuracy.
Cleansing & Enrichment
Clean and enrich enterprise data to improve usability and decision quality.
Quality Monitoring
Continuously monitor data quality issues, thresholds, and remediation actions.
Data Trust
Establish reliable data foundations that support critical business decisions.
Data Discovery
Asset Discovery
Identify data assets across distributed environments quickly and consistently.
Metadata Management
Capture and manage metadata to strengthen context, governance, and usability.
Data Classification
Classify enterprise data to simplify governance, privacy, and security controls.
Search & Access
Improve data findability and access through intelligent discovery experiences.
Data Lineage
End-to-End Lineage
Trace data from source to consumption across complex enterprise ecosystems.
Impact Analysis
Assess upstream and downstream impacts before data or pipeline changes occur.
Auditability
Maintain transparent data histories that support audit and compliance requirements.
Trust & Transparency
Improve confidence in data through clear ownership, lineage, and accountability.
Data Security
Access Controls
Apply robust identity and access controls across enterprise data environments.
Encryption
Protect sensitive data using encryption across storage, movement, and processing.
Continuous Monitoring
Monitor data environments continuously for security risks and policy violations.
Sensitive Data Protection
Safeguard sensitive information with policy-driven security and governance.
Data Collaboration
Governed Sharing
Enable secure, governed data sharing across teams, partners, and ecosystems.
Data Clean Rooms
Support privacy-safe collaboration without exposing sensitive underlying data.
Privacy Controls
Embed privacy and compliance controls into cross-enterprise data workflows.
Ecosystem Collaboration
Create trusted data partnerships while maintaining governance and control.
Master Data Management
Golden Records
Create trusted master records that establish a reliable source of enterprise truth.
Entity Resolution
Match and reconcile critical entities across fragmented enterprise systems.
Data Standardization
Standardize master data definitions, rules, formats, and quality expectations.
Enterprise Synchronization
Synchronize trusted master data across analytics and operational systems.
Tavant Advantage
Comprehensive Data Governance
Integrate frameworks for security, accessibility, and compliance.
AI-Powered Compliance Automation
Embed governance controls for seamless regulatory adherence.
Cross-Industry Expertise
Proven success in Lending, Manufacturing, AgTech, and more.
Scalable Data Architectures
Future-ready solutions ensuring integrity, governance, and compliance.
2x Data Quality Improvement
Strengthen decision-making and operational efficiency with a two-fold boost in Data Quality Index
Tavant doesn't just know the mortgage insurance industry — they bring perspective from other verticals that helps us think differently about how we compete.
George Reichert
Chief Information Officer, Genworth Financial
The platform is so intuitive that we're getting compliments on ease of use across our dealer network, with minimal training required.
Lisa Schosker
Director, Global Warranty Administration, AGCO Corporation
Tavant came in already understanding our industry, which let us ramp up quickly without sacrificing quality.
Sherry Samuels
Senior Director, CoreLogic
Tavant Data Governance & Compliance
Govern Data. Build Trust.
Improve data quality, lineage, security, and control with governance foundations that make enterprise data trusted, compliant, and ready for AI.
FAQs
Three areas: AI/ML Solution Development (custom models for specific business problems), AI/ML Platform Development (scalable platforms and reference architectures), and Architecture & Design Consulting (strategic guidance on AI use cases and ROI).
Customer segmentation, fraud detection, predictive maintenance, and supply chain optimization, among other high-impact business use cases.
Design of robust reference architectures and scalable AI/ML platforms, along with management and operational modules to support model management, operationalization, and alignment with enterprise-wide data and AI strategy.
Identifying high-value AI use cases, aligning initiatives with broader strategic goals, and designing scalable architectures — backed by feasibility studies and ROI analyses to help optimize AI investments.
Tavant frames this as the central decision in AI adoption, and positions its AI/ML model development service to help you choose and execute the right path — combining speed, flexibility, and enterprise-grade governance whichever direction you take.
AWS SageMaker, Google Vertex AI, and Azure ML Studio, with a focus on getting models into production, not just prototyping.
Through enterprise-grade data governance aligned with standards like HIPAA and GDPR.
Lending, Manufacturing, Agtech, and Media, among others, per Tavant’s cross-industry AI domain knowledge.
Examples include up to a 10–15% improvement in model accuracy for a real estate company’s property analytics, and up to a 20% revenue uplift from an AI-powered cross-sell and upsell engine built for a food delivery platform.
Both — the service is explicitly full-cycle, covering AI development, deployment, and maintenance, plus AI Ops and automation so models continuously learn and improve in production rather than degrading after launch.