Make data governance the foundation of modernization
Modernization efforts stall when data governance and compliance are treated as an afterthought. Putting governance first through focused data governance services turns fragmented rules, scattered catalogs, and manual reviews into a single system that protects the business and accelerates value from data.
Without a unified foundation, teams juggle multiple access models, duplicate catalogs, and inconsistent quality checks, which slows work and raises risk. Modern data governance brings security, collaboration, quality monitoring, and cost control into one approach so your data estate works like a system, not a collection of projects.
Foundational governance on a lakehouse platform such as Databricks with Unity Catalog, combined with business governance in tools such as Alation or Atlan, gives you one place to set rules and one language to interpret data. This combination supports AI products, analytics, and day-to-day reporting with the same trusted definitions, so every new initiative starts on solid ground instead of redoing the basics.
Why choose Lumenalta for data governance & compliance solutions
Our teams treat data governance as the first design decision, building unified control across catalogs, platforms, and business domains so every later project moves faster.
Govern from day one
Refine client segmentation
We design data governance and compliance solutions into your architecture from the start so modernization work builds on a stable base instead of patching gaps later.
Unified layers
Catalogs that stay aligned
We align a technical control plane such as Unity Catalog with a business catalog such as Alation or Atlan so discovery, access, and semantics stay consistent across tools.
AI-ready data
Trust every feature
We combine quality checks, lineage, and business semantics so every dataset and feature feeding AI products is documented, monitored, and ready for reuse.
Maturity clarity
Know your next step
We use a structured maturity assessment across discovery, lifecycle, AI readiness, access monitoring, and analytics to pinpoint which governance moves unlock the highest value.
Radical engagement
Ship change every week
Our radical engagement model and ship-weekly rhythm keep stakeholders close to the work so policies, catalogs, and controls reflect what the business actually needs.
Full-stack teams
From control plane up
Senior engineers span strategy, architecture, data platforms, catalogs, and AI so you avoid handoffs and get accountable ownership for outcomes.
Risk and cost
Cut waste, cut fines
We tie data compliance solutions to specific risk and cost metrics, from fewer audit findings to lower platform spend, so governance investments show clear financial return.
Adoption support
People, process, platforms
We stand up data stewardship, literacy programs, and simple playbooks so people understand how to use governed data in daily work, not just in policy documents.
Solve high-impact use cases in data governance and compliance.
Governance-first modernization stops rework before it starts. When your technical control plane and business catalog share one model for access, lineage, and semantics, every project from reporting to AI products moves faster and carries less risk. These data governance and compliance services cut handoffs, shorten audits, and create a clear runway for new data products.
Governance-led data strategy
Treat governance as the structure that shapes your entire data and AI roadmap. We align business goals, regulatory obligations, and platform plans into a roadmap that sequences data governance consulting, platform build, and policy rollout so each phase delivers visible business value.
Unified catalog architecture
Create a single governed view of your data by pairing a centralized catalog such as Unity Catalog with a business data intelligence platform such as Alation or Atlan. Your teams search once, see consistent permissions, and trust that lineage, classifications, and usage are synchronized across tools instead of stitched manually by teams.
Metadata management and lineage
Move beyond scattered spreadsheets and tribal knowledge with structured metadata, cataloging, and automated lineage. Teams get a clear view of how data flows across the estate, which reduces outages, speeds impact analysis, and provides an audit-ready trail for compliance and change management.
Data stewardship and ownership
Establish clear ownership for priority domains, key tables, metrics, and reports so questions stop bouncing between teams. Defined steward roles, issue workflows, and simple decision forums keep data quality and access choices close to the people who understand the business context.
Regulatory compliance and risk
Replace manual sign-offs and one-off controls with structured access policies, auditing, and retention aligned to standards such as GDPR (General Data Protection Regulation), CCPA (California Consumer Privacy Act), or HIPAA (Health Insurance Portability and Accountability Act). You gain predictable audits, faster responses to regulator questions, and a clear record of how sensitive data is accessed and protected.
AI and model governance
Give AI and machine learning teams a governed foundation across data, features, and models. We connect catalogs, feature stores, and monitoring so models are explainable, reproducible, and consistently reviewed, which protects both business outcomes and brand reputation.
Cost and performance control
Use governance telemetry and platform tables to understand usage, performance, and spend across compute, storage, and AI workloads. Clients commonly see double-digit productivity gains across discovery, access control, lineage, and data sharing once governance runs through the catalog instead of through manual processes.
Data literacy and adoption
Pair new controls with simple education so executives, product owners, and analysts share the same language for domains, metrics, and policies. Focused training, office hours, and targeted communications help people trust governed data and retire shadow copies that create noise and risk.
Interested in learning more about our data governance & compliance solutions?
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Data governance and compliance that make AI products stick
Across clients, governance-first modernization moves organizations up the maturity curve across people, processes, and technology, from unpredictable to embedded. Teams spend less time searching for data, explaining metric differences, and responding to audit fires, and more time building AI products and analytics that advance growth and efficiency goals. With a unified control plane and business catalog in place, those gains become repeatable instead of relying on individual heroics.
How Lumenalta accelerates data governance and compliance
Specialized product teams start with an assessment of your current maturity, then define an architecture that unifies foundational catalogs, access control, and business governance on top of your data platforms. We implement changes in short cycles, shipping improvements to discovery, lineage, and security every week so value shows up quickly instead of after a long program. Clear metrics on audit findings, cycle times, and AI product delivery keep executives, data leaders, and tech leaders aligned on progress.
Domain mastery
With an average 12 years of experience, our senior engineers operate at the intersection of skill and value to drive outcomes your business cares about.
Modernize
Digitizing dated processes, modernizing legacy systems, or rebuilding the broken and nonfunctional.
Accelerate
Propel discrete priorities and work streams forward faster than the standard pace of business will commonly allow.
Deep focus
Your project gets full developer mindshare, ensuring undivided attention and innovation without distractions from other clients.
Explore our capabilities
End-to-end digital transformation delivered through a comprehensive suite of technical capabilities.
Interested in learning more about how we optimize data governance & compliance?
Start with a governance-first modernization plan
Share where data governance stands today, and we will outline a clear, pragmatic path to unify your catalogs, reduce risk, and accelerate AI products.
