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Build a data strategy that leaders can trust.

Data spending keeps rising, yet many leadership teams still struggle to explain how data ties directly to growth, margin, or risk. A clear data strategy gives you that link, turning technology investments into an intentional plan for business outcomes. If you are asking who offers data strategy services that do this well, you likely want proof that each step will show up in revenue, cost, or risk metrics.
Our data strategy services focus on the problems that slow down value today: siloed data, unclear ownership, ad hoc reporting, and mounting regulatory pressure. A practical data strategy and roadmap will show which capabilities to build first, how to retire wasteful work, and where to modernize platforms such as Unity Catalog or AWS Glue Data Catalog without surprises.
With the right data strategy solutions, your teams gain shared definitions, repeatable governance, and trusted datasets for analytics and AI. You reduce risk, cut duplication, and open space for new products and insights that move financial, operational, and customer metrics in the right direction.

Why choose Lumenalta for data strategy

Our data strategy consulting approach pairs senior engineers and leaders with your domain experts so every initiative stays anchored to measurable business results and moves forward every week with visible increments.
Clarity

Data tied to value

We align your data strategy with revenue, cost, and risk goals so every project has a clear business case that leaders can defend in the boardroom.
Governance

Simple, enforceable guardrails

Create unified digital tools that reduce manual admin and improve advisor response times and client satisfaction.
Roadmap

Quarter-by-quarter focus

We build a sequenced data strategy and roadmap that prioritizes high-value initiatives, delivering visible wins in quarters, not years.
Catalog & lineage

Know your data flows

We implement cataloging and lineage patterns using platforms such as Unity Catalog or Alation, so you see where data comes from, how it is used, and who depends on it.
Ownership

Accountability by design

We define stewardship and ownership models that tie every important dataset to named leaders, with responsibilities linked to quality, access, and compliance.
Accessibility

Right data, right hands

We create access patterns and controls that balance self-service analytics with security, so teams get what they need without exposing sensitive data.
Compliance

Regulation-ready data posture

Deliver real-time portfolio and service experiences tuned to individual client goals, behaviors, and communication preferences.
Change support

People-first adoption

Implement modular digital solutions that scale with demand and align with advisor productivity and investor performance metrics.
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Solve high-impact use cases in data strategy.

Data strategy creates value when it resolves stalled initiatives, reduces friction across teams, and makes results visible to leadership. These use cases focus on execution moments where unclear ownership, weak governance, or poor visibility slow progress or raise risk. Each one ties data strategy directly to outcomes leaders care about: speed, cost control, confidence, and accountability.
Enterprise data strategy & roadmap
Clarify what to build, what to delay, and what to retire across your data portfolio. This use case gives leadership a time-bound roadmap that links initiatives to revenue growth, cost reduction, and risk exposure. Teams gain clear priorities, funding stays focused, and delivery stops drifting across disconnected efforts.
Governance frameworks and operating models
Resolve stalled decisions caused by unclear authority and fragmented processes. This use case defines who owns data decisions, how issues are resolved, and how governance shows up in daily work. Leaders see faster approvals, fewer escalations, and consistent outcomes across business units.
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Metadata and catalog modernization
Reduce time lost searching for data, validating definitions, and rebuilding assets that already exist. This use case creates a shared view of available data, its meaning, and its usage through catalogs such as Unity Catalog or Atlan. Teams spend less time verifying inputs and more time delivering insights that leadership can act on.
Data stewardship and ownership
Assign clear owners and stewards for critical data domains, along with measurable expectations for quality, access, and freshness. We structure forums where owners review issues, prioritize fixes, and agree on definitions that stick across teams. Strong ownership will give executives confidence that key numbers are accurate and explainable.

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Access control and data accessibility
Balance speed with protection when more teams need access to data. This use case applies role-based access controls aligned to governance rules using platforms such as Unity Catalog or similar tools. The result is faster access for approved users, fewer security exceptions, and predictable audit outcomes.
Regulatory compliance and risk management
Lower exposure to regulatory findings and unexpected audit work. This use case aligns data strategy to privacy and compliance requirements such as HIPAA (Health Insurance Portability and Accountability Act) and GDPR (General Data Protection Regulation). Evidence stays current, audit preparation effort drops, and compliance risk becomes measurable and manageable.
Data quality monitoring and lineage
Address recurring data issues before they affect reporting or operations. This use case introduces quality thresholds and lineage visibility so teams see where problems originate and which downstream metrics are impacted. Leadership benefits from more reliable forecasting, pricing, and performance reporting.
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Data literacy and adoption
Increase confidence in how data is interpreted and discussed across the organization. This use case embeds data literacy into daily workflows through targeted training and practical playbooks. Leaders experience clearer conversations, faster alignment, and stronger trust in dashboards and reports.
Interested in learning more about our data strategy solutions?

How Lumenalta accelerates data strategy execution

Our teams work side by side with your leaders and subject matter experts, shipping proper increments every week so progress is visible and tied to clear business goals. Senior engineers stay involved from discovery through rollout, so decisions about data platforms, catalogs, and governance never drift from the original value targets. That rhythm will shorten the time to value for data strategy initiatives and give stakeholders confidence that every sprint moves key metrics in the right direction.
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.
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Modernize
Digitizing dated processes, modernizing legacy systems, or rebuilding the broken and nonfunctional.
Graphic to represent re-engineering existing products, software, and systems
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 strategy solutions?
Start your data strategy conversation
Share your goals for growth, cost control, and risk reduction, and we will respond with a focused view of where data strategy consulting will deliver measurable impact first.
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