Your data is spread across a dozen systems, your team is maintaining pipelines instead of building capabilities, and the AI initiative leadership approved six months ago still has not produced results. Smart Data helps mid-market and enterprise organizations fix the foundation so analytics and AI actually deliver. 20 years of enterprise delivery. Snowflake, Azure, Fabric, dbt, and the architecture that connects them.
Your data is spread across a dozen systems, your team is maintaining pipelines instead of building capabilities, and the AI initiative leadership approved six months ago still has not produced results. Smart Data helps mid-market and enterprise organizations fix the foundation so analytics and AI actually deliver. 20 years of enterprise delivery. Snowflake, Azure, Fabric, dbt, and the architecture that connects them.
Trusted by great businesses like:
Trusted by great businesses like:
Our Data Services
Our Data Services
What a Data Consultancy Actually Does
Governance That Works in Production, Not Just in Policy Documents
What a Data Consultancy Actually Does
Data Platform Modernization
Most enterprises are running data infrastructure that was designed for a different era. Legacy warehouses, fragmented SQL Server instances, AS/400 systems, and data lakes that became data swamps. We assess what you have, design the target architecture, and migrate your workloads to a modern platform without disrupting the operations that depend on them.
Legacy warehouse migrations from SQL Server, Oracle, Teradata, and AS/400
Cloud platform architecture on Snowflake, Azure Synapse, Databricks, or Fabric
Parallel cutover strategy so production reporting continues throughout migration
Data Platform Modernization
Most enterprises are running data infrastructure that was designed for a different era. Legacy warehouses, fragmented SQL Server instances, AS/400 systems, and data lakes that became data swamps. We assess what you have, design the target architecture, and migrate your workloads to a modern platform without disrupting the operations that depend on them.
Legacy warehouse migrations from SQL Server, Oracle, Teradata, and AS/400
Cloud platform architecture on Snowflake, Azure Synapse, Databricks, or Fabric
Parallel cutover strategy so production reporting continues throughout migration
Data Platform Modernization
Most enterprises are running data infrastructure that was designed for a different era. Legacy warehouses, fragmented SQL Server instances, AS/400 systems, and data lakes that became data swamps. We assess what you have, design the target architecture, and migrate your workloads to a modern platform without disrupting the operations that depend on them.
Legacy warehouse migrations from SQL Server, Oracle, Teradata, and AS/400
Cloud platform architecture on Snowflake, Azure Synapse, Databricks, or Fabric
Parallel cutover strategy so production reporting continues throughout migration
$16M Recovered. One Data Quality Assessment.
$16M Recovered. One Data Quality Assessment.
$16M Recovered. One Data Quality Assessment.
Smart Data found $16M in unrecovered Medicaid revenue for a healthcare payer by identifying data discrepancies that existing systems missed. That discovery came from a focused data assessment, not a 6-month engagement. We run the same kind of assessment for organizations starting a platform migration, evaluating AI readiness, or trying to understand why their analytics do not match reality.
Smart Data found $16M in unrecovered Medicaid revenue for a healthcare payer by identifying data discrepancies that existing systems missed. That discovery came from a focused data assessment, not a 6-month engagement. We run the same kind of assessment for organizations starting a platform migration, evaluating AI readiness, or trying to understand why their analytics do not match reality.
Case Studies
Data Delivery at Enterprise Scale
Case Studies
Data Delivery at Enterprise Scale
Case Studies
Data Delivery
Our Process
How We Deliver Data Projects
How We Deliver Data Projects
Every engagement starts with understanding what you have, what you need, and where the gaps are. Then we build.
01
Phase 1: Discovery and Architecture Review
01
AI Labs Workshop
2-3 weeks • data landscape • quality baselines • architecture review
We map your current data sources, pipelines, platform architecture, and quality baselines. The output is a prioritized roadmap that identifies the highest-impact improvements and the dependencies between them. This phase delivers standalone value and is designed as an entry-point engagement.
02
Phase 2: Architecture and Design
02
3-4 weeks • target architecture • migration plan • technology selection
We design the target data architecture based on what the assessment revealed. Platform selection, pipeline design, data model strategy, and governance framework. Every design decision is tied to a business requirement and a measurable outcome, not theoretical best practices.
03
Phase 3: Build and Migrate
02
03
4-8 weeks • pipeline development • platform migration • testing
We build the data infrastructure in your production environment. Pipelines deployed, data migrated, transformations tested, dashboards connected, and governance controls configured. Parallel cutover ensures production workloads continue throughout the transition.
04
Phase 4: Ongoing Support and Optimization
03
04
Ongoing • stewardship workflows • advisory
We transfer ownership to your internal teams with documented procedures, monitoring dashboards, and runbooks in place. Ongoing support is available as managed services for organizations that want a long-term data partner rather than a one-time project.
Our Industries
Data Consultancy Across Industries
Our Industries
Data Consultancy Across Industries
Our Industries
Data Consultancy Across Industries
Why Us?
Why Organizations Choose Smart Data for Data Governance
!
20 Years of Enterprise Delivery
Founded in 2006. CareSource, Winsupply, Valeris, Davey Tree, and dozens of other enterprises trust Smart Data to build and maintain their data infrastructure. From healthcare payers to global manufacturers, we deliver where the data matters most.
!
Long-Term Partner, Not a Vendor
Our longest client relationship is 15 years and counting. We build for the long term because we stay for the long term. Managed services, staff augmentation, or project delivery.
!
The Same Team Throughout
The engineers who assess your governance gaps are the engineers who build the solution. No handoffs from advisory to delivery to offshore teams. Senior practitioners do the work.
!
The Full Stack, Not Just Consulting
We do not hand you a strategy document and leave. We design the architecture, build the pipelines, deploy the dashboards, and support the platform after go-live. Delivery, not just advice.
Why Us?
Why Organizations Choose Smart Data for Data Governance
!
20 Years of Enterprise Delivery
Founded in 2006. CareSource, Winsupply, Valeris, Davey Tree, and dozens of other enterprises trust Smart Data to build and maintain their data infrastructure. From healthcare payers to global manufacturers, we deliver where the data matters most.
!
Long-Term Partner, Not a Vendor
Our longest client relationship is 15 years and counting. We build for the long term because we stay for the long term. Managed services, staff augmentation, or project delivery.
!
The Same Team Throughout
The engineers who assess your governance gaps are the engineers who build the solution. No handoffs from advisory to delivery to offshore teams. Senior practitioners do the work.
!
The Full Stack, Not Just Consulting
We do not hand you a strategy document and leave. We design the architecture, build the pipelines, deploy the dashboards, and support the platform after go-live. Delivery, not just advice.
Why Us?
Why Organizations Choose Smart Data for Data Governance
!
20 Years of Enterprise Delivery
Founded in 2006. CareSource, Winsupply, Valeris, Davey Tree, and dozens of other enterprises trust Smart Data to build and maintain their data infrastructure. From healthcare payers to global manufacturers, we deliver where the data matters most.
!
Long-Term Partner, Not a Vendor
Our longest client relationship is 15 years and counting. We build for the long term because we stay for the long term. Managed services, staff augmentation, or project delivery.
!
The Same Team Throughout
The engineers who assess your governance gaps are the engineers who build the solution. No handoffs from advisory to delivery to offshore teams. Senior practitioners do the work.
!
The Full Stack, Not Just Consulting
We do not hand you a strategy document and leave. We design the architecture, build the pipelines, deploy the dashboards, and support the platform after go-live. Delivery, not just advice.
Our Services
Related Services
Related Services
AI Development
Custom AI integrations, LLM applications, and predictive analytics grounded in reliable data foundations.
AI Development
Custom AI integrations, LLM applications, and predictive analytics grounded in reliable data foundations.
AI Development
Custom AI integrations, LLM applications, and predictive analytics grounded in reliable data foundations.
Data Engineering
Production-grade pipelines, warehousing, and real-time reporting built to scale with your data operations.
Data Engineering
Snowflake Consulting
Snowflake implementation, migration, and optimization on Azure with dbt, Power BI, and Azure Data Factory.
Snowflake Consulting
Healthcare Data Analytics
HIPAA-governed data platforms, clinical analytics, and compliance reporting for healthcare organizations.
Healthcare Data Analytics
Frequently Asked Questions
What does a data consultancy do?
A data consultancy helps organizations design, build, and maintain their data infrastructure. That includes modernizing legacy data platforms, engineering reliable pipelines, building analytics architecture, assessing AI readiness, implementing governance, and providing ongoing managed services. The goal is to turn fragmented, unreliable data into a foundation that supports analytics, AI, and operational decision-making.
How much does a data consultancy engagement cost?
When should a company hire a data consultancy instead of building in-house?
What industries does Smart Data serve?
What technologies do you work with?
How is Smart Data different from larger consulting firms?
Frequently Asked Questions
What does a data consultancy do?
How much does a data consultancy engagement cost?
When should a company hire a data consultancy instead of building in-house?
What industries does Smart Data serve?
What technologies do you work with?
How is Smart Data different from larger consulting firms?
Frequently Asked Questions
What does a data consultancy do?
A data consultancy helps organizations design, build, and maintain their data infrastructure. That includes modernizing legacy data platforms, engineering reliable pipelines, building analytics architecture, assessing AI readiness, implementing governance, and providing ongoing managed services. The goal is to turn fragmented, unreliable data into a foundation that supports analytics, AI, and operational decision-making.
How much does a data consultancy engagement cost?
When should a company hire a data consultancy instead of building in-house?
What industries does Smart Data serve?
What technologies do you work with?
How is Smart Data different from larger consulting firms?