--- title: "Smart Data | Enterprise data platforms, software and AI" url: https://www.smartdata.net description: "Smart Data builds and runs the systems enterprises depend on: data platforms on Microsoft Fabric, Databricks and Snowflake, AI on your data and applications." source: "Smart Data (smartdata.net). Markdown copy of the page; the HTML page is canonical." --- # Data platforms, AI and the enterprise software they connect to Since 2006 we’ve built and run enterprise software for clients who stay with us for years. Today that work is data platforms on Microsoft Fabric, Databricks and Snowflake, connected to the applications you already run, with AI built on the data once it’s ready. Microsoft Fabric for six entities, inside corporate guardrails Six entities on one SAP system, with entity-level securitySix operating entities on one SAP system, brought into Fabric with entity-level security Since 2006 · Dayton, Ohio, with the Smart Data Global Center in Hyderabad 230+ people What we do ## Our services One governed platform for your data ### Data in a dozen systems and reports that disagree We bring it together on Microsoft Fabric, Databricks or Snowflake, with access rules, lineage and quality checks designed ahead of the first pipeline runs. How we help - [Data strategy](https://www.smartdata.net/services/data-consultancy) - [Data engineering](https://www.smartdata.net/services/data-engineering) - [Data governance and quality](https://www.smartdata.net/services/data-governance) - [Power BI and analytics on Fabric](https://www.smartdata.net/services/microsoft-fabric-consulting#power-bi) Platforms we build on - [Microsoft Fabric](https://www.smartdata.net/services/microsoft-fabric-consulting) - [Databricks](https://www.smartdata.net/services/databricks-consulting) - [Snowflake](https://www.smartdata.net/services/snowflake-consulting) AI on your data, and in how we build ### AI pilots that never make it to production The first question we ask on any AI project is how much you trust the data underneath. Our engineers also use current models to clear security backlogs and upgrade older code. - [AI-assisted modernization](https://www.smartdata.net/services/ai-assisted-modernization) - [AI on your data](https://www.smartdata.net/services/ai-on-your-data) - [AI development](https://www.smartdata.net/services/ai-development) - [AI readiness workshop](https://www.smartdata.net/schedule/ai-readiness-workshop) Build on the systems you already run ### Core applications that are old, disconnected or hard to change We build ERP integrations and APIs, customer and supplier portals, and modern versions of the older applications your teams rely on every day. - [Application development](https://www.smartdata.net/services/web-solutions) - [ERP and enterprise integration](https://www.smartdata.net/services/enterprise-integrations) - [Customer and supplier portals](https://www.smartdata.net/services/web-solutions#apps) - [Legacy system modernization](https://www.smartdata.net/services/web-solutions#legacy) We keep it running ### A platform in production with no owner We take on the monitoring, support and upgrades, for the systems we built and the ones we didn’t, with P1 to P4 response times. - [Managed services](https://www.smartdata.net/how-we-deliver/managed-services) - [Scoped projects](https://www.smartdata.net/how-we-deliver/scoped-work) - [Smart Data Global Center](https://www.smartdata.net/about-us/smart-data-global-center) Platforms ## The architecture is the constant, the platform is a choice Three platforms we build on and run. Start with the one closest to where your data and your team already are. ### Microsoft Fabric Start here if Your team is lean and already runs on Microsoft Fabric puts data engineering and Power BI reporting on one platform that runs on a single capacity. For a small IT team already on Azure and Microsoft 365, it’s usually the shortest and most affordable path to a complete platform. - [Microsoft FabricStart here ifYour team is lean and already runs on Microsoft](https://www.smartdata.net/services/microsoft-fabric-consulting) - [DatabricksStart here ifThe work needs heavy engineering, machine learning or streaming](https://www.smartdata.net/services/databricks-consulting) - [SnowflakeStart here ifYour team works in SQL and shares governed data](https://www.smartdata.net/services/snowflake-consulting) ### Not sure which platform fits? Where does your data already live? Case studies ## Recent work Engagements across data platforms, AI, software and managed services. $16M+ in lost Medicaid revenue returned to the health plan Hired to add a state-mandated code to a health plan’s nursing facility file, our team noticed the process was mishandling records. The plan confirmed it, filed corrections and recovered $16M+. - Data quality - Medicaid data - SQL Server [HealthcareHealth plan provider$16M+in lost Medicaid revenue returned to the health planHired to add a state-mandated cod](https://www.smartdata.net/case-studies/nfloc-platform-rewrite) 10 sec Salesforce to Epicor sync time, down from 10 minutes Syncs between Salesforce and Epicor took up to ten minutes. The rebuilt integration syncs in under ten seconds, and it shipped a week early and 6% under budget. - Salesforce - Epicor [Manufacturing and industrial10 secSalesforce to Epicor sync time, down from 10 minutesSyncs between Salesforce and Epico](https://www.smartdata.net/case-studies/yaskawa-motoman-salesforce-integration) Phase one complete on SAP ECC to Microsoft Fabric for six entities Six operating entities on one SAP ECC 6.0 system, brought into Fabric with no RFC bulk extraction and entity-level security. The client's Basis and SAP teams found the process much easier than they expected. - SAP Integration - Data platform [Manufacturing and industrialGlobal industrial groupPhase one complete on SAP ECC to Microsoft Fabric for six entitiesSix](https://www.smartdata.net/case-studies/sap-ecc-microsoft-fabric-industrial) 100+ engineers today, in a center built from zero Winsupply’s own development center in Hyderabad, built from zero with Smart Data: 40+ engineers in the first year, grown to 100+, working across five business domains. - Staff augmentation - Angular - Java [Retail and distribution100+engineers today, in a center built from zeroWinsupply’s own development center in Hyderabad, ](https://www.smartdata.net/case-studies/offshore-it-expansion-winsupply) A customer portal on live SAP and Dynamics CRM data MyDavey puts SAP, Dynamics CRM and CMS data in one customer portal through real-time OData services, so customers look things up instead of calling. - React - .NET Core - Azure [Manufacturing and industrialA customer portal on live SAP and Dynamics CRM dataMyDavey puts SAP, Dynamics CRM and CMS da](https://www.smartdata.net/case-studies/customer-portal-integration) Managed services for payments-to-ERP integrations Nuvei’s clients get a dedicated managed services team at the payments-to-ERP integration layer, covering Sage 100, Sage Intacct and more ERPs on the roadmap. - Managed services - Sage 100 - Sage Intacct [Financial servicesManaged services for payments-to-ERP integrationsNuvei’s clients get a dedicated managed services team](https://www.smartdata.net/case-studies/managed-services-nuvei-payments-erp) A custom LMS for the internal sales team A custom LMS for Google’s sales team, with Drive integration, two-way sync to their enablement platform and governance built in. - TypeScript - Python [TechnologyA custom LMS for the internal sales teamA custom LMS for Google’s sales team, with Drive integration, two-way ](https://www.smartdata.net/case-studies/custom-lms-for-google-sales-team) 620+ known vulnerabilities eliminated across the customer portals One AI-assisted senior engineer closed every known vulnerability ahead of plan, then started consolidating five to six copies of the codebase into one set of services. About $78K a year projected, over $25K a year already realized. - AI-assisted modernization [Retail and distributionNational distributor620+known vulnerabilities eliminated across the customer portalsOne AI-assist](https://www.smartdata.net/case-studies/application-security-remediation-multi-tenant-consolidation) Industries ## Industries we work in ### Healthcare Patient, pharmacy and clinical data systems held to HIPAA, including where AI is allowed to touch them. - Medicaid programs - Pharmacy services - Clinical documentation [Healthcare](https://www.smartdata.net/industries/healthcare) ### Manufacturing and industrial ERP, shop-floor and supplier data on one platform, so plant reporting and finance reporting reconcile. - SAP and ERP reporting - Shop-floor integration - Supplier portals [Manufacturing and industrial](https://www.smartdata.net/industries/manufacturing) ### Retail and distribution Order, inventory, credit and customer data connected across portals, branches and the platforms behind them. - Vendor and customer portals - Order and credit systems - Data platforms [Retail and distribution](https://www.smartdata.net/industries/retail) ### Financial services Bank data platforms, reporting that holds up to an audit and managed support for the financial systems the business runs on. - Bank data platforms - Managed ERP support - Legacy migration [Financial services](https://www.smartdata.net/industries/banking-financial-services) ### Insurance Claims, member and policy systems for health plans and insurers. - Health plans - Claims data - Member apps [Insurance](https://www.smartdata.net/industries/insurance) About Smart Data ## From enterprise software to data platforms and AI Since 2006 we have built and supported enterprise software for organizations that run complex systems for the long term. Today that experience shapes our work in data platforms and AI, because a new platform has to connect to the applications, people and processes already running the business. 2006 Founded 230+ People in Dayton and Hyderabad > “Smart Data is flexible and a good partner to work with when you’re trying to solve your company’s unique business problems.” Christopher SchrameckVP, Information Technology, Winsupply Insights ## Articles, talks and events Announcement · August 2026 ### Smart Data at Dayton AI Day 2026: Getting Verifiable Answers Out of Enterprise Data [Smart Data at Dayton AI Day 2026: Getting Verifiable Answers Out of Enterprise Data](https://www.smartdata.net/blog/dayton-ai-day-2026) Announcement · May 2026 ### Smart Data Joins the Databricks Partner Network [Smart Data Joins the Databricks Partner Network](https://www.smartdata.net/blog/smart-data-joins-the-databricks-partner-network) AI & Data Insights · April 2026 ### AI Has Outrun the Infrastructure Underneath It. Here Are 5 Signals From April 2026 [AI Has Outrun the Infrastructure Underneath It. Here Are 5 Signals From April 2026](https://www.smartdata.net/blog/ai-infrastructure-reckoning-april-2026) ### Not sure your data is ready for AI? The AI Enablement Guide shows how to judge where you stand before the pilot. Next step ## Talk to us about scope Here is what happens after you reach out. ### A short call about what you’re trying to do What is running today, what needs to change and what is driving it. ### An engineer looks at what’s running Scope comes from your systems as they are, before anything is priced. ### You get a written proposal Covering scope, team, approach and price. [info@smartdata.net](mailto:info@smartdata.net)[(937) 886-9166](tel:+19378869166)