--- title: "Industries We Serve | Smart Data" url: https://www.smartdata.net/industries description: "Software, data platform and AI work for healthcare, manufacturing, retail and distribution, financial services and insurance, with case studies for each." source: "Smart Data (smartdata.net). Markdown copy of the page; the HTML page is canonical." --- Industries # Industries we serve Twenty years of software and data work for health plans, manufacturers, retailers and distributors, banks and insurers, much of it for clients we have worked with for a decade or more. Our industries ## Where our work happens ### [Healthcare](https://www.smartdata.net/industries/healthcare) Healthcare is our deepest industry: more than ten years of member, care and claims systems for a Medicaid health plan, a dedicated data team for a pharmacy services provider, and clinical software that has run in production for more than fifteen years. - Health plans and Medicaid managed care - Pharmacy services - Clinical and healthcare software - In-home care ### [Manufacturing and industrial](https://www.smartdata.net/industries/manufacturing) ERP integration, shop-floor systems and data platforms for manufacturers on SAP, Epicor and NetSuite, including SAP ECC data brought onto Microsoft Fabric for a global industrial engineering group. - Industrial automation and equipment - Global industrial groups on SAP - Packaging, building materials and chemicals - Multi-ERP manufacturers ### [Retail and distribution](https://www.smartdata.net/industries/retail) Data platform migrations for national retailers, and order, portal and ERP systems for distributors, including a long-running engineering partnership with one of the largest industrial distributors in the US. - National retailers - Wholesale and industrial distribution - Food and beverage service - Ecommerce and direct to consumer ### [Financial services](https://www.smartdata.net/industries/banking-financial-services) Bank data moved off DB2, DataStage and mainframe sources onto Snowflake and dbt, and dedicated managed services for the ERP integrations behind a global fintech platform. - Banks - Fintech platforms - Mortgage, lending and receivables - Enterprise finance teams ### [Insurance](https://www.smartdata.net/industries/insurance) Claims, member and policy systems for health plans and insurers, built on the same health plan work that returned $16M+ in lost Medicaid revenue, plus integration and data work for commercial insurers. - Payers and benefits companies - Claims and recovery services - Commercial insurers ### Technology and software companies We also build for technology and software companies: multi-tenant products, internal tools and the data pipelines behind them, for firms that sell what we build to their own customers. Case studies ## More recent work across industries 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 Development - Angular - .NET Core [known vulnerabilities eliminated across the customer portals](https://www.smartdata.net/case-studies/application-security-remediation-multi-tenant-consolidation) ### SAP ECC 6.0 to Microsoft Fabric for a global industrial group 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. - Microsoft Fabric - SAP Integration - Lakehouse Architecture [SAP ECC 6.0 to Microsoft Fabric for a global industrial group](https://www.smartdata.net/case-studies/sap-ecc-microsoft-fabric-industrial) ### Reducing data quality issues across four migrated programs Turnover had taken the onboarding knowledge with it. Recurring data quality issues across SSIS and MuleSoft feeds were fixed, onboarding was documented and four programs were migrated. - ETL & Data Pipelines - SSIS - MuleSoft [Reducing data quality issues across four migrated programs](https://www.smartdata.net/case-studies/enterprise-grade-data-quality-for-a-pharma-services-provider) 15+ yrs ### of continuous production across multiple clinical sites iDocData, rebuilt as a clinical workflow platform physicians configure themselves, with their own surveys, automated patient outreach and Epic HL7 integration. In production across multiple clinical sites for 15+ years. - React - Java - AWS [of continuous production across multiple clinical sites](https://www.smartdata.net/case-studies/scalable-emr-transformation-for-idocdata) ### From green-screen to modern web for one of America's largest industrial distributors Winsupply’s IBM RPG order management, moved to an Angular and Java web platform where customers manage their own orders and see their supply chain. - Spring Boot [From green-screen to modern web for one of America's largest industrial distributors](https://www.smartdata.net/case-studies/winsupply-order-management-modernization) ### Unified data pipeline from three charging platforms to a Snowflake dashboard Charger and fleet data from Synop, Geotab and Ampcontrol unified through AWS serverless pipelines into Snowflake, behind a customer dashboard on live data. - TypeScript [Unified data pipeline from three charging platforms to a Snowflake dashboard](https://www.smartdata.net/case-studies/project-ev-data-pipeline) Next step ## Talk to us about your industry Tell us what you're modernizing, integrating or building, and we'll bring people who have done that work in your industry. ### A short call about your project What runs today, what needs to change and the rules your industry holds you to. ### 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)