--- title: "Data, AI and Software Engineering Services | Smart Data" url: https://www.smartdata.net/services description: "Smart Data services: Fabric, Databricks and Snowflake data platforms, AI-assisted modernization, AI on your data, applications, ERP integration and support." source: "Smart Data (smartdata.net). Markdown copy of the page; the HTML page is canonical." --- Services # Data, AI and software engineering services Modern data platforms, AI built on them, and the applications and integrations that run the business, delivered as managed services, scoped projects or engineers on your team. What we do ## Our services, grouped by practice Modern data platforms ### The platforms, pipelines and governance behind reporting and AI The platform, the pipelines and the governance that reporting and AI depend on. Fabric for Microsoft estates, Databricks for heavy engineering and machine learning, and Snowflake for SQL teams that share governed data. - [Microsoft Fabric consulting Platform Platform architecture, migration from SSIS-era pipelines and Power BI on Fabric.](https://www.smartdata.net/services/microsoft-fabric-consulting) - [Databricks consulting Platform Legacy ETL migration with AI-assisted conversion, lakehouse architecture and verification built in.](https://www.smartdata.net/services/databricks-consulting) - [Snowflake consulting Platform We build the full data platform around a Snowflake license: architecture, pipelines, governance and reporting.](https://www.smartdata.net/services/snowflake-consulting) - [Data strategy consulting Where your data stands, what it can support and a roadmap for what to build first.](https://www.smartdata.net/services/data-consultancy) - [Data engineering and architecture Pipelines, warehouses and reporting layers on Fabric, Databricks or Snowflake, run in parallel with the old ones until the numbers match.](https://www.smartdata.net/services/data-engineering) - [Data governance and quality Quality monitoring, access controls, lineage and compliance built into the platform, including the access rules AI has to follow.](https://www.smartdata.net/services/data-governance) - [Power BI and analytics on Fabric Semantic models, Direct Lake and licensing sized with the capacity, on the Fabric platform underneath.](https://www.smartdata.net/services/microsoft-fabric-consulting#power-bi) AI ### AI-assisted builds and AI on your data AI-assisted engineering is how our engineers work. AI on your own governed data is where we help clients go next. - [AI-assisted modernization Vulnerabilities closed, frameworks upgraded and legacy code converted with Claude and other current models.](https://www.smartdata.net/services/ai-assisted-modernization) - [AI on your data Governed, private AI on your own data: schema-grounded answers you can check, model routing and AI cost under control.](https://www.smartdata.net/services/ai-on-your-data) - [AI development Language model features built into the applications your people already use, on the data they depend on.](https://www.smartdata.net/services/ai-development) - [AI readiness workshop One to two weeks on your data, systems and use cases. You leave with a readiness scorecard, a 90-day roadmap of use cases ranked by impact and data readiness, a recommended architecture and a scope for the first build.](https://www.smartdata.net/schedule/ai-readiness-workshop) Applications ### Build and connect the software that runs the business Custom applications, portals and the ERP integrations behind them. - [Application development and modernization Custom web applications, customer and supplier portals, and cloud-native rebuilds of the systems your teams rely on.](https://www.smartdata.net/services/web-solutions) - [ERP and enterprise integration SAP S/4HANA, ECC, NetSuite, Dynamics, Oracle, Epicor and others, connected to each other and to the rest of the business.](https://www.smartdata.net/services/enterprise-integrations) Also in this practice: Salesforce development, SAP Fiori and functional consulting, API development and security testing, cloud-native development and DevOps, QA and testing How we work ### Ongoing support, scoped projects or engineers on your team - [Managed services Support for applications, data pipelines and backend processes, legacy systems included, with P1 to P4 response tiers.](https://www.smartdata.net/how-we-deliver/managed-services) - [Scoped projects We own the project from discovery to launch, with a written scope and milestones you review.](https://www.smartdata.net/how-we-deliver/scoped-work) - [Staff augmentation Developers, data engineers, analysts and architects who work inside your team and your process.](https://www.smartdata.net/how-we-deliver/staff-augmentation) - [Direct placement Contract-to-hire and direct hire, with technical screening built in.](https://www.smartdata.net/how-we-deliver/direct-placement) Case studies ## Recent work across data, AI and applications 78% ### of legacy transformation types handled by the AI-assisted migration tool An AI-assisted tool that converts legacy ETL into tested Databricks pipelines. In a three-month first phase across 177 legacy jobs and scripts, it handled 78% of the legacy transformation types, with tests generated alongside every conversion. - Databricks - ETL & Data Pipelines - Claude [of legacy transformation types handled by the AI-assisted migration tool](https://www.smartdata.net/case-studies/databricks-migration-national-retailer) 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) 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 [Salesforce to Epicor sync time, down from 10 minutes](https://www.smartdata.net/case-studies/yaskawa-motoman-salesforce-integration) 100+ ### engineers today, in a Winsupply center built from zero (40+ in the first year) 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. - Java [engineers today, in a Winsupply center built from zero (40+ in the first year)](https://www.smartdata.net/case-studies/offshore-it-expansion-winsupply) $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+. - SQL Server [in lost Medicaid revenue returned to the health plan](https://www.smartdata.net/case-studies/nfloc-platform-rewrite) Next step ## Tell us what you’re working on Tell us the platform, the systems or the team you need. ### A short call about your project What runs today, what needs to change and the date you’re working toward. ### 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)