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Smart Data
An analyst at a desk reviewing financial charts on two screens

Financial services

Data platforms and managed support for financial services

Bank data moved off legacy warehouses and mainframe sources, reporting that holds up to an audit and managed support for the financial systems the business runs on.

Who we work with in financial services

  • Banks

    Warehouse and pipeline modernization off DB2, DataStage and mainframe sources, onto a cloud data platform with tested transformations.

  • Fintech platforms

    Managed ERP integration support for the platforms behind your finance systems.

  • Mortgage, lending and receivables

    Application, data and quality engineering for firms that service loans and manage receivables.

  • Finance teams inside the enterprise

    Approval workflows, audit trails and financial reporting on SAP and other ERPs.

What we build

Governed data and dependable systems for financial services

Financial data has to reconcile, survive an audit and keep reporting running while the platform underneath it changes.

Platform modernizationLegacy warehouses moved without stopping reporting

Data platform modernization

We assess the warehouse and the jobs that feed it, design the target platform and migrate workloads in stages, so production reporting keeps running throughout. When a bank moved off DB2, DataStage and mainframe sources onto Snowflake, our engineers built pipelines and rebuilt transformations as tested dbt models.

  • Legacy warehouse and mainframe migrations, including DB2, DataStage, SQL Server and Oracle estates
  • Databricks
  • Snowflake
  • dbt
Data engineering
Reporting and controlsData with audit trails built in

Regulatory reporting and controls

We build controls into the data platform itself, so audit evidence comes from how the platform runs rather than from a quarterly scramble.

  • Pipelines with change management, lineage and access logs
  • Audit evidence generated from platform metadata
  • Access reviews and logging for compliance reporting
Data governance
Financial analyticsDashboards on governed data

Financial analytics and dashboards

Reporting and dashboards built on governed data, so finance, risk and operations teams read each metric from one governed definition.

  • Power BI and analytics on Microsoft Fabric
  • Forecasting and performance dashboards
  • One governed definition for every metric
  • Power BI
  • Microsoft Fabric
Microsoft Fabric
Managed supportERP and integration support with response times

Managed application and ERP support

A dedicated managed services line for the financial systems and integrations the business depends on, with root-cause engineering rather than ticket triage.

  • Sage 100, Sage Intacct and other ERP integration support
  • Root-cause analysis and fixes documented so issues do not return
  • Monitoring and P1 to P4 response times
Managed services
AI on governed dataAnswers that can be checked

AI on governed financial data

We start with data quality and governance before any automation reaches customers or regulators.

  • AI readiness reviews that map data quality, governance and integration gaps
  • Answers from financial data that come with the query behind them, so they can be checked before anyone acts
AI on your data

How we deliver

Pick the model that fits the program

Server racks in a data center crossed by streaks of light

Support for the systems your business runs on

Monitoring, fixes, updates and enhancements on a monthly plan, with response times set by priority from P1 to P4.

  • Applications, data pipelines and backend processes, legacy systems included
  • Structured monthly support with clear deliverables
  • Includes monitoring, bug fixes and performance updates
View delivery model
  1. Step 1

    Find the right fit

    A scoped project, engineers added to your team or a direct hire. We help you decide.

  2. Step 2

    Assemble the team

    Onshore, offshore or a mix, matched to your timeline, stack and budget.

  3. Step 3

    Start inside your systems

    We work within your environments, your review process and your compliance rules.

  4. Step 4

    Deliver and adjust

    Regular demos and check-ins, with room to change course when the program changes.

Industries

Other industries we work in

The Smart Data team at the Taste of IT 2025 booth
NOV18Wednesday, 2026Taste of ITDAYTON

Taste of IT · November 18

Meet us at Taste of IT

Chris St. Amand and Chad Puterbaugh on “Wrangling Your Data with the Medallion Architecture.” Bronze keeps every source raw, Silver builds trust and Gold feeds dashboards, analysts and AI, on Fabric, Databricks or Snowflake. Prizes in bronze, silver and gold.

30 days away

Meet us there

Next step

Bring us the platform or the reporting that needs to change

Tell us what runs today and what the regulators and the business expect from it. Here is what happens after you reach out.

  1. A short call about your systems and reporting

    What runs today, which regulators and reports it answers to and what is driving the timing.

  2. An engineer looks at what’s running

    Scope comes from your systems as they are, before anything is priced.

  3. You get a written proposal

    Covering scope, team, approach and price.

info@smartdata.net(937) 886-9166

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