Data services for public agencies with reports to fix, systems to connect, and deadlines to meet.
Bring the messy part: scattered files, unclear definitions, late dashboards, manual reporting, vendor handoffs, or an AI idea that needs guardrails. We shape it into scoped work your team can review, procure, and use.
Reports do not match, and no one can explain which number is right.
Data strategy and governance →Data lives in too many places to report on time.
Platforms and cloud modernization →Grant and leadership reports take too long to assemble.
Analytics, dashboards, and performance →Systems do not exchange cleanly, so staff reconcile by hand.
Interoperability and integration →Forms, portals, and handoffs slow people down.
Digital services and design →AI is being discussed before the data, controls, and oversight are ready.
AI readiness and governance →Start with the problem. Then choose the right kind of help.
Most projects do not fit neatly into one box. A dashboard may need governance first. An integration may expose data quality problems. An AI pilot may need a reporting foundation before it needs a model. We combine the right service areas when the work requires it.
Data strategy and governance
Reports disagree. Definitions drift. Ownership is unclear. Sensitive data is either overshared, undershared, or stuck.
We help agencies put enough governance in place to make data usable without creating a committee for every decision. That means clear owners, shared definitions, quality checks, decision rights, and rules for how data can be used or shared.
Common outputs: Governance charter, stewardship roles, data definitions, quality rules, sharing rules, decision rights, issue log, and a practical roadmap.
Data platforms and cloud modernization
The reporting need is modern. The data foundation is not.
We help agencies move from fragile spreadsheets, siloed databases, manual extracts, and aging infrastructure toward a data foundation that can support reporting, analytics, interoperability, and future modernization.
Common outputs: Reference architecture, platform plan, migration roadmap, data pipeline design, warehouse or lakehouse model, security considerations, operating notes, and handoff documentation.
Analytics, dashboards, and performance
The dashboard is not the hard part. Agreeing what it should change is.
We define the decisions, metrics, source data, refresh rules, owners, and review process before anyone starts building charts. The goal is reporting that helps people manage programs, track grants, explain performance, and act sooner.
Common outputs: Dashboard specification, KPI library, metric dictionary, BI model, grant reporting dashboard, executive dashboard, refresh plan, and adoption checklist.
Interoperability and systems integration
When systems do not talk, staff become the interface.
We help map the systems, vendors, standards, interfaces, data flows, and operational risks. Then we design an integration path that can move through procurement, testing, cutover, and production support without depending on heroic manual work.
Common outputs: Interface inventory, integration architecture, API design, HL7/FHIR mapping support, test plan, data flow diagrams, cutover roadmap, and production support plan.
Digital services and human-centered design
A form, portal, or workflow can look finished and still fail the people using it.
We help simplify the path for residents, staff, and partners. That can mean fewer handoffs, clearer language, better accessibility, cleaner forms, or a service flow that matches how the work actually happens.
Common outputs: Journey map, service blueprint, form review, prototype, content rewrite, accessibility findings, workflow recommendations, and implementation plan.
AI readiness and governance
AI pressure is real. So are the risks of using it before the data and controls are ready.
We help agencies separate useful use cases from risky distractions. We look at data readiness, oversight, privacy, procurement, review workflows, and monitoring before a pilot moves forward. Sometimes the right answer is to wait, narrow the use case, or fix the data first.
Common outputs: Use-case inventory, readiness assessment, risk triage, data readiness review, governance controls, review workflow, procurement requirements, and monitoring plan.
Start small. Know what the work is for.
Some agencies need an assessment. Some need a build. Some need help taking over work that already exists. We shape the engagement around the decision, deadline, and handoff.
A fixed-scope answer to one question
A short assessment that names what is wrong, what should change, what it would take, and whether the work is worth doing now.
A bounded build with named deliverables
A bounded implementation with named deliverables, milestone reviews, and clear change control. No surprise scope hiding inside the invoice.
A real handover, planned from day one
Documentation, training, operating notes, and handoff support so your team is not dependent on us to understand what was built.
How we keep the work usable after we leave.
Senior delivery, named up front
The people proposed for the work are the people expected to do the work. Changes are discussed before they affect delivery.
Plain language, not shelfware
We write for the people who have to approve, operate, maintain, or explain the work later.
Documentation built in
Architecture, decisions, assumptions, and operating notes are captured while the work is happening, not reconstructed at the end.
Your work product stays yours
Documents, models, code, specifications, and operating materials are prepared for your use and handoff.
A defined end
Every engagement has a decision, deliverable, milestone, or handoff it is meant to serve. Extensions are explicit.
Not sure which service you need? Start with the problem.
Send the issue, draft scope, RFI, RFP, or deadline. We will tell you the likely service area, the first bounded step, and whether we are the right fit.
info@indianadataworks.com · (317) 316‑5350 · West Lafayette, IN