Your leadership asks how a contract is really doing and the answer takes a day of stitching four exports together
Custom business intelligence dashboards for a Hampton defense or maritime firm run $45k to $110k and 3 to 6 months. You build beyond Tableau, Power BI, or Looker once your metrics, contract burn, indirect rates, labor utilization, certification status, must come from sources those tools can't cleanly unify. The trigger is usually a leadership question that takes a day of stitching exports to answer.
Your leadership wants to know how a contract is really doing, burn against funding, indirect rate variance, labor utilization, schedule. The honest answer lives in four systems: project data in Jira, cost in QuickBooks plus a pool spreadsheet, labor in a timekeeping tool, certifications in a binder. Power BI can connect to some of it, but it can't reconcile your indirect rate pools or understand what contract burn means against a CLIN ceiling. So 'how's the contract doing' takes a day of manual stitching.
Tableau and Looker are powerful, but they assume your data is already clean and your metrics are standard. Yours aren't. An indirect rate variance isn't a column you sum, it's a computation tied to your CASB disclosure. Contract burn against an IDIQ ceiling isn't a chart template. The off-the-shelf BI tool can visualize anything once the hard part, defining and reconciling defense-contract metrics, is already done, and that's exactly the part it doesn't do.
What business intelligence dashboards costs in Hampton
| Project scope | Typical cost | Timeline |
|---|---|---|
| Unified model + core contract dashboards | $45k to $70k | 3 to 4 months |
| Add indirect-rate + compliance roll-ups | $70k to $90k | 4 to 5 months |
| Full BI platform with drill-down + access control | $90k to $110k | 5 to 6 months |
The fix: business intelligence dashboards built for Hampton, not rented
Custom BI does the hard part the off-the-shelf tools skip: it defines and reconciles your real metrics. It pulls contract, cost, labor, and certification data into one model, computes indirect rate variance against your CASB disclosure, and shows contract burn against funding ceilings the way a program manager actually thinks about it. Leadership gets the real answer in a glance instead of a day of stitching.
- A 'how's the contract doing' question takes a day of stitching exports
- Your key metrics require computation Power BI can't do natively
- Contract, cost, labor, and certification data never reconcile in one view
- Leadership decisions are delayed waiting for hand-built reports
- Your metrics are standard and your data already lives in one clean source
- Power BI or Tableau connects to everything you need without reconciliation
- You don't have defense-contract metrics like indirect rates or CLIN burn
- A template dashboard already answers your leadership's questions
The capability list that earns its budget
What we build under business intelligence dashboards in Hampton
Everything a business intelligence dashboards build here can cover: Looker, real-time analytics, KPI dashboards, data warehouse, embedded analytics and business intelligence dashboards.
How long it takes, phase by phase
Exactly what you get
Dashboards that answer the real question. Contract, cost, labor, and certification data are reconciled into one model, indirect rate variance is computed against your CASB disclosure, and contract burn shows against CLIN and IDIQ ceilings the way a program manager thinks. Leadership drills from a portfolio view to a single contract's numbers in seconds, and 'how's the contract doing' stops costing a day of stitching.
How to choose a developer in Hampton
Hire a team that treats data modeling, not chart design, as the work. Ask how they'll reconcile your four source systems and compute an indirect rate variance, not which color scheme they'll use. Pull data from your custom ERP (Enterprise Resource Planning), accounting software, project management software, and HR (Human Resources) software so the dashboards reflect one reconciled truth instead of four conflicting exports.
- One reconciled model unifying contract, cost, labor, and certification data
- Indirect rate variance computed against your CASB disclosure, not faked in a chart
- Contract burn against CLIN and IDIQ ceilings shown the way program managers think
- Leadership answers in a glance instead of a day of manual export stitching
- Drill-down from a portfolio view to a single contract's underlying numbers
- The value is in the data modeling, which is the expensive, unglamorous part
- Garbage-in still applies if source data is messy, the dashboard inherits it
- Requires defense-finance literacy to define metrics correctly
- If your metrics are genuinely standard, Power BI alone may suffice
- !They jump straight to chart design ask how they'll reconcile four source systems
- !No grasp of indirect rates ask how they'd compute variance against a CASB disclosure
- !They assume your data is clean ask how they handle messy sources
- !No contract-burn concept ask how they'd show burn against a CLIN ceiling
- !No access-control plan ask how leadership and finance see different detail
If business intelligence dashboards is on the roadmap, helpdesk & ticketing, erp, custom software usually follow within the year. Budget them as one conversation.
Rohan advises mid-market and enterprise teams on ERP, CRM and custom software, and has led delivery on dozens of business-software builds.
Writes for Digital Heroes, shipping business software for 2,000+ brands across 55+ countries since 2017.
Frequently asked questions
What do custom BI dashboards cost in Hampton?
Expect $45k to $110k over 3 to 6 months. A unified data model with core contract dashboards runs $45k to $70k; adding indirect-rate and compliance roll-ups reaches $90k; a full BI platform with drill-down and access control tops out near $110k.
Why isn't Power BI or Tableau enough?
They visualize beautifully once your data is clean and your metrics are standard. Defense-contract metrics like indirect rate variance and CLIN burn aren't standard columns, they're computations tied to your CASB disclosure that those tools can't do natively.
What's the hard part of a BI build?
The data modeling, reconciling contract, cost, labor, and certification data from four systems into one trustworthy source, and defining metrics correctly. The charts are easy once that's done, which is exactly the part off-the-shelf BI tools leave to you.