Your Power BI dashboard is gorgeous and still can't tell you which moves lost money
A custom BI dashboard build for a Savannah operation runs $35k to $100k over 2 to 5 months. Go custom when Tableau or Power BI looks polished but can't unify the data that matters: demurrage by customer, tour profitability by season, plant throughput by shift. Off-the-shelf BI is fine when your data already lives clean in one warehouse. In Savannah it rarely does.
You bought Power BI and built beautiful dashboards, and they still can't answer the question that keeps you up: which container moves actually lost money once demurrage, chassis, and detention are netted out. The data is scattered, the TMS has the moves, the accounting system has the charges, the terminal feed has the gate events, and Power BI sits on top of whichever single source someone connected it to. The dashboard is honest about a fraction of the truth.
Tableau, Power BI, and Looker are visualization layers; they're only as good as the unified data beneath them, and Savannah operations rarely have that. The hard, expensive part isn't the chart, it's joining demurrage to the move that caused it, tour revenue to the season and weather, plant output to the shift. Off-the-shelf BI assumes that join already exists. When it doesn't, you get a pretty dashboard that confidently shows you the wrong number.
The case for owning your business intelligence dashboards
A custom BI build does the hard part: it unifies operational and financial data into a model that can answer real questions, then puts dashboards on top. For a Savannah leader who needs to know which moves lost money, which tours print cash, or which shift runs the plant best, that unified data layer is the actual product. The charts are the easy 20%.
What your build should include
What we build under business intelligence dashboards in Savannah
The engagements Savannah teams bring us most often: data visualization, Tableau alternative, Power BI, Looker, real-time analytics and KPI dashboards.
Budgeting a business intelligence dashboards build in Savannah
| Project scope | Typical cost | Timeline |
|---|---|---|
| Data model + core dashboards | $35k to $65k | 2 to 3 months |
| Full BI with multi-source pipeline | $70k to $100k | 3 to 5 months |
| Source integrations and refresh automation | $15k to $35k | 1 to 2 months |
Delivery, week by week
Exactly what you get
Dashboards that answer the whole question because the data underneath is finally joined. Demurrage, chassis, and detention net against the specific moves and customers that incurred them, so you can see which container moves actually lost money. Tour profitability breaks out by season and weather. Plant performance compares cleanly across shifts. The pipeline unifies your TMS, accounting, terminal, and POS data into one governed model, and the charts on top are the easy part.
How to choose a developer in Savannah
Hire a team that treats data unification as the project and the dashboard as the finish, not the reverse. Ask how they'd join demurrage charges to the moves that caused them across your TMS and accounting system, and how the pipeline stays correct when a source feed changes. Be wary of anyone who leads with chart galleries. Adjacent systems worth scoping: an ERP (Enterprise Resource Planning), an accounting system, and a custom CRM (Customer Relationship Management) that the unified model can also draw from.
- A unified data model joining operational and financial sources
- Demurrage and accessorial cost attributed to specific moves and customers
- Tour and tourism profitability sliced by season, weather, and channel
- Plant and shift performance comparable on one consistent basis
- Dashboards that answer whole questions, not fractions of them
- The data engineering underneath is the real cost, and it's substantial
- Source-system changes can break the pipeline and need maintenance
- You still need someone who can interpret the numbers, not just see them
- If your data is already clean in one warehouse, off-the-shelf BI is enough
- !They focus on charts, not the data join; ask how they unify TMS and accounting
- !No pipeline plan; ask how data refreshes and stays consistent
- !They promise insight from one source; ask how cost gets attributed across systems
- !No data-quality handling; ask what happens when a source feed changes
- !They've only done single-warehouse BI; ask for a multi-source example
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
Why can't Power BI answer which of our moves lost money?
Because the data lives in separate systems, the moves in your TMS, the charges in accounting, the gate events in the terminal feed, and Power BI only sits on whichever one is connected. The hard part is joining demurrage to the move that caused it, which a custom BI build does before any chart is drawn.
What does a custom BI dashboard build cost in Savannah?
Roughly $35k to $100k over 2 to 5 months. A data model with core dashboards runs $35k to $65k; a full BI build with a multi-source pipeline reaches $70k to $100k. Source integrations and refresh automation add $15k to $35k.
Isn't the dashboard the main deliverable?
No, the unified data model is. Tableau and Power BI are visualization layers that are only as good as the data beneath them, and the expensive, valuable work is joining operational and financial sources so the charts show a true number instead of a confident fraction.
Can it attribute demurrage cost to specific customers?
Yes, once the pipeline joins charges to the moves and accounts that incurred them. That attribution lets you see which customers and lanes actually erode margin, which a single-source dashboard can never reveal.
What happens when a source system changes?
The pipeline needs maintenance, which is why ongoing ownership matters. A good build isolates source connections so a change in one feed is a contained fix, not a dashboard-wide break. Ask the vendor how they handle schema changes before you sign.