Business Intelligence Dashboards · Lansing

Leadership wants one dashboard, but the data lives in a 1990s system Power BI can't connect to

The short answer

Custom business intelligence dashboards for a Lansing organization run $45,000 to $140,000 over 3 to 6 months. You go custom when your data lives in legacy systems Tableau and Power BI can't cleanly connect to, or you need governance and logic those tools push back to a spreadsheet. The hard part of BI in Lansing isn't the chart, it's getting the data out of systems built before the tools existed.

Leadership asks for a single dashboard showing the real picture, and you discover the numbers live in an aging in-house system that Tableau and Power BI have no clean connector for. So someone exports a flat file weekly, massages it in Excel, and feeds Tableau a snapshot that's stale the moment it loads. The pretty dashboard is built on a manual extract, and everyone quietly knows it.

The deeper issue is that the metrics leadership wants require business logic, allocations, classifications, contract rollups, that Tableau and Power BI can't express without dragging the work back into a spreadsheet or a fragile data model. For a Lansing insurer or contractor, the BI problem isn't visualization, it's reliably extracting and transforming data from legacy sources into numbers people can actually trust.

What breaks first in Lansing

  • Core data lives in legacy systems Tableau and Power BI can't cleanly connect to
  • Dashboards run on weekly manual exports that are stale on arrival
  • Required metrics need business logic the BI tool can't express
  • Everyone quietly distrusts a dashboard built on a hand-massaged extract

The fix: business intelligence dashboards built for Lansing, not rented

A custom BI solution builds a reliable pipeline out of your legacy systems, applies the business logic your metrics actually require, and feeds dashboards people can trust because the data is current and the calculations are documented. The weekly Excel extract disappears, and leadership gets one picture instead of a stale snapshot.

What business intelligence dashboards costs in Lansing

Project scopeTypical costTimeline
Pipeline plus core dashboards from one legacy source$45k to $75k3 to 4 months
Multi-source BI with transformation logic$75k to $110k4 to 5 months
Governed BI platform with near-real-time refresh$105k to $140k5 to 6 months
Cost by project scopeCost by project scopePipeline plus core dashboards from one legacy source$45k to $75kMulti-source BI with transformation logic$75k to $110kGoverned BI platform with near-real-time refresh$105k to $140k
Typical project cost bands. Source: Digital Heroes 2026 delivery benchmarks.

The capability list that earns its budget

What to build in
+Data pipeline extracting reliably from legacy and modern sources
+Transformation layer encoding allocations, rollups, and classifications
+Dashboards tailored to leadership's real questions
+Scheduled or near-real-time refresh, not weekly exports
+Access control and governance for regulated data
+Documented metric definitions so numbers are defensible

Lansing business intelligence dashboards: the full scope

Digital Heroes builds the full business intelligence dashboards stack for Lansing teams. Typical engagements cover Looker, real-time analytics, KPI dashboards, data warehouse, embedded analytics, business intelligence dashboards and BI development.

Exactly what you get

Dashboards fed by a reliable pipeline that pulls from your legacy systems, applies the business logic your metrics require, and refreshes on a schedule instead of a weekly Excel extract, with governance for regulated data. It draws on your custom ERP (Enterprise Resource Planning) and accounting software for financials, your custom CRM (Customer Relationship Management) for the book of business, and your project management system for contract status, unifying them into one trusted picture.

How to choose a developer in Lansing

Hire a team that treats data extraction as the real engineering and visualization as the easy last mile. Ask how they'd reliably pull from a legacy system Power BI can't connect to, and where business logic lives in their pipeline. Ask how they guarantee the numbers are current. A developer who jumps straight to chart design without solving the extraction is building you another stale snapshot.

Red flags when hiring (and what to ask instead)
  • !They assume your data is BI-ready; ask how they'd extract from a legacy system
  • !They plan to keep the manual export; ask how they'd automate the pipeline
  • !Metric logic stays in a spreadsheet; ask how allocations get encoded in the pipeline
  • !No governance plan; ask how regulated insurance or contract data is access-controlled
  • !They only show charts; ask how they guarantee the numbers are current and correct
Ready to price this for your Lansing team?
A 30-minute call gets you a named team, fixed scope and a real quote within 48 hours.
Talk to Digital Heroes

If business intelligence dashboards is on the roadmap, helpdesk & ticketing, erp, custom software usually follow within the year. Budget them as one conversation.

Rohan Malhotra · Enterprise Software Consultant

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.

FAQ

Frequently asked questions

Why can't Tableau or Power BI connect to our legacy systems?

Aging in-house systems often lack the modern connectors Tableau and Power BI expect, so teams resort to weekly manual exports. A custom pipeline extracts the data reliably so dashboards stay current.

How much do custom BI dashboards cost in Lansing?

$45,000 to $140,000. A pipeline plus core dashboards from one legacy source starts near $45k; a governed platform with near-real-time refresh runs to $140k.

Can you pull data from our old in-house system?

Yes. The core of the work is engineering a reliable extraction from legacy sources, then transforming it with the business logic your metrics require.

Why not just use Power BI on a weekly export?

Because the dashboard is stale the moment it loads and depends on someone's manual massaging. A real pipeline keeps the data current and the calculations documented and trustworthy.

How do you handle governance for regulated data?

Access control and documented metric definitions are built in, which matters for insurance and state-contract data where who sees what, and how a number was derived, must be defensible.

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