inparlor.
Development

Business Intelligence & Reporting.

Every number you run the business on, in one place you trust.

By the numbers

  • 30+dashboards in production
  • 3-8 wkto first dashboard
  • 1source of truth
What this includes

Deliverables, line by line.

  • Discovery and a fixed-bid proposal mapping data sources to KPIs
  • Light data warehouse on Postgres or BigQuery
  • Data pipelines from your CRM, billing, ERP, and product
  • dbt models that transform raw data into reporting tables
  • Agreed KPI definitions documented so a metric means one thing
  • Dashboards in Metabase, Superset, or a custom Recharts build
  • Automated daily or hourly refresh via scheduled jobs
  • Embedded analytics inside your own product when relevant
  • Self-serve access so teams answer their own questions
  • Source, models, and dashboards in your accounts with a handoff walkthrough
Process

How an engagement runs.

  1. Discovery and KPI definition

    We find out which numbers actually drive decisions and pin down what each one means, because half the BI problem is two teams defining revenue or churn differently. You leave with a metric dictionary and a fixed-bid proposal.

  2. Pipelines and warehouse

    We stand up the warehouse on Postgres or BigQuery and build pipelines that pull from your systems on a schedule. Clean, current data landing automatically is the milestone, before a single chart exists.

  3. Modeling

    We use dbt to transform raw data into reporting tables that match the agreed KPI definitions, with tests so a broken upstream change gets caught instead of quietly corrupting a dashboard.

  4. Dashboards

    We build the dashboards in Metabase, Superset, or a custom Recharts UI, tuned to load fast and to let people drill into the number behind the number. Each sprint ends with a working dashboard you can use.

  5. Rollout and self-serve

    We roll out access, train teams to answer their own questions, and where it fits embed analytics in your product. A stability window follows where we fix data issues and tune refresh schedules.

Stack

Tools we run with, by default.

  • Postgres
  • BigQuery
  • Metabase
  • Apache Superset
  • dbt
  • Recharts
  • Temporal

We will work in your existing stack when it fits. We swap tools only when the cost of staying is higher than the cost of moving.

Pricing

Transparent, itemized, no day rates.

Custom quote

fixed price, scoped to you

Every engagement is scoped against your spec. Every proposal is itemized: design, build, content, and integrations — so you can sanity-check the math before signing.

Timeline

3 to 8 weeks

For mixed engagements (build + maintain), we bundle the proposal with a single price you can take to the board.

Featured work
Professional Services / Accounting

−22 hrs/wk

ops overhead eliminated

40-person accounting firm, Chicago

Midwest accounting firm running month-end close across four disconnected spreadsheets and two legacy tools. We built an internal ops dashboard integrating all four systems; close time dropped from 9 days to 4, saving 22 staff-hours per week.

Read the case study
Pair this with

Most clients run two or three of these together.

Stack thinking: paired engagements share one measurement layer, one accountability ledger, and one quarterly business review. That's where the compounding comes from.

FAQ

What buyers ask before signing.

Ready to start?

Ready to start with Business Intelligence & Reporting?

Get a proposal for BI & Reporting.

Name, email, and one line on what you need. Written scope, timeline, and price in 24–48 hours — no discovery call required to schedule a discovery call.

Response within 24 hours from a real strategist.