The BredgeSchedule a call

DATA ENGINEERING ANALYTICS BUSINESS INTELLIGENCE

When your numbers disagree, we find out why.

The Bredge is the experienced data team you hire by the project or by the month. We connect the systems you already have, reconcile the numbers, and build reporting your team stops arguing with.

Book a 30-minute call See how the work looks ↓

Most engagements ship something usable inside the first month.

Five systems. Five customer counts. One board meeting.

Product says 1,842. Billing says 1,731. Nobody in the room can tell you which is right, so the meeting becomes an argument about the number instead of a decision about the business.

ONE RECONCILED MODEL1,772real customers. 70 exceptions, each one traceable.

The 111-record gap wasn’t a rounding error. It was duplicate accounts, IDs that never matched, and invoices booked in a different month.

Where we’ve worked.

TriWest Healthcare AllianceSedgwickMoniepointNutrafol
University of VermontWestinghousePenn FosterFullscript

These are places Bredge team members have worked. They aren’t clients and this isn’t an endorsement.

WHO YOU’LL WORK WITH

You work with the person who builds it.

There’s no account manager between you and the person writing the SQL. When you ask why a number looks wrong, the answer comes from whoever built it. We bring in specialists when a project needs them, and you’ll know who they are and what they’re doing.

Four versions of this show up in almost every call.

01

Your numbers disagree.

Finance, sales and ops report different versions of the same metric. Every meeting starts by deciding which one is right. (“What’s our actual MRR?” “Which customers are we counting?”)

02

Your reporting is a person, not a system.

Someone rebuilds the same spreadsheet every Monday. When they’re on leave, the report doesn’t happen.

03

You have dashboards. You still need a meeting.

The chart tells you revenue dropped. It doesn’t tell you which segment, when it started, or who to call.

04

The data backlog never moves.

Your team is at capacity, or there isn’t a team yet. The important work keeps getting pushed behind the urgent work.

The questions each team actually asks.

01

Finance

Where is our cash? Who owes us? What moved against plan?

Cash flow · Receivables · Profitability · Forecasting · Budget control
02

Product

What drives activation? Who might churn? Where can we expand?

Funnels · Cohorts · Retention · Feature adoption · Customer health
03

Revenue

Where is pipeline leaking? Which accounts are growing? What actually converts?

Funnel performance · Segmentation · Attribution · Forecasting · Customer economics
04

Operations

Where are the bottlenecks? What is off-SLA? What should we fix first?

Process performance · Capacity · SLA monitoring · Exception management

What we actually do.

01

Data foundations

Get your data into one place, on a schedule, without anyone babysitting it.

Pipelines · Warehouses · APIs · SQL · Python · Transformation · Data modelling
02

Analytics

Work out why a number moved, not just that it moved.

KPI frameworks · Funnel analysis · Cohorts · Segmentation · Root-cause analysis
03

BI & reporting

Dashboards people open more than once.

Power BI · Executive reporting · Operational dashboards · Self-service analytics
04

Data quality & governance

Make the important numbers defined, traceable and testable.

Reconciliation · Metric definitions · Quality tests · Data lineage · Documentation
05

Automation & data ops

Something is watching the pipeline at 6am so you don’t find out at 10.

Scheduled reporting · Refresh monitoring · Automated workflows · Runbooks · Ongoing improvements

SYNTHETIC DATA

We can’t show you a client’s dashboard. So we built our own.

Client work is under NDA. These are the same patterns on synthetic data, with the SQL and the tests left visible, so you can judge the thinking instead of the screenshot.

WORK 01

SaaS Growth Dashboard

Activation, retention and churn risk, in the form product and growth teams ask for it every Monday.

Product analytics · Cohorts · Retention · Customer health · BI patternWalk through this build on a call

Growth Overview

Last 90 days ▾
MRR$428.6K+8.4%
Activation42.7%+3.1 pts
Gross retention91.8%+1.4 pts
Expansion MRR$38.2K+11.6%
Revenue momentum +18.2%
CONVERSION FUNNEL
Visited100%
Activated42.7%
Paid28.4%
COHORT RETENTION
CHURN RISK · NEEDS ATTENTION

Horizon LabsHigh

Velocity HQMedium

Monument Co.Medium

WORK 02

CFO Dashboard

Where the cash is, who owes you, and what needs chasing today.

Cash flow · AR / DSO · Profitability · Variance · ForecastingWalk through this build on a call

Cash & Control

Q3 forecast ▾
Closing cash$1.42m+$126k
Cash runway14.8 mo+1.2 mo
Overdue AR$86.2k12 accts
Collections rate94.1%+2.6 pts
Cash forecast Next 13 weeks
PRIORITY ACTIONS

Follow up: 12 overdue invoices Today

Review July margin variance Thu

Approve forecast scenario Fri

RECEIVABLES AGING

Current62%

1-30 days21%

31-60 days11%

60+ days6%

WORK 03

Five Systems, One Customer Count

The identity resolution, reconciliation and tests that happen before any of this reaches a chart.

Python · SQL · PostgreSQL · Reconciliation · GovernanceWalk through this build on a call
Product API1,842 records
Billing1,731 records
CRM1,809 records
Support1,795 records
Finance.xlsx1,764 records
INGESTIONPython
loaders
WAREHOUSEPostgreSQLcustomer_model
QUALITY6 checks
passed

SEMANTIC MODEL

One reliable viewMetrics defined · Exceptions traceable · Ready to decide

The dashboard is the last 10%.

Before a number reaches a chart it gets modelled, reconciled and tested. Here’s one being built, step by step.

  1. 01Profile
  2. 02Resolve
  3. 03Reconcile
  4. 04Define
  5. 05Test
  6. 06Operate
customer_health.sqlreference · synthetic

The dashboard is the last 10%.

IDENTITY
identity AS (
  SELECT canonical_customer_id
  FROM ranked_identity
  WHERE match_rank = 1
)
JOIN
JOIN identity i
  ON i.source_system = 'billing'
 AND i.source_customer_id = inv.account_id
WHERE inv.status = 'paid'
TEST
✓ identity uniqueness
✓ source reconciliation
6 / 6 checks passed
Reference environment · synthetic data

OUR PRINCIPLES

Don’t take the dashboard on trust.

01

Traceable metrics

Every number traces back to a source row and a written definition. If you ask where it came from, you get an answer, not a shrug.

02

Reconciled systems

When two systems disagree, the gap becomes a ticket. It doesn’t get quietly averaged away.

03

Tests before presentation

Beautiful reporting is worthless if the logic underneath is wrong.

04

Documented, and yours

We write down where the data stops being reliable instead of pretending every answer has equal confidence. And we document the build well enough that you could replace us.

Stay because we’re useful, not because only we understand what we built.

Two ways to hire us.

DATA DIAGNOSTIC

Not sure what needs fixing first?

Start with a Data Diagnostic. We map what you’ve got, test the numbers you already rely on, and give you a written list of what’s broken, ranked by what it’s costing you.

You keep the document either way. If you want us to fix any of it, we’ll quote it. If you’d rather hand it to your own team, that works too.Start with a diagnostic

We work with whatever you already have.

We won’t sell you Snowflake if Postgres is fine.

PYTHON SQL POSTGRESQL POWER BI GITHUB