Build & Modernize
Data Pipelines & Reporting
Monday's numbers are ready Monday, and everyone is looking at the same ones.
What this engagement is
Reporting projects usually stall on definitions, not technology: two departments count a shipment differently and both dashboards are right. Until the definitions are settled in writing, every tool you buy will faithfully reproduce the disagreement. So that's where we start — every metric defined, agreed, and signed off before any pipeline is built.
The definitions are then encoded in a transformation layer that everything reads from, so there is one version of each number by construction, not by convention. Ingestion pulls from your operational systems on a schedule that matches how the business runs, and data quality checks run on every load: a broken upstream feed becomes an alert with a name on it, not a number someone quietly doubts.
Dashboards are built per role and reviewed with the people who will open them daily — the metrics a plant manager needs at 7 a.m. are not the ones the CFO reads monthly. You end with a runbook covering failure recovery and how to add new sources, so the system grows without us.
Who this is for
- Leadership teams reconciling conflicting numbers from different departments
- Companies whose reporting depends on a manual weekly export
- Operations groups who need daily metrics and get monthly ones
What you get
- Automated ingestion from your source systems
- Transformation layer with agreed, documented metric definitions
- Data quality checks with alerting on failure
- Dashboards for the roles that need them
- Runbook covering failure recovery and adding new sources
Scope
Exactly what the quoted price covers
The scope document for this engagement lists both columns below in writing. Nothing moves between them without a conversation.
Included in the engagement
- Metric definition workshops and a signed-off definitions document
- Ingestion pipelines from the agreed source systems
- Transformation layer encoding the agreed definitions, versioned and tested
- Data quality checks with alerts routed to a named owner
- Role-specific dashboards built with the people who'll use them
Not included
- Fixing data quality problems inside the source systems themselves
- Reporting tool license costs (Power BI, Metabase, etc.)
- Metrics or sources added after the definitions are signed off — a follow-on phase
Working together
What we need from you
Fixed dates only hold when both sides show up. These are the commitments we ask for in exchange for ours.
- 01
The stakeholders who disagree about the numbers, in the same room, during definitions
- 02
Read access to source systems and their databases
- 03
One person who can become the owner of the runbook after handover
Process
How it runs
- 01
Definitions
Every metric defined and signed off in writing. This is the step that decides whether the project works.
- 02
Pipeline build
Ingestion and transformation built with quality checks and alerting from day one.
- 03
Reporting
Dashboards built per role and reviewed with the people who will open them daily.
- 04
Handover
Runbook, source-addition guide, and a working session with whoever maintains it next.
Scope a data pipelines & reporting engagement.
Send us the situation in a few sentences. You'll get a scope, a price, and a date back — or an honest no.