Data & BI implementation partner for reporting that has to run every month
Data consulting often starts with dashboards, but the operating pain usually lives upstream: definitions, source systems, ownership, refresh cadence, manual commentary, and exception checks.
We reply within 1 business day.
When data and BI work needs implementation support
A dashboard is only useful when the data model, refresh path, definitions, owners, and review rhythm are clear enough to trust.
Reports are rebuilt by hand
Teams export data, clean spreadsheets, reconcile numbers, add commentary, and repeat the same checks every week or month.
Different teams trust different numbers
Revenue, margin, conversion, utilization, claims, inventory, or project metrics mean different things in different tools.
BI work is disconnected from workflow change
Dashboards exist, but they do not trigger decisions, ownership, follow-up, or operational improvement.
What we implement around data and BI
We treat reporting as an operating workflow, not a visual layer. The goal is a reliable review rhythm with clear inputs, outputs, and actions.
Definitions and source mapping
Align metric definitions, source systems, refresh cadence, data owners, and data-quality checks.
Dashboards and review views
Build dashboards, exception views, commentary support, and operating cadences that teams can use repeatedly.
Workflow links
Connect reporting to follow-up actions, owner queues, alerts, and the first workflow that should improve because of the numbers.
BI consultant, data engineer, or implementation partner?
Most reporting problems cross roles. The right help depends on whether the problem is analysis, data plumbing, or operational adoption.
More on how we work
Portfolio KPI reporting workflow
See how monthly KPI reporting can become a repeatable review workflow.
Product and customer analytics workflow
Connect product and customer metrics to the decisions teams need to make.
Ecommerce conversion reporting workflow
Use conversion reporting as an example of metric definitions tied to action.
AI readiness is workflow and data readiness
Understand why better AI often starts with cleaner workflow and data foundations.
Workflow readiness calculator
Check whether the reporting workflow has enough value and readiness to improve.
Pricing
Review the entry retainer, starting from $4,000/month, for reporting and data implementation work.
Common questions
Do you replace our BI tool?
Not by default. We work with the current stack first and only suggest a tool change when the data model, workflow, and business case make it worthwhile.
How much does data and BI implementation cost?
The retainer starts with the entry engagement, starting from $4,000/month, month-to-month, cancel anytime. The first scope is usually one reporting rhythm or dashboard workflow.
Can you build dashboards and data pipelines?
Yes, but we scope them around a real operating workflow: who needs the numbers, what decisions they make, what source data is trusted, and what happens next.
What happens in the first month?
The first month usually aligns definitions, checks source systems, maps the current reporting steps, and ships a first useful view or data cleanup that supports a real review cadence.
What makes this different from a BI project?
The month-to-month model connects BI work to workflow change. We improve one valuable reporting rhythm, ship useful views, and keep improving the process around them.
When should we wait before building a dashboard?
Wait if teams cannot agree on definitions, the source fields are unreliable, or nobody owns the meeting or decision the dashboard should support.
Send us the report or dashboard that keeps taking too much work.
Share the cadence, source systems, manual steps, and decisions the report is supposed to support. We will help you decide what to clean, connect, build, and automate first.
We reply within 1 business day.