Fractional Business Intelligence

Your business has the data. We make it usable.

Professional business intelligence without an in-house hire. We connect your systems, automate recurring reports, and provide ongoing analytics support—so leaders spend less time chasing numbers and more time acting on them.

For companies across industries that prefer an external BI partner or are not ready for a full-time BI employee.

Discuss your reporting stack Explore Fractional BI

FlexibleFractional engagement

PrivateNon-cloud options

IntegratedAcross your systems

From fragmented systems...

CRMSalesLeads & pipeline

ERPOperationsJobs & inventory

$FinanceRevenue & margin

XLSSpreadsheetsManual reporting

Ferguson BIUnified Decision Layer

One source of truthAutomated reportingClear KPIs

The problem we solve

When every system tells a different story, leadership loses time.

Most growing companies do not have a data shortage. They have a coordination problem. Important information lives across systems, spreadsheets, inboxes, and individual teams—with no consistent reporting layer connecting it all.

Data fragmentation

Sales, finance, operations, service, and marketing data live in separate tools, with connections and definitions that need to be aligned.

Manual reporting

Teams spend hours exporting, cleaning, reconciling, and rebuilding the same reports every week or month.

Conflicting metrics

Different departments calculate the same KPI differently, leaving meetings focused on whose number is right.

No dedicated BI function

You need better analytics, but a full internal data team may be too expensive or premature for your current stage.

A BI department without the full-time overhead

Fractional BI means you gain the function, not just a one-time dashboard.

We operate as an extension of your team—building the reporting foundation, maintaining it, answering new questions, and improving the system as your business changes.

Tell us where reporting breaks down →

Strategy & KPI design

Define what leadership should measure and how each metric is calculated.

Data engineering

Connect systems, clean data, and create repeatable pipelines and models.

Dashboards & reporting

Build executive, operational, and department-level views that answer real business questions.

Ongoing analytics support

Maintain reporting, investigate anomalies, and adapt insights as priorities change.

What Ferguson BI handles

From raw systems to business decisions.

Connect pipeline to booked revenue. Compare job costs with actual margin. Track backlog alongside delivery capacity. These are examples of the questions a connected reporting system can help answer.

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Data integration

Bring together ERP, CRM, accounting, service, marketing, spreadsheets, databases, APIs, and other operational systems.

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Executive dashboards

Create a clear view of company health with role-specific KPIs, trend analysis, and drill-down reporting.

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Reporting automation

Replace recurring exports and spreadsheet assembly with controlled, repeatable, refreshable reporting workflows.

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Data modeling

Create consistent definitions, reusable measures, and governed models so the business works from the same numbers.

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Decision support

Go beyond charts with root-cause analysis, forecasting, performance reviews, and action-oriented insights.

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Fractional BI leadership

Get an ongoing analytics partner who can prioritize the roadmap, coordinate stakeholders, and evolve your BI environment.

Reporting people can act on

Help people see what is working.

Ferguson BI helps make individual and team performance understandable through shared measures and reporting built around the work.

Track progress against agreed goals, with context for workload and quality. Use that view to identify effective practices, learn from strong results, and focus improvement efforts.

Private infrastructure

On-prem deployment

Cloud optional

Infrastructure on your terms

Business intelligence on infrastructure that fits your requirements.

Ferguson BI supports private, non-public-cloud deployments for organizations that want tighter control over where sensitive data resides. We can also work inside your own on-prem environment or build with cloud providers when that is the right fit.

Private Ferguson BI infrastructureDedicated, controlled hosting outside hyperscale public-cloud platforms.

Client on-prem environmentDeploy reporting components inside infrastructure you control.

Cloud by choiceWork with Azure, AWS, GCP, or your existing cloud stack at your discretion.

Architecture is scoped around the client’s security, access, compliance, backup, and availability requirements.

We work with the stack you already have.

Power BITableauSQLExcelAPIsERPCRMCloudOn-Prem

How engagements work

Start with the business problem, then build the right reporting system.

Map the reporting pain

Identify decisions, bottlenecks, recurring reports, and where current data becomes unreliable.

Connect the sources

Inventory systems and establish the integrations, models, permissions, and data flow needed.

Build the decision layer

Deliver dashboards and reports around agreed KPIs, with the right level of detail for each audience.

Operate & improve

Maintain the environment, add new use cases, and continuously improve how data supports the business.

Before we talk

Common questions about fractional BI.

How is fractional BI different from a dashboard project?

A dashboard project delivers a defined reporting output. Fractional BI provides ongoing capacity to connect data, maintain reporting, investigate questions, and prioritize improvements. The scope should reflect the work your team actually needs.

Do we need to replace our systems or build a data lake?

Not necessarily. The starting point is your current tools and reporting needs. A data lake, warehouse, or a simpler connection to an existing database may be appropriate. Reliable reporting also depends on data quality, consistent definitions, and well-designed models.

What determines the scope of an engagement?

The number of sources, data quality, reporting priorities, hosting requirements, and level of ongoing support all affect the work. Start with the reports and decisions that matter most so the initial scope can be focused.

What should we bring to an initial conversation?

A list of your main systems, an example of a report that takes too much effort, and the business question you want it to answer. A description is enough to start; you do not need to share system credentials or raw business data.

Start with the messiest part

Start with one reporting problem.

Tell us which systems you use, what takes too much manual work, and the decision you need to make. That gives us a starting point to discuss fit, priorities, and a possible scope.

Prefer to write directly? caleb@fergusonbi.com