Analytics · Reporting · Decision Support

Source data. Clear decisions.

TrueNorth Insights helps businesses turn operational, customer, and financial data into reporting systems that support better decisions.

What TrueNorth Insights does

From raw data to usable business insight.

Most organizations have more data than clarity. TrueNorth Insights focuses on connecting source systems, cleaning and structuring data, defining useful metrics, and building reporting that helps leaders understand what is happening, why it matters, and where to focus next. The work is practical: fewer disconnected spreadsheets, clearer KPI definitions, stronger reporting workflows, and analysis that ties operating activity to business outcomes.

Services

Analytics work built around decisions.

Services are focused on reporting systems, source data structure, and analysis that helps teams make better operating decisions.

Analytics & Reporting

Builds dashboards, recurring reports, and KPI views that help teams monitor performance without manually rebuilding the same work each month.

Power BI reporting, executive KPI packs, monthly business reviews, operational scorecards.

Data Structuring & Automation

Turns messy source data into cleaner, repeatable datasets that can support reporting and analysis.

Data models, source system extracts, refresh workflows, quality checks, Python or SQL automation.

Business Decision Support

Uses analysis to answer specific business questions and connect data to action.

Customer behavior analysis, sales and lead performance, location or brand comparisons, pricing and revenue analysis.

Decision areas

Built for business questions, not just charts.

The work starts with the decision that needs to be made, then works back to the data, metrics, and reporting required to support it.

Which channels, locations, brands, or products are performing best?
Where are leads, customers, or revenue being lost?
Which KPIs should leadership review every month?
What changed, and is it meaningful?
Which operational issues are affecting financial results?
Which trends deserve attention before they become problems?

Process

A simple working model.

1

Understand the decision

Clarify the business question, audience, available data, and what action the work should support.

2

Connect the data

Review source data, clean fields, define relationships, and create repeatable datasets where possible.

3

Define the metrics

Align on KPI definitions so reporting reflects the business instead of creating conflicting numbers.

4

Build the output

Create dashboards, reports, models, or written analysis that are clear enough to use in meetings.

5

Improve the workflow

Reduce manual effort, document assumptions, and make the process easier to maintain.

Selected work examples

Practical analytics applied to real operating problems.

These examples reflect project types supported through analytics leadership, reporting system design, and decision support work.

Workplace analytics data platform

Developed a reporting foundation that integrated HR, badge, and facilities data to support workplace analytics, attendance visibility, and space utilization reporting.

Multi brand performance reporting

Built standardized KPI reporting across multiple brands, helping leadership compare performance, identify operating issues, and connect customer activity to business outcomes.

Monthly business review reporting

Created recurring executive reporting packages that translated operational and customer data into decision ready summaries for leadership review.

Data workflow automation

Replaced manual spreadsheet based reporting steps with repeatable data workflows using SQL, Python, and structured reporting models.

Customer and revenue analysis

Analyzed customer, lead, sales, and revenue data to support questions around performance, conversion, customer behavior, and growth opportunities.

KPI framework design

Defined practical metrics and reporting views so leadership teams could review performance with clearer context and fewer disconnected data sources.

About

Practical analytics for operating decisions.

TrueNorth Insights was founded by Chris Baker, an analytics leader with experience building reporting systems, KPI frameworks, and decision support tools across franchising, retail, workplace strategy, and operations.

The work is grounded in source data, practical business context, and clear communication. The goal is not to produce more charts. The goal is to help teams understand performance, make better decisions, and reduce the manual work required to get reliable answers.

Need clearer visibility into business performance?

For analytics, reporting, KPI design, or decision support work, contact TrueNorth Insights.

[email protected]