Simplify  |  Empower  |  Unlock

We define ourselves by what we change, not what we build.

You grew quickly. Along the way, you built processes to keep up. Some were meant to be temporary. Others simply became the way things were done.

Now there's a month-end workbook nobody dares touch. An Access database built by someone who left years ago. Systems that each hold part of the truth. And people quietly moving data between them just to keep everything running.

Eventually, keeping it working becomes the work.

Greenfield Analytics untangles what accumulated along the way - so your people can spend less time maintaining workarounds and more time moving the business forward.

Bring us the problem → See How We Help

Who We Are

We create understanding.

Your technology should make your business easier to understand, not harder to run. Greenfield Analytics starts by listening - to your people, your pain points, and the questions your business needs answered. Then we simplify what's complicated, empower the people closest to the work, and unlock what your business can do next.

The answer isn't always more technology. It's understanding what's getting in the way, what needs to change, and giving your people what they need to move forward with confidence.

Why People Like Working With Us

  • We listen before we prescribe.

    • We understand the problem before recommending a solution

  • We make complexity understandable.

    • No tech-speak. You should know what we are doing, why we are doing it, and why it matters.

  • We build for independence.

    • Our goal is to make your people more capable — not more dependent on us.

  • We right-size the solution.

    • More people, more software, and more complexity don't automatically create better outcomes.

What Makes Us Different

The right expertise, when it matters.

We don't start an engagement by deciding how many people to put on it. We start by understanding the problem.

Then we bring in the expertise the work actually requires — whether that's strategy, data engineering, analytics, architecture, or implementation. You get the strength of an experienced team without paying for people that don't need to be in the room.

Right-sized from the start. Built around the problem, not the headcount.

How We Work

Four steps, no mystery

We Listen

Before we recommend anything, we need to understand.


You tell us what isn't working, and what you're trying to accomplish. We ask questions, challenge assumptions, and determine whether GFA is the right partner.


No charge. No pitch disguised as discovery.

We Diagnose

We look beyond the symptoms to understand what's actually getting in the way.


We uncover bottlenecks, dependencies, unnecessary complexity, and opportunities for change - then prioritize what matters most.


You leave with a clear path forward, whether we build it or not.

We Change

Once we understand the problem, we bring in the right people to fix it.


We simplify what's complicated, remove friction, and use the right technology. The outcome is the same: things will work better when we leave than when we arrived.


We measure the change, not the amount of work.

We Empower

The goal isn't to make you dependent on GFA. It's to make your organization stronger.


We don’t build dependency; we build capability. We build lasting internal capability so you call us to grow, not to troubleshoot.


We build for what comes next.

Services

How we help

From a single broken process to an entire data strategy, we meet you where the problem is - and bring in the expertise to move it forward

Strategy, Advisory & Leadership

Make big technology decisions with someone who isn't trying to sell you the technology.

WHAT WE DO

We help leadership understand the options, tradeoffs, costs, and risks behind major decisions — from platforms and vendors to AI strategy and organizational design.

WHAT CHANGES

You have clear direction, a plan tied to the business, and confidence to move forward.

See what's included +

•Technology strategy and roadmapping
•Vendor selection and contract guidance
•AI strategy and readiness
•Hiring strategy and technical candidate evaluation
•Continuity planning and disaster recovery review

Fractional Data Team

Get an experienced data team without building one from scratch.

WHAT WE DO

We become an extension of your organization - learning your data, understanding your business, and taking ownership of the analytics work that keeps your people moving.

As priorities change, we bring in the expertise the work actually requires.

WHAT CHANGES

Your questions stop sitting in queues. Your reporting has clear ownership. And your people have a team that already understands the business when the next need arises.

See what's included +

•Data engineering and pipeline development
•Power BI development and administration
•Semantic model design and maintenance
•Reporting and analytics development
•Performance, reliability, and environment monitoring
•Data architecture and platform management
•Ad hoc analysis

We bring in the expertise your priorities require, when you require it.

One Source of Truth

When every system has a different answer, people stop trusting the data.

WHAT WE DO

We bring the data, definitions, and business logic together so your teams are working from the same version of the truth. We automate what should be automated and create a foundation that can evolve as your business does.

WHAT CHANGES

Meetings stop being about whose number is right and start being about what to do next.

See what's included +

•Replacing manual extracts and data movements

•Bringing disconnected data sources together

•Automating ingestion and transformation

•Modernizing reporting and semantic models

•Designing a right-sized data foundation

•Centralizing business logic and data governance

•Documenting how data moves from source to decision

Business Systems Health Check

You know something is fragile. You just don't know what to fix first.

WHAT WE DO

We trace the spreadsheets, databases, manual handoffs, and workarounds your business depends upon — who owns them, how they connect, and what happens when they fail.

Then we separate what's merely imperfect from what's actually putting the business at risk.

WHAT CHANGES

You know what's broken, what matters, and what to fix first. You have a clear path forward you own whether or not GFA does the work.

The goal isn't to put everything in one place. It's to make sure everyone is working from the same understanding.

See what's included +

Cataloging business-critical spreadsheets, databases, reports, and manual processes

•Mapping owners, dependencies, inputs, and outputs

•Identifying key-person dependencies and silent-running teams

•Finding conflicting definitions and duplicated work

•Evaluating business impact and operations risk

•Estimating the effort to address each issue

•Prioritizing what to fix now, later, or not at all

Production Rescue

Things happen. You're down a resource or two and now you need help — quickly.

WHAT WE DO

• Bring in the right expert(s) from our bench to help
• Fix broken refreshes, failed connections, and reports pointing at data sources that moved
• Review long-running queries and optimize them
• Get the environment stable, get through backlog of tickets in the queue

WHAT CHANGES

• A stable environment
• A short list of what was actually wrong and recommendations for preventing recurrence
• Confidence that your environment is in good shape and you can reach out again when needed

See what's included +

•Fix broken pipelines and integrations

•Remediate broken or unreliable reporting

•Improve performance for long-running queries

•Fix Power BI and semantic model problems

•Stabilize inherited environments

•Reduce or eliminate technical debt blocking day-to-day work

•Tackle critical backlogs after staffing or resource changes

We've got you covered

Don't see your problem?

Good. Bring us the messy one.

Not every problem fits neatly into a service offering. We don't expect yours to either.
If technology, data, people, or processes are getting in the way of where your business needs to go, bring us the problem. We'll help you understand what's actually happening, what needs to change, and whether GFA is the right team to help change it. Sometimes that means software. Sometimes that means data. Sometimes it means bringing the right expertise for a problem you haven't solved before.

We don't need your problem to fit our services. We need to understand it.

Understanding in Action

Work we are proud of

Healthcare • Revenue Cycle

The people closest to the data should be empowered to act on it.

A BI team with deep expertise in claims and remittance data was spending too much time waiting on IT to make changes they already understood.

We moved capability closer to understanding. The result: greater ownership, faster experimentation, and more time to create analytics products the business could monetize.

See what changed +

A healthcare technology company had deep expertise in claims and remittance data - and ideas for turning that expertise into new analytics products. But the team closest to the data didn't fully control the systems behind it.

The Uncertainty

Business logic relied heavily on PostgreSQL stored procedures and engineering support. A change could mean submitting an IT ticket, explaining the requirements to an engineer who didn't work the data every day, waiting for development, and then validating the results.

The problem wasn't capability. The problem was that the people with the most understanding had the least ability to act on it.

What We Changed

GFA redesigned the data environment around the people using it. Claims and remittance data moved into a Microsoft Fabric medallion architecture, with source data ingested from blob storage and transformation logic made more accessible throughout the analytics environment. The BI team gained greater ownership of the logic behind its products and the ability to test changes directly in a development environment.

But the architecture wasn't the outcome. Ownership was.

From Understanding to Action

The feedback loop changed. Instead of:

Idea → Ticket → Handoff → Wait → Validate → Revise

The team could:

Idea → Build → Test → Learn → Iterate

The people who understood the data could act on that understanding immediately. That meant less time translating requirements and waiting for resources — and more time creating.

What That Made Possible

The BI team gained capacity to focus on something far more valuable than IT tickets: building new analytics products the business can monetize.

IT carries fewer unnecessary dependencies. The BI team has greater autonomy. Changes can be tested faster. And the organization can move from an idea to learning without the same operational friction.

GFA didn't simply move data from PostgreSQL to Microsoft Fabric. We moved capability closer to understanding. Because when the people who understand the problem are empowered to act, progress gets faster.

ENABLED BY

Microsoft Fabric · Medallion Architecture · Azure Blob Storage · PostgreSQL

Philanthropy • Embedded Analytics

They asked for a report. What they needed was a way to turn their understanding into a product.

More than five years ago, a growing philanthropy technology company came to GFA with a simple idea: our clients need better reports. What started as a single reporting request became an analytics capability embedded into the product itself — and one that has continued to evolve alongside the business.

See what changed +

Start With Understanding

The company already had the most valuable ingredient: people who deeply understood philanthropy. They understood donor-advised funds. They understood their clients. They understood the business logic behind the data.

Our job was to make that understanding usable.

We began with a standardized package of 13 reports the company could offer its clients. The reports didn't simply present data. They embedded the business logic behind it, giving clients a clearer way to understand their own information. And people wanted more.

Let the Capability Grow With the Business

Standard reporting evolved into custom reporting. Custom reporting evolved into secure analytics embedded directly into the company's platform. Analytics was no longer something sitting beside the product.

Understanding became part of the product.

Clients could interact with meaningful information without needing to understand the complicated logic behind it. As the business grew, the analytics capability grew with it.

Then Give People the Ability to Explore

Eventually, predetermined reports weren't enough. People had new questions. So we opened the next layer. Users gained self-service access to curated Power BI semantic models, allowing them to explore trusted information without having to recreate the business logic behind it. The guardrails remained. The definitions remained. The understanding was shared.

But the questions no longer had to be predetermined. People could explore for themselves.

Keep Understanding Close to the People Who Have It

As the organization continued to scale, its data architecture needed to evolve too. GFA helped move the analytics environment away from PostgreSQL views and BigQuery data dumps and into Microsoft Fabric. The reporting layer became part of the Fabric environment. Logic could be changed closer to where analytics work happened, while GFA maintained the notebooks supporting it. That meant less dependence on developers removed from the day-to-day meaning of the data—and closer collaboration with analysts who deeply understood the industry.

Because knowing how to write code isn't the same as knowing what the data means. And meaning matters.

What Changed

What started as a request for better reporting became a capability that grew alongside the company. Give Interactive publicly reported $8 billion live or in implementation in 2024. By 2025, that number had grown to more than $40 billion.

Today, the platform powers philanthropic organizations across more than $40 billion in charitable assets. Its own product experience now emphasizes real-time data, customizable dashboards, reporting, and strategic insights—the evolution of the same fundamental need that started our relationship years ago:

Help people understand what their data is telling them.

One report became a product. The product became an embedded capability. The capability became self-service. And the architecture evolved to support what came next.

We didn't build reporting around the technology they had. We built an analytics capability around the business they were becoming.

ENABLED BY

Microsoft Fabric · Power BI · Embedded Analytics · Semantic Models · Notebooks · PostgreSQL · BigQuery

Sustainability • Enterprise Analytics

You can't value what you can't understand.

A sustainability organization had sophisticated expertise, proprietary methodology, and valuable data. The challenge was turning that complexity into something others could clearly understand.

Over two years, GFA helped transform that intelligence into enterprise reporting that made sustainability performance visible, consistent, and actionable.

The work helped demonstrate the value of the platform as the company gained broader market recognition—ultimately leading to a strategic partnership and acquisition.

We made the value easier to see.

See what changed +

A sustainability organization had something incredibly valuable: deep expertise, proprietary categorization methodology, and data that could help large organizations understand their environmental performance.

But expertise alone doesn't create understanding.

It had to be translated into reporting that people across an organization could trust, interpret, and use.

The Uncertainty

Sustainability data is inherently complex. Different categories, reporting standards, business units, time periods, and definitions all have to come together before a metric means anything. Without consistency, a number on a report is just a number.

GFA worked alongside the teams defining sustainability methodology and industry standards to ensure that what appeared in reporting accurately reflected the meaning behind the data. The goal wasn't simply to visualize sustainability performance. It was to make it understandable.

What We Changed

Over two years, GFA led the Power BI reporting function supporting the organization's enterprise sustainability analytics. We helped establish standardized annual, quarterly, and periodic reporting; built and maintained the analytics used to communicate sustainability performance; strengthened validation processes; and worked closely with the teams responsible for categorization and standards.

That connection mattered. It meant the reporting wasn't separated from the expertise behind it. The methodology, data, and analytics could tell the same story.

From Data to Understanding

Reporting gave organizations a way to see sustainability performance in a form they could actually use. Complex categorization became understandable metrics. Metrics became trends. Trends revealed opportunities, risks, and progress. And sustainability moved from something buried in data to something leaders could see, discuss, and act on.

The analytics didn't create the value. They made the value visible.

What That Made Possible

As the platform and its reporting matured, the organization gained broader recognition for the sustainability intelligence it had built. Our work helped make the platform’s value visible as the company gained broader market recognition, later entering a strategic partnership that culminated in an acquisition.

The acquisition isn't the story.

Understanding is.

The organization already possessed valuable expertise. GFA helped translate that expertise into analytics other people could see, understand, and use. Because you can't recognize the value of something you don't understand.

We made the value easier to see.

ENABLED BY

Power BI · Enterprise Analytics · Data Validation · Sustainability Categorization & Reporting

Where We've Worked

Different businesses. The same need to understand.

Every industry speaks its own language. We don't pretend otherwise.
We bring the technical expertise, then work alongside the people who know their businesses best. Together, we turn that knowledge into systems, data, and analytics the rest of the organization can use.

  • Healthcare and Revenue Cycle
  • Philanthropy and Charitable Giving
  • Sustainability and ESG
  • Higher Education Analysis
  • Payment Processing
  • Mortgage Servicing
  • Financial Services

FAQ

Questions we get a lot

What happens when I contact Greenfield Analytics?

You don't need a scope of work or even a perfectly defined problem. Tell us what isn't working, what you are trying to accomplish, or where your team is getting stuck.

We'll listen, ask questions, and tell you whether we can help. If we can't, we'll tell you that, too.

Do I need to know what technology or solution I need?

No, you just need to come to us with a problem or goal.

Our job is to understand what's happening before recommending what should change. Sometimes the answer is new technology. Sometimes it's making better use of what you already have.

What does an engagement with GFA look like?

It depends on the problem. Some engagements begin with a focused Health Check. Others start with something that needs to be fixed now or a clearly defined initiative.
Either way, we agree on what success looks like before the work begins, bring in the expertise the work requires, and make sure your team owns what comes next.

Are you going to replace our existing team?

No. Some of our best work happens alongside the people already closest to the business.
We bring expertise where it's needed, remove bottlenecks, and help your people become more capable.

The goal is to strengthen your team, not create dependence on ours.

What if our problem doesn't fit one of your services?

Good. Bring us the messy stuff.

Our services represent problems we solve often, not the limits of what we can do. If data, technology, people, or processes are getting in the way of the business, we'll start by understanding why.

With our industry veterans, we've seen it all.

Get Started

Let's talk about what's getting in the way.

No pitch, no pressure — just a practical conversation about where your tech is getting in the way.

Ready to get started? → Email Us