Platform · Why Marquis?

The data problem
isn't a data problem.
It's a tools problem.

For a decade, the industry promised that self-service analytics would put every business user in control of their data. The tools were built for technicians. Business users got the complexity without the results. Here's what a different approach looks like.

20+
Years of data & software expertise
Cloud data platforms, ERP integrations, data engineering, BI, AI, built and deployed at scale across dozens of manufacturing environments.
20+
Years of industrial manufacturing knowledge
Collections, yield, inventory turns, pricing, procurement, SIOP, PE portfolio operations, we know the business as well as we know the data.
The Marquis Difference

Two decades of expertise, on both sides of the equation.

Most data firms know data. Most manufacturing consultants know manufacturing. Very few know both deeply. That combination is what makes Marquis IQ different, and why it gets deployed in weeks instead of years.

Data & Technology
20+ Years Building Data Platforms
  • Cloud data architecture & engineering
  • ERP integration & certified connectors
  • Data quality & master data management
  • Business intelligence & Tableau
  • AI, MCP servers, and LLM integration
  • DataOps, pipelines, and drift detection
+
Industrial Manufacturing
20+ Years Inside Manufacturing Businesses
  • PE-backed portfolio operations
  • Collections, AR aging, and cash analytics
  • Pricing, price-volume-mix, margin management
  • Inventory turns, yield, and working capital
  • Procurement, supplier analytics, AP
  • SIOP, sales pipeline, and TAM analysis
We packaged both into Marquis IQ.
You don't need to hire a data engineer, contract a technology firm, or wait 18 months for a bespoke solution. You sign up for Marquis IQ and get insight flowing in days, because the platform already understands your business.
Total Cost of Ownership

One platform cost. Every function covered.

A fully burdened data analyst costs $150,000–$200,000+ per year: one person, one skill set. When your need spans finance, operations, sales, procurement, and pricing, headcount alone doesn't scale the way the work does. Marquis IQ gives your existing team access to the full capability stack, at a fraction of what building it through hiring would cost.

Scaling with headcount alone
$150K–$200K+
Per hire, fully burdened, any market
Deep in one or two disciplines. Seven are needed to run the full stack.
ERP integration becomes a separate project. Timeline and cost depend on your systems.
Manufacturing context builds over time. Every environment has its own learning curve.
Months to hire, onboard, and ramp to first productive output
Coverage narrows as requests grow. One person can only scale so far.
vs
Your team + Marquis IQ
A fraction of one FTE
Full platform + team, annually
All seven skill sets available to your team, when you need them
25+ certified ERP connectors, ready on day one
20 years of manufacturing operational expertise built in
First insight in weeks, not quarters
Scales with your business as you grow and acquire
Three Options. One Clear Answer.

Build it, outsource it, or partner with Marquis.

Every manufacturing business eventually faces this choice. Here's an honest comparison of what each path actually looks like in practice.

Insourced vs. Outsourced vs. Partner with Marquis Data comparison
Speed to Value

Insight in days. Not quarters.

A traditional bespoke data platform takes 6–18 months to build. A technology firm contract takes longer. A new hire takes months to find and months more to onboard. Marquis IQ is pre-built, pre-tested, and proven across dozens of manufacturing environments. The only thing to configure is yours.

1–3
Weeks to first insight
ERP connected, data flowing, first dashboards live. Typically within the first two weeks of go-live.
Day 1
Solutions ready before you start
You don't start with a blank canvas. Certified connectors and pre-built manufacturing analytics are already in place before your first call.
25+
Certified ERP connectors
No custom integration project. Dynamics, Epicor, SAP, Infor, NetSuite, Sage, Acumatica, and more — certified and maintained.
0
External partners required
No systems integrator. No BI consultant. No implementation firm. Marquis Data deploys, maintains, and supports the platform directly.
No systems integrator, BI consultant, or external data firm can deploy operational manufacturing analytics in weeks. They can't — because they don't show up with the connectors, the domain expertise, and the pre-built analytics already in place. Marquis does.
The Self-Service Experiment

Everyone can be a data analyst. Except they can't.

The premise was appealing: give business users great tools, and they'll answer their own questions. After a decade of Power BI and Tableau investment, the results are in. Most business users can read a chart. They can act on a well-framed insight. But building the underlying logic, defining the right metrics, connecting the right sources, maintaining the data model over time, that requires a different skillset entirely.

The tools didn't fail. The assumption did. Data literacy and data analytics are not the same thing, and conflating them led most companies to underinvest in the infrastructure that actually makes analytics work.

What self-service actually requires
A clean, maintained data model
Reliable pipelines that don't drift
Agreed-upon metric definitions
Someone who understands the business logic
And someone who can use the BI tool
These are five different jobs. Self-service tools assume you've solved the first four before you hand someone the fifth.
The Staffing Trap

Hiring for data is harder than it looks.

So maybe the answer is to hire. Bring in someone analytical, a "data analyst," a "BI developer," a "report writer." For a while, that person is a hero. Then the requests pile up, priorities conflict, and your one hire is expected to do the work of six.

Data Engineering
Pipelines, ETL, connectors, drift detection, staleness alerts, archiving
Data Architecture
Schema design, indexing, data modeling, warehouse optimization
Data Governance
Quality monitoring, lineage, access controls, compliance
Data Visualization
Tableau, Power BI, dashboard design, report publishing
Data Analysis
Business logic, KPI definition, trend interpretation, exception identification
Domain Expertise
Collections, yield, turns, pricing, procurement, TAM, the business context that makes analytics meaningful
AI Readiness
MCP server configuration, structured data layer design, LLM integration, and preparing clean, queryable data so AI tools actually work
The unicorn problem. And it just got harder.
All seven of these are different skillsets, different career paths, and different salary bands. The first six were already hard to find in one person. Now add AI infrastructure: MCP servers, structured data layers, model context pipelines. How many Power BI developers can set that up and prepare a business for AI? Very few. Marquis Data brings all seven plus manufacturing domain knowledge, pre-packaged, with no hiring pipeline required.

"You are the expert in your business.
We are the experts in data.
Together, we go further and faster than either of us can alone."

That's not a tagline. It's the model. Marquis Data is not a software vendor you license and figure out on your own. We are a genuine partner, embedded in your business, accountable to your outcomes, and available when the numbers don't look right on a Tuesday morning.

Start the conversation

Our partnership with Marquis Data has provided ACPI with a platform that will support all of our acquisitions, has allowed us to capture real-time changes in product costs, and has dramatically reduced the hours needed to generate our analysis.

Cabinet Works Group · ACPI
PE-owned specialty manufacturer · Multi-ERP environment

See what 20 years of experience looks like on your data.

We'll connect to your ERP, run your data through the platform, and show you what Marquis IQ looks like in your environment, in 30 minutes, with your numbers.