Meet With Us
Meet With Us
80+ PE Firms · 250+ Portfolio Companies · 100% U.S.-Based

Your data exists.
Your team can't get to it.

NuView Analytics is the only data and analytics firm built exclusively for PE-backed mid-market companies. We connect your systems, build the infrastructure, and get your business AI-ready. In weeks, not months.
Meet With Us
No-cost Data Diagnostic · 2 to 4 weeks · You own the output

110+ PE firms. 250+ portfolio companies. One specialty.

Baird logoCouncil Capital logo.Juggernaut Capital Partners logo
KKR50 logoBoulder Ventures logoGridiron Capital logoBain Capital logoSummit Partners logo
When Companies Call Us

Every insight has to be earned the hard way.

Most PE-backed companies aren't short on data. They're short on access. The numbers exist, spread across ERPs, CRMs, payroll systems, and spreadsheets that don't talk to each other. Getting to them requires calling someone, waiting for a report, or rebuilding the same Excel file for the fourth time this week.
The data is there. The access isn't.
Your ERP holds trusted, audited data. Your CRM holds pipeline activity. Your payroll system holds headcount. None of them talk to each other and nobody has the time to connect them.
One person is holding it all together.
There's always one. The IT director, the finance analyst, the lone developer. They know where everything is, they build every report, and when they leave, nobody knows where anything is.
The board wants numbers you can't produce quickly.
Consolidated revenue across two entities. EBITDA by division. WIP visibility for the sales team. These aren't complicated requests. They just take two days and three people to answer.
You acquired a company. Now you have two of everything.
Two ERPs. Two reporting systems. Two versions of the truth. And a PE firm expecting a unified view of the business by next quarter.
Your reporting tells you what happened. Not what's happening.
By the time the weekly report lands, the moment has passed. You're managing the business from the rearview mirror.
Don't see your problem here?
We have worked inside 250+ PE-backed companies. Whatever you are dealing with, we have probably seen it. Let's talk.
Start the conversation →
When Companies Call Us

Six situations that tell us a company is ready.

After 300+ Data Diagnostic interviews across PE-backed companies, we know exactly what precedes the call. If any of these sound like your current situation, you're in the right place.
A serious man with dark hair and a trimmed beard wearing a blue striped shirt looks intently at a laptop screen indoors with large windows behind him.
Ops, finance, and sales are each working from a different version of the truth. Nobody agrees on the same number, and nobody fully trusts the reports they're using to run the business.
Woman with glasses sitting at a desk working on a desktop computer in a dimly lit office at night, with a coffee cup and office supplies on the desk.
One or two people are holding the entire analytics function together with Excel, custom scripts, and institutional memory. Every report is a manual effort. Every request goes through the same person.
A man in a blue blazer warmly shaking hands with a smiling woman in a light suit across a conference table while two colleagues look on and applaud in a modern office.
A new entity came in with its own ERP, its own systems, and its own way of doing things. You now have two of everything and no unified view of the combined business.
Middle-aged man in a gray vest and blue shirt working on a laptop at a counter in a hardware store with shelves of tools and equipment in the background.
New locations, product lines, channels, or volume have added complexity faster than your reporting environment can handle. What worked at half the size doesn't work anymore.
Four business professionals in a modern office conference room, with one person seen from the side in foreground and others blurred in background around a table with a laptop displaying a bar chart.
Your PE firm is asking for cleaner reporting, better forecasting, or a data room that holds up under diligence. The infrastructure to support that doesn't exist yet.
Man in a blue shirt sitting at a desk with dual monitors showing a critical error message, looking stressed and with hands covering his mouth in an office with others working in the background.
Leadership is ready to explore AI and advanced analytics. But the data isn't clean enough, connected enough, or structured enough to support it. The foundation has to come first.
01
Inconsistent Numbers
Ops, finance, and sales are each working from a different version of the truth. Nobody agrees on the same number, and nobody fully trusts the reports they're using to run the business.
02
Manual Reporting Is a Bottleneck
One or two people are holding the entire analytics function together with Excel, custom scripts, and institutional memory. Every report is a manual effort. Every request goes through the same person.
03
An Acquisition Just Closed
A new entity came in with its own ERP, its own systems, and its own way of doing things. You now have two of everything and no unified view of the combined business.
04
Growth Is Outpacing Your Data
New locations, product lines, channels, or volume have added complexity faster than your reporting environment can handle. What worked at half the size doesn't work anymore.
05
New Investment or Exit Is on the Horizon
Your PE firm is asking for cleaner reporting, better forecasting, or a data room that holds up under diligence. The infrastructure to support that doesn't exist yet.
06
You Want to Use AI But Can't Yet
Leadership is ready to explore AI and advanced analytics. But the data isn't clean enough, connected enough, or structured enough to support it. The foundation has to come first.
Tim Schulte headshot
"NuView stood out for their pragmatic approach, fast deployment, and highly actionable insights. It's clear they specialize in supporting mid-market PE portfolio companies. They have met or exceeded all expectations."
Tim Schulte
Partner, Value Creation Team | Council Capital
Corey Kelley headshot
"We were a challenging customer based on all the disparate data sources we brought to the table. They understood our challenge and beautifully executed connecting them all into a data warehouse and multiple dashboards."
Corey Kelley
CTO and CXO | The Expo Group
"NuView stood out for their pragmatic approach, fast deployment, and highly actionable insights. It's clear they specialize in supporting mid-market PE portfolio companies. They have met or exceeded all expectations."
Tim Schulte
Partner, Value Creation Team | Council Capital
"We were a challenging customer based on all the disparate data sources we brought to the table. They understood our challenge and beautifully executed connecting them all into a data warehouse and multiple dashboards."
Corey Kelley
CTO and CXO | The Expo Group
Our Stance on AI

Every AI initiative needs clean, connected data. Most companies don't have it yet.

NuView doesn't sell AI. We build the foundation that makes it possible. The connected systems, the trusted data layer, and the structured infrastructure that every AI use case depends on. When you're ready for AI, your data will be ready too.
The data is there. The access isn't.
Across 300+ diagnostics, forecasting and predictive analytics scored the lowest of any capability we measure. 3.7 out of 10. Leadership wants AI. The infrastructure isn't there yet.
The foundation has to come first.
AI models are only as good as the data they run on. Disconnected systems and inconsistent data definitions don't just slow down reporting. They make AI impossible. A single, trusted source of truth has to come first.
The infrastructure we build is AI-ready by design.
NuView builds on Microsoft Fabric, Snowflake, or your preferred platform. Natural language querying, machine learning pipelines, and predictive analytics are ready when you are.
Two people sitting at a table looking at a laptop screen displaying graphs and charts; one person points at the screen with a pen.
free data diagnostic

See exactly where your data stands. At no cost.

The NuView Data Diagnostic is a 1 to 3 week assessment that maps your current state, identifies the gaps, and delivers a prioritized roadmap for what to build next. You own the output. No commitment required.
Data analysis report dashboard with multiple sections: Analytics Results showing Gartner Analytics Maturity Curve and insights; Data Pillar Results with a radar chart comparing data maturity pillars and detailed notes on leadership, governance, strategy, infrastructure, and insights; Recommended Architecture outlining new tools including Power BI, Microsoft Fabric, and Fabric Data Pipelines, unchanged existing tools, and proposed architecture diagrams; SWOT Analysis highlighting strengths, weaknesses, opportunities, and threats with icons; two recommended architecture sections side by side; a Recommended Dashboards table listing several dashboards with scope and notes; and Key Themes discussing data bottlenecks, ERP visibility issues, and data consolidation challenges.
We have run Data Diagnostics across PE-backed companies in manufacturing, healthcare, logistics, residential services, professional services, and SaaS. The patterns are consistent. The gaps are predictable. The roadmap is always actionable.
300+
Data Diagnostics completed
1 to 3
Weeks from kickoff to readout
5 to 10
Hours of your team's time required
01
Current State
A complete map of your data sources, systems, and reporting environment. We surface what exists, what's missing, and where the gaps are costing you the most.
02
Data Maturity Score
Your organization scored against NuView's Data and Analytics Maturity Model and benchmarked against 300+ PE-backed companies. You'll know exactly where you stand relative to your peers.
03
Scalable Data Roadmap
A prioritized, actionable plan for what to build and in what order. Designed around your PE timeline, your existing systems, and your team's capacity.
04
Value-Driving KPIs
The specific metrics that matter most for your industry, your investors, and your exit story. Identified, defined, and mapped to the data sources that can produce them.
See Where You Stand
No-cost Data Diagnostic · 2 to 4 weeks · You own the output