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One platform. Every GTM data workflow, end to end
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From raw data to revenue-ready, step by step
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Clean, unify, and activate your GTM data, your way
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Your stack, your rules, your data
Services
Expert help to get your GTM stack running fast
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A platform that works with any vendor you already use
Openprise vs iPaaS
Built for GTM workflows, not generic API plumbing
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Solving AI's last mile problem
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Platform
Back
Platform overview
One platform. Every GTM data workflow, end to end
How it works
From raw data to revenue-ready, step by step
Data orchestration
Clean, unify, and activate your GTM data, your way
Al orchestration
Scale your Al operations with data you can trust
Integrations
Connect every tool in your stack, no code needed
App Factory
Build custom GTM apps without writing a single line
API Factory
Extend your stack with APls your Ops team controls
Solutions
Back
Featured solutions
All solutions
Every GTM workflow, automated. One platform, zero silos
List loading
Load clean, matched, enriched lists in minutes, not hours
System integration
De-silo your CRM, MAP, and data warehouse without IT tickets
Cleansing & standardization
Stop bad data before it wrecks your pipeline
Deduplication
One record per account. No more CRM chaos.
Segmentation
Cut your database exactly how your campaigns need it
Multi-vendor data enrichment
Fill every gap your single data vendor leaves behind
Matching and routing
Right lead, right rep, right now
Lead & account scoring
Focus your team where revenue is most likely
Solutions for your role
Marketing operations
Stop firefighting data, start building pipeline that converts
Sales operations
Give reps clean data and faster speed-to-lead
Revenue operations
One data truth powering every team across the funnel
Why Openprise
Back
Why Openprise
What makes us different
Your stack, your rules, your data
Services
Expert help to get your GTM stack running fast
Compare
Openprise vs data vendors
A platform that works with any vendor you already use
Openprise vs iPaaS
Built for GTM workflows, not generic API plumbing
Openprise vs Al point tools
Solving Al's last mile problem
Customers
Back
Customer stories
Real Ops teams. Real numbers. See what's possible.
Driver awards
Recognizing the Ops leaders building smarter GTM stacks
Resources
Back
Resource library
Guides, reports, and playbooks your Ops team will actually use
Blogs
No fluff - Just sharp thinking from inside the ops trenches
Events
Learn, connect, and level up your GTMOps practice
Certification program
Prove your GTM Ops expertise - Get certified!
Customer Story
Customer Story

Armanino built a unified GTM data foundation across three systems with Openprise

Openprise standardized NAICS codes, connected Dynamics, Eloqua, and billing into a single orchestration pipeline, and extended enrichment coverage through a multi-vendor waterfall — giving the Ops team clean, consistent data they could build on.

Outcomes

1,000+
NAICS code variations reduced to 72 clean, standardized values
3
multi-touch attribution models built in weeks, including buying committee-level logic
1
multi-vendor enrichment waterfall replacing disconnected single-vendor coverage gaps
Challenge
Armanino's database held 1,000+ NAICS code variations accumulated over the years, making industry-based segmentation unreliable. Data across Microsoft Dynamics, Eloqua, and billing lived in three separate silos with no automated flow between them, forcing manual reconciliation that was slow, inconsistent, and unsustainable.
Solution
Openprise standardized 1,000+ NAICS variations down to 72 clean values and built automated flows connecting all three systems into a single orchestration pipeline. Multi-vendor enrichment was layered on top, filling coverage gaps that a single data vendor could not address.
Impact
Segmentation became reliable and scalable. The three siloed systems now operate from the same clean data foundation. Manual reconciliation work was eliminated. And the Ops team regained the time and confidence to focus on GTM execution rather than firefighting data issues.

Challenge

Armanino is one of the largest independent accounting and advisory firms in the United States. Their GTM motion spans a wide range of industries, which means accurate industry classification is foundational to everything from campaign targeting to client segmentation to reporting. But the data underlying that classification had accumulated over the years without consistent standards. More than 1,000 variations of NAICS codes existed in their database — different formats, different levels of specificity, entered at different points in time by different teams. Industry segments that should have been cleanly defined were effectively unusable for targeting at scale. At the same time, the three core systems in their GTM stack — Microsoft Dynamics, Eloqua, and billing — were operating independently. Data updated in one system did not automatically flow to the others, which meant the Ops team was manually reconciling information across all three on an ongoing basis, resulting in inconsistencies that undermined both campaign accuracy and management reporting.

Solution

Armanino deployed Openprise to address the NAICS standardization problem first. Using Openprise's no-code rule builder, the team mapped 1,000+ variations of NAICS code data down to 72 clean, consistent values — establishing a single classification standard that every system, every campaign, and every report could rely on. The logic applied automatically to every record entering the database, which meant the standardization was not a one-time cleanup but an ongoing process that maintained itself. Industry segments that had previously required manual verification before use became reliable by default.

With the data foundation in place, Openprise connected the three systems that had been operating in isolation. Microsoft Dynamics, Eloqua, and billing were integrated into a unified orchestration pipeline, with data flowing automatically between them rather than being reconciled manually. Multi-vendor enrichment was layered on top of that unified foundation — sequencing multiple data providers in a waterfall logic that extended coverage across Armanino's account database and filled what any single vendor left behind. The full implementation gave Armanino's Ops team a GTM data stack that operated as one coherent system for the first time.

Impact

The most immediate change was in segmentation quality. With 1,000+ NAICS variations collapsed into 72 standardized values, Armanino's industry classification data became something the Ops team could actually rely on. Campaigns built on industry segments were now targeting the right audiences with confidence — no manual verification step required, no risk of a differently formatted NAICS entry excluding a record that should have been included.

Eliminating the silos between Dynamics, Eloqua, and billing removed the single biggest source of operational friction in Armanino's GTM data process. Data entered or updated in any one system is now propagated automatically to the others. The hours previously spent reconciling discrepancies between systems were redirected to higher-value work. Reporting across GTM functions became more consistent because the underlying data was consistent — the CRM, the MAP, and the billing system were finally telling the same story.

The multi-vendor enrichment layer extended those gains into account coverage. Records that a single enrichment vendor could not fully populate were filled by the next provider in the waterfall sequence — without adding vendor management complexity or requiring manual intervention from the Ops team. Taken together, the standardization, integration, and enrichment work gave Armanino a data foundation that supports accurate segmentation, reliable reporting, and confident GTM decision-making that had previously been out of reach.

1,000
NAICS code variations standardized to 72 clean values
3
Multi-touch attribution models built in weeks, including buying committee logic
1
Unified orchestration pipeline replacing manual cross-system reconciliation

Other customer stories

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Clari replaced APEX code with Openprise, built 3 attribution models in weeks, and saved $80k doing it

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Rimini Street saved 108+ hours a week and eliminated 40 Ops tickets — without adding headcount

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Armanino built a unified GTM data foundation across three systems with Openprise

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Your data is probably messier than you think.
99% of RevOps teams report at least one meaningful data quality problem. The good news: it's fixable. See how.
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