Metrica

Metrica Software. The data layer behind enterprise Power BI reporting.

For enterprise BI teams who’ve inherited the problem of connecting Power BI to SAP, Salesforce, or HubSpot — and are tired of owning pipelines nobody wanted to build. We replaced that work with a supported layer: no-code, production-grade connectors that give Power BI reliable access to the systems where enterprise data actually lives.

In production
at enterprises like
IBM EY. intel® SIEMENS cisco Hewlett Packard
Enterprise
— Origins

Metrica was founded by a small team of engineers who had, between them, spent years on the inside of enterprise analytics — the part of the stack where BI platforms meet the systems that actually run the business. They had built extracts from ECC, designed Salesforce data models, stood up Power BI environments at Fortune 500 scale. And they had watched, repeatedly, the same thing break: BI teams delivering reports on data that lives in systems they don’t control, through pipelines nobody wants to own, rebuilt by hand after every source-system upgrade.

The first customer was a manufacturing group whose analytics team was rebuilding ERP extracts by hand after every support pack. The commitment was simple: give them a supported layer, and take the weight of the pipeline off their desk. That single engagement became the blueprint for everything since — build it once, build it to last, and carry the operational weight on our side.

/ 01 · RIGOR

Correctness before velocity.

Enterprise reporting carries consequences. We design for defensibility — auditable behavior, predictable results, no silent failures — before we optimize for speed or surface area. If we can’t explain a result, we don’t ship it.

/ 02 · STABILITY

Designed to run, not demo.

Everything we build is designed to operate in production for years, not to demo well for a quarter. That shapes our architecture, our release cadence, our support posture, and what we choose not to build.

/ 03 · OWNERSHIP

Own the outcome, not the ticket.

Our job isn’t done when a ticket closes. It’s done when the customer’s report runs reliably on Monday morning. Support, engineering, and product share that single measure.

/ 04 · RESTRAINT

Say no to scope creep.

Enterprise software rots from the inside when it tries to be everything. We stay focused on connectivity — the hardest, most overlooked part of the stack — and resist the pull to build around it.

/ 05 · TRUST

Earn it at the access layer.

Data trust isn’t a brand exercise. It’s built at the point where our software reads a customer’s system — with the right scopes, the right audit trail, and the right behavior under failure. Everything else is downstream.

/ 06 · PLAINNESS

Write what we mean.

In the product, in the docs, in sales conversations: no slogans, no magic, no ambient language. We describe what the connector does and doesn’t do, in words the buyer’s security review can pass straight through.

§ 05 / FACTS
— As of Q2 2026

Metrica, in plain numbers.

/ ENTERPRISES
340+

Enterprises running Metrica connectors in production today, across mid-market, Fortune 1000, and public sector customers.

/ COUNTRIES
28

Countries where Metrica is deployed, with delivery hubs in Boston and Warsaw covering customers in North America, Europe, and APAC.

/ CONNECTORS
3

Production connectors today — Salesforce, SAP, HubSpot — built on one shared architecture and one operating model.

/ UPTIME
99.97%

Trailing 12-month gateway availability across all customer regions, reported continuously on the Trust Center status page.

/ NET RETENTION
96%

Trailing three-year net revenue retention across enterprise customers — the strongest signal that the layer is doing the job it was hired to do.

/ RELEASE CADENCE
6 wks

Typical production release cycle. Predictable, versioned, with backwards-compatible upgrades and a published deprecation policy — not surprise rewrites.

/ P1 RESPONSE
< 1 hr

Contracted first response on Priority 1 incidents, 24×7, to engineers who built the connector — not tier-one triage.

/ COMPLIANCE
SOC 2Type II

Annual third-party audit of security, availability and confidentiality controls.

/ INDUSTRIES

Where Metrica runs

Financial services, manufacturing, healthcare, public sector, technology, professional services. Concentrated in regulated industries where reporting is defensible by default.

/ GEOGRAPHY

Where it operates

North America (US, Canada), Europe (UK, Germany, Nordics, Poland, BENELUX), APAC (Australia, Singapore), with growing deployment footprint across LATAM.

/ OWNERS

Who owns the layer

BI & Data Platform teams, Centers of Excellence, RevOps, Finance & Controlling. Metrica gives them control of the access layer without pulling in central engineering.

/ SCALE

Size of reach

From 50-seat mid-market deployments to Power BI estates with 10,000+ users. One operating model spans both ends, which is what makes it a platform.

/ 01 · LONG-TERM SUPPORT

Stable connectors, for the long haul.

We commit to supporting each released connector for at least five years after GA, with security patches and source-system compatibility maintained throughout. Customers should be able to plan on us.

/ 02 · INTEROPERABILITY

No customer lock-in.

Our connectors expose open, documented interfaces. Customers can always extract their configuration, audit logs, and operational data — and switch off Metrica without their Power BI environment becoming unworkable.

/ 03 · SECURITY & PRIVACY

Data access, never data accumulation.

Metrica reads data on the customer’s behalf. We don’t replicate, aggregate, resell, or train on customer data — not by policy, not by architecture. What runs on customer infrastructure, stays there.

/ 04 · TRANSPARENCY

Published status, published roadmap.

Our Trust Center publishes live status and incident history. Our roadmap is shared with customers quarterly. Enterprise buyers should never have to guess what they’re relying on.

/ 05 · RESPONSIBLE AI

AI in the stack, not in the data path.

Where AI helps — documentation, schema suggestions, support — we use it transparently. We do not put AI in the critical path of data extraction, and we do not send customer data to third-party models.

/ 06 · SUSTAINABILITY

Efficient by design.

Incremental refresh, query pushdown, and smart caching exist for performance — and for the compute footprint they save. A supported layer should be lighter than the pipelines it replaces.

§ 09 / NEXT STEP
— Take the next step

Talk to Metrica about your environment.

Whether you’re evaluating a single connector, comparing architectures, or looking for partnership discussions — we’re happy to hear from you.

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