They Trust Us
OMrun has given us a lot of value for many years. The fully automated smoke tests for each environment integrated with a high number of business process tests allowed us to bring down our release cycle from quarterly to twice a month.
The permanent insight into master reference data and process quality via the openly displayed OMdashboard gave us a boost in productivity, transparency as well as motivation and reduced reaction times to an absolute minimum.
OMrun has enabled us in a simple and transparent way to align master data from different reporting systems quickly and to identify and to correct potential errors early. As a result data quality as a whole has been improved significantly.
Cooperation with OMIS was always professional and driven by partnership mindset and the project success has been assured very rapidly.
In a complex application with many interfaces to other systems, OMrun is running our quality assurance checks like the daily monitoring of the data integrity, the reconciliation of the general ledger and the sub-ledgers as well as the quality checks of the data warehouse. We are thankful that OMrun is supporting quality assurance and internal controls in such a highly efficient manner.
That’s why I became a fan of OMrun!
Your Data Drives Decisions. Make Sure It’s Right.
Bad data doesn’t announce itself. It hides in dashboards, slips through migrations, and surfaces only after it has caused damage: A failed release, a misleading KPI, a botched go-live.
OMrun gives your teams objective confidence in their data. Automatically and continuously. At every stage of the data lifecycle.
Three Ways OMrun Protects Your Data Quality
OMrun is built on three focused pillars, each addressing a distinct and critical data quality challenge.
Pillar 1: Data Testing
Automatically test data throughout its entire lifecycle
When you release a new software version, upgrade a system, or consolidate platforms, data regressions can go undetected until they reach production. OMrun simulates real application activity, validates outputs, and detects regression failures automatically before they impact end users.
What you gain:
- Fewer production incidents
- Safer, faster software releases
- Measurable cost savings through early detection
Who needs this: IT Team Leaders managing data processes in environments where release quality and stability are critical (e.g. tax offices, public administrations).
Pillar 2: Data Observability & Consistency
Trust every dashboard and KPI, not just some of them
When your analytics are disconnected from source systems, decisions get made on stale or incorrect data. OMrun monitors data freshness, volumes, trends, and anomalies across your entire analytics stack, including APIs in heterogeneous environments, and immediately flags drift, missing data, or abnormal behaviour.
What you gain:
- Guaranteed completeness, correctness, and consistency
- Trusted dashboards and KPIs at all times
- Proactive alerts before stakeholders notice an issue
Who needs this: CFOs and Controlling teams in banks and insurance companies who rely on real-time data accuracy for financial and operational reporting.
Pillar 3: Data Validation
Prove your data is correct before go-live, not after
Platform migrations (e.g. Oracle to PostgreSQL) are high-risk events. Manual data validation is slow, error-prone, and impossible to scale. OMrun automatically generates comparison scripts, accepts expected transformations, detects unintended changes, and delivers objective, auditable proof that source and target data are aligned.
What you gain:
- Zero-ambiguity sign-off before go-live
- Automated comparison between source and target systems
- Reduced migration risk and faster stakeholder acceptance
Who needs this: Project Managers and Customer Managers at software providers overseeing large-scale database or platform migrations.
Data comparison process
Built for the Teams Responsible for Data Integrity
| Challenge | Role | Industry | OMrun Pillar |
|---|---|---|---|
| Data regressions during releases and upgrades | IT Team Leader | Public sector, Tax authorities | Data Testing |
| Platform migrations (Oracle to PostgreSQL, etc.) | Project Manager, Customer Manager | Software providers, Pharma industry | Data Validation |
| Inconsistent analytics and dashboards | CFO, Controlling | Banking, Insurance, Pharma industry | Data Observability & Consistency |
What Changes When You Run on OMrun
Organizations using OMrun enjoy consistent improvements across the data delivery chain:
- Earlier issue detection: problems are caught in test environments, not in production
- Faster, safer releases: automated regression testing removes the guesswork from go-lives
- Trusted analytics: every dashboard and report reflects the source of truth
- Lower migration risk: objective proof replaces manual sign-off procedures
- Less manual effort: automation frees engineering teams to focus on value
OMrun Modules
OMrun consists of several modules, each designed for a specific functionality.
OMrun Modules
- OMrun CLI: Automates scenarios for smooth process management.
- OMrun Studio: Creates and adjusts scenarios for easy configuration and testing.
- OMmigration: Migrates data from a source environment to a target environment without loss.
- OMconversion: Converts various data formats to XML for easy interoperability.
- OMgenerator: Generates comparison scripts to simplify data comparison management.
Frequently Asked Questions
What makes OMrun different from a traditional data quality or testing tool?
Most data quality tools focus on profiling or cleaning data at a single point in time. OMrun is designed for continuous quality: It operates across the full data lifecycle, covering releases, live analytics environments, and migrations. Rather than reporting on data quality after the fact, OMrun detects issues proactively and automatically, before they reach production or influence business decisions.
Can OMrun be used during a platform migration from Oracle to PostgreSQL?
Yes, this is one of OMrun’s core strengths. The Data Validation pillar is specifically built for large-scale platform migrations. OMrun automatically generates comparison scripts between source and target databases, accepts expected data transformations, and flags any unintended changes. The result is objective, auditable proof of data integrity that accelerates go-live acceptance and reduces risk for all stakeholders.
How quickly can a team get value from OMrun?
OMrun is designed to integrate into existing data environments without lengthy setup phases. Teams typically start with one pillar, most commonly Data Testing or Data Validation, and see results within the first sprint cycle. Because OMrun automates what was previously manual (script writing, comparison, anomaly detection), the productivity gain is immediate and measurable from day one.
What data sources and systems does OMrun connect to?
OMrun supports a wide range of database systems and data types through preconfigured adapters. New adapters can be independently integrated by each team without requiring vendor involvement, and the adapter library is continuously expanded. A full compatibility overview is available in the OMrun documentation.
How does OMrun support GDPR compliance?
OMrun includes a built-in data pseudonymization capability that automatically anonymizes sensitive fields before data is moved, compared, or tested. This allows teams to work with realistic datasets in non-production environments while staying fully compliant with GDPR. The rules governing pseudonymization are defined and stored directly in OMrun, ensuring full traceability and auditability.
Can OMrun integrate with existing orchestration and CI/CD pipelines?
Yes. OMrun includes an integrated process engine that connects natively to leading orchestration and test management platforms: UC4 (Automic), Control-M, Tosca Testsuite, HP ALM/QC, and Jenkins. OMrun can act as the primary orchestrator or be called as a secondary process within an existing automation pipeline, making it straightforward to embed into any enterprise delivery chain.
Is OMrun suitable for regulated industries like banking, insurance, or pharma?
Absolutely. OMrun was designed with regulated environments in mind. Its auditable comparison reports, pseudonymization capabilities, and automated validation workflows make it a natural fit for industries where data integrity, traceability, and compliance are non-negotiable. Organizations in financial services, insurance, and pharmaceutical sectors use OMrun to meet stringent regulatory requirements while accelerating their data processes.
Resources and Useful Links
To learn more about OMrun and its features, check out the following resources:
Your cutting-edge solution to check and improve data quality
See OMrun in Action
OMrun is swiss made software labeled
swiss made software stands for state-of-the-art Swiss ICT products and values such as quality, innovation and precision in software development.
They trust us
OMrun has given us a lot of value for many years. The fully automated smoke tests for each environment integrated with a high number of business process tests allowed us to bring down our release cycle from quarterly to twice a month.
The permanent insight into master reference data and process quality via the openly displayed OMdashboard gave us a boost in productivity, transparency as well as motivation and reduced reaction times to an absolute minimum.
We have used OMrun to meet expectations of external audits over our firewall management and to complete an extensive data clean-up and several reconciliations before the migration to a new workflow engine.
OMrun has rendered knight services to us and established transparancy to our systems in minimal time, what we could not have achieved on our own.
OMrun has helped us in these areas within a very short time span:
Setting up a data reconciliation between the Avaloq core banking system and the e-banking system AFS in three days. The identified inconsistencies have led to data cleansing and software corrections.
In a further day the reconciliation has been automated to ensure data consistency daily. This has generated a lot of confidence within the business and greatly reduced operational risks.
Because of the good experiences, Rothschild Bank plans to expand the usage of OMrun to other applications / data sources.
OMrun has enabled us in a simple and transparent way to align master data from different reporting systems quickly and to identify and to correct potential errors early. As a result data quality as a whole has been improved significantly.
Cooperation with OMIS was always professional and driven by partnership mindset and the project success has been assured very rapidly.
In a complex application with many interfaces to other systems, OMrun is running our quality assurance checks like the daily monitoring of the data integrity, the reconciliation of the general ledger and the sub-ledgers as well as the quality checks of the data warehouse. We are thankful that OMrun is supporting quality assurance and internal controls in such a highly efficient manner.
That’s why I became a fan of OMrun!
