COLTENE Unifies Global Data

Modernizing SAP data with Snowflake and Coalesce to create a single source of truth
Company:
COLTENE
HQ:
Altstätten, Switzerland
Industry:
Healthcare
Employees:
1,200
Product Used:
Transform
Stack:

COLTENE is a global dental technology manufacturer headquartered in Altstätten, Switzerland, with approximately 1,200 employees and multiple production sites worldwide. COLTENE relies on accurate, timely data across operations, logistics, and finance to manage its supply chain and meet reporting obligations.

Over time, critical data became fragmented across SAP, Excel, and local systems, with teams maintaining their own versions of key metrics. To support more consistent, data-driven decision making, COLTENE modernized its architecture around Snowflake as its cloud data warehouse and Coalesce as its transformation platform. The goal: a single source of truth, faster interfaces that move from idea to production in hours instead of days, and onboarding measured in weeks rather than months.

The challenge

When Director IT Alexander Grutsch reviewed COLTENE’s reporting landscape, he found a fragile environment built on SAP Business Warehouse, legacy BI tools, and sprawling spreadsheets. Business leaders compared multiple versions of the same metrics, while overnight batch jobs and opaque process chains made every change slow and risky.

”[We
the usual traps, comparing different numbers, and trying to resolve which one is correct. Due to the vast majority of different reports, we lost a lot of valuable time.” name=”Alexander Grutsch” bio=”Director IT” image=”https://coalesce.io/wp-content/uploads/2026/02/logo-card-coltene.png”]

The evaluation

COLTENE set out to select a cloud data warehouse and transformation platform that could scale with SAP data, reduce manual SQL development, and remain manageable for a lean team.

Starting from the basic idea of using cloud data warehousing technology to process big data, we arrived at Snowflake as our technology of choice. Snowflake recommended that we take a look at Coalesce, and that's how our journey started.
Alexander Grutsch
Director IT

The migration

COLTENE began with two high-impact use cases: logistics reporting and financial and sales reporting that previously relied on SAP BW and Excel. Working with consulting partner Xebia and an internal SAP/BW specialist, the team rebuilt business warehouse logic directly in Snowflake, using Coalesce to design and orchestrate pipelines.

The learning curve was great, and in a very short time, good results have been achieved with Coalesce.
Alexander Grutsch
Director IT

SAP data was first ingested into Snowflake, where JSON-based extracts from dozens of source tables were converted into usable relational structures. Coalesce’s visual node types, built-in handling of SAP JSON, and environment promotion simplified development and deployment. In total, the team migrated 82 SAP tables, with complex scenarios now taking roughly two to three times less development time than before.

Coalesce lowers the effort needed to write the required queries and get a structured approach. Having the ability to develop certain new things and transport them over to a productive environment helps a lot.
Alexander Grutsch
Director IT

The impact

With Snowflake and Coalesce in place, COLTENE replaced scattered reports and brittle spreadsheets with a unified, governed data platform. The company established a single source of truth, reduced interface development from days to hours, accelerated onboarding, and laid the groundwork for AI-driven analytics.

IT gains a unified data platform across global sites

Previously, each region relied on its own mix of SAP extracts, legacy BW reports, and Excel models, often using different definitions for sales, inventory, and backorders. Data refreshed only once per night, and tracing KPIs back to SAP required hours of manual work.

Right now we are building the foundation of a single-source of truth data view across all sites and a platform to further develop towards AI forecasting, simulation, and much more.
Alexander Grutsch
Director IT

COLTENE standardized on Snowflake as its central data source, with Coalesce preparing and combining SAP and other systems into shared models. The data team built six to seven pipeline endpoints that serve as consistent interfaces for analytics tools and downstream applications. Coalesce lineage made it easy to trace metrics from dashboards back to SAP source tables, supporting governance and faster change. The platform is now ready to integrate additional ERP systems without creating new silos.

The data team delivers insights faster with less effort

Before the migration, progress depended heavily on a single SAP/BW expert responsible for complex logic and process chains. Coalesce introduced a structured, visual approach to pipeline development, with configurable node types for joins, slowly changing dimensions, and SAP JSON handling.

As two additional data engineers joined, they became productive within weeks. Today, three internal users plus a consulting partner maintain pipelines at a pace that would have taken roughly three times longer using the legacy BI stack.

The data lineage functionality is really great for us in understanding where numbers come from and how they are combined.
Alexander Grutsch
Director IT

Business teams trust a single source of truth

For business users, the shift from personal spreadsheets to centrally governed data was immediate. A critical logistics use case that once depended on a fragile Excel file is now delivered as a daily updated dashboard powered by Snowflake and Coalesce. Finance, sales, and operations teams align on shared definitions while retaining flexibility to explore data in Power BI.

Lineage visibility reduced reconciliation work and increased trust in group-level reporting, including confidence in the one-day reporting delay. At the same time, the new platform opened the door to innovation. COLTENE plans to shorten refresh cycles toward hourly updates and use Coalesce-built interfaces to power new data products, such as exposing order and logistics status to customers and suppliers.

An AI initiative is already underway, using this trusted data for forecasting, simulation, document-based use cases, and other advanced analytics, reinforcing COLTENE’s shift toward data-driven decision making.

We can develop something, and when it's finished, you push it over to production. This separation of development and go-live helps us work in a structured manner.
Alexander Grutsch
Director IT