At a Fortune 500 retailer, our CTO Luciano watched teams argue over "the right" revenue number before every board meeting. Data teams spent weeks reconciling KPIs instead of improving them. As we spoke with more mid‑market and enterprise organizations with modern data stacks or migrations underway, we kept seeing the same thing: no shared, governed metric model that business and data could both stand behind.

As founders we spent years in the Snowflake, Databricks, and dbt ecosystems and saw the same pattern. Architects and SIs told us they were quietly building their own metric layers because nothing on the market solved the problem. That validation from platform teams and partners convinced us to build Duodata as a business‑first conceptual metrics layer instead of yet another bolt‑on tool.

We are working side by side with early customers and specialist SIs to make Duodata the obvious place to keep business‑approved metric definitions. Next we're packaging our metrics workshops, targeting a Snowflake Native App listing, and deepening our Databricks integration. Our goal for 2026 is simple: when serious data teams decide to fix metrics chaos before scaling analytics or AI, they start with Duodata.

Andreas Schurch

Co-founder & CEO

Ex‑AWS Head of Partner GTM with 20+ years scaling cloud data ecosystems and partner‑led revenue.

• •Tripled AWS Marketplace partner revenue and reach by building a global ISV and SI partner motion.
• •Led data & partner GTM at Alteryx, Matillion, and VaultSpeed; now works with Duodata customers to design metrics governance programs that align business, data, and AI.

Luciano Franceschina

Co-founder & CTO

Startup CTO and enterprise data‑platform architect turning messy operational data into governed analytics products.

• •Co‑founded Teralytics, building a petabyte‑scale mobility analytics platform that turned anonymized mobile data into insights for cities, transit agencies, and utilities.
• •Led data governance at Migros, Switzerland's largest retailer, and now designs Duodata's conceptual metrics model and AI‑assisted workflows across Snowflake, Databricks, BI tools, and AI assistants.

Frans Germishuizen

Databricks Architecture Advisor

Databricks architect and modern data‑stack authority helping enterprises build governed lakehouse platforms.

• •Delivered governed cloud data platforms for global enterprises, leading Medallion‑architected lakehouses and real‑time analytics on Databricks.
• •Built and led the Data Architecture practice at Nexus Data (30+ engineers) and advises Duodata on best‑practice integrations from raw data to AI and executive dashboards.

Bryan Mull

Snowflake Lead Architect

Snowflake and Data Vault architect helping enterprises modernize their cloud data stacks

• •Founded datastack.cloud and Data Wranglers to help teams stand up best‑of‑breed Snowflake and dbt stacks, fast
• •Designed and implemented data vault–based warehouses for healthcare and insurance organizations, from population health to enterprise analytics

Mona Zivkovic

Engineering & GTM Ops Director

Digital operations and engineering leader who keeps distributed teams aligned, on schedule, and focused on outcomes.

• •Brings 15+ years of project and operations leadership, running 50+ person cross‑functional squads across engineering, UX, content, and marketing to ship complex SaaS platforms on time and within budget.
• •Builds and runs Duodata's day‑to‑day operating system, from Jira and Confluence workflows to risk and capacity planning and client communication, so founders and architects can focus on product and partners.

Shawn Johnson

Semantic Engineering Advisor

Modern data‑stack sales engineer who scales adoption through demos, enablement, and best‑practice content.

• •Led technical sales and training at cloud data companies like Matillion and Fivetran, driving industry‑leading trial‑to‑ARR conversion on modern data platforms.
• •Built and delivered workshops, webinars, and best‑practice content on data modeling and ELT that helped customers modernize to cloud warehouses.