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Why Manufacturing Data Problems Keep Coming Backand How Data Governance Breaks the Cycle
Led by Piotr Gomulak, Data Governance and MDM expert who has built data foundations for Procter & Gamble, Boehringer Ingelheim, Becton Dickinson, TK Elevator, Wavin, Oriflame and Publicis Groupe.
You fix the same ERP errors every month. Every plant has its own version of the numbers. Traceability reports are still stitched together in Excel. The problem isn’t your technology. It’s the lack of clear rules about who owns your data and how it’s maintained.
in partnership with
Data problems are costing manufacturers every single week.
of organizations spend at least one day a week fixing master data quality issues.1
of Canadian SMEs have data that is not integrated or only partially integrated.2
the cost of a single hour of unplanned downtime for a small or mid-sized manufacturer, at the high end.3
Piotr Gomulak
Head of Data Governance & Master Data Solutions, Ambiscale
For more than a decade, Piotr has designed the Data Governance frameworks, Data Quality strategies and Master Data Management ecosystems that global manufacturers rely on to keep their data consistent, compliant and AI-ready.
- Procter & Gamble
- Boehringer Ingelheim
- Becton Dickinson
- TK Elevator
- Wavin
- Fujitsu
- Oriflame
- Publicis Groupe
In this webinar, he brings those lessons down to the reality of mid-market manufacturers: what to put in place first, what to avoid, and how to make data governance stick.
Save my seatIf you nod at more than one of these, this webinar is for you.
- Product, bill-of-materials or supplier data doesn’t match between your ERP and MES.
- Cross-plant reporting takes hours of manual reconciliation.
- Quality traceability depends on spreadsheets and a few key people.
- The fixes you make today will need to be redone in three months.
- Nobody is clearly accountable for the quality of any given piece of data.
You’re not alone.
80% of organizations have divisions operating in silos, each with its own systems and data practices,1 and 66% still manage master data quality through manual review.1
The cost of waiting keeps going up.
Downtime is more expensive than ever.
For a small or mid-sized manufacturer, an hour of unplanned downtime can reach US$150,000 at the high end.3 Reliable maintenance and production data are the foundation of any prevention strategy.
AI won’t fix poorly governed data.
Companies that feed internal data into their AI tools are far more satisfied with the results (85% vs. 64%).2 Without governance, AI simply amplifies inconsistencies.
Data governance is too often left to IT alone.
Only 16% of master data management programs are funded as organization-wide strategic initiatives. In 64% of cases, IT carries the bill.1 This webinar gives you the arguments to change that.
A practical playbook, not theory.
- Why one-off fixes don’t stick, and what really causes recurring data problems.
- How to define data owner and data steward roles without creating bureaucracy.
- How to establish a single source of truth for your ERP and MES data.
- Where to start: a first data domain, quick wins, and the quality metrics to track.
- How to position data governance as a business priority, not just an IT project.
Built for IT leaders at mid-market manufacturers.
IT directors and VPs, infrastructure managers and ERP analysts at mid-market manufacturers in metal fabrication, pulp and paper, electrical and electronic manufacturing, and food production.
Meet the team behind the session.
Piotr Gomulak
Data Governance Architect and MDM expert with 10+ years of experience across global organizations.
Piotr Zalewski
Data Governance Consultant specializing in Master Data Governance for global enterprises. He has worked with organizations such as Merck, Siemens Energy and JLL.
Jean-François Paquette
Database expert with more than 25 years of experience. As CEO of Nova DBA, he leads a team of senior DBAs who keep data available, fast and secure for mid-market organizations across North America.
About Ambiscale: Ambiscale is a Poland-based technology company with a dedicated data governance and MDM team. We help organizations define clear data ownership, raise data quality and meet compliance requirements, with a focus on solutions that work both technically and organizationally.About Nova DBA: Nova DBA is a managed database services firm whose senior DBAs work as an extension of clients’ teams on SQL Server, Oracle, PostgreSQL, and MySQL, keeping data available, fast, and secure for organizations such as specialty food producer Stonewall Kitchen.Seats are limited. Save yours today.
Break the cycle of recurring data problems for good.
