Blog Post October 19, 2026 | 3 minutes read

Pioneers, cowboys, and settlers: Our days at Connect in Austin

A partner story from Stibo Systems Connect 2026, told by the team of foryouandyourcustomers who traveled to Texas.

Select an AI tool to explore this article

Pioneers, cowboys, and settlers: Our days at Connect in Austin

Master Data Management Blog by Stibo Systems logo
| 3 minutes read
October 19 2026
Pioneers, cowboys, and settlers: Our days at Connect in Austin
5:27
connect26_partner-blog-fyayc

For some of us, it was the first time in Texas. We landed in Austin with a suitcase full of chocolate, flyers, and raffle tickets, and within the first hour we understood that this city takes its cowboy heritage seriously, and with a smile. Boots in the hotel lobby, live music in the streets, barbecue that needs no explanation. Staying true to the town's tagline, "Keep Austin Weird," Stibo Systems Connect brought a refreshing twist to the usual tech conference routine.

We came as eight colleagues and as one of two Platinum partners of the Stibo Systems' global event. In 2019, we had been a Gold sponsor in Copenhagen. A lot has happened since then, and most of it happened at our customers' sites, not on stages.

A model that suddenly felt very Texan

At foryouandyourcustomers, we use a simple model to think about teams: pioneers, cowboys, and settlers. The pioneer discovers new ground and listens. The cowboy goes for it and gets things done. The settler builds structures that last. Good projects need all three, at the right time.

In Austin, we met all three, in ourselves and in the people around us.

The pioneers: Conversations at the booth

Our booth was not the loudest in the hall. But it was where many of the best conversations of our days happened, and most of them started with a picture rather than a product.

Our Exploded View shows a company like an architect's exploded drawing, on six layers: customers, experience, organization, performance, assets, and data. Put it in front of someone who is fighting with product data in three countries and five systems, and the conversation changes. Within minutes, people stop talking about their platform and start talking about their customers, and about the layer where their trouble really begins. Most of the time, it sits in the data.

Our giveaways were attractive. Many conversations started off with a question of whether there is real Toblerone inside the little boxes, and the difference about black, white, or milk chocolate. The chocolate knives were surprising, and on the first view, understood as a real Swiss Army Knife. Many ate them on the spot while asking who we are and others took them home for their children.

connect26-pioneers

What it always was is a door opener for a good conversation to make ourselves better known in the US market.

That is how we work in master data projects on Stibo Systems' trusted intelligence platform, STEP: requirements flow top down, from what our customer's customers need; implementation flows bottom up, from clean data structures towards the channels.

The cowboys: The hackathon

During Stibo Systems InnovAIte Partner Hackathon, a team of 10 pioneers and cowboys around Jan Schultheiss built Argus: a planning agent that turns a campaign brief into a complete plan in about a minute, reading master data from STEP to find content gaps, demand signals and supplier actions, and linking every figure back to its source. Or, as our colleague puts it: "The model decides what to ask. The tools decide what is truth." We won, and in Austin we got to celebrate it together.

A hackathon is the most honest kind of competition. No slides, no persuasion, only people building something in a short time and showing that it works. Our team did exactly what our model would have asked of them: understand the need first, build from the data upwards, show the result.

connect26-stage

On the river: A dinner among partners

It was the evening most of us still talk about. Away from the booths and the agenda, the conversations became slower and more personal. Somewhere between the second course and the city lights on the water, a partnership stops being a contract and becomes a group of people who know each other. That is the part of Connect no program can schedule.

texas-dinner

On stage: A customer tells the story

Eaton joined us on stage, with Florian Reiter telling the story of our work together from their side. Before Connect, we had asked every customer personally whether we may name them. Some said yes right away, others are still thinking about it, and that is fine with us. A relationship that only works as a reference is not much of a relationship.

The settlers: What stays

When the boots are packed and the booth is taken down, what remains is the settler's work. Clean data structures. Governance that people actually use. Platforms that keep running. More than 80 certified STEP specialists in our teams have delivered over 50 master data management and product information management projects for more than 40 customers. And with the Stibo Systems' STEP Health Check, we help customers who already run the platform to keep it stable and ready for the cloud.

More than 80% of our revenue comes from existing customers. We don't see that as a figure to optimize, but as a sign that the settlements hold.

Back home

We still have no logo and no marketing department. Our Platinum appearance was built by colleagues next to their work with customers, and it showed us once more that this is not a weakness. Without a symbol to hide behind, the only thing people can recognize is how we work with them.

Thank you, Stibo Systems, for our days of pioneering, a little cowboy spirit and the kind of conversations that only happen when people take time for each other.

Master Data Management Blog by Stibo Systems logo

Guido W. Göbel is Partner Manager at foryouandyourcustomers for Stibo Systems and therefore supports organizations in developing their data modeling, data quality, and master data management. As a senior consulting and long-term MDM consultant, he focuses on improving data-driven processes for the long term, especially for customer, supplier, and product data. In his free time, he enjoys being outdoors, whether hiking, jogging, or tending his own vegetable garden, and he loves solving tricky lateral-thinking puzzles.

Connect on:

Discover blogs by topic

  • See more
  • AI
  • Automotive
  • Business Partner Data Cloud
  • Compliance and risk management
  • Consumer packaged goods
  • Customer Experience Data Cloud
  • Customer and party data
  • Customer experience and loyalty
  • Data compliance
  • Data delivery
  • Data governance
  • Data integration
  • Data modeling
  • Data quality
  • Data sharing
  • Data sourcing
  • Digital asset management
  • Digital shelf analytics
  • ERP success
  • Enhanced content
  • Financial services
  • Insurance
  • Life sciences
  • Location Data Cloud
  • Location data
  • MDM strategy
  • Manufacturing
  • Multidomain data
  • Operational efficiency
  • Platform
  • Product Experience Data Cloud
  • Product data and PIM
  • Product data syndication
  • Product onboarding
  • Retail
  • Supplier Data Cloud
  • Supplier data
  • Sustainability
  • Translation and localization
  • User experience
October 19, 2026

Pioneers, cowboys, and settlers: Our days at Connect in Austin

October 15, 2026

Where the PIM market is headed: Trusted product intelligence for content, AI, and more

September 23, 2026

Why business partner relationships complicate master data management

September 16, 2026

Turn your SAP S/4HANA migration into an AI-ready data foundation

September 4, 2026

Turning data platforms into business value with master data management

September 3, 2026

5 master data failures that turn reliable AI models into unreliable agents

September 2, 2026

If we have Snowflake and Databricks, why do we still need master data management?

August 27, 2026

Why fragmented customer data is now a major compliance risk for financial services firms

August 26, 2026

4 reasons banks and insurers cannot scale AI without trusted Customer 360

August 19, 2026

Why good policies are no longer enough to prove compliance

August 11, 2026

Buyers are better informed than ever — but are they making better decisions?

August 10, 2026

Why enterprise AI stalls at scale — and why data is the barrier leaders must solve

August 5, 2026

Introducing the master data management maturity model

August 3, 2026

Digital product passports: The data management mandate

July 31, 2026

How to build data governance that holds up across agent-to-agent AI workflows

July 30, 2026

Why master data management is critical to reliable AI agents

July 27, 2026

Is your data ready for AI agents? 5 tests to find out

July 24, 2026

From zero to launch in under 6 months: A quick guide to deploying master data management

July 23, 2026

5 key trends in product experience management

July 23, 2026

The new rules of competition in agentic commerce

July 22, 2026

Why the data standard that powers your reports will let your AI agents down

July 21, 2026

The 5 data standards that determine whether your AI agents succeed or fail

July 20, 2026

Why most AI initiatives fail before the model ever runs

July 20, 2026

Solving retail data fragmentation: The key to consistent customer journeys

July 20, 2026

What’s next for GenAI in product experiences?

July 20, 2026

Is your PIM strategy future-ready? 3 takeaways from the SPARK Matrix™ report

July 19, 2026

CDP and MDM: Complementary forces for enhancing the customer experience

July 17, 2026

Reyes Holdings' MDM journey to better data

July 17, 2026

PIM explained: How product information management transforms data quality

July 16, 2026

Why trust is the real bottleneck in agentic commerce

July 16, 2026

How to avoid bad retail customer data

July 16, 2026

10 dangerous myths about managing your B2B partner and account data

July 16, 2026

Master data management tools: A complete guide

July 15, 2026

How agentic workflows are changing master data management at the core

July 14, 2026

How to implement master data management: Steps and challenges

July 13, 2026

How Signet Jewelers built trust in its retail data

July 13, 2026

A modern guide to data quality monitoring: Best practices

July 13, 2026

Guide: Get enterprise data enrichment right with master data governance

July 10, 2026

Guide: How to comply with industry standards using master data governance

July 9, 2026

How to evaluate MDM vendors in a market full of acquisitions

July 9, 2026

Guide: Improving your data quality with master data governance

July 9, 2026

How operations leaders are modernizing manufacturing data without halting production

July 9, 2026

Guide: Getting enterprise data modelling right with master data governance

July 9, 2026

How URBN leverages data management to support its sustainability information 

July 8, 2026

Why agentic AI demands a digital twin of the business

July 8, 2026

AAPEX and SEMA: The automotive aftermarket industry’s mega-showcase

July 7, 2026

Trust the machine: Making AI automation reliable in master data management

July 7, 2026

Is your data the cause of flawed AI outputs?

July 7, 2026

Risks of using LLMs in your business – what does OWASP have to say?

July 6, 2026

Navigating change: Engaging business users in successful change management

July 6, 2026

Consumers are using AI-powered tools to shop smarter: Why retail data trust matters more than ever

July 6, 2026

Building Supply Chain Resilience: Strategies & Examples

July 4, 2026

Gen Z: Seeking excitement beyond Amazon

July 3, 2026

How CPG company Bonduelle centralized product data across 37 countries

July 2, 2026

AI adoption: A high-stakes gamble for business leaders

July 2, 2026

Why data accuracy matters for CPG brands

July 1, 2026

Building the future of construction with AI and MDM

July 1, 2026

Why choose a cloud-based data solution: On-premise vs. cloud

June 19, 2026

AI systems want clean data – but they NEED governed intelligence

June 17, 2026

Bosch and Stibo Systems partner for enterprise data transformation

June 17, 2026

With semantic master data, your AI stops guessing and starts understanding what you want

June 17, 2026

5 hidden costs of bad customer data in retail (and how to avoid them)

June 12, 2026

The complete PIM features guide: The capabilities you need for successful data strategies

June 12, 2026

5 product data problems that make your brand invisible in AI search

June 11, 2026

4 common master data management implementation styles

June 11, 2026

Designing trust in agentic enterprise systems

June 8, 2026

AI and master data: The business powerhouse

June 8, 2026

Master data meets Microsoft Fabric: Building a trusted foundation for AI and analytics

June 4, 2026

7 signs your brand is losing ground in agentic commerce

June 1, 2026

The future of master data management: Trends in 2026

June 1, 2026

What is a data domain? Meaning and examples

May 28, 2026

8 best practices for customer master data management

May 27, 2026

Data migration to SAP S/4HANA ERP: The fast and safe approach with MDM

May 25, 2026

Model context protocol (MCP): The missing layer for AI systems that interact with enterprise data

May 21, 2026

Better together: CRM and customer master data management

May 21, 2026

4 supplier onboarding taxes that drain margin every day – and how agentic AI fixes them

May 20, 2026

The 7 types of customer data your AI agents can't ever act without

May 19, 2026

What is master data governance – and why do you need it?

May 18, 2026

The difference between master data and metadata

May 13, 2026

Product attribution strategies that convert searchers into buyers

May 12, 2026

How to choose the right master data management solution

May 12, 2026

PIM and MDM: Key differences, benefits and how they work together

May 12, 2026

5 CPG industry trends and opportunities for 2026

May 11, 2026

A quick guide to golden customer records and how to create them with master data management

May 11, 2026

What is master data management? A complete guide

May 11, 2026

Master data management roles and responsibilities

May 8, 2026

What is application data management and how does it differ from MDM?

April 30, 2026

6 features of an effective master data management solution

April 22, 2026

What is the difference between CPG and FMCG?

April 17, 2026

Most common ISO standards in the manufacturing industry

March 18, 2026

A complete master data management glossary

February 24, 2026

BIC's blueprint for conquering complex global product data challenges

February 17, 2026

Product 360 after the Salesforce acquisition: Why you need to map out a plan B

February 16, 2026

What is digital asset management?

January 13, 2026

Discover the value of your data: Master data management KPIs and metrics

January 12, 2026

5 key manufacturing challenges in 2026

December 9, 2025

Product listing page best practices: How to create better product listings with PIM

December 8, 2025

The board of directors’ guide to selecting product experience software (with checklist)

December 5, 2025

5 PIM trends that will define 2026 and the near future (and how to prepare for them)

December 4, 2025

Process insurance claims faster with trusted data

December 3, 2025

Fixing fragmented customer account data: Stop losing revenue and trust

December 2, 2025

How master data management keeps manufacturers compliant — from design to delivery

November 20, 2025

What is manufacturing-as-a-service (MaaS)?

November 18, 2025

AI in retail: How to make your data ready to use in Microsoft Fabric

November 17, 2025

What is party data? All you need to know about party data management

October 27, 2025

How to estimate ROI of master data management

October 20, 2025

Managing product complexity: Leveraging custom product management with BOM-level precision

October 2, 2025

How CPG brands scale D2C business without breaking what already works

September 24, 2025

How leading brands built trusted data with Amplifi and Stibo Systems

August 19, 2025

10 signs you need a master data management platform

August 14, 2025

How to get started with master data management: 5 steps to consider

August 13, 2025

The 5 biggest retail trends in 2026

August 12, 2025

What vendor data is and why it matters to manufacturers

August 5, 2025

What is reference data and reference data management?

August 3, 2025

3 reasons high-quality supplier data can benefit any organization

August 1, 2025

How to improve back-end systems using master data management

July 9, 2025

How to get more value from your data: The benefits of master data management

May 12, 2025

Manufacturing trends and insights in 2026

March 17, 2025

What is smart manufacturing and why does it matter?

March 7, 2025

MDM and AI: Real-world use cases and learnings from OfficeMax and Motion Industries

February 3, 2025

4 trends in the automotive industry

January 29, 2025

How to choose the right data quality tool?

January 27, 2025

All you need to know about supplier information management

January 27, 2025

How Kramp optimizes internal efficiency with data strategy

January 27, 2025

From patchwork to precision: Moving beyond outdated and layered ERP systems

January 24, 2025

Thriving beyond NRF 2025 with trustworthy product data

January 17, 2025

Why addressing data complexity in pharmaceutical manufacturing is critical

January 14, 2025

An introductory guide to supplier compliance

December 17, 2024

How to implement data governance

December 9, 2024

What is supply chain analytics and why it's important

December 5, 2024

What is supplier lifecycle management?

December 3, 2024

Using machine learning and MDM CBAM for sustainability compliance

October 22, 2024

Live shopping: How to leverage product information for maximum impact

September 23, 2024

How master data management can enhance your ERP solution

September 3, 2024

How to improve your data management

August 30, 2024

Digital transformation in the CPG industry

August 27, 2024

Responsible AI relies on data governance

August 19, 2024

Making master data accessible: What is data as a service (DaaS)?

August 13, 2024

Great data minds: The unsung heros behind effective data management

August 6, 2024

A data monetization strategy – get more value from your master data

July 31, 2024

What is augmented data management? (ADM)

July 17, 2024

GDPR data governance and data protection – a match made in heaven?

April 11, 2024

Guide: Deliver flawless rich content experiences with master data governance

March 25, 2024

How to get rid of customer duplicates

March 18, 2024

5 tips for driving a centralized data management strategy

February 20, 2024

How to enable a single source of truth with master data management

February 12, 2024

What is data quality and why it's important

February 7, 2024

Data governance trends 2026

February 6, 2024

What is data compliance? An introductory guide

January 18, 2024

How to build a master data management strategy

January 16, 2024

The best data governance tools you need to know about

November 29, 2023

Shedding light on climate accountability and traceability in retail

November 13, 2023

Location analytics – all you need to know

October 16, 2023

Understanding the role of a chief data officer

October 5, 2023

5 common reasons why manufacturers fail at digital transformation

September 29, 2023

How to digitally transform a restaurant chain

September 14, 2023

3 benefits of moving to headless commerce and the role of a modern PIM

July 6, 2023

12 steps to a successful omnichannel and unified commerce

June 28, 2023

Navigating the current challenges of supply chain management

April 6, 2023

Product data management during mergers and acquisitions

March 1, 2023

Asset data governance is central for asset management

February 14, 2023

How to leverage Internet of Things with master data management

February 13, 2023

Sustainability in retail needs governed data

January 4, 2023

Innovation in retail

November 21, 2022

Life cycle assessment scoring for food products

November 14, 2022

Retail of the future

November 7, 2022

Omnichannel strategies for retail

November 5, 2022

Hyper-personalized customer experiences need multidomain MDM

October 25, 2022

What is omnichannel retailing and what is the role of data management?

October 1, 2022

An introductory guide: What is data intelligence?

September 15, 2022

Revolutionizing manufacturing: 5 must-have SaaS systems for success

August 25, 2022

Digital transformation in the manufacturing industry

August 17, 2022

Master data management framework: Get set for success

June 15, 2022

Supplier self-service: Everything you need to know

June 14, 2022

Omnichannel vs. multichannel: What’s the difference?

June 10, 2022

Create a culture of data transparency – begin with a solid foundation

May 31, 2022

What is location intelligence?

May 30, 2022

Omnichannel customer experience: The ultimate guide

May 24, 2022

Omnichannel commerce: Creating a seamless shopping experience

May 11, 2022

Top 4 data management trends in the insurance industry

May 1, 2022

What is supply chain visibility and why it's important

April 21, 2022

The ultimate guide to data transparency

April 20, 2022

How manufacturers can shift to product as a service offerings

April 16, 2022

How to check your enterprise data foundation

April 14, 2022

An introductory guide to manufacturing compliance

March 31, 2022

Multidomain MDM vs. multiple domain MDM

March 23, 2022

How to build a successful data governance strategy

March 22, 2022

What is unified commerce? Key advantages and best practices

March 17, 2022

6 best practices for data governance

March 16, 2022

5 advantages of a master data management system

February 24, 2022

Supply chain challenges in the CPG industry

February 14, 2022

Top 5 most common data quality issues

February 10, 2022

What is synthetic data and why it needs master data management

February 8, 2022

What is cloud master data management?

January 28, 2022

Build vs. buy master data management software

January 27, 2022

Why is data governance important?

January 24, 2022

5 reasons your data governance initiative could fail

January 21, 2022

How to turn your data silos Into zones of insight

January 16, 2022

How to improve supplier experience management

January 16, 2022

How to improve supplier onboarding

Let’s get started

Ready to see how trustworthy intelligence turns data into confident decisions? Let’s chat.

2