How to Master Business Domain Autonomy in Data Management
Join Agile Lab and Dairdux on Thursday, March 21st, for a half day workshop at the City Life konferens och möten in Stockholm. We’ll explore how industrialized, automated data management practices align with business domain goals, customized to address your company’s specific needs. Lunch, coffee and Network After Clinic mingle included.
How to Master Business Domain Autonomy in Data Management
Join Agile Lab and Dairdux on Thursday, March 21st, for a half day workshop at the City Life konferens och möten in Stockholm. We’ll explore how industrialized, automated data management practices align with business domain goals, customized to address your company’s specific needs. Lunch, coffee and Network After Clinic mingle included.
Who should join this clinic?
The clinic is relevant for
- Individuals that champions or owns the topics of domain, value stream, or product data management.
- Individuals from the platform team that champions enablement of domain teams, value stream teams, and product teams.
Ideally, both the domain data management champions and the platform enablement champions from a participating organisation join this clinic together
Clinic learning goals:
Gain a deeper, peer reviewed, understanding for world class/ industrialized data management embedded in domains, products, and business.
Learn about the issues you will encounter on your journey and discuss them with peers ahead on the curve.
Learn about strategies to proactively identify and communicate data management issues in terms of value or waste that can be addressed.
Clinic Agenda
Time
Name
Duration
Topic
12:15
Registration, networking & lunch
45 min
13:00
Introduction & agenda
30 min
Introducing the particpants, the topic and how the clinic will work
13:30
How Booking.com and ABN AMRO Solved Domain Related Data Governance Challenges
60 min
- Top 5 challenges a domain and a platform team encounter.
- Strategies to effectively address these challenges and meet their respective needs.
- Audience reflections and Q&A.
14:30
Coffee break
15 min
14:45
Roundtable discussion
100 min
- Discussing pain points and strategies to address them.
- Wrap up – Discuss effective communication with non-expert stakeholders on data needs.
- Demonstration of how an effective platform-domain synergy can lead to great results.
- Final remarks.
16:30
Network drinks
120 min
Drinks and light foods available from 16:30
Clinic agenda
Duration: 45 min
Duration: 30 min
Introducing the particpants, the topic and how the clinic will work.
Duration: 60 min
- Top 5 challenges a domain and a platform team encounter.
- Strategies to effectively address these challenges and meet their respective needs.
- Audience reflections and Q&A.
Duration: 15 min
Duration: 100 min
- Discussing pain points and strategies to address them.
- Wrap up – Discuss effective communication with non-expert stakeholders on data needs.
- Demonstration of how an effective platform-domain synergy can lead to great results.
- Final remarks.
Duration: 120 min
Drinks and light foods available from 16:30
Deep dive
Who facilitates this clinic?
The Clinic is facilitated by peers and experts that has been exposed to and addressed Industrialised Domain Data Management.
Henrik has since 2012 built and led Data- and Analytics-intensive teams embedded in core Lines of Business (LoB). First in different leadership positions in Vattenfall and then as an interim manager in the LoB Scania Financial Services. As a founder and CEO of Dairdux his focus is to accelerate adoption of Data and AI in Data/AI-intensive core business settings (often in decentralised organisations with a proud analog history) — supporting Platform teams and Domain teams towards federative approaches to reach cost-effective Data/AI Adoption that capitalises on platform investments at high velocity.
Agile Lab is one of the pioneers of the Data Mesh paradigm based on their experience in the implementation of Distributed Architecture, organisation, and engineering patterns on a global scale originating, in 2016 for a global energy utility company. Paolo, as CTO, has been the brain and shaper of the actual patterns down to the code and engineering experience level.
Mahmoud Yassin is a skilled data professional who has made a significant impact in the data industry across three continents. Mahmoud’s expertise in data engineering, architecture and leadership has allowed him to work across multiple industries including banking, telecommunications, education, e-commerce, traveling and consultancy. Recognizing the importance of having an end-to-end view of data, he expanded his knowledge to include Business Intelligence (BI) and big data architecture. Today, Mahmoud is a Senior Data Manager at Booking.com, where he leads teams in adopting cutting-edge data management best practices and utilizing public cloud data architecture.
With over 30 years of experience leading technology initiatives, I champion harnessing the potential of data for value. Throughout my career, data management has consistently guided my approach, yielding positive outcomes. Notably, I spent 25 years at a leading financial institution in the Netherlands, with diverse leadership roles in technology, information security, and data management. In the last decade, I served as Chief Data Officer and Chief Architect, driving the creation of a comprehensive data management practice. This initiative significantly enhanced data quality, accessibility, and governance, enabling confident and efficient data-driven decisions, paving the way for a data-ready future. Eager to connect with those recognizing the pivotal role of data governance for success in the AI-powered future.
Deep dive
Who facilitates this clinic?
The Clinic is facilitated by peers and experts that has been exposed to and addressed Industrialised Domain Data Management.
Henrik has since 2012 built and led Data- and Analytics-intensive teams embedded in core Lines of Business (LoB). First in different leadership positions in Vattenfall and then as an interim manager in the LoB Scania Financial Services. As a founder and CEO of Dairdux his focus is to accelerate adoption of Data and AI in Data/AI-intensive core business settings (often in decentralised organisations with a proud analog history) — supporting Platform teams and Domain teams towards federative approaches to reach cost-effective Data/AI Adoption that capitalises on platform investments at high velocity.
Agile Lab is one of the pioneers of the Data Mesh paradigm based on their experience in the implementation of Distributed Architecture, organisation, and engineering patterns on a global scale originating, in 2016 for a global energy utility company. Paolo, as CTO, has been the brain and shaper of the actual patterns down to the code and engineering experience level.
Mahmoud Yassin is a skilled data professional who has made a significant impact in the data industry across three continents. Mahmoud’s expertise in data engineering, architecture and leadership has allowed him to work across multiple industries including banking, telecommunications, education, e-commerce, traveling and consultancy. Recognizing the importance of having an end-to-end view of data, he expanded his knowledge to include Business Intelligence (BI) and big data architecture. Today, Mahmoud is a Senior Data Manager at Booking.com, where he leads teams in adopting cutting-edge data management best practices and utilizing public cloud data architecture.
With over 30 years of experience leading technology initiatives, I champion harnessing the potential of data for value. Throughout my career, data management has consistently guided my approach, yielding positive outcomes. Notably, I spent 25 years at a leading financial institution in the Netherlands, with diverse leadership roles in technology, information security, and data management. In the last decade, I served as Chief Data Officer and Chief Architect, driving the creation of a comprehensive data management practice. This initiative significantly enhanced data quality, accessibility, and governance, enabling confident and efficient data-driven decisions, paving the way for a data-ready future. Eager to connect with those recognizing the pivotal role of data governance for success in the AI-powered future.
Deep dive
How the clinic sessions work
Ambassadors and facilitators do a session of data management problem discovery based on real world experience. Framed by discussing and mapping issues with the Domain Data Value Canvas.
- Problems and needs discovery discussion.
- The panel shares strategies how to effectively address these challenges and meet different stakeholder needs in their domain.
- Audience reflections and Q&A.
Delegate Team Exercise to discuss, decompose and sequence typical data management issues in a Value Stream guided by The Domain Data Value Canvas and facilitated by the panelists from session 1.
- Work in teams to discuss and identify current problems and needs and strategies to adress identified issues.
- Peer review and improvement. The delegates share their results among the Clinic teams and get feedback and suggestions form their peers.
- Wrap up discussion – How do we best communicate with and educate our business domain stakeholders on OUR LoB/Domain data management needs when they are not close to data management themselves?
Deep dive
How the clinic sessions work
Ambassadors and facilitators do a session of data management problem discovery based on real world experience. Framed by discussing and mapping issues with the Domain Data Value Canvas.
- Problems and needs discovery discussion.
- The panel shares strategies how to effectively address these challenges and meet different stakeholder needs in their domain.
- Audience reflections and Q&A.
Delegate Team Exercise to discuss, decompose and sequence typical data management issues in a Value Stream guided by The Domain Data Value Canvas and facilitated by the panelists from session 1.
- Work in teams to discuss and identify current problems and needs and strategies to adress identified issues.
- Peer review and improvement. The delegates share their results among the Clinic teams and get feedback and suggestions form their peers.
- Wrap up discussion – How do we best communicate with and educate our business domain stakeholders on OUR LoB/Domain data management needs when they are not close to data management themselves?
Why
Why are we hosting a series of peer2peer clinics on different topics of Data & AI Readiness? (For YOU to DAIR)
This is the second in a series of clinics hosted by Dairdux and Agile Lab that focuses on an observed divide in the Data-AI market among organisations.
On the one side we find the Data/Platform natives — hyperscalers and best-in-class enterprises that embraced industrialised data management early on, tackling use cases and data management from a robust software/data engineering perspective using platform technology.
On the other side of the divide we find organisations using the same technology that has not yet embraced the required industrialised practices and organisation that are key to get value and network effects out of the technologies in the modern Data/AI Stack.
What we can observe
It’s not the technology itself that sets organisations apart — it’s their maturity in organising around adoption of tech, data and AI innovations. Particularly, practices and know-how in industrial-grade Data/AI engineering, change management, and governance and steering for making data and AI an integral part of core business that make the difference.
Why
Why are we hosting a series of peer2peer clinics on different topics of Data & AI Readiness? (For YOU to DAIR)
This is the second in a series of clinics hosted by Dairdux and Agile Lab that focuses on an observed divide in the Data-AI market among organisations.
On the one side we find the Data/Platform natives — hyperscalers and best-in-class enterprises that embraced industrialised data management early on, tackling use cases and data management from a robust software/data engineering perspective using platform technology.
On the other side of the divide we find organisations using the same technology that has not yet embraced the required industrialised practices and organisation that are key to get value and network effects out of the technologies in the modern Data/AI Stack.
What we can observe
It’s not the technology itself that sets organisations apart — it’s their maturity in organising around adoption of tech, data and AI innovations. Particularly, practices and know-how in industrial-grade Data/AI engineering, change management, and governance and steering for making data and AI an integral part of core business that make the difference.
Sign up now!
Clinic: How to Master Business Domain Autonomy in Data Management
Date & time: 21st of March, 12:00 – 17:00 + after clinic mingle.
Venue: City Life konferens och möten, Sveavägen 63, Stockholm.
Lunch, coffee and Network After Clinic mingle included.
This event is free to attend. Share with your colleagues if the subject is relevant.