I attended the MIT CDOIQ conference for the first time. It was a great conference and I’m excited to come back next year. The main takeaways I had:?
- Discussions were centered about the social aspect: making sure the CDO is providing direct business value
- Data mesh was a hot topic with presentations showcase real journeys and demystifying, and an audience eager to learn
- Very little to no discussion on technology and “old school” governance, protection, risk.?
- The keynote on day 1 was a discussion between
Matthew Graviss
CDO of Dept of State and
David Spirk
former CDO of Dept of Defense. They highlighted that we need more curiosity and it’s all about a cultural change. It’s not just about reporting numbers but giving a story.?
- What are the worries? Leadership turnover thus the need to re-explain. Also, knowledge transfer because people leave an organization?
- When data people are invited to non-tech meetings is a sign of value and path to success.?
- “Get data talent to where policy is being made” - Matthew Graviss
- “Build your replacement. Make sure they are better than you” David Spirk?
- The CDO panel with
Ajai Sehgal
Mayo Clinic CDAO,
Grace Lee
Scotiabank CDAO,
Craig Brabec
Bestbuy CDAO and
DeWayne Griffin
State Farm CDO was another big highlight, moderated by
Randy Bean
! I shared my takeaways in a previous post
.??
- Honestly it’s surprising that it’s taken so much time for the focus to be about business value instead of technology. My impression is that Data office spun off from IT, where the culture there is technology.?
- It was great to learn about how LSEG is building a data driven culture. Great to meet
Diane E.
and
Terrence Hedin
- “We are never done with data. Just like we are never done with customer satisfaction” brilliant quote from
Simone Steel CITP FBCS
. So glad that by pure luck I sat next to her on the bus and had an awesome conversation.?
- I also gave a talk on how to be agile in a data mesh world. I presented our Data Products ABC framework and also discussed embracing complexity and that friction is OK. And to do this, we need to talk to people. I heard the same theme in other talks and hallway conversations. I saw the first part of
Juan Tello
’s talk, Deloitte CDO, and he was bringing this up too.?
- I’m always in awe to learn from the resilience of 100+ year old companies.
Asif Mahammad Syed
and
Louis DiModugno
from HSB have a detailed talk about their transformation. They call it the Jet Engine value chain: Acquisition, Integration, Distribution, Analytics.?
-
Mohammed Aaser
argued that only 3% of the workforce are in data and we are neglecting the 97%. Inspired by successful athletes, he made the analogy that we should have data athletes, who are the ones that spend time understanding the business and being curious. I heard other folks saying “data athletes” the next day.?
- What is truly a Data Product? If you make the definition too broad, then everything is a data product and it defeats the purpose. This is the critical question that
Marco Vernocchi
EY Global CDO was asking everyone. There is no clear cut consistent answer for what is a data product. That’s fine. We will get there as a community. I’m very happy to have met Marco and enjoy several hallway discussions on this topic. I believe there is a spectrum that needs to be defined. I also believe that our Data Product ABC framework contributes to the answer but the community is hungry for more.?
- The Data Products ABC was well received. I’m surprised that I didn’t receive feedback about characteristics that are missing. Everyone I spoke to agreed with what I presented.?
- Everyone agrees that the individual pillars of data mesh isn’t new: we’ve been doing this for a long time. Formalizing this into a whole is the value.?
- Great to learn about journeys of different companies. Even though there was healthy skepticism in the audience, they were eager to learn. The panel with
Mark Clare
,
Dr. Sebastian Klapdor
,
Nachiket Mehta
was another highlight.
Adrian Estala
was a great moderator.?
- At Vista they define Value Pools. 25 teams have developed 120 data products for 5 domains.?
- Single Threaded Ownership: Understand end to end. I’ve always called this the iron thread.
- Forecast/Estimating/Measuring value is hard and it will be a journey.?
- Create a domain map of your organization, just like a city map.?
- “Don’t build a Minimum viable product. Build a MLP: Minimum Loveable Product'' - Sebastian Klapdor. LOVE THIS!!
- Each team has a Data Product Manager. One team structure is to have a Data Analyst, Domain Expert, Data Engineer, and possibly a data scientist.?
- At Wayfair, they have an Atomic Team: Data product manager, architect, Data engineer, software engineer and UX designer. The data analyst/scientist are optional. 1 domain can have multiple atomic teams.?
- What is the career path to a Data Product Manager? Open question!
This was such an excellent event! I can't wait to go back next year.
Founder & Host of "The Ravit Show" | LinkedIn Top Voice | Startups Advisor | Gartner Ambassador | Evangelist | Data & AI Community Builder | Influencer Marketing B2B | Marketing & Media | (Mumbai/San Francisco)
2 年This is awesome, Juan Sequeda
CDO | CDO Matters Podcast Host | Conference Speaker | Thought Leader
2 年Great summary Juan Sequeda, it was great to meet you and I look forward to collaborating more in the future!
I help you build a winning data strategy that saves you $$$ and empowers your people to do their best work. Search "discovering data" in your podcast app ??????
2 年Brilliant report this is data journalism at its finest! As I was reading this I imagined being there walking along those hallways... thank you for taking the time to write this Juan Sequeda ????
Data Elder | Fractional CDO | Writer of Books | Speaker of Hard Truths | Advisor to Data & AI Teams | Alpha Disrupter | Proud GenXer | Drinker of Coffee | INTJ | Juggler of Motherhood, Wifedom, Entrepreneurship
2 年Thank goodness “old school” governance got no air time. Sounds like a great collection of people and content. Thanks Juan Sequeda
Building open source identity resolution at Zingg.AI
2 年Very enlightening, I could not attend and this is a great way to learn what is on everyone's mind.