Common Sense Data & Analytics Conferences 2022 Report
I learned a lot from it and I think the format was really conducive to bringing people closer together and interacting.”
In 2022, Common Sense Conferences hosted Data & Analytics conferences in Dallas, Dubai, and New York City. Each conference was a great success thanks to the brilliant data leaders who participated by sharing their experiences and learning from their peers. These conversation-driven conferences were specifically designed to create lasting relationships amongst participating industry professionals and with relevant solutions providers.
Top benefits for sponsors:
Each participant is pre-qualified before receiving an invitation
A low-pressure format encourages participants to open up about their challenges
1:1 meetings are guaranteed
Top benefits for participants:
High-value networking opportunities
Thought leadership sessions focused on real-world challenges
Opportunity to meet with providers who can help right now
Conferences like this one are very valuable because you get to meet people and build a relationship so you can get behind the product a bit more, you can find out more than the sales pitch to understand what they do which is very helpful.”
Topics covered
The data lake didn’t kill data warehouses. Will the lakehouse finish the job?
Why you should be recruiting analytics engineers instead of data scientists
Identifying root causes of data quality problems
Is Data platform as a service (dPaaS) right for you?
Evaluating data lineage solutions
Tackling the 3 biggest data governance challenges
Why AI/ML advanced analytics projects fail
Will cloud ecosystems make insight to action a reality in 2023 and beyond?
Choosing the right MLOps solution
Re-thinking data governance in the age of the modern data stack
7-step data quality improvement roadmap
Outcomes from 2022 Common Sense Data & Analytics conferences:
Average scheduled 1:1 meetings completed for each sponsor
0
of the 1:1 meetings resulted in post-event sales opportunities
0%
Sponsors had sales conversations with highly-qualified executive buyers such as:
Chief Data Officer MENAT at HSBC
Chief Officer | Digital & Operations at Ministry of Health Saudi Arabia
Director, Data & MLOps, Inventory Management at Gap
Global Head of Data Protection & Governance at Al Jazeera Media Network
Head of Data Science | Mariner Finance
Group VP – AI, Analytics and Data R&D at Mavenir
Head of Architecture, Data & Technology at AXA
Head of Data Engineering – Supply Chain at Wayfair
VP Business Data Analytics at UMB Bank
VP Head of Enterprise Information at Mutual of America
VP/Head, Enterprise Advanced Analytics Lab at Wells Fargo Bank
VP Transformation and Technology Innovation at Morgan Stanley
SPONSORS
The associates who were here were the decision makers, the key people who are addressing data & analytics challenges in their organization. Each meeting was bidirectional, unlike in other events where mismatches can happen.”
Key Insights
Data & analytics challenges are driven more by corporate culture and policy issues than by tooling.
AI/ML advanced analytics projects fail most often because stakeholders haven’t thought things through sufficiently. Business leaders demanding AI/ML solutions need to invest the time to understand what’s possible and create requirements that have real, enduring value.
Data quality, governance and lineage are all top of mind for data & analytics leaders. What these terms mean, however, varies considerably by industry.