+1 218-302-1460
grow@buyerforesight.com
BuyerForesight
  • Home
  • Services
    • Event-led Growth
    • Ecosystem-led Growth
    • Prospect Intelligence
  • Solutions
    • Auracle
    • Auracle Spark
    • Auracle Accelerator
    • Podcast Central
    • Auracle Custom
  • Resources
    • Reports
    • Blog
    • Our Customers
    • Playbooks
    • Webinars & Videos
  • About
    • Community
    • Common Sense Events
    • Meet The Team
    • Careers
  • Contact

Common Sense Data & Analytics Conferences 2022 Report

CSDA-home-section-1
CSDA-home-section-2
CSDA home section
I learned a lot from it and I think the format was really conducive to bringing people closer together and interacting.”
– Director of Digital Platforms, NEOM

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
Data & Analytics Conferences 2022 Report
Data & Analytics Conferences 2022 Report
Data & Analytics Conferences 2022 Report
Data & Analytics Conferences 2022 Report
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.”
– Chief Data Officer, MENAT

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:

1
Average scheduled 1:1 meetings completed for each sponsor
1%
of the 1:1 meetings resulted in post-event sales opportunities
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

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

Acceldata
Quest
Sisu data
Dremio
Google Cloud
Inspira
AnswerRocket
dotData
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.”

– AVP – Digital Transformation Business at Inspira

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.

Profile Breakdowns

Seniority
  • C-Level / Managing Director – 15%
  • Director / VP – 51%
  • Heads – 28%
  • Managers – 6%
Job Function
  • AI Products and strategy – 9%
  • Data Governance – 4%
  • Data Science and Analytics – 55%
  • Digital Business and CX – 5%
  • Digital Transformation – 4%
  • IT Ops and Strategy – 21%
  • Platform Architect – 2%
Industry
  • Banking / Financial Services – 34%
  • Retail – 13%
  • Healthcare & Wellness – 11%
  • Telecom – 7%
  • Life Sciences – 5%
  • Media & Entertainment – 5%
  • Insurance – 4%
  • F&B / Travel & Hospitality – 4%
  • Oil, Gas, Mining – 4%
  • Government / Education – 3%
  • Automotive / Transportation & Logistics – 3%
  • CPG – 2%
  • Consumer Electronics / Services – 2%
  • Conglomerate – 1%
Customer Experience & Data Analytics APAC 2022 Conference Report
Data & Analytics Insight Day DC 2023 Report
SERVICES
Event-Led Growth
Ecosystem-Led Growth
Prospect Intelligence
RESOURCES
Reports
Blog
Our Customers
Playbooks
Webinars/Videos
ABOUT
BuyerForesight Community
Common Sense Events
Meet the Team
Careers
CONTACT
Email us
Reach out to us
Follow Us

© 2024 BuyerForesight ™
All Rights Reserved.

ISO 9001 and ISO 27001 Certified

Terms of Use and Privacy Policy

Point of Collection Notice

Do Not Sell My Personal Information

CCPA

PoSH Policy