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BuyerForesight / Common Sense Conferences Data & Analytics Insight Day DC 2023 Report

Unlike traditional conferences, Common Sense Conferences has a unique approach to the way of conducting their events. I really enjoyed the conversation and interactions from all the participants.”
– Chief Engineer at Raytheon

In April 2023, Common Sense Conferences hosted Data & Analytics Insight Day in Washington, DC.

This conversation-driven conference was specifically designed to create lasting relationships amongst participating industry professionals and with relevant solutions providers. It was made a success thanks to the brilliant data leaders who participated and shared their stories and insights with their peers.

Top benefits for sponsors:
Each participant is pre-qualified at this invitation-only event
We foster a low-pressure environment which encourages participants to open up about their challenges
Minimum of 10 one-to-one meetings guaranteed as part of sponsorship
Top benefits for participants:
High value networking opportunities amongst peers
Thought leadership-driven sessions focused on real-world situations they actually care about
A can’t-miss opportunity to meet with providers who can help right now
Great participants from many different industry sectors. Excellent facilitation, and the conversational format was great. This was much more engaging than listening to a series of panels with no back and forth. Best one of these types of events I have been to in a while.”
– Director, Data & Analytics Center of Excellence, U.S. General Services Administration

Topics covered

  • How Will Generative AI Rewrite the Rules of Your Organization?
  • The Coming Shift to Data as a Service
  • Should You be Recruiting Analytics Engineers Instead of Data Scientists?
  • Identifying Root Causes of Data Quality Problems

Outcomes:

1
one-to-one meetings set for each sponsor
1%
of survey respondents “agreed” or “strongly agreed” that the content of the event was relevant to them and their business
Sponsors had sales conversations with highly-qualified executive buyers such as:

Senior Principal | Amtrak

Director AI and Digital Product Development | Stanley Black & Decker

Director, Data & MLOps, Inventory Management at Gap

VP of Finance Data Science | Discover Financial Services

Head of Data Science | Mariner Finance

Director, Data Management | CAVA

Chief Data Officer | H&M Group

Director Of Engineering | Elevance Health

Senior Director IT Architecture | E*TRADE

Director Data Strategy | U.S. Department of the Treasury

Assistant Director, Advanced Data Analytics | U.S. Government Accountability Office

Principal Data Scientist | U.S. Department of the Army

Director for Analysis | U.S. Space Force

1%
of survey respondents were “satisfied” or “very satisfied” with their overall event experience

SPONSORS

Thank you for organizing this fantastic event. It is a great honor for me to be a panelist and learn from analytics leaders across industries how to identify the root causes of data quality issues and solutions.”

– Director, Innovative Analytics/Data Strategy at Parexel

Well done event, very much enjoyed speaking and meeting other attendees”

– Senior Principal, Amtrak

Key Insights

Data quality, governance and lineage are all top of mind for data & analytics leaders. What these terms mean, however, varies considerably by industry.
Data & analytics challenges are driven more by corporate culture and policy issues than by tooling.
Time to value is one of the most important factors when determining the building or purchase of a data tool.
Use cases for Generative AI are well under way, from the creation of synthetic data to train models, to saving humans hours of work on extensive text analysis. However, there’s a general agreement that in order to scale it appropriately, a regulatory framework needs to be put in place to establish rules and address risk and security.
In order to avoid gaps in data they’re providing, Data as a Service companies are going to have to pivot to a more customer-centric thinking to thrive in an increasingly regulated space.

Profile Breakdowns

Seniority
  • C-Level / Managing Director – 10%
  • VP – 12%
  • Director – 58%
  • Heads – 10%
  • Managers – 10%
Job Function
  • AI Products and strategy – 5%
  • Data Governance – 10%
  • Data Science and Analytics – 49%
  • Digital Transformation – 2.5%
  • IT Ops and Strategy – 22%
  • Platform Architect – 12%
Industry
  • Financial Services – 39%
  • Healthcare / Pharma – 12%
  • Government Admin – 10%
  • Defense – 7%
  • Manufacturing – 7%
  • Information Technology & Services – 5%
  • Retail – 2.5%
  • Publishing – 2.5%
  • Consumer Services – 2.5%
  • Engineering Services – 2.5%
  • Advertising – 2.5%
  • F&B – 2.5%
  • Transportation – 2.5%
  • Real Estate – 2.5%
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