Data Management & Analytics
Government Insights – Fall Edition
Wednesday, November 30th, 2022 | 12pm – 2:40pm ET | Online
Event Overview
Cutting Through Complexity to Deliver Clarity for
Actionable Insights
Another tumultuous year is winding down. Looking ahead to 2023, public sector data professionals can get ahead by finding new processes that better generate, collect, store, and analyze data – particularly as governments continue to integrate digital capabilities
Persistent roadblocks including resource constraints, staffing, and data literacy are slowing the public sector’s ability to better leverage data and impact lives. Moreover, not all data is created equal – nor are the systems that capture and store it.
How can data leaders continue to drive agency and department success in 2023? What initiatives are public sector data professionals spearheading to attract quality talent while accelerating data literacy in current staff? What new tips can public sector data leaders glean from their peers working in an highly regulated industry – i.e. cannabis – as it establishes best practices without federal guidelines on how to do so?
Public Sector Network’s Government Data Insights Fall Edition virtual event will bring together public sector data professionals across all levels of government from across the country to discuss a range of cutting-edge topics in data management and analytics. Join your peers in conversation as we prepare for a successful 2023!
Benefits of Attending
A Look Into Your Inspiring Speakers
Spencer Cummings
Deputy Chief Data Officer
Federal Energy Regulatory Commission
Jake Campbell
Chief Data Officer
County of Santa Barbara
Stephanie Delgado
CEO & Chief Data Officer, DataCents Analytics & Adjunct Professor – Data Science & Impact Measurement, Lynn
University
Nathaniel Inglis Steinfeld
Deputy Cannabis Regulation Oversight Officer (CROO), Research + Data
Illinois Department of Financial and Professional Regulation
David Rak
MDH, Research Manager
Minnesota Office of Medical Cannabis
TJ Sheehy
Director of Analytics & Research
Oregon Liquor Control Commission
Anthony Fisher
Head of Data Analytics, Marijuana Enforcement Division
State of Colorado
Jonathan Ozovek
Chief Transformation Officer – SLED
Iron Bow Technologies
Key Sessions
Driving Policy with Data
We are increasingly hearing that government policies are “data-driven” – but what does that actually mean? Join this presentation to clarify how policy can be driven by data, what steps data leaders can take to promote that paradigm, and how all tiers of government data professionals can lead the charge
Where Data Experts Find Talent
The depths of difficulty in sourcing talent across the public sector is even more acute in specialized disciplines such as data. Public sector leaders are developing innovative ways to cultivate talent pipelines, and data leaders are no exception. Data leaders across the public sector are increasingly finding themselves playing the role of recruiter to help fill those critical skill gaps. Join this discussion to discover how your organization can initiate programs to attract and retain the next generation of public sector data professionals, both from within the data function and by partnering with HR business partners.
Demystifying Data
Data doesn’t have to be scary! By demystifying data for the uninitiated, we can reframe their understanding of data, promote increased data literacy, and build bridges towards improved collaboration.
Lessons Learned in Data Collaboration: Regulating Cannabis across State Lines
Learn how a cohort of public sector cannabis data professionals are collaborating to develop best practices for a new type of government agency. This panel of public sector data professionals will share how they’re establishing and, in some cases, coordinating, data collection, governance, storage, and sharing strategies. This panel will also discuss how public sector cannabis data professionals are preparing for future Federal Government guidelines on cannabis, and what types of data they’re collecting in anticipation.
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