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Regulatory Analytics and the Regulatory Information Value Chain

Wednesday, October 2, 2019 11 AM- 12 PM EDT

WEBINAR_Regulatory Analytics and the Regulatory Information Value Chain-1


Topic: Government Analytics

Intended Audience:

Chief Analytics Officers, Chief Data Officers, Chief Risk Officers, Directors of Analytics, Chief Information Officers, Directors of Data Management, Program Managers, Fraud Analyst, Examiner, Enforcement Attorney 

Length: 60 minutes

Regulatory agencies oversee a complex value chain of information flowing between the public and private sectors. First, agencies issue rules and mandates; second, regulated enterprises comply with those rules and report back to the agencies on their compliance; third, agencies must analyze the reported information; and, finally, some of this information is disseminated to the public and markets, which digest it to inform investment and competitive intelligence.

Agencies' analytical tools and methods occupy a central stage in this value chain; they transform document-based reports and raw data submitted by regulated enterprises into actionable insights. These insights affect every other regulatory activity: the conclusions assisted by regulatory analytics inform future mandates, indirectly govern future compliance, and determine what information is disseminated to the markets.

This webinar will survey the analytical tools and methods used by regulatory agencies and explore how regulatory analytics affect the entire value chain of regulatory information.

Participants will learn: 

  • Principal tools and methods used by selected regulatory agencies to analyze information reported to them by regulated enterprises
  • Value and uses of insights drawn from regulatory information via regulatory analytics
  • Impacts of regulatory analytics on the rest of the regulatory information value chain, all the way from mandate creation by agencies to information digestion by markets

About The Hosts

Webinar hosts Robert Han (Elder Research, Director, Washington DC) and Hudson Hollister (HData, Founder and Principal) draw on their years of combined analytical experience in the government sector to highlight how regulatory analytics affect the entire value chain of regulatory information.

Robert-HanRobert Han is a Director at Elder Research overseeing the Washington, D.C. office. Over the past six years at Elder Research, he has led innovative data science teams that have tackled some of the industry's most challenging data science and analytics problems for both federal government and private sector clients. Some examples include designing and deploying cutting edge machine learning models to identify and prioritize highly suspicious actors (financial market players, medical providers, unemployment insurance recipients, workers compensation beneficiaries) for investigators and analysts; applying various text mining techniques to deploy models (both supervised and unsupervised) and solutions that ingest large amounts of documents from unstructured text; and leveraging network analysis and graph modeling techniques to detect highly suspicious social network behaviors and potential collusion within high profile domains such as the opioid crisis and federal tax fraud.

Hudson Hollister-Headshot-1Hudson Hollister founded HData to help data companies build the relationships, strategies, and understanding they need to deploy their technologies to transform business and governance. Hudson is a securities lawyer, former regulator, former Congressional investigator, and trade association executive. He has invested his career in applying technological innovations to make regulation, government, and law work better. Hudson founded the Data Coalition and served as its first executive director. The Data Coalition is the world's largest open data trade association. Its nearly fifty member companies work together to advocate for policy reforms to adopt common data structures across government management and compliance reporting. The Data Coalition has successfully passed multiple data reforms in Congress.

Hudson also founded the Data Foundation, a research nonprofit which works to define an open and standardized future for our society's data. The Data Foundation has published market-leading research in the potential of technology to deliver better government management, create public transparency, and automate compliance tasks. The Foundation also works with government agencies to educate civil servants on how to use government data to solve problems. The Foundation hosts Data Transparency, the largest annual open data conference in the United States. Hudson has written legislation, testified before Congress, and served as a board member and adviser to diverse startup companies and nonprofit organizations. He received the Federal 100 Award in 2015 and 2019.

Register for this webinar