Our mission is to help organizations improve their data analytics maturity. We help them not only define/refine their analytics strategy, but ensure that it is aligned to their business strategy and supported with organizational best practices in people, processes, technology and data to operationalize their strategy.
We have 20+ years in data warehousing, analytics and business performance management. We have helped companies develop their data analytics strategy, build best practices organizations, define business performance and metric frameworks, and create analytic assets that help improve their businesses through increased revenue, decreases expense and improved efficiencies.
Pat has over 20 years experience in data and analytics in consulting, product development and business development. Her experience at leading organizations like Teradata and SAP have allowed her to apply and evolve her pragmatic approach in airlines, banking, consumer products, healthcare, insurance, public sector, and utility industries.
She is a past client advisor for the International Institute for Analytics, co-founded by analytics guru Tom Davenport. She is on the advisory board for Steven Institute of Technology’s Masters Program in Data and Analytics. She mentors insurtech start-ups through the Global Insurance Accelerator program.
Pat is a Chartered Property Casualty Underwriter and past-president of the Society of Insurance Research, an organization for product developers and innovators.
Applied Insurance Analytics: A Framework for Driving More Value from Data Assets, Technologies and Tools, is based on 20+ years of client experience. While written using insurance industry use cases, the framework applies to and has been field tested in multiple industries.
The 5 key areas include: aligning your business, analytics and data strategy; documenting and prioritizing business needs; defining a KPI framework and validating business value; providing the right platform, technology and tools; and building the right organization and governance structure.