In this podcast, Robin discussed how an analytics organization functions in a collaborative culture. He shed some light on preparing a robust framework while working on policy rich setup. This talk is a must for anyone building an analytics organization with a culture-rich or policy rich environment.
0:29 Robin’s journey.
6:02 Challenges in working as a chief data scientist.
9:50 Two breeds of data scientists.
13:38 Introducing data science into large companies.
16:57 Creating a center of excellence with data.
19:52 Challenges in working with a government agency.
22:57 Creating a self-serving system.
26:29 Defining chief data officer, chief analytics officer, chief data scientist.
28:28 Designing an architecture for a rapidly changing company culture.
31:39 Future of analytics and data leaders.
35:47 Art of doing business and science of doing business.
42:26 Perfect data science hire.
45:08 Closing remarks.
Here’s Robin’s bio on his current EPA Role:
– Leading the Data Analytics effort of 15,000+ member agency through providing strategic vision, program development, evangelizing the value of data-driven decision making, bringing a lean-start up approach to the public sector & building advanced data analytics platform capable of real-time/batch analysis.
-Serving as Chief data scientist for the agency, including directing, coordinating, and overseeing the division’s leadership of EPA’s multimedia data analytics, visualization, and predictive analysis work along with related tools, application development, and services.
-Develop and oversee the implementation of Agency policy on integration analysis of environmental data, including multimedia analysis and assessments of environmental quality, status, and trends.
-Develop, market, and implement tactical and strategic plans for the Agency’s data management, advanced data analytics, and predictive analysis work.
-Lead crossfederal, state, tribal, and local government data partnerships as well as information partnerships with other entities.
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