Joe Fuqua
Managing Director
CC Pace
location_on United States
Member since 9 months
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Joe Fuqua
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Joe has over three decades of global experience in designing, deploying, and managing leading-edge technologies to create competitive advantage and enhance business value. He is a decisive, team-focused leader with proven success in “bridging the gap” between IT and Lines of Business, building common understanding, improving relationships, and delivering on commitments.
Joe received his MBA from the Owen Graduate School of Management at Vanderbilt University. In addition, Joe is a scientist, with degrees in Physics and Mathematics from the University of Kentucky, and a data scientist, with certifications from Johns Hopkins University.
Joe served as an early contributor (during the 1980's) in the development of artificial intelligence, having led research in expert systems and neural networks (bi-directional, Hopfield, and back-propagation networks), as well as advancements in multi-sensor integration and predictive modeling using Kalman filtering (now commonly used in auto-navigation applications).
Joe’s industry experience includes Financial Services, Telecommunications, Logistics, Retail and Energy, among others. Specific areas of expertise include analytics & information strategy, neural networks & machine learning, blockchain & smart contracts, collaboration & social learning, engagement/ program management, large-scale turn arounds, product development/marketing, technology strategy, and digital channel strategy.
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Accelerating the Data Driven Business – How Data Science Teams Can Adopt Agile for More Effective Outcomes
45 Mins
Talk
Beginner
Organizations are increasingly relying on sophisticated use of data assets and analytics to drive better decision making and improve business performance. To support this, many companies have established teams of data scientists and analysts whose sole focus is on deriving new and impactful insights on the various internal and external factors that are important to overall health of the business and for growth potential.
As a business function, the practice of data science tends to follow a standard pattern from problem definition, data acquisition, modeling, testing, and final analysis, which lends itself well to applying standard methodologies for structuring the work, managing scope/timing, and ensuring outcomes align with business objectives.
In particular, applying Agile principles within a data science team can provide significant benefits in terms of driving clarity of scope/effort, managing workload and outputs, maintaining alignment with business goals, and creating/leveraging reusable information assets.
We will cover specific topics to help Agile leaders effectively deploy Agile within analytics teams:
- Articulating benefits of Agile for data science efforts and analytics teams
- Applying Agile processes and techniques to analytics projects
- Establishing and managing OKR to drive better outcomes for analytics teams and projects
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