Chris Adamson (CBIP) is a BI and analytics consultant, author, and TDWI’s director of education. Chris works with clients worldwide to establish BI and analytics programs, define and prioritize projects, and develop information architectures. With over 30 years of data management experience in IT, consulting, and high-tech marketing, Chris leads TDWI’s education programs and curriculum development. A recognized expert in the field, his many publications include the top-selling books Star Schema: The Complete Reference and Data Warehouse Design Solutions.

Rich Fox is a 20-year veteran in the analytics industry and is an experienced thought leader, bringing strong business expertise to the strategy, design, and use of analytics, most notably in linking key decisions to high-value outcomes. He has been at the forefront of innovative, yet pragmatic application of data and analytics to solve business problems and was one of the pioneers in developing cascaded KPI frameworks to better manage strategy to execution performance.

Rich is an independent consultant, and also teaches analytics in a master’s program at San Diego State University where he recently co-designed the new Innovation course. He has served as VP of analytics at Qdoba and chief analytics officer at Bike Bandit. He is also a CPA, spent six years with PricewaterhouseCoopers, and has been a CFO.

Rich is the creator of the AICPA’s data-driven leader certificate program which focuses on how a company can execute on their data-driven strategy by implementing a transformational analytics strategy.

Richard Hines is an accomplished data and AI leader with 20+ years of global experience across a number of industries. He specializes in working with teams to establish or re-energize analytics programs and has held senior leadership roles within industry and consulting organizations. Richard is also active in the academic community where he has held data and AI advisory board roles with MIT and McGill University, and has led curriculum development and lectured across Europe, North America, Asia, and Africa.

Dr. Norbert Kremer is a cloud solution architect with extensive hands-on experience designing and building large-scale data warehouse and analytic solutions. Dr. Kremer designs cloud solutions that are secure, reliable and efficient at scale. Particular attention is paid to projecting the cost of proposed solutions during the design phase, thereby ensuring high business value. He is a FinOps Certified Practitioner and FinOps Foundation Community member.

Krish Krishnan is an expert recognized worldwide in the strategy, architecture, and implementation of high-performance big data analytics, data warehousing, analytics, and business intelligence solutions. He is a visionary data warehousing thought leader, ranked as one of the top 20 data warehouse consultants in the world, and a recognized authority on unstructured data, social analytics and big data, text mining, and text analytics. An innovator and solution expert, he is known for his work in high-performance data warehouse architectures and is an acknowledged expert in performance tuning of complex database and data warehouse platforms.

Krishnan writes and speaks extensively for industry-leading conferences, user groups, and trade publications. He has authored three books, four e-books, and more than 395 whitepapers, articles, viewpoints, and case studies in big data, analytics, business intelligence, data warehousing, and data warehouse appliances and architectures. He is currently working on models and platforms concerning block chain and the opioid crisis.

David Langer is a hands-on consultant, trainer, and speaker with a mission to make data analysis skills as commonplace as Excel skills. Dave on Data was founded to achieve this mission by crafting and delivering the best analytics training for all professionals regardless of role.

Dave has held analytics leadership roles at Schedulicity, Data Science Dojo, and Microsoft. He has trained hundreds of BI and analytics professionals in the fundamentals of machine learning and analytics. Dave has been recognized for his effective style of teaching analytics, and his YouTube tutorials have more than 2,000,000 combined views.

Dave holds a bachelor’s degree in economics and a master’s degree in computer science from the University of Washington.

Deanne Larson, Ph.D., is an active data science practitioner and academic. Her research has focused on enterprise data strategy, agile analytics, and data science best practices. She holds Project Management Professional (PMP), Project Management Agile Certified Practitioner (PMI-ACP), Certified Business Intelligence Professional (CBIP), and Six Sigma certifications. Deanne attended AT&T Executive Training at the Harvard Business School focusing on IT leadership, Stanford University focusing on data science, and New York University focusing on business analytics. She has presented at multiple conferences including TDWI, TDWI Europe, PMI, and other academic conferences. She is a faculty member at Purdue Global, has consulted for several Fortune 500 companies, and has authored multiple research articles on data science methodology and best practices.

Evan Levy, CBIP, is a management consultant in enterprise data strategy, data management, analytics, and systems integration. Business is experiencing exponential growth in data volumes, sources, and systems. Evan advises clients on strategies to address business challenges using their existing data and technology assets coupled with new and creative methods and practices. With more than 25 years of experience consulting with clients, Evan leads classes and workshops offering practical, real-world experience to address challenges in a manner that utilizes existing skills coupled with new methods to ensure IT and business success.

Keith McCormick is a highly accomplished professional consultant, mentor, and trainer, having served as keynote and moderator at international conferences focused on analytics practitioners and leadership alike.

Keith has built predictive analytics models since the 1990s utilizing popular industry advanced analytics solutions such as IBM SPSS Statistics, IBM SPSS Modeler, KNIME, and other popular open-source machine learning tools. He’s also authored seven books on the effective use of predictive analytics software and techniques.

He has guided organizations to establish highly effective analytical practices across industries, including the public sector, media, marketing, healthcare, retail, finance, manufacturing, and higher education.

Keith serves as data science principal on the Data Science and AI team at Further, a business services and consulting firm.

Mark Peco (CBIP) is an experienced consultant, educator, manager and analyst. With graduate and undergraduate degrees in engineering from the University of Waterloo, he has led numerous consulting engagements helping clients adapt to fundamental shifts in their business models.

As a leading practitioner of business intelligence and analytics, Mark is a faculty member of TDWI and teaches companies on a global basis how to become data-driven as they implement “intelligent” business solutions. He is CBIP certified at the mastery level and maintains his professional focus at the intersection of business, operations, and technology. Mark has several years of energy industry experience based on a variety of roles in the pipeline, distribution, and production sectors.