Analytically Speaking
Conversations with thought leaders
We’ve invited the foremost analytic experts to talk to us about cutting-edge concepts and practical applications. You’ll leave each conversation inspired to enhance your analytics framework and empowered to influence the spread of analytic excellence across your organization.
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Why We All Need Data Science SkillsTechnology engineer David Kriesel says every team needs a few people who have a clue about data science.
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W.L. Gore: Using Statistics as a Competitive AdvantageGlobal Head of Statistics Maria Lanzerath works with scientists and engineers to ensure that statistics is embedded throughout the manufacturing process.
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Innovation in the Chemical Industry With Statistics and DOEKevin White shares how his team at Eastman uses cutting-edge methods to improve products and inform decisions.
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Bridging Statistics and Chemical Engineering for Biotech and PharmaJulia O'Neill on accelerating the availability of critical new medicines and modernizing drug manufacturing.
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Operational Excellence in Pharmaceutical ManufacturingPer Vase of pharmaceutical engineering company NNE provides a scientific approach to process optimization.
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Quality Assurance in the Golden Age of AnalyticsRon Kenett, Chairman of the KPA Group, discusses the role of statisticians in implementing comprehensive quality assurance methods in an increasingly automated, complex industrial environment.
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A Case for Sophisticated Data Analytics in Process-Enabling IndustriesStan Higgins, former CEO of the North East of England Process Industries Cluster, discusses the Industry 4.0 movement and how analytics can help companies demonstrate value capture.
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Using Bayesian Methods in Business and MarketingTechnology, operations and marketing professor on improving marketing models and analyzing customer data.
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Statistical Engineering: A Holistic Problem-Solving ApproachThe author of Statistical Thinking calls problem solving a strategic imperative and describes the value of statistical engineering.
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Applying Quality Engineering Principles to Create Innovative ProductsOLEDWorks Director of Quality and Reliability Engineering explains why statistics is the key to product R&D.
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Analytical Thinking and Problem Solving: The Mindset for SuccessGreg Nelson, CEO of ThotWave, describes the practical considerations and real-world competencies your organization needs to do analytics well.
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How P&G Saved Millions and Improved Quality With AnalyticsFormer P&G engineer talks about using technical expertise and analytics to save hundreds of millions of dollars.
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Unlocking the Value of Text AnalyticsLeading industry analyst talks about the business applications and benefits of text analytics.
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Using Data to Align With Your Life PurposeVictor Strecher, author of Life on Purpose, gives scientific reasons for living a big life.
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How Do You Build a Great Analytic Culture?Jon Weisz and Lou Valente of SAS on how to empower people to make data-driven decisions.
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How Do You Build a Great Analytic Culture?Jon Weisz and Lou Valente of SAS on how to empower people to make data-driven decisions.
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Applied Statistics From the Classroom to the BoardroomProfessor emeritus from the University of Alabama discusses his career teaching and applying statistics.
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Accessible Analytics for MarketingProfessor from Drexel University on her career helping businesses and students understand marketing and consumer data.
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Prolific Author on Split-Plot and Optimal DOE Shares InsightsPeter Goos, a top contributor to the field of design of experiments, on his research and its applications.
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Data Access and the Future of StatisticsUlrich Rendtel of Freie Universität Berlin discusses his experiences with the census and academia.
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What Every Engineering Manager Wants You to KnowProblem Solving for New Engineers author Melisa Buie talks about the critical concepts needed to solve problems.
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How Industrial Statistics Has (and Hasn’t) ChangedSTATCON CEO says the expectation has changed, but the work hasn’t.
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The Science of LuckThe Luck Factor author Richard Wiseman shares research on why some people live charmed lives.
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To Explain or Predict? That Is the QuestionGalit Shmueli discusses the tensions between explaining and predicting.
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How to Gain Insights With Text ExplorationHeath Rushing explains text exploration and why you should be doing it.
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What Does It Take to Be a Successful Statistician?Experienced statistical consultant shares career experiences and ideas for expanding your statistical repertoire.
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The Power of Crowdsourcing Data Science IdeasRuss Wolfinger on the complex problems analysts are solving through data science competitions.
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How to Add Structure to Your Decision MakingLos Alamos National Lab scientist shares research on objectively considering tradeoffs.
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Want to Make More Effective Graphs?Data visualization expert Xan Gregg talks about the elements of good graphs.
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Bringing Science to the MassesCreator of YouTube’s MinutePhysics talks about communicating complex scientific concepts.
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Helping Domain Experts Understand Their DataAdvice from statistician Jason Brinkley on working across disciplines.
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The Elements of Sophisticated Reliability AnalysisDavid Trindade of Bloom Energy makes big process improvements with reliability and DOE.
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Become an Analytics Advocate at Your OrganizationFounder of P&G’s modeling and simulation group discusses the value of prediction and the rocket science of everyday products.
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Analytics Lessons From BaseballHouston Astros Director of Decision Sciences shares lessons on data exploration and analytics from the world of baseball.
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Hear From Design of Experiments Thought LeadersDennis K.J. Lin and Bradley Jones are known for their considerable contributions to design of experiments.
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Use Data Exploration for a Competitive AdvantageAuthor Phil Simon on why we should promote an exploratory mindset.
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Solutions to Data Preparation ChallengesSAS co-founder John Sall talks about ways to make data prep and analysis easier.
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Know the Market Research Tools of the TradeFounder of Data Analytics Corp. on the powerful, dynamic tools you can use to extract customer insights.
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Preparing Students to Be Successful Data AnalystsProfessor from a top European business school on how he helps students work effectively with data.
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What It Takes to Be an Effective Industrial StatisticianHear from award-winning reliability expert William Q. Meeker.
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The Key to Good GraphsHoward Wainer on telling better stories with data.
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Don’t Waste Good Analysis on the Wrong ProblemAuthors of Data Mining Techniques discuss the changing world of data analysis.
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Why Don’t More Businesses Experiment?Dan Ariely, author of Predictably Irrational, on using experiments to make better decisions.
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The Applied Statistics GapDavid Meintrup shares best practices from the perspectives of both academia and industry.
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Why Rare Events Happen Every DayDavid Hand, author of The Improbability Principle, discusses statistics and the laws behind chance moments.
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Want to Innovate? The One Question You Must AskMIT Research Fellow Michael Schrage gives new ideas for creating value at work.
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Why Customer Satisfaction Is Not EnoughRob Reul on how to listen and respond to the voice of the customer.
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Make Statistical Thinking Your Strategy for Solving ProblemsRoger Hoerl and Ron Snee explain how statistics can provide a strategic perspective for process improvement.
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Predictive Analytics Theory for Real Business ProblemsBart Baesens, author of Credit Risk Management, on his research in predictive analytics and customer relationship management.
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Using Predictive Analytics to Spot Patterns and Uncover SolutionsNoted author and applied statistician Dick De Veaux calls predictive analytics mission-critical for making business decisions.
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Traditional and New Quality Techniques for Process ImprovementBrenda Ramírez and José G. Ramírez on ways to gain new insights about processes, products and services.
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Helping Students Understand the Power of StatisticsStatistics professors Bob Stine and Peter Bloomfield on the connection between statistics and the real world.
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How to Succeed in Data Mining and Predictive AnalyticsDean Abbott talks about ways to get started applying statistics to your work.