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Building a Culture of Analytic Excellence

Feb

6

Copenhagen

Medicon Valley Alliance

Arne Jacobsens Allé 15, 2300 København, Denmark

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Do you have a strategy for building analytic excellence in your organization? 

Your competitors do. Organizations that take an enterprise approach to analytics outperform their competition. By making analytics the cornerstone of problem solving and decision making in every facet of business, you’ll generate more insights, accelerate innovation and create value.  

Maybe you work in an industry characterized by speed and precision, but just a few groups in your organization are comfortable with analytics methods. Or maybe you collaborate with a team that doesn’t know the value of data-driven decision making – yet. How do you influence your organization to adopt an analytical mindset? 

Join us for a day of disussions on how to inspire a shared vision of analytics use at your organization and the practical considerations for making a data-driven culture a reality.    

Learning objectives 

  • Encouraging your colleagues to gain the confidence and skills to apply statistical methods. 
  • Fostering multi-disciplinary collaboration among those who know data analytics and those with domain expertise. 
  • Determining the best tools to explore, analyze and share data effectively.

Julia O'Neill

Founder & Principal Consultant, Direxa Consulting


Julia O’Neill led CMC Modeling & Statistics as a Distinguished Fellow at Moderna as a member of the Technical Development Leadership Team. She is a Fellow of the American Society for Quality and recipient of the 2023 Gerald J. Hahn Q&P Achievement Award. Since 2005 she has consulted to support the approval of multiple accelerated products, including gene therapy, microbiome and regenerative medicine.

O’Neill worked at Merck (MSD) as Senior Scientific Fellow of Statistics in Regulatory & Analytical Sciences and Director of Global Technical Operations, with a primary focus on vaccines and biologics. Her experience includes development of specifications; stability analysis; development, qualification and validation of analytical methods; process development and qualification; control strategy authoring; design and implementation of Continued Process Verification programs; and expert design of experiments support for a wide range of development programs in vaccines, biologics, gene therapies, small molecules, and other products derived from biological materials. She is a Six Sigma Master Black Belt who built and directed multiple teams which have successfully resolved complex investigations, driven sustained improvements, and represented solutions to regulators. Her mentoring has provided encouragement for five colleagues to complete graduate degrees in statistics.

She has over 30 years of experience bridging statistics and chemical engineering in the pharmaceutical and chemical industries. Her education synthesizes statistics and engineering, with an MS in statistics from the University of Wisconsin and a BS in chemical engineering from the University of Maine. 

Alfredo López Navarro

Data Lab Manager, Telefónica Omnichannel, Germany


Alfred López Navarro leads a best-in-class Pricing Analytics and Insight Framework at Telefónica Germany. His expertise comes from valuable experiences as strategy analyst and modeler at Telefónica and Microsoft.

Navarro combines his strong marketing and analysis skills with a passion for technology and strategy. He enjoys playing with data – in a business-oriented way – and helping others to do so. His goal is to explore data from multiple sources and shift through all incoming data to discover hidden insights and turn them into competitive advantages that improve business decisions and sustain the operational and financial efficiency of an organization. He then recommends ways to apply those findings across Telefónica’s decision-making structure. His role includes: 

  • Strengthening links between statistics, forecasting and decision-making processes with scientific marketing.

  • Innovating through JAM Sessions with JMP out-of-the box ideas and business insights generation. 

  • Developing an AGILE methodology (tools and process automation) to streamline business insights, using visualization and statistics to understand both market and competition.

  • Building “the ecosystem” through strategic partnerships and culture development. 

  • Making recommendations for both tactical and strategic plans.

  • Managing ad hoc data analysis requests to drive performance. Ensuring quality control data, its accuracy and managing timeline delivery of data. 

  • Presenting, sharing and, above all, evangelizing.

Søren Pehrson 

Manufacturing Scientist, Haldor Topsøe A/S


Søren Pehrson is a chemical engineer and Six Sigma Black Belt with 20 years of experience up-scaling chemical manufacturing unit operations. As the lead production engineer, Pehrson runs Six Sigma optimization projects in running production (DMAIC) and Design for Six Sigma development (DCDOV). He is also responsible for training colleagues in statistical methods and Six Sigma methodology. Previously, Pehrson worked at Novo Nordisk and the Royal Danish Navy. His expertise includes R&D, process optimization, chemistry, process engineering and materials science. 

Malcolm Moore

Technical Manager, JMP Europe


Malcolm Moore, JMP European Technical Manager, is a statistical consultant who works with clients to integrate statistical methods and software into R&D, quality improvement, defect reduction, cycle time reduction, and corporate Six Sigma programs for a variety of industries, including pharmaceutical, healthcare, manufacturing, banking, insurance and service companies. Prior to joining SAS UK he worked at Light Pharma, BBN, Astra Zeneca and lectured in medical statistics at Newcastle University. He is an expert in design of experiments, and received his PhD in design of non-linear experiments at London University.

Agenda

9:00-10:00 Coffee & Queries: Informal time to chat with JMP experts    
10:00-11:00 Panel Discussion
11:00-11:15 Networking Break
11:15-12:00 Presentation
12:00-13:30 Lunch
13:30-14:30 Coffee & Queries: Informal time to chat with JMP experts