Please see below and attached upcoming marketing events in Europe. Please use it to promote these seminars, webinars, JMP Days and User Group Meetings.
PROSPECTING EVENTS
Explorers seminars
14 June: Improving Manufacturing Performance with Cutting-Edge Predictive Analytics
This seminar, will be presented in English, and live streamed, from the Copenhagen SAS office.
Our thought leader Cy Wegman, will co-present with Malcolm and cover how to:
- Drive improvement opportunities and decisions from statistical models.
- Reduce hidden factory by making better use of data to identify problems and their causes.
- Find relationships from prior data consisting of many noisy variables.
You can find some good contacts to invite on these Linkedin groups:
ENBIS - European Network for Business and Industrial Statistics,
The Process Engineer, Data Modeling, Big Data|Machine Learning|Predictive Analytics|Data Mining|Prescriptive Analytics|Data Science, Predictive Analytics Network (PAN), DataScience, Big Data, Machine Learning, Statistics, A.I. (English), Club Mathématiques-Entreprises (AMIES), Data Mining Professionals Worldwide, Data Miners, Stat-Math Statistics, JMP Professional Network, Business Analytics - Predictive Analytics - Big Data, Advanced Analytics, Research Methods and Data Science, Machine Learning and Data Science, KDnuggets Machine Learning, Data Science, Data Mining, Big Data, Predictive Modeling News, Analytic Insights, Predictive Analytics, Medicon Valley Alliance Oncology Network, Medicon Valley Life Sciences Professionals
Danish and Swedish clusters
Odense Robotics, Triangle Region Denmark, Medicon Valley Alliance
SF IDs:
Landing pages short URLs:
LinkedIn Article: https://www.linkedin.com/pulse/culture-analytics-pg-how-make-better-decisions-predictive-nina-chan/?published=t
14 June: Improving Product Reliability With Quality By Design
This seminar, will be presented in English, and live streamed, from the Copenhagen SAS office.
Our speakers, Valérie Nedbal and Torben Bygvraa Rasmussen (from NNE) will cover how to:
- Implement QbD principles from discovery through product discontinuation.
- Apply statistics to set specifications and validate measurement systems (assays).
- Utilize risk management tools to identify and prioritize potential critical process parameters.
- Identify critical process parameters and develop a functional relationship between those process parameters and your critical-to-quality attributes (CQAs) using design of experiments (DOE).
- Establish design space.
- Develop a control plan as part of a risk management strategy.
- Ensure the process is in (statistical) control and capable.
You can find some good contacts to invite on these Danish and Swedish websites Medicon Valley Alliance, Dansk Biotech , Sweden Bio, Medicon Village
Linkedin groups: Medicon Valley Alliance Oncology Network, Medicon Valley Life Sciences Professionals, CDISC, Clinical Research Professionals, Life Science Skåne, QbD Forum, Life Science Network Basel, DMB - Data Management Biomedical Association, Oslo Cancer Cluster, Life Science networking Switzerland (Pharma/ Healthcare/ Biotech/ Medtech), Utilisateurs francophones des standards CDISC, Association of Clinical Research Professionals, Clinical Trials in Europe, Middle East, Africa & Asia (EMEAA), CRO and CMO, CRAMS,CDMO (Contract Research/Development/Manufacturing Organizations) Professionals, Alliance for Clinical Research Excellence and Safety (ACRES), Clinical Trials Community, DIA (DrugInfoAssn), CDISC, Clinical Research Professionals, AFCROs - The French Association of CROs, DMB - Data Management Biomedical Association, Quality-by-Design (QbD) and PAT, Clinical Development and Innovation, Quality by Design: Regulatory Chemistry Manufacturing and Control in the Pharma Industry, Quality by "DESIGN" / Process Analytical "TECHNOLOGY" (QbD/PAT)
SF IDs:
Landing pages short URLs:
3rd Party Events:
5 May: Design of Experiments: New Challenges, Marseille (France)
Academic event. Volker will be presenting.
The “When and why?” about definitive screening designs For many good reasons, during recent years Definitive Screening Designs (DSD) have been embraced by many practitioners in industry and academia. In addition to modern design tools implementing DSDs, analysis techniques allow to estimate both main effects and second-order effects. Does it mean that this type of design became a new de-facto standard for designed experiments? One the one hand, you can learn a lot from DSDs at a minimal budget. One the other hand, limitations exist concerning the types of possible factors and the choice of models for data analysis. We demonstrate several design and analysis examples and discuss the limitations and advantages of this approach.
http://mascot-num.blogspot.fr/2018/03/design-of-experiments-new-challenges-30.html
24-25 May: S&DS 2018, Torino (Italy)
Academic event. Volker will be presenting.
Abstract title: Paving the Way into Predictive Modelling for Text and Functional Data
http://www.sds2018.polito.it
Partner Webinars :
May 22 Chemistry World: Data analytics for analytical method development (with Phil Kay)
Join us on 22 May to learn how you can develop better methods faster using the synergy of automated sample preparation, chemometrics and design of experiments (DoE)
Link: https://www.chemistryworld.com/webinars/data-analytics-for-analytical-method-development/3008933.article
SF: tbc
This webcast will also be promoted with the Swiss Chemical Society
May 24 : Farben und Lacke (Geman): Versuchsplanung für Mischungen und Prozesse (with Bernd Heinen)
Bernd Heinen, Systems Engineer für JMP von SAS Institute, präsentiert Ihnen wie Sie moderne Versuchsplanungsverfahren einfach und effizient aufgestellen. Versuchsplanung (engl.: Design of Experiments, DoE) ist ein praktischer und universeller Ansatz zur Analyse eines vielfaktoriellen Gestaltungsraums, und es ist die einzige Vorgehensweise, optimale Kombinationen mit einem planbaren Einsatz von Material und Zeit zu entwickeln.
Explorers webinars
June 7 (May 25 DACH): Get new process optimisation right the first time with DOE - NEW
June 12 : Going beyond anecdotal solutions: Utilising data to find lasting solutions to quality and yield crises - NEW
This case study will examine the challenges faced by a company which had issues with a production line every three or four months. The process cycled between good and bad quality, but operators were unable to identify the root cause of the fluctuations. During a crisis, many solutions were offered, but none worked, and the problem was eventually fixed by purging and scrapping the material in the production plant and restarting. This overhaul resulted in scheduling and supply problems. We will show how the company was able to then take existing process data to uncover what was actually going on. With this new insight, engineers gained the know-how needed to control processes to consistently produce good quality product, eliminating many scrapped batches per year and avoiding reputational damage with customers.
June 21: Predictive Modeling for Smarter Business Decision Making (moved from June 7)
Finding workable solutions - whether in research, development, or manufacturing - from prior data is sometimes difficult due to the complex, noisy, relationships between many variables that are difficult or impossible to spot ‘by eye’. This complimentary online seminar shows how to solve complex technical problems correctly first time, and in less time, by extracting powerful insights from prior data using proven and simple to use statistical modeling methods.
Getting Started with JMP webinars
Look out for more to come on https://www.jmp.com/en_gb/events/getting-started-with-jmp/overview.html (and the respective country pages)
CUSTOMER CARE EVENTS
JMP DAYS
10 May: MedImmune, Cambridge, UK SF: https://na79.salesforce.com/7011O00000285xF
23 May: BASF, (WebEx only), Global
SF: https://na79.salesforce.com/7011O000002DeAV
12 June: Ablynx, Ghent, Belgium
SF: https://na79.salesforce.com/7011O000002Ddj5
Users Group Meetings
15 May: JMP Clinical (& Life Sciences), Roche, Welwyn Garden City, UK
Registration link: https://www.jmp.com/en_gb/events/seminars/user-group/jmp-clinical-user-group-15may2018.html
SF: https://na79.salesforce.com/7011O000002OvVy
14 June: Ireland Users Group Meeting, Analog Devices, Limerick, Ireland
Registration link: https://www.jmp.com/en_gb/events/seminars/user-group/ir-user-group-14jun2018.html
SF: https://na79.salesforce.com/7011O000002Or5J^
Mastering JMP Webinars
WHAT’S SOCIAL
Application area of the Month: Predictive Analytics
Analytically Speaking with Cy Wegman: https://www.jmp.com/en_us/events/ondemand/analytically-speaking/how-p-and-g-saved-millions-and-improved-quality-with-analytics.html
LinkedIn Article: https://www.linkedin.com/pulse/culture-analytics-pg-how-make-better-decisions-predictive-nina-chan/?published=t
Use shortlinks mentioned in the event above to share on your social media outlets and invite customers via Sales Navigator.
Suggestions for LinkedIn and Twitter:
- How to use predictive analytics to make better decisions in product development. #analytics #JMPExplorers
- Join us on June 14 to learn from analytics expert Cy Wegman how to make better decisions
- How Procter & Gamble uses predicative #analytics in their product development. Complimentary seminar on June 14
