Hi Everyone,
We hope you are all ready to tackle H2. To support you in your efforts we have again collected all current and upcoming marketing activities in Europe in this month’s edition of the Marketing Newsletter. Please use it to promote the numerous seminars, webinars, JMP Days and Users Group Meetings.
Best,
Carla (Explorer seminars (in-person and streamed), Explorer videos and Sponsored conferences)
Nina (Social Media)
Julie (Partnerships and prospecting webinars)
Elias (Customer care - JMP days, Mastering JMP webinars, Users groups and Discovery)
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PROSPECTING EVENTS
Explorers seminars
The 2 following Explorer seminars are co-promoted by Medicon Valley Alliance.
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
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
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:
LinkedIn Article: https://www.linkedin.com/pulse/case-study-linking-product-demands-process-through-qbd-nina-chan/
3rd Party Events:
4-6 June: ENBIS Spring Meeting (Florence, Italy)
Volker and Phil will be presenting and be present with a booth.
Title: Complex design requirements in the food industry – cases and implementations using JMP®.
Authors: Bart De Ketelaere, Wannes Akkermans, Volker Kraft, Peter Goos
Presents on: June 5th, between 14:15 and 15:00
Abstract: New product development in the food industry often is a highly complex setting that might involve batch-to-batch variation, in addition to mixture variables, process variables and observable but uncontrollable factors. Designing experiments with such a complexity requires a tailored and flexible approach that is offered by so-called optimal designs. During this joint presentation, we will show typical examples from the food industry to set the scene. Next, we will show the possibilities offered by JMP® to produce such optimal designs. Finally, we will elaborate on a practical case from a food company that wishes to optimize a new product. The envisaged experiment involves a constrained mixture of 7 components in addition to 6 covariates measuring properties of the batches used. After presenting a plausible model for this case, we will create an optimal design using the unique features of JMP® and analyse results obtained from it.
Title: Definitive Augmentation of Definitive Screening Designs
Authors: Phil Kay
Presents on: June 5th, between 15:00 and 15:25
Abstract: Definitive screening designs (DSDs) uniquely address the key needs of many experimenters. How else can we explain the rapid and enthusiastic adoption of DSDs since their discovery was published in 2011? For many experimenters, 13- or 17-run DSDs for five to seven factors are go-to designs when screening for the few driving factors. Along with design-based model selection, you potentially have a simple, efficient and effective experimental workflow to find the important main effects, interactions and curvilinear behaviors of these factors. If only three of the factors are active, you can fit the full second-order RSM model and achieve screening and optimization in one step. But what if more than three factors are active? When ambiguity occurs is there a simple next step? Or does the complexity of this situation become a barrier to adoption of DSDs? In this presentation, you will see simple ways to augment these DSDs, ensuring that the structure and properties can be preserved to maintain the benefits of DSDs. Consequently, more people in more situations can benefit from the workflow of sequential DOE and DSDs.
Social Media: #ENBIS
12 June: ACHEMA (Frankfurt, Germany)
Bernd and Phil are presenting 2 different talks on June 12. No Booth.
Bernd Heinen: 11:10, The Straight Way to a Result: Mixture Designs of Experiments
https://dechema.converia.de/frontend/index.php?page_id=4043&v=AuthorList&do=17&entity_id=67528
Room: H4.C - Consens
Phil Kay, 12:30 Why your engineers and scientists are best-placed to realise the value from your data and how they can achieve this with a flexible problem-solving approach and visual data exploration
https://dechema.converia.de/frontend/index.php?page_id=4043&v=AuthorList&do=17&entity_id=60630
Room: CMF - Illusion 3
Alliance Association webinars
June 19: IChemE featuring Stan Higgins
Explorers webinars
June 7: Get new process optimisation right the first time with DOE - NEW
This case study will examine the challenges faced by a company wanting to bring to market a new product that was proving difficult to scale to production volumes. The company had a large number of inputs that might affect yield, production rate and by-products and therefore could not see a way forward to commercialisation. We will show how they were able to define an efficient experimentation plan that delivered the insight needed to successfully scale-up to production capacity. The findings were at odds with simple kinetic theory which also led to a better understanding of the reaction mechanism. This finding also resulted in a change to the screening strategy for product discovery. Not only did the project help commercialise a new product faster, it also improved the discovery rate of future products, thereby accelerating innovation.
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.
You will learn how to:
- Find relationships from prior data consisting of many noisy variables.
- Utilise the resulting model to answer your questions.
- Drive improvement opportunities and decisions from statistical models.
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
6 June: Merck, Martillac, France
SF: https://na79.salesforce.com/7011O000002871i
12 June: Ablynx, Ghent, Belgium
SF: https://na79.salesforce.com/7011O000002Ddj5
14 June: Philips, Ulm, Germany
SF: https://na79.salesforce.com/7011O00000286xo
25 June: Roche, Penzberg, Germany
SF: https://na79.salesforce.com/7011O0000028722
26 June: DOW, Schkopau, Germany
SF: https://na79.salesforce.com/7011O00000286vg
26 June: Dynex, Lincolnshire, UK
SF: https://na79.salesforce.com/7011O00000286Ni
Users Group Meetings
14 June: Ireland Users Group Meeting, Analog Devices, Limerick, Ireland
Agenda/ Registration link: https://www.jmp.com/en_gb/events/seminars/user-group/ir-user-group-14jun2018.html
SF: https://na79.salesforce.com/7011O000002Or5J
5 July: UK Users Group Meeting, Abbott, Witney, UK
Agenda/ Registration link: https://www.jmp.com/en_gb/events/seminars/user-group/uk-user-group-05jul2018.html
SF: https://na79.salesforce.com/7011O000002Oqq8
Mastering JMP Webinars
WHAT'S Social
Application area of the Month: Predictive Analytics and Quality by Design
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
QBD Event:
LinkedIn Article: https://www.linkedin.com/pulse/case-study-linking-product-demands-process-through-qbd-nina-chan/
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
