The upcoming 2019 Analytics Solutions Conference will be the premier meeting to learn about how others are using statistical tools (design of experiments (DOE), multivariate analysis (MVA) and process analytical technology (PAT)). Come see how these tools are used to dramatically impact the bottom line.
And registration is now open for the conference! Don’t miss out on early bird registration.
Reason #3 to be there: Sharon Flank’s keynote talk "Field Authentication and Adding Chemistry to Blockchain".
These days, companies need to find effective ways to secure quality and protect against counterfeit products. Whether you are the manufacturer or the end user, using the right product is important.
This complex problem requires an elegant solution. One that is non-destructive, fast, and user friendly. Dr. Flank takes us thru a solution that uses spectroscopy and analytics to identify a products chemical ‘fingerprint’. This can be applied on pharmaceuticals, cosmetics, spare parts, electronics, wine and additive manufacturing, and the talk will include use cases and real-life examples.
Reason #4 to be there: a dinner cruise down the Mississippi. That’s right. Network with your fellow attendees while cruising down the Mississippi river at sunset. Then have dinner and a drink before returning to shore.
Need more reasons to attend? More keynote speakers, more fun networking opportunities, and summer in Minnesota! And to top it off, early bird registration is still open.
Register now to ensure your seat!
General Info: https://www.statease.com/asc-2019
The upcoming 2019 Analytics Solutions Conference is your opportunity to discover how others are using statistical tools (design of experiments (DOE), multivariate analysis (MVA) and process analytical technology (PAT)) to dramatically impact the bottom line.
Reason #1 to be there: Keynote Speaker Dr. Geoff Vining. Jump-start your education by learning about leading-edge methodology with Geoff’s talk on “Solving Complex Problems”.
These days, organizations need solutions for increasingly complex problems that are critical to their operation. Statistical engineering is the discipline dedicated to the art and science of solving these complex problems. These problems almost always are unstructured and typically large, crossing several disciplines. Typically, the data associated with them come from a wide variety of sources and thus usually look like a “mess.” The key is how to provide enough definition, data analysis, and structure to create a reasonable path to a truly sustainable solution.
Statistical engineering provides a structure to determine which statistical and analytic tools/methods are appropriate depending on the circumstances, and it outlines how to create sustainable solutions efficiently and effectively. Ultimately, it is the discipline that helps practitioners determine “the right tool for the right job at the right time, properly applied.”
This talk introduces this new discipline at a high level. It then outlines the important roles that both DOE and data analytics play in the solution of complex problems. In the process it emphasizes the importance of strategy and understanding exactly what the tools can and cannot do.
Reason #2 to be there: Cost. At $495 (with the early bird special rates, in place until April 15), this is a truly inexpensive conference. With the tremendous value to be had in technical content for all audiences entry-level to advanced, and the great price point, this is a no brainer.
Need more reasons to attend? More keynote speakers, fun networking opportunities, and summer in Minnesota!
General Info: https://www.statease.com/asc-2019
So, you formulate products. Yes, you, in the industry of making beverages, chemicals, cosmetics, concrete, food, flavorings, metal alloys, pharmaceuticals, paints, plastics, paper, rubber, and so forth.
You also need to optimize that formulation—quickly. Mixture design of experiments (DOE) to the rescue! “Wait, what?” you ask.
When creating a formulation, you can use mixture DOE to model the blend in the form of a mathematical equation. It also allows you to show the effect each component has on the measured responses, both by itself and in combination with the other components.
This model then leads you to the optimal composition, or “sweet spot”, based on your desired outcome. And mixture design does this fast.
"Yeah, OK," you say. "It's going to take me months to learn how to do that. So, no thanks."
We have software that will do it for you, and a 3-day workshop that shows you how to use it. Not months, 3 days. We get it. You're not a statistician, you don't have the time to learn all the ins and outs of the theory. You just need to get to the information. We'll help you get there.
Ready to know more? Good! Download this white paper that illustrates how mixture design works and how Design-Expert® software will help you.
Ready to know even more? Head over to our Mixture Design workshop webpage and register now. This hands-on workshop will show you how Design-Expert® software can be used to design and analyze mixture experiments. The software provides the power for the generation of optimal designs, as well as sophisticated graphical outputs such as trace plots. You will learn how these methods work and what to look for. No statistical background needed!
If you have any questions regarding the workshop, email us at email@example.com.
Two globally-recognized speakers are committed to keynote the 2019 Analytics Solutions Conference. This premier conference on the applications of industrial analytics, featuring DOE, MVA, and PAT, is being held in Minneapolis, MN June 18-20. The speakers are:
For more information on these talks, head to the ASC 2019 Speakers Page
Would you like to speak? Submit an abstract! All the details can be found on the 2019 Analytics Solutions Conference webpage.
Stat-Ease and Camo Analytics are partnering together to host the premier conference on the practical applications of industrial analytics. Topics feature industrial analytics methods; in particular design of experiments (DOE), multivariate analysis (MVA) and process analytical technology (PAT).
The 2019 Analytics Solutions Conference is the perfect venue to discover how others are using these statistical tools to dramatically impact the bottom line. It's a great place to make connections and get inspired. Industries include, but are not limited to: pharmaceutical, medical device, electronics, food science, oil and gas, chemical processes, and aerospace.
It will be held June 18-20 near the Stat-Ease headquarters in Minneapolis, MN — a great time to visit Minnesota. The conference will include workshops, keynote speakers, and fun evening events.
If you have a success story that can be shared, please submit an abstract by February 15. All the details can be found on the Call for Speakers page.
We hope to see you here this coming year!