Data Rich, Information Poor. Choosing the appropriate data management and visualization components are important. How many times have you wanted to investigate a key issue, or proactively design a new process, only to be stopped in your tracks because you don’t have the data you need? Do you often decide that the pain and effort of gathering the data, that you know exists somewhere, isn’t worth the time it takes to pull it together?
With the invent of high-speed, high-throughput data acquisition capabilities of recent years, there is a need for high-speed data analytics and visualization. Analytics tools are the most efficient way to get the most value out of the data that is being produced every day. With the proper tools in hand, your data can become one of your greatest assets.
Yet, most processing is still done in user-specific spreadsheets with time-consuming, manual inputs and calculations. Further, when challenges arise, it becomes necessary to couple reams of disparate data sources, often in multiple iterations, to better understand the complex reactor, bioreactor, or purification dynamics.
It is not uncommon for a technical team to need to leverage significant historical data within very tight product development timelines. Therapies need to be quickly transitioned from a proof-of-concept phase to a scale and quality suitable for commercial production, where the company must also demonstrate full knowledge of both the process and the final product quality metrics. With that knowledge, the company can achieve a successful launch, ensure patient safety, and meet regulatory requirements. Data is a tremendous asset that should be captured and made readily available for analysis, which is imperative for:
- Regulatory agency inquiries
- Product filings
- Patent efforts
- Team productivity, including eliminating repeat analysis and experimentation
- Tech transfer activities to manufacturing partners, and
- Ultimately shortening development timelines
In this webinar, we will focus on specific pharmaceutical case study examples, with a focus on the Seeq software application. Seeq simplifies the extraction of insights and value from data historians and other data sources. Specifically, it allows the scientist or engineer to quickly access and search the data, add context, cleanse, model, find patterns, establish boundaries, monitor assets, and allow collaboration in real time. Our expert speakers will discuss how you can leverage data analytics strategies to achieve:
- Development of data-driven models relating product quality to key process variables
- Reduced equipment cycle times with a cost-saving predictive maintenance approach
- Automation of repeated analysis tasks with an eye towards streamlined reporting, and
- Establishment of a truly collaborative problem-solving environment
Scientists in pharmaceutical production must be able to thrive in a challenging business environment defined by operational challenges, regulations, market shifts, and competition. Join us for a chance to learn about data analytics strategies that enable you to redefine your business.
Lisa J. Graham, Ph.D., P.E., CEO and Founder, Alkemy Innovation Inc.
Dr. Lisa Graham is a registered professional chemical engineer with 20 years technical and business experience focused on pharmaceuticals, life sciences and specialty chemicals. She has a strong business background developed through COO, SVP, and CEO leadership positions, including development of new business divisions to support company diversification strategies. Technical strengths include: Chemical engineering expertise, applied mathematics/process model development, product development expertise, process analytical technology applications, and guiding application development for enabling streamlined data analysis and visualization of results.
Lisa holds a B.S. degree and Ph.D. degree in Chemical Engineering from Oregon State University. She is the author of 12 scientific papers and 21 professional presentations, with 2 patents pending. She is also actively involved in supporting higher education and specific STEM* education initiatives. (*STEM: Science, Technology, Engineering, Math)
Brian Crandall, Analytics Engineer, Seeq
Brian Crandall has 16 years experience in process automation, in a variety of roles, each with an emphasis in biotech and Pharma. As a project engineer, he architected batch control strategies for several large-scale commercial production facilities. During his software engineering role, he developed applications to analyze batch programs and historical process data. As a product marketing manager he focused on data integration between the control system and business platforms to improve manufacturing efficiency. His current passion is providing data analytics to accelerate production and empower operators, engineers, and data scientists.
Brian holds a M.S. degree in Software Engineering from the University of Texas and a B.S. degree in Engineering from the Colorado School of Mines. He currently lives in Austin, TX.
Who Should Attend?
Senior level professionals from biopharmaceutical and pharmaceutical companies including:
- Principal Engineers / Research Engineers / Automation Engineers
- Principal Scientists / Research Scientists
- Pilot Plant Directors
- Heads of Manufacturing
- Research Fellows
Seeq® is a venture-backed software company with headquarters in Seattle, Washington. The company is founded on the premise that process manufacturing companies need better solutions for deriving business insight from Industrial Process Data. The Seeq Decision Support Environment (DSE), which features an HTML-based client application and server-based platform, is the first modern application designed specifically for accelerating insight into time series data
Seeq® has a successful and accomplished executive team which brings over 100 years of experience and expertise in process manufacturing, mission critical systems, and software development from OSIsoft, Microsoft, Boeing, and Honeywell. The founders and board of directors have extensive experience with successful start-up ventures in high-growth environments.
Alkemy Innovation Inc.
Alkemy Innovation Inc. is an engineering company providing technical and business support for data-driven pharmaceutical process development. The company is founded on the premise that companies need better science-based technology solutions that provide specific technical direction and guidance from their extensive data. Alkemy Innovation also partners with software companies like Seeq® who want to tailor their hardware and software solutions to the scientists and engineers who run the R&D, pilot, and manufacturing scale processes in pharmaceuticals and biopharmaceuticals.
Alkemy Innovation has an accomplished founder who is a registered professional chemical engineer over 20 years technical and business experience focused on pharmaceuticals, life sciences and specialty chemicals. She has a strong business background developed through Senior Research Engineer, COO, SVP, and CEO leadership positions. The company brings scientific expertise from numerous scientific papers, professional presentations, and extensive intellectual property development efforts to the pharmaceutical industry.
PharmaCompass is the one-stop, pharmaceutical information platform developed for professionals to make your strategic business decisions. It’s your free-access, integrated global database with detailed regulatory information on products and companies. The PharmaCompass’ team directly connects buyers to the right contacts at the suppliers without getting involved in commercial transactions.
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