TORONTO, ON--(Marketwired - August 17, 2016) - The webinar will focus on specific pharmaceutical case study examples that illustrate how to drive innovation through an enhanced data strategy. Join industry experts Lisa Graham, CEO and Founder of Alkemy Innovation Inc., and Brian Crandell, Analytics Engineer at Seeq, for a live broadcast on Tuesday, September 13, 2016 at 11am EDT (4pm BST/UK).
Data Rich, Information Poor. As with many industries, pharmaceutical and biopharmaceutical scientists and engineers at the R&D, pilot, and production scales, need a new way to harness the power of the data gathered. These industries need a new way to drive innovation through an enhanced data strategy.
Crucial elements for enabling pharmaceutical process innovation include:
- Understanding the key physical situation or process
- Identifying the right process analytical technology to obtain the required data
- Connecting disparate data sources
- Implementing data analysis and visualization applications that make it easy to analyze and make changes, to improve quality and quantity of medicines
With a streamlined process development vision, including the right data management strategy and analysis applications in place, opportunities abound to dramatically improve the quality of processes and the resulting medicines, including:
- Reduced equipment cycle times and cost-saving predictive maintenance
- Development of game-changing data-driven models relating product quality to key process variables. This includes support for a proactive first principles-based process model development approach, essential for supporting regulatory filings
- Streamlined assessments of new process analytical technologies by rapidly getting insight into one's process
- Automation of repeated analysis tasks and reporting for future reference
- Establishment of a truly collaborative problem solving environment
Developing better processes begins with having a broad process development vision, including a well-defined and well-understood physical situation. Without this vision, there is a slim chance that the right data will be available for analysis. In addition to understanding what data is critical, it is equally important to have the appropriate automation of sampling, electronic storage of data, and connectivity between historians and other data repositories (e.g., SQL databases).
Next, choosing the right data management and visualization components is key. Think about how many times a company has wanted to investigate an important issue, or to be proactive at designing a new process, only to stop because they don't have the data they need? Does the pain of gathering the data, that exists somewhere, warrant the time and attention it takes to pull it together?
Pharma and biopharma plants often possess all the data they need to improve operations within their various data repositories, including historians, databases, etc.. However, creating insight from this information can be difficult, expensive, and time-consuming using traditional data analytics tools. Too much time and effort goes into simply getting the data into a format to be evaluated, usually resulting in frustration and a lack of thorough analysis.
With a facile data strategy, the world looks different. Imagine having the ability to easily search and interact with past and present time-series data in a "google-like" fashion and collaborate in real time. Imagine being able to make business critical decisions with more confidence, simply because a company has the data in hand.
It is important to ensure that one's data management applications provide:
- A strong connection with their data. Historians typically reside near the sensors and equipment. LIMS and other data stores are often spread across their business network. The right software, like Seeq®, makes it easy to connect to everything and view it all in one place.
- Automatic indexing of the sensor names or tags in the historian to make them easy to search and access the related data.
- A comprehensive connection to other data sources for the data points of interest.
- Streamlines future analysis in a way that facilitates collaboration. Work can be stored for reuse or shared with colleagues, either as a way to capture expertise, or in real-time to enable distributed discussions across an organization.
Participants will learn how to:
- Uncover important issues related to bioreactor scale-up, including quick comparisons of key process steps across multiple batches.
- Quickly calculate and compare durations of sensitive growth periods (e.g. during a temperature ramp).
- Rapidly deploy filtration flux calculations and rapid evaluate chromatography curves to easily visualize downstream processing data, right alongside other process data.
For more information about this complimentary event visit: Pharmaceutical Case Studies that Illustrate a Data Strategy for Developing Better Medicines
Xtalks, powered by Honeycomb Worldwide Inc., is a leading provider of educational webinars to the global Life Sciences community. Every year thousands of industry practitioners (from pharmaceutical & biotech companies, private & academic research institutions, healthcare centers, etc.) turn to Xtalks for access to quality content. Xtalks helps Life Science professionals stay current with industry developments, trends and regulations. Xtalks webinars also provide perspectives on key issues from top industry thought leaders and service providers.
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