Innovative companies are adopting advanced analytics to take action and match the speed of their business. This is especially true in the world of manufacturing where complicated process driven activities benefit greatly from smarter, faster analytic insights and actions. Collecting and analyzing process data from sophisticated manufacturing processes requires a flexible and agile infrastructure that supports a wide variety of disparate data sources often spanning sensor and machine sources that are combined with instrumentation and testing data, machinery and production data, customer and market data, supply chain information, 3rd party benchmarks and a wide assortment of system data.
In the case of Pharmaceutical manufacturing systems can include laboratory information management systems (LIMS), manufacturing execution systems (MES),enterprise resource planning systems (ERP), supervisory control and data acquisition systems (SCADA) and last and perhaps most difficult to manage and integrate; paper documentation. Bringing this data together in an action oriented manner requires accurate planning and solid project management principles.
Sanofi Genzyme the 3rd largest pharmaceutical company in the world is embracing this challenge and utilizes the following criteria when planning process driven analytic projects.
Genzyme has built an agile architecture named APEX to bring data together to support advanced analytics. APEX is designed to bridge decentralized, heterogeneous data sources and provide a centralized, secure and validated data layer for analytics. Genzyme recognized early on that they needed to leverage real-time data as well as process oriented data in order to get the analytic insights they desired, APEX accommodates these functions through the use of a traditional data warehouse working in tandem with a process oriented data store. Genzyme also took into account how important data lineage, integrity and validation are to their compliance initiatives and maintains strict control over all data sources throughout the analytic process.
The framework that Genzyme has developed creates value across the company as it supports a repeatable and scalable environment designed to meet the evolving needs of their manufacturing processes. In the end, the following themes are crucial to the success of this and future projects.
For more details on process driven analytics for manufacturing and the Genzyme story, watch this webcast: "Business Analytics in Regulated Manufacturing".
<p>Shawn, We are starting to see analytics as the hub that can bring together all the systems you mentioned and more. This will be an interesting phase of automated analytics crossing manufacturing, supply chain, marketing and finance. Best, John Thompson</p>