Meeting the Data Fusion
Challenge for EMI
Discoverant offers a low impact alternative
to the data warehouse
Discoverant offers scientists and engineers access to the data they need on demand without creating a physical data warehouse. It is much less expensive, quicker to install, requires less IT staff involvement and has been validated by a dozen of the world’s leading life sciences companies.
While traditional data warehouses do have their place in manufacturing, they are not sufficient for EMI because users and IT staff still need to worry about adding additional levels of aggregation, ETL processes and dash-boarding that typically increase utility costs and IT staffing. Process improvement initiatives require users to analyze data from all manufacturing related sources, including warehoused data together with the data from PAT instruments and other on-line measurements.
Discoverant can eliminate the need for a physical data warehouse all together by accessing, aggregating and analyzing the data in its existing data stores. Or, it can be used to leverage data that might be stored in a classic data warehouse. Discoverant gets users access to the data they need, including all process-related data types such as replicate, discrete and continuous data. It provides a “virtual data warehouse” that is populated on demand with the data that scientists and engineers need to improve yield, transfer technology and solve problems through better analysis and reporting.
Discoverant provides the following requirements that are missing in traditional data warehouse solutions:
- Data Context – capture all types of data (continuous, discrete, replicate)
- Batch Context – provide the ability to compare batches
- Batch Genealogy – quickly make upstream and downstream comparisons
The result is real-time EMI that enables greater process understanding and predictability, decreased variability, increased yields and supply chain predictability.
Life Science Manufacturers’
Data Challenges Revealed
in Survey
More than 60 percent of companies surveyed reported “moderate” or “significant” variability in their processes despite significant IT investments
Aegis recently conducted a survey with PharmacuticalManufacturing.com of 538 life science professionals to understand current trends associated with collecting and managing manufacturing data.
The survey showed:
- The biggest challenges are the amount of time spent gathering data from multiple sources, followed by analyzing data once it has been gathered.
- More than 24% of large life sciences companies store manufacturing data on paper, resulting in additional challenges with data analysis.
- Large companies have invested more heavily in IT Infrastructure – systems such as LIMS, MES, ERP – yet they still feel they spend too much time collecting data for analysis.
Download Complete Survey Findings >
EMI for Contract Manufacturing
Videos demonstrate effective data aggregation across multiple plant sites
See how EMI can add value to your CMO relationship by helping to keep accurate records and meeting regulatory requirements at multiple locations. Discoverant’s data retrieval and aggregation features allow for automatic SQL generation that puts data in the right context for meaningful analysis.
Two videos share the perspectives of CMOs and sponsors, respectively.
Watch the video:
Collaborating with CMOs (CMO’s Perspective)
Collaborating with CMOs (Sponsor’s Perspective)
