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D360 Resources
The Science of Data
(644KB)
Future Pharma Interview with Wyeth and Tripos
Product Brochure
(3,041KB)
Pfizer Licenses Benchware Discovery 360
(26KB)
Benchware Discovery 360
Bringing data together:
- All the data you need for your workflow delivered with high performance
- D360 can bring any data to the scientist from one or multiple data sources
- Oracle, Web Services, DB2, XML, Excel... and many others)
- Chemical data, biological data, inventory data, PK data, safety data...
- All data quickly & easily accessed through D360 queries & QuickSearch widgets
- Agnostic to chemical sketcher/data cartridge
- Scientists require zero knowledge of data sources and their architecture for query building
Data in the view you want:
- No manual data manipulation required to get quickly to the summarized data view you want
- D360 automatically summarizes & pivots data to generate the data view desired by the scientist
- Users choose how they want to present data according to their workflow (and save those settings)
- Multiple data viewers to allow browsing, analysis, graphical pattern recognition...
- Spreadsheet, Grid, Forms, Graphs & Charts...
With the analysis tools you need:
- Integrated analysis tools mean that excellent data access doesn't just "move the bottleneck"
- D360 analysis tools cover >90% of all research workflows
- Fully interactive and propagated selection between all integrated data viewers
- Integrated D360 analysis tools cover Filter, Sort, Data Formatting, R-Group Analysis, Data Correlation, Data Statistics...
- A couple of clicks to productivity and scientific applications to cover the whole workflow
- PowerPoint, JMP, Excel, Spotfire...
For collaborative research:
- Findings and capabilities can be shared with the team in seconds
- Centralized workspace system means your work is accessible from anywhere
- Useful queries, important datasets and lists are shared with team members through group workspaces
- New search capabilities can be deployed via publication (by anyone) of QuickSearch widgets
With extremely low maintenance needs:
- Regular system maintenance amounts to a few days per year
- Automatic discovery of new data and assays
- Configuration (non-coding) adapts the system to new sources of data and changing research needs and workflows
- IT resources switch from maintenance to adding value to the system through configuration
- Suitable for any size of organization from the smallest biotech to the largest pharma
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