DecisionSite Research Analytics

Business Intelligence Software : TIBCO Spotfire DecisionSite Research Analytics

DecisionSite is a highly visual and intuitive research analytics environment that can be used across many areas of R&D. From early-stage research and throughout the entire development process, DecisionSite research analytics helps scientists and analysts understand all of the data available to them so that the highest quality decisions can be made to ensure the best possible chance for success. DecisionSite’s ability to systematically capture best analytic practices while preserving the opportunity for breakthrough discovery is at the heart of the information advantage that life science researchers are seeking.

In the life sciences segment, companies make huge investments in time and resources to bring new drugs to market - a process that takes an average of 15 years and can cost nearly $800 million. As a result, pharmaceutical and biotechnology companies are using DecisionSite research analytics to predict a new drug's chances for success, both during research and in development, in order to reduce time to market for the best candidates and minimize spending on the poor candidates. DecisionSite research analytics helps scientists increase their productivity, re-purpose data from multiple sources, and apply their knowledge and insight to the discovery process in a unique visual, interactive environment.

DecisionSite research analytics gives researchers the ability to integrate data from genomics, biology and chemistry experiments to understand the complexities of disease and treatment options. By combining lab data with patient demographics and market forecasts, decision makers were able to make choices with far more confidence about which drug candidates to move forward in the development process. Click below for more information about DecisionSite's use in research...

Target Identification: With DecisionSite research analytics, quickly identify the most promising genes, validate these targets by supporting methods such as rtPCR, further understand their biological relevance by incorporating additional information, and apply this information to target disease states.

Genotyping: With DecisionSite research analytics, identify single nucleotide polymorphisms (SNPs) of interest based on experimental data associated with known information from a variety of sources, easily create new methods for handling the latest genotyping technology and implement new statistical routines and visualizations.

Protein Expression: With DecisionSite research analytics, discover proteins with multi-fold changes in expression patterns and cluster the expression profiles to find proteins with similar patterns, correlate interesting findings with corresponding gene expression data.

High Throughput Screening: With DecisionSite research analytics, enhance high throughput screening by quickly identifying systematic bias in instrumentation, and monitoring screening runs to reduce costly assay failure.

Chemistry: With DecisionSite research analytics, improve design of chemical libraries by evaluating all possible parameters interactively, access both chemistry and biology data in a single query and evaluate large datasets to define success criteria for lead compounds.

Source: For more information on business intelligence software, TIBCO Spotfire DecisionSite Research Analytics, check out http://spotfire.tibco.com/solutions/research_analytics/