Life Sciences Analytics Software
From patent to patient – faster.
Better, safer products to market. In a lot less time.
Life sciences analytics for capitalizing on big data to foster global collaboration based on accurate clinical research information. Rapid clinical trial insights that let you accelerate promising programs or stop unproductive ones. And streamlined processes that get your products to market faster. SAS® is the de facto standard for clinical trials data analysis and reporting, and electronic submissions to regulatory authorities, such as the FDA. SAS delivers:
- Support for CDISC. Standardize your clinical trials data and validate its adherence.
- Risk-based monitoring. Optimize the scheduling of site visits and oversight by analyzing site and study data. Use advanced analytics to identify potential risks early enough to proactively address them.
- Statistical analysis and reporting. Access and analyze clinical trials data to support clinical development decisions and submissions.
Learn about SAS® Life Sciences Analytics Framework
Learn about our clinical data integration solution
For more than 40 years, SAS has provided clinical trial data management and analysis solutions. We monitor life sciences research trends so we can provide innovative solutions that solve tomorrow's challenges. With SAS, you can promote fast, efficient information sharing, improve the validity and safety of clinical trials, and get better products to market faster. SAS also helps you:
- Provide secure, global access to a centralized clinical knowledge base of consolidated, clean and standardized data from diverse sources.
- Gain clinical insights quickly using core statistical analysis, data preparation, data visualization and advanced analytics – such as data and text mining, forecasting and optimization.
- Easily and seamlessly implement industry standards such as those provided by CDISC, since relevant standards support is built into our core software.
Learn about SAS® Life Sciences Analytics Framework
Learn about our clinical data integration solution
Strategic, more profitable market access. Minus the angst.
Innovative, targeted and more profitable managed market strategies. Optimal price and launch sequences for all the countries where you do business. And data-driven decision making for more successful commercialization. We can help you maximize revenue with proven life sciences solutions for:
- Managed market contracts and rebates. Make analytics-based decisions about proper rebate levels to offer payers in exchange for optimal tier commitments.
- Global pricing and launch sequence. Negotiate the best possible launch price across all markets and countries. Carefully stagger launch times to avoid potential external reference pricing impacts.
Learn about our approach to global launch sequence strategies
Negotiate more effective managed market contracts and rebates. Make the best launch price and sequence decisions. And ensure pricing decisions that will benefit the whole company – not just individual markets or regions. Only SAS offers comprehensive solutions that you can use to:
- Understand a payer’s ability to move market share. Use what-if analyses, predictive modeling and revenue forecasting.
- Predict how different decisions will affect reimbursement, volume and revenue. Use advanced analytic capabilities to quickly run a multitude of scenarios and in-market revenue simulations.
- Distribute compelling launch sequence and pricing insights to decision makers across the globe. Take advantage of powerful, yet easy-to-use data visualization and reporting capabilities.
Learn about our approach to global launch sequence strategies
So much of the value we get from SAS is through data manipulation. SAS can manipulate any kind of data feed into an arrangement that works with all our other data sources.
If IDMP isn't top of mind, it will be. If you're not using SAS, you should be.
New ISO standards mandating the global identification of medicinal products (IDMP) at any point throughout their life cycle is resetting the compliance bar for pharmaceutical manufacturers, suppliers and distributors. EMA has adopted IDMP, with the FDA and PMDA expected to adopt it in the near future. Successful adoption will require the ability to standardize and govern data to IDMP compliance. A simplified process of submitting data to regulators within designated deadlines. And an ongoing master data management plan to update, govern and keep information secure. These core challenges are solved with our IDMP-specific solutions:
- Master data management (MDM). Extract, cleanse and integrate data from multiple sources. Automatically parse and match life sciences terms against controlled vocabularies. And transform enriched data to comply with IDMP standards– all from a single platform with secure audit trails in place.
- IDMP accelerator logic. Accelerate your time to achieve IDMP compliance while reducing resources. A custom IP embedded into our data management solution will quickly address IDMP challenges.
- Text analytics for unstructured data. Go beyond analyzing your legacy text. Extract relevant information from all your unstructured sources such as word documents, web pages, emails, journals and presentations.
Recognized worldwide for industry knowledge and expertise, SAS provides trusted solutions for hundreds of life sciences organizations across more than 70 countries. As you prepare for IDMP compliance, our data management and analytics solutions can help you:
- Centralize and standardize your global databases so that medicinal product information is reliable, accessible and accurate – across any form of documentation or geography.
- Implement a fast, simple and efficient IDMP process of submitting compliant data to regulatory authorities.
- Establish a scalable, flexible MDM strategy that adapts as future compliance needs grow and change.
"With SAS, we're accurately scoring more than 100 million customers in seconds to target our marketing and service efforts," says Prasanna Dhore, Vice President, Global Customer Intelligence at HP. Learn how HP gained insights by text mining unstructured data.
Easy, controlled access to clinical trials data.
Controlled access to patient-level data for valid research purposes. The ability to analyze data from the clinical trials on which regulatory decisions are based. Our clinical trial data transparency solution delivers:
- Secure data access. Grant authorized researchers access to de-identified patient-level clinical trials data through a secure clinical trials data repository.
- Analytics for research. Enable researchers to analyze data using industry-leading analytics.
- Flexible implementation options. Have the flexibility to support a company’s data transparency initiative or to provide shared access to clinical trials data from multiple companies.
Establish a secure clinical trials data repository. Give authorized researchers access to the data and powerful analytics. And rely on a company that life sciences organizations have trusted for more than three decades. As the market leader in clinical trials data transparency initiatives, SAS enables you to:
- Give researchers access to the data they need. A secure clinical trials data repository ensures that authorized researchers have access to specified clinical trials data for their research purposes.
- Empower researchers with embedded analytics. Because industry-leading analytic technologies are embedded into the system, researchers can derive greater insight from clinical trials data.
- Take advantage of more than three decades of industry experience. SAS is globally recognized as the industry leader in business analytics and the de facto standard for clinical trial data analysis and reporting in life sciences. And we bring all that expertise to you.
When it comes to clinical trial data transparency, Charles Hugh-Jones, Chief Medical Officer at Sanofi North America, says, “There’s been huge progress in a very short period of time.” Find out why he describes the industry as being at a tipping point.
Critical evidence and insights from real-world medical sources.
Real-world data from all relevant sources. A vast array of analytic tools for real-world evidence projects. And faster time to the insights you need for pipeline and commercialization decisions. SAS delivers:
- Proven, powerful data management. Easily integrate real-world data from both internal and third-party sources – e.g., clinical, claims and consumer health care data.
- Fast access to real-world evidence. Even nontechnical users can navigate, visualize and explore huge amounts of data quickly with an easy-to-use, point-and-click interface to powerful, in-memory analytics.
- A complete analytical toolset. Choose from a wide range of analytic tools – from easy-to-use data visualization, to statistical programming, to more advanced data mining techniques – infused with cutting-edge, innovative algorithms that can help you extract evidence from real-world data sources to solve even your most complex problems.
Better assess the benefits, risks and cost-effectiveness of treatments based on actual patient outcomes and the total cost of care. Develop better therapies to improve patient care, provide evidence for payers and differentiate your brand in the health care market. And help ensure the best health outcomes and economic value for targeted patient populations. With SAS, you can:
- Easily integrate real-world data from multiple sources and vendors. Spend less time preparing data and more time extracting valuable, real-world insights. Our leading data management capabilities ease the time-consuming process of gathering and preparing real-world data for analysis.
- Go far beyond traditional query and reporting. Visually explore complex data sets of any size quickly and efficiently. Gain insights into key issues like brand strategy, treatment regiments, pricing, reimbursement and formulary access. And create meaningful reports that you can share via mobile devices.
- Build an analytical foundation for real-world evidence. Give programmers, analysts, researchers and statisticians a comprehensive analytical toolset for building programs and models that can extract evidence from real-world data sources for pipeline and commercialization decisions.
So much of the value we get from SAS is through data manipulation. SAS can manipulate any kind of data feed into an arrangement that works with all our other data sources.
