Improve Cooperation in R&D. Catalyze Drug Repositioning. Optimize Clinical Trials. Respect Information Governance and Security

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1 SINEQUA FOR LIFE SCIENCES DRIVE INNOVATION. ACCELERATE RESEARCH. SHORTEN TIME-TO-MARKET. 6 Ways to Leverage Big Data Search & Content Analytics for a Pharmaceutical Company Improve Cooperation in R&D Catalyze Drug Repositioning Optimize Clinical Trials Agile IT for Dynamic Pharma Companies Respect Information Governance and Security

2 Fast access to relevant, actionable information makes the difference Achieve Sustainable Agility with Sinequa s Search & Analytics Platform The Challenge: To Get Value From High data volumes Very Diverse Data Sources Structured and unstructured data Highly Technical Content All while Respecting Access Security Benefits: Accelerate Research and Time-To-Market Find Networks of Experts on a Specific Subject Find Key Opinion Leaders and R&D Cooperation Partners Push Latest News on a Subject to Subscribers Monitor Publications on Particular Subjects Respect Information Governance and Security How can you become and remain agile when facing enormous volumes of highly diverse and complex data? How can you satisfy requests from a sprawling and spirited research community that perpetually comes up with new ideas to be immediately implemented? With the Sinequa Big Data Search & Analytics platform. It delivers the ability to create Search Based Applications (SBA) in weeks, not months or years. Leading Pharmaceutical companies have used Sinequa to easily deploy and build more than 10 SBA in just a few months. In one instance, the volume of data handled quickly reached over 200 million documents and billions of database records. About 110 million of those documents were processed by a single SBA. Complexity In the world of pharma, the notion of document is pretty complex. It can encompass anything from Lab reports, experimental results, clinical trial reports, scientific publications, patent filings, to even s. These documents originate from both internal and external sources. Volume Documents and data may deal with diseases, genes, drugs, active agents, and Mechanisms of Action (MOA). Apart from documents, there may be structured data, like molecule structures, formulae, SAS data sets from clinical trials, curves, diagrams, and more. The variations are seemingly endless. With the well-known information bases of the trade, plus internal information and databases, it is common for the pharma organization to deal with excessive data volume. Over 500 million documents and billions of database records are not unusual in this specific industry, presenting data volume levels. Create a Semantically Enriched Index for Rapid Retrieval of Relevant Information The Sinequa ES platform indexes all structured and unstructured data sources while creating a semantically enriched index that s optimized for performance and the rapid response to users search queries. It makes the process of connecting multiple data sources fast and seamless with more than 140 connectors ready for use out of the box.

3 Your company and industry-specific dictionaries and ontologies are integrated and used during indexing, putting your specific knowledge under the hood of the Sinequa platform making it an intelligent partner for anyone in search of relevant subject information. The Power of Creating Search Based Applications (SBA) Your imagination is the limit: create an app for any idea. Build a prototype in a week and, if it corresponds to the ideas of the requestors, make an app out of it in just a few weeks. This turn-around time is groundbreaking for most IT teams. But, it s this level of innovation that s necessary to stay agile and proactive in an industry where time-to-market can truly make or break a company. It s a winner takes it all business, and often the second one to bring a drug to the market might not even recover the investment that went into it. How can you be so fast in creating apps? How did our customers create genuine AppStores on top of our platform? Unified information access across the full spectrum of your enterprise s data is the short answer. You can build SBA on one platform that has been optimized for information access. You don t have to know about the diversity of data concerning structure, source and location. All the tools you need to create the SBA and to customize the platform are included. The longer answer is what you get when looking under the hood. Here you willl find highly advanced natural language processing to help you make sense of even the most complex information in scientific publications or clinical trials; artificial intelligence and machine learning from Spark, and of course, statistical analysis of structured data, and above all, combined statistical and linguistic/semantic analysis. The real revolution is that very complex business processes can be delivered through intuitive search-based applications. We now support applications across all business functions. N.B., Project manager at a large Pharma company 6 Ways the Pharma Company can Efficiently Leverage SBAs 1. Quickly Establish a Network of Experts If you need to find a network of experts, e.g. for a drug repositioning project, you will be looking for experts on the related drug, molecules and their Mechanism of Action, medical experts, geneticists, biochemists, etc. You get a dynamically calculated list of people profiles with their respective domains of expertise, as related to your question. The results correspond to an Expert Graph calculated from the footprint experts leave in texts and data. Some Sinequa customers prefer a matrix representation with a line for each person, where columns correspond to related fields of expertise and indicate the person s degree of expertise. You can also link people by their joint appearance in a document, even to the point of requiring that they be mentioned in the same sentence. I can already, after 5 minutes testing, see this is going to revolutionize AstraZeneca Protein Scientist - AstraZeneca R&D

4 2. Find Scientific Partners/CROs Similar to the network of experts within your own company, you can extend your search for experts on R&D topics to external research organizations in order to identify the most promising collaboration partners in a given field. Here too, Sinequa ploughs though massive amounts of data, in particular scientific publications, publicly available trial reports, patent filings, and reports from previous collaboration projects, in order to identify the best available experts and the organizations they belong to. 3. R&D Intelligence Discover knowledge in a particular field. Detect correlations by sentence-level co-occurrence of topics across all your documents. 4. R&D News Alerts Access the latest scientific information of your field with automatic alerts. Discover research trends in your field via this information. This SBA covers about 110 million documents in total: all accessible external data sources, e.g. publications, Embase, Medline, Scopus, clinical trial reports, etc. Internal sources, e.g. SharePoint, Documentum, etc. 5. R&D Search by Chemical Structures You can simply throw a drawing of a molecular structure at the Sinequa platform, by a drag-and-drop of a.mol description file. Sinequa will automatically detect the drugs using this molecule, their scientific and brand names, the diseases treated with these drugs, etc. 6. Optimize Clinical Trials Clinical trials going over many years generate millions of SAS datasets and billions of rows per drug and study. Over time, biostatisticians face tremendous challenges performing their analysis with the right datasets. It is difficult to get a comprehensive list of patients having certain diseases within trials on a drug; ensuring completeness of results is nearly impossible with traditional tools and processes. Sinequa lets you search content with very precise criteria. You can retrieve subjects that have shown certain diseases by specifying exact or fuzzy values on the AELLT variable for instance. You can then filter based on additional criteria like age and you can combine about 900 CDISC variables with the option to add any specific variables you may have. You can also search datasets based on the structure and metadata and search across many drugs and studies, merging current data silos. Transform your growing clinical trials data to a valuable asset that you can search in real time with the highly scalable Sinequa platform.

5 Easily Extend Use from R&D to the Entire Enterprise Once a large corpus of enterprise data has been analyzed and indexed by Sinequa s logical data warehouse, widening the platform from the R&D department to the entire organization can be achieved easily. The hard part has been done and the additional data sources of the enterprise, as well as additional users, do not pose a fundamental challenge. The high performance Sinequa grid architecture can easily absorb the additional data volume and provide the required response times (usually below 2 seconds) to a substantially enlarged user community. One Sinequa Life Science customer was easily able to go from an R&D community of under 10,000 people with their specific applications to an enterprise information portal for about 60,000 people. New Agility Makes IT an Internal Business Partner Along the journey, the R&D IT team gained enormous visibility and recognition. They were able to respond to user requirements with unprecedented speed and change user as well as C-suite perceptions of IT. One CxO stated: I see how this can help make us a $50B company. An IT team s motivation and energy, focused on providing value from the Sinequa for Life Science platform, was clearly seen as contributing to the overriding global objective of the company. This is where IT should be seen at a time where we talk about data driven business models, i.e. about business models and processes that cannot exist without cuttingedge IT.

6 About Sinequa Recognized as a leader in the Gartner 2015 Magic Quadrant for Enterprise Search, Sinequa provides a real-time Big Data Search & Analytics platform for Fortune Global 2000 companies and government agencies. It offers users Unified Information Access to all textual and database data, supported by powerful analytics. Millions of users in the world s largest and most information-intensive organizations, including Airbus, AstraZeneca, Atos, Biogen, Credit Agricole, Mercer, and Siemens, rely on Sinequa to put business-critical information at the fingertips of their employees. Sinequa develops its expertise and its business around the world with a broad network of technology and business partners. New York Paris London Frankfurt & A Global Network of Partners & Resellers Contact: info@sinequa.com