Big Data for the Pharmaceutical Industry

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1 White Paper Big Data for the Pharmaceutical Industry Rapid Innovation by Reducing Data Management Overhead

2 About Informatica Digital transformation changes expectations: better service, faster delivery, with less cost. Businesses must transform to stay relevant and data holds the answers. As the world s leader in Enterprise Cloud Data Management, we re prepared to help you intelligently lead in any sector, category or niche. Informatica provides you with the foresight to become more agile, realize new growth opportunities or create new inventions. With 100% focus on everything data, we offer the versatility needed to succeed. We invite you to explore all that Informatica has to offer and unleash the power of data to drive your next intelligent disruption.

3 Table of Contents Big Data s Potential for the Pharmaceutical Industry... 4 Unleashing the Power of Big Data... 5 A Prescription for Next-Generation Pharmaceuticals... 7 Conclusion

4 We have discovered the cure for cancer; we just can t find it. Research and Development Executive, Global Pharmaceutical Company From research records to supply chain monitoring, pharmaceutical firms have been managing vast amounts of data for years. The amount of data under management continues to increase. New innovations and business models have led to an explosive growth in the volume, variety, and complexity of data. Unfortunately, roughly 70 percent of any data project still involves simply managing data integrating, transforming, and cleansing it before any actual analysis can begin. This contributes to inefficiency and waste. As the lead executive for one pharmaceutical company s R&D department has said, We have discovered the cure for cancer; we just can t find it. If pharmaceutical companies cannot reduce data management overhead, they risk drowning in excessive data. Companies that wish to be competitive in a world that is rapidly expanding beyond the pill must implement capabilities to quickly find relevant data to inform new initiatives or power new solutions and business models. Big Data s Potential for the Pharmaceutical Industry If pharmaceutical companies could spend less time preparing data sets for analysis and more time discovering insights that they can turn into business and clinical value, every department will see the following benefits: Identify trial candidates faster based on pre-existing knowledge Conduct virtual trials to build predictive models Develop deeper patient understanding through wearables and smart devices Design and deliver beyond the pill services that increase treatment compliance Uncover new uses for approved medicinal products Optimize the supply chain without threatening supply Gain insights from social media and online groups Demonstrate better outcomes by using real-world evidence Pharmaceutical companies need greater insight into the impact of economic data, weather, and other local and global trends to better project demand, optimize supply, and establish what if scenarios. Additionally, protecting patients and brand equity from the repercussions of product theft and counterfeiting requires them to more closely monitor the supply chain using internal and external data sources. Unleashing the power of big data in the pharmaceutical industry calls for technology that integrates and manages new types and sources of data flexibly, and at scale. In this context, scale has connotations beyond IT systems abilities to ingest and analyze data. Technology is required to help the community of data users find and understand data. That is, data management tasks must scale with the volume and variety of data. Without scalability in data management tasks, pharmaceutical companies will be bound to inefficiencies with direct impacts on their agility, and ability to compete in an increasingly data-centric world. 4

5 Unleashing the Power of Big Data Used efficiently, the pharmaceutical industry s big data assets can contribute to developing and delivering the next generation of successful therapies, while addressing the challenges of compliance and globalization. To achieve this, pharmaceutical companies must ensure all of their data assets are highly accessible to the appropriate communities of knowledge workers: business users, analysts, statisticians and data scientists. Value from big data is not achievable at scale if highly skilled scientists, analysts and statisticians are wasting 70 percent of their days on repetitive data management tasks. Informatica is entirely focused on ensuring our customers can quickly deliver insights and value from their data assets. In the context of pharmaceutical companies, this data agility translates directly into saved lives, and improved lifestyles. Informatica customer AmerisourceBergen has implemented an Enterprise Analytics Platform to rapidly deliver analytical and processing services to business units. This foundation has had widespread impacts, including reducing regulatory compliance risks, reducing inefficiencies in the supply chain, and improving communication with customers. Similarly, Adaptive Biotechnologies uses Informatica for greater visibility into large volumes of data across sources to power faster research in a rapidly moving industry. They have accelerated collaboration, saved hours of work on a daily basis, and recovered revenue. These two companies show what is possible when their community of knowledge workers can rapidly draw insights from data. Informatica removes the complexity of data management so you can unleash the power of big data. Our solutions put data into the hands of knowledge workers faster and improve the collaboration between business and IT by enabling valuable self-service capabilities. With Informatica, the IT department can enable the business community and quickly find, prepare, catalog, master and govern data with reduced support. And because our big data management solutions are fueled by the CLAIRE engine, Informatica s metadata-driven artificial intelligence (AI) technology, researchers and data scientists are guided in their data discovery uncovering relationship insights that matter-- faster. The need to comply with multiple complex regulations and the need to safeguard intellectual property must not be forgotten. Informatica s Intelligent Data Platform includes data integration, discovery, quality, mastering, governance and data privacy and protection capabilities to ensure that fast-paced innovation is compatible with sound data governance and high levels of data security. The modular platform approach to data management has been proven to deliver lower costs and minimize risks. 5

6 Informatica supports all aspects of data management at scale enabling your organization to focus on delivering value by reducing the burden of data management tasks. Ideas & Innovative Science Technical data search and view for IT Rapid, Collaborative Innovation Contextual data search and view for business Medicines and Improved Patient Outcomes R&D: ELN, LIMS, Documents Production & Supply Chain Commercial: ERP, CRM, etc. Patient Data: Trials, Social, Beyond the Pill 3rd Party: Outsourcing & Collaboration Large Volumes of Heterogeneous Data Pharmaceutical companies require technology that can transform, parse, and integrate vast amounts of data generated from multiple sources electronic health records, clinical trial data, smart medical devices and apps, real-world evidence, supply chain data, as well as internal data from LIMS, ELN, ERP and others. The Informatica Intelligent Data Platform manages, replicates, and integrates data at any volume and latency. It also scales in terms of data management capabilities, introducing security, quality, mastering and governance capabilities as and when needed. Informatica technology supplies fast, dependable access to all types of data, from both traditional and emerging sources and at any latency. It is also equally appropriate for small and large projects, scaling in price and capability to enable companies to begin with small, focused projects. Informatica s customers enjoy the ability to easily scale in processing capacity and capability on an as-needed basis. Reaping the Rewards of Cloud Computing Many pharmaceutical companies look to benefit from cloud computing infrastructure and economics. In a migration to cloud, connecting, synchronizing, and relating structured and unstructured data from cloud and on-premises applications and processes can pose a significant barrier. It is difficult to balance the complexity of data distributed so broadly with the necessity to access it when and where it s needed. However, access to and awareness of data on the cloud cannot be ignored when trying to improve the productivity of knowledge communities. 6

7 There s an opportunity for us to have a strategic advantage by bringing together diagnostics and pharma with data management. This triangle is almost impossible for anybody else to copy. Severin Schwan, CEO Roche Informatica redefined cloud data management with best-in-class services for cloud data warehouses and data lakes to boost performance, developer productivity, and connectivity across hybrid and cloud environments. Managing Data Quality and Data Lineage The success of pharmaceutical companies depends on their ability to work with and manage complete, trusted, and timely data sets. Monitoring the quality of data in R&D can directly contribute to faster medicines approval by improving the ability to collect accurate and complete datasets during trials. In the commercial practice, high quality data implies better planning and improved marketing through better understanding of both customers and patients. However, high-data quality scores alone may not be enough to satisfy regulators and respond to queries. The ability to show data lineage that is the complete traceability of data movement and transformation will provide maximum data control for improved compliance and communication with regulators. Informatica provides data cataloging based on machine learning that automatically scans data assets across the enterprise and catalogs them. Coupled with world class data quality, Informatica can provide rapid insight into data assets across the enterprise. This not only includes what data you hold, but how it moves through the organization, and the data quality score of any application or data store. Transforming Data Assets into Insight and Action To create and deliver the right treatments at the right time, for the right patients, at the right cost, the pharmaceutical industry needs to measure and monitor metrics and trends of all data types faster than ever before. Big data provides the necessary foundation for greater insight in less time. Informatica s end-to-end solution helps pharmaceutical companies rapidly discover data using Google-like search. The power of CLAIRE reduces the manual burden of data management tasks ensuring pharmaceutical companies can spend more time delivering insights and taking actions that directly contribute to the bottom line and ultimately better patient outcomes. A Prescription for Next-Generation Pharmaceuticals Senior executives in the pharmaceutical industry increasingly understand the value of data to deliver a competitive advantage, and hence the need to actively manage this valuable asset. Big data gives the pharmaceutical industry an unparalleled opportunity to optimize research and clinical trials, guard against counterfeiting and fraud, improve treatment outcomes, and more accurately target doctors to deliver information that is timely and relevant. Investing in data management will allow the industry to combine real-time and historical information at the speed the business requires. Informatica is the global leader in Enterprise Cloud Data Management. Informatica s Intelligent Data Platform consists of best-in-class technologies that can be used individually or together to ensure that big data assets can be used seamlessly in conjunction with more traditional data assets. 7

8 Integration: Enterprise data integration coordinates all the data managed within the enterprise, including unstructured data, seamlessly supporting service level agreements from real time and streaming integration to batch. Cloud-based technology: Integration platform as a service (ipaas) solution includes processing in cloud engines and out-of-the-box connectivity to cloud databases, data stores, and SaaS applications to help migrate to, and retain control over off-premises data managed in the cloud. Data quality: Design and implement enterprise-wide rules to transform data to controlled vocabularies and common values. Data mastering: Create the context and relationships required as a foundation for all analysis. Data privacy and protection: Identify sensitive data across the landscape, monitor access to this data, and implement data masking policies. AI-assisted cataloging: Powered by CLAIRE, creating and maintaining a catalogue of data becomes a less onerous task and puts data into the hands of knowledge workers faster. Conclusion Pharamceutical companies have been established to improve the health and lives of people, not manage data. However, as the world becomes increasingly digital, mastery of data specifically, the insights this data delivers is an integral part of improved clinical outcomes. Unfortunately, in most companies, many knowledge workers are spending disproportionate amounts of time on data management tasks. By reducing the time and cost overheads of data management, all employees in pharmaceutical companies will be able to increase their productivity on the tasks that matter; tasks that directly contribute to improved patient outcomes. Informatica s solutions are specifically designed to reduce and automate data management tasks. Our broad client base across the pharmaceutical industry inlcudes Sanofi, GSK and Merck among others. These companies have demonstrated that our solutions deliver value in almost every department through improved data visibility with lower data management overhead. By leveraging Informatica s world-class data management capabilities, scientists, researchers and business users have more time to focus their energies on leveraging the ever-growing volumes and variety of data to deliver significant value and competitive advantage to the business. Find out more about Informatica s Intelligent Big Data Solutions. Worldwide Headquarters 2100 Seaport Blvd., Redwood City, CA 94063, USA Phone: , Toll-free in the US: IN09_0818_03510 Copyright Informatica LLC 2018.Informatica, the Informatica logo, Informatica Intelligent Data Platform and the CLAIRE engine are trademarks or registered trademarks of Informatica LLC in the United States and other countries. A current list of Informatica trademarks is available on the web at Other company and product names may be trade names or trademarks of their respective owners. The information in this documentation is subject to change without notice and provided AS IS without warranty of any kind, express or implied.