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Pharmaceutical companies are under increasing pressure to stand out from the crowd in an industry facing pricing pressures, promotional saturation, regulatory scrutiny, reduced product differentiation and increased customer and channel complexity. The healthcare market faces the dual paradox of being awash in data but often lacking in insight. Some of these companies are finding the means to pull ahead of the pack through leveraging analytics in broader and dramatically more effective ways. They are creating the organisational capability to develop and execute against differentiated insights. AsteRx was dealing with large data volumes, comprising millions of scripts from a national sample of hundreds of physicians to be analysed in a myriad of ways that would take weeks to manipulate for a single result. Customers were provided with raw research data, usually in Access or CSV format, making it difficult from which to draw insight. Furthermore, data contained lots of hierarchies, continually changing data frequency with varying levels of data aggregation. Multiple data sources also needed to be integrated with different formats, languages and data structures.

Gwent Police, a force in South Wales, United Kingdom, was facing several challenges. The existing performance management system was incapable of providing information for internal stakeholders. The force needed a system that could provide crime mapping and support intelligence-led policing. The previous system was paper-based and took a whole day to compile monthly staff performance reports. Information was dispersed under different applications in the force’s Command and Control system. The force was also keen to identify the availability of appropriately trained staff and highlight where there were shortages.

Allina Health, a not-for-profit healthcare system, is dedicated to the prevention and treatment of illness and enhancing the health of individuals, families, and communities throughout Minnesota and western Wisconsin. The organization has a comprehensive electronic medical record (EMR) system, Epic, which plays a key role in its success. However, Allina Health is also part of the Center for Medicare & Medicaid (CMS) Innovation’s Pioneer Accountable Care Organization (ACO) model, which requires a strong information infrastructure to manage and visualize the enormous amount of data that will eventually be reported to the government. The goal of this infrastructure is to bring all medical and patient information together, enabling Allina to evaluate its performance, identify areas for improvement, and discover ways for clinicians and care teams to deliver better care to patients.

Microsoft Azure is a Cloud Computing platform and infrastructure created by Microsoft for building, deploying, and managing applications and services through a global network of Microsoft-managed data centers. It provides both PaaS and IaaS services and supports many different programming languages, tools and frameworks, including both Microsoft-specific and third-party software and systems. Azure was announced in October 2008 and released on 1 February 2010 as Windows Azure, before being renamed to Microsoft Azure on 25 March 2014.

C3 IoT provides a full-stack IoT development platform (PaaS) that enables the rapid design, development, and deployment of even the largest-scale big data / IoT applications that leverage telemetry, elastic Cloud Computing, analytics, and Machine Learning to apply the power of predictive analytics to any business value chain. C3 IoT also provides a family of turn-key SaaS IoT applications including Predictive Maintenance, fraud detection, sensor network health, supply chain optimization, investment planning, and customer engagement. Customers can use pre-built C3 IoT applications, adapt those applications using the platform’s toolset, or build custom applications using C3 IoT’s Platform as a Service.Year founded: 2009

Tableau is an excellent data visualization and business intelligence tool used for reporting and analyzing vast volumes of data. It is an American company that started in 2003—in June 2019, Salesforce acquired Tableau. It helps users create different charts, graphs, maps, dashboards, and stories for visualizing and analyzing data, to help in making business decisions.

Watson is a question answering computer system capable of answering questions posed in natural language, developed in IBM's DeepQA project by a research team led by principal investigator David Ferrucci. Watson was named after IBM's first CEO and industrialist Thomas J. Watson. The computer system was specifically developed to answer questions on the quiz show Jeopardy!. In 2011, Watson competed on Jeopardy! against former winners Brad Rutter and Ken Jennings. Watson received the first place prize of $1 million. Watson had access to 200 million pages of structured and unstructured content consuming four terabytes of disk storage including the full text of Wikipedia, but was not connected to the Internet during the game. For each clue, Watson's three most probable responses were displayed on the television screen. Watson consistently outperformed its human opponents on the game's signaling device, but had trouble in a few categories, notably those having short clues containing only a few words. In February 2013, IBM announced that Watson software system's first commercial application would be for utilization management decisions in lung cancer treatment at Memorial Sloan Kettering Cancer Center in conjunction with health insurance company WellPoint. IBM Watson's former business chief Manoj Saxena says that 90% of nurses in the field who use Watson now follow its guidance.

Alteryx, Inc. was formed in 2011 and is a leader in self-service Data Science and analytics. Alteryx provides analysts with the unique ability to easily prep, blend and analyze all of their data using a repeatable workflow, then deploy and share analytics at scale for deeper insights in hours, not weeks.Analysts love the Alteryx Analytics platform because they can connect to and cleanse data from data warehouses, cloud applications, spreadsheets and other sources, easily join this data together, then perform analytics – predictive, statistical and spatial – using the same intuitive user interface, without writing any code.