life sciences

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Published By: Quantum - Quinstreet     Published Date: Aug 10, 2011
This paper outlines some of the important considerations for encrypting data on tape, and is intended to help IT administrators make the right decision for their environment and their company's data security needs.
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quantum, quinstreet, data deduplication, deduplication, nas, network attached storage, remote replication, virtual tape library
    
Quantum - Quinstreet
Published By: Quantum - Quinstreet     Published Date: Aug 10, 2011
This white paper shows how upgrading to LTO-5 technology and consolidating storage onto fewer tapes enables organizations to achieve a 5yr ROI and a 17-month payback period.
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quantum, quinstreet, data deduplication, deduplication, nas, network attached storage, remote replication, virtual tape library
    
Quantum - Quinstreet
Published By: SAP     Published Date: Apr 30, 2008
Consider how life sciences manufacturers can deal effectively with dynamic market needs, increased compliance requirements, more distributed manufacturing operations, and rapid product innovation.
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sap, scm, erp, lean manufacturing, lean methods
    
SAP
Published By: SAP     Published Date: Nov 22, 2017
Consumer industries are facing once in a lifetime changes in the way they engage and interact with their customers and consumers. Whether consumer products, retail, or wholesale, there are two broadly unifying trends. First, consumers have both heightened influence and increased expectations. Second, several largely untapped digital technologies have the potential to enable new capabilities to better satisfy customer needs. For the key consumer industries of agribusiness, consumer products, life sciences, retail, and wholesale, the Internet of Things (IoT) will enable many new opportunities. These industries have a shared goal and challenge: to be able to create and offer engaging end consumer and/or customer experiences at scale. Part of the way that companies will achieve this goal and respond to this challenge is by developing digital transformation (DX) strategies. Such strategies enable new and potentially disruptive capabilities with a broad range of technologies.
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consumer, industries, interactions, customers, products, retails, wholesale, influence
    
SAP
Published By: SAP     Published Date: Oct 11, 2018
Life sciences is an industry on the move. Driven by regulatory changes, manufacturing capacity, and margin pressures, the industry’s supply chain and procurement leaders are relying heavily on contract manufacturing organizations (CMOs). These relationships require new ways of managing product quality and costs across the supply network. Learn how a true digital strategy can optimize internal and external processes – and extend them beyond the enterprise – so you can excel in today’s complex market.
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SAP
Published By: SAP Ariba     Published Date: Oct 11, 2018
Life sciences is an industry on the move. Driven by regulatory changes, manufacturing capacity, and margin pressures, the industry’s supply chain and procurement leaders are relying heavily on contract manufacturing organizations (CMOs). These relationships require new ways of managing product quality and costs across the supply network. Learn how a true digital strategy can optimize internal and external processes – and extend them beyond the enterprise – so you can excel in today’s complex market.
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SAP Ariba
Published By: SAS     Published Date: Nov 04, 2015
In a panel discussion at the 12th annual SAS Health Analytics Executive Forum in May 2015, leaders from Dignity Health, Horizon Blue Cross Blue Shield of New Jersey, Janssen Pharmaceuticals and SAS shared what they have done to prove the value of analytics to their business leaders – and what has worked for them as they developed an analytic culture in their organizations and put analytic insights to work.
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sas, healthcare, healthcare models, episode analytics, analytics
    
SAS
Published By: SAS     Published Date: Jun 27, 2019
In the quest to understand how a therapeutic intervention performs in actual use – in real medical practice outside the controlled environment of clinical trials – many life sciences organizations are stymied. They rely on one-off processes, disconnected tools, costly and redundant data stores, and ad hoc discovery methods. It’s time to standardize real-world data and analytics platforms – to establish much-needed consistency, governance, repeatability, sharing and reuse. The organizations that achieve these goals will formalize their knowledge base and make it scalable, while significantly reducing turnaround times, resources and cost. Learn the seven key components for putting that structure to real-world evidence – and four ways to take it to the next level.
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SAS
Published By: SAS     Published Date: Jun 27, 2019
The potential for analytics to transform health care – to make it more personalized, intelligent, cost-efficient and effective – is immense. The question is, how will you move your organization forward to exploit the power of analytics? In this paper, explore recommendations and best practices from experts at UnitedHealth Group, Eli Lilly and Company, and Mercy Virtual who are operationalizing SAS analytics across their enterprises and realizing impressive results.
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SAS
Published By: SAS     Published Date: Jun 27, 2019
Imagine: Your pharmaceutical or medical device has been tested in carefully designed clinical trials and shown to meet required standards of efficacy and safety. It has gained regulatory approval and has gone to market. Now you want to know, does it measure up to its promise when used in the real world? Does it materially improve patient outcomes? Does it outperform alternative therapies? Does it achieve these outcomes at an appropriate value? Do you know which patients are most likely to benefit from it? Can you prove it, with statistical rigor? As the health care system moves toward a patient-centric, value-based approach, questions such as these are getting heightened scrutiny from all angles – from regula- tors, payers, providers and patients. And they should. Real-world evidence (RWE) can provide new insight into the benefits, risks and cost effectiveness of medicines and medical devices in actual use – evidence that can enable life sciences companies to develop better therapies
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SAS
Published By: SAS     Published Date: Jun 27, 2019
Hear about real-world use cases that demonstrate how data, advanced analytics, AI and IoMT are helping life sciences companies increase efficiency.
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SAS
Published By: SAS     Published Date: Jun 27, 2019
Learn more about where these two industries intersect as the application of AI and advanced analytics matures, including several use case examples.
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SAS
Published By: SAS     Published Date: Jul 22, 2019
Text is the largest human-generated data source. It grows every day as we post on social media, interact with chatbots and digital assistants, send emails, conduct business online, generate reports and essentially document our daily thoughts and activities using computers and mobile devices. Increasingly, organizations want to know how all of that data can be used to drive improvements. For many, unstructured text represents a massive untapped data source with great potential for producing valuable insights that could result in significant business transformations or spur incredible social innovation. This paper looks at how organizations in banking, health care and life sciences, manufacturing and government are using SAS text analytics to drive better customer experiences, reduce fraud and improve society.
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SAS
Published By: SAS     Published Date: Aug 06, 2019
With the combination of electronic health records, rich repositories of claims data, medical device outputs, laboratory and prescription systems, real-world data and the data mined from other information technology systems, the health and life sciences ecosystem can now gain new perspective. Download this complimentary paper to learn more about how health care data has the power to transform the sector, helping to address the industry’s biggest challenges surrounding costs and quality of patient care. By adopting solutions that allow them to both produce and consume data analytics insights in a way that better guides clinical and business strategies, innovative health care organizations can learn not only to survive but also thrive in the decades to come.
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SAS
Published By: SAS     Published Date: Aug 19, 2019
With the combination of electronic health records, rich repositories of claims data, medical device outputs, laboratory and prescription systems, real-world data and the data mined from other information technology systems, the health and life sciences ecosystem can now gain new perspective. Download this complimentary paper to learn more about how health care data has the power to transform the sector, helping to address the industry’s biggest challenges surrounding costs and quality of patient care. By adopting solutions that allow them to both produce and consume data analytics insights in a way that better guides clinical and business strategies, innovative health care organizations can learn not only to survive but also thrive in the decades to come.
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SAS
Published By: SchemaLogic     Published Date: Jun 11, 2008
In the Life Sciences industry, information is the source of innovation. Vast varieties of content and information sources feed the development pipeline. The ability to create, share, navigate, find and protect essential information is critical to research and development groups, clinicians, regulatory agencies, marketing teams, and those who benefit the most - customers.
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pharm, pharmaceutical, pharmaceuticals, medicine, life science, chemistry, chemical, biological
    
SchemaLogic
Published By: Seismic     Published Date: May 14, 2019
Seventy percent of healthcare and life sciences companies are looking to digitize their operations to facilitate growth, but only 2% have completed a digital transformation. To remain compliant and improve engagement you need to develop a core infrastructure that’s more effective and efficient and incorporate modern technologies to do so. This e-book reviews the basics of digital transformation, the tools and resources you need to get started, and the plays you’ll need for game time success: ? Play #1: Understand your customers ? Play #2: Evaluate where you stand today ? Play #3: Research modern technology ? Play #4: Plan and implement for game time ? Play #5: Measure your success
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Seismic
Published By: ServiceSource     Published Date: Sep 15, 2015
Companies that take a more sophisticated approach to customer success, revenue retention and revenue growth after the initial sale earn 46 percent more revenue compared to their less sophisticated peers, according to a global study conducted in 2015 across software, hardware, SaaS and life sciences companies. The study highlights the urgent need for companies to consider the full range of customer success and revenue growth activities after the initial sale—collectively called the “revenue lifecycle”—which includes onboarding, adoption, upselling/cross-selling, retention and renewal. The study shows that a company that improves people, processes, technology, data and KPIs in the revenue lifecycle can expect to improve renewal rates by more than 31 points.
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ServiceSource
Published By: UPS     Published Date: May 24, 2017
For life sciences businesses, the supply chain used to mean one thing: getting products from factory or warehouse to distributors or ultimate customers as quickly and economically as possible. Now, with today’s evolving regulatory environment, an increasingly globalized market, more complex health products, and an increased focus on the patient, pharmaceutical companies and medical device manufacturers are looking at their supply chain and logistics needs in a whole new way.
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health care, supply chain, ups, business, science
    
UPS
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