life sciences

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Published By: MarkLogic     Published Date: May 07, 2018
Executives, managers, and users will not trust data unless they understand where it came from. Enterprise metadata is the “data about data” that makes this trust possible. Unfortunately, many healthcare and life sciences organizations struggle to collect and manage metadata with their existing relational and column-family technology tools. MarkLogic’s multi-model architecture makes it easier to manage metadata, and build trust in the quality and lineage of enterprise data. Healthcare and life sciences companies are using MarkLogic’s smart metadata management capabilities to improve search and discovery, simplify regulatory compliance, deliver more accurate and reliable quality reports, and provide better customer service. This paper explains the essence and advantages of the MarkLogic approach.
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agile, enterprise, metadata, management, organization
    
MarkLogic
Published By: MarkLogic     Published Date: May 07, 2018
Learn how Life Sciences organizations can accelerate Real World Evidence by achieving faster time to insight with a metadata-driven, semantically enriched operational platform. Real World Evidence (RWE) is today’s big data challenge in Life Sciences. Medical records, registries, consultation reports, insurance claims, pharmacy data, social media, and patient surveys all contain valuable insights that Life Sciences organizations need to ascertain and prove the safety, efficacy, and value of their drugs and medical devices. Learn how Life Sciences organizations can accelerate RWE with a metadata-driven, semantically enriched operational platform that enables them to: • Unify, harmonize and ensure governance of information from diverse data sources • Transform information into evidence that proves product efficacy and safety • Identify data patterns, connections, and relationships for faster time to insight
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data, integration, drug, device, manufacture, science
    
MarkLogic
Published By: AWS     Published Date: Mar 22, 2018
Healthcare and Life Sciences organizations are adopting cloud-based workloads at a significant pace. A 2017 HIMSS study found that 65% of Healthcare organizations were using cloud-based services, and nearly 88% of those organizations were utilizing Software-as-a-Service (SaaS) solutions, which have become the preferred deployment method for many clinical application vendors. This eBook highlights advantages of using AWS to create and maintain cloudbased Next-Gen BI Solutions for Healthcare and Life Sciences organizations. This includes use cases from diverse organizations that have utilized AWS and APN Partners to manage and analyze data, and to discover insights otherwise obscured by the sheer volume of available information. Solutions from APN Partners can help your organization take the next step in building robust processes for making data-driven decisions that improve patient care, organizational processes, and innovative product development efforts.
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AWS
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: AWS     Published Date: Sep 18, 2017
This eBook will introduce you to the compliance capabilities that can be achieved by using AWS services and its featured partners in healthcare and life sciences. In this eBook, you can learn how to build cloud-based healthcare solutions for HIPAA and other frameworks, as well as how to regulate workloads on the cloud for life sciences organizations. Download this eBook to learn more and to read actual customer use cases illustrating how healthcare and life sciences organizations can leverage AWS to help them with their compliance requirements.
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AWS
Published By: Infosys     Published Date: May 21, 2018
Every player in the life sciences sector knows it: the future of healthcare delivery lies in digital disruption. Their objective, therefore, is to positively disrupt their own business model before the competition beats them to it. They need to offer a digitally-enabled patient experience that improves clinical outcomes while also bringing benefits to all the other stakeholders, as seen in the hugely complex value chain of our client - a large pharmaceutical company.
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digital, disruption, technology, science, life, healthcare
    
Infosys
Published By: Infosys     Published Date: Dec 03, 2018
Data is a truly inexhaustible resource for an organization. It creates endless possibilities to make data do more. As a technology partner of hundreds of organizations around the world, Infosys helps clients navigate the journey from their current state to the next. Facilitating clients’ transition into data-native enterprises is a crucial part. To understand how companies are using data analytics today and their expectations in a world of endless possibilities with data, we recently commissioned an independent survey of 1,062 senior executives from organizations with annual revenues exceeding US$ 1 billion, in the United States, Europe, Australia, and New Zealand. The respondents were from business and technology roles, who were decision makers, program managers and external consultants; represented 12 industries, grouped into seven industry clusters, such as, consumer goods, retail and logistics, energy and utilities, financial services and insurance, healthcare and life sciences, h
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Infosys
Published By: HP     Published Date: Aug 03, 2009
The emergence of genomics and advanced gene sequencing techniques has made the collection and storage of data a centerpiece of biomedical research. As the data generated in biomedical research becomes richer and richer, having the infrastructure in place to deal with data growth efficiently is going to be a cornerstone of biomedical data management. This white paper examines a joint solution that features data reduction technologies combined with a network-attached storage system that offers storage optimization capacities along with an affordable, manageable, and scalable petabyte-ready storage platform.
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data, storage, genomics
    
HP
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: 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: 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: DocuSign     Published Date: Mar 23, 2016
Download this complimentary Ombud analyst report which examines best practices for leveraging DocuSign’s Digital Transaction Management solution for CIA compliance and the impact such technologies are already having on forward-thinking Fortune 500 companies.
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DocuSign
Published By: DocuSign     Published Date: Mar 23, 2016
Download this complimentary whitepaper and discover how DocuSign’s eSignature solutions modernize healthcare and life sciences organizations by eliminating paper and antiquated signature processes while meeting compliance requirements and reducing costs and errors.
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DocuSign
Published By: AWS     Published Date: Nov 08, 2018
In this webinar, you’ll learn how Reltio and IQVIA provide holistic data management solutions for traditional pharma, as well as for emerging biotech and consumer health companies, on Amazon Web Services (AWS).
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AWS
Published By: AWS     Published Date: Nov 08, 2018
In this webinar, you will learn how Allergan used Druva and AWS during the acquisition of ZELTIQ Aesthetics. You will hear how Allergan protected against accidental and purposeful data loss, and how backup data can be used for eDiscovery and forensic analysis.
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AWS
Published By: AWS     Published Date: Nov 08, 2018
In this webinar, you’ll learn how a major Healthcare organization is using integrated, reliable, and secure cloud-based solutions from Commvault and Amazon Web Services (AWS) to help address significant data growth while reducing infrastructure costs.
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AWS
Published By: DocuSign     Published Date: Jun 25, 2014
Leading life sciences companies aim to improve health outcomes around the world by delivering breakthrough treatments while complying with safe manufacturing techniques. When quality is compromised, that mission to deliver breakthrough treatments and the lives invested in these efforts are put at risk.
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docusign, regulatory compliance, life sciences, dtm, device companies, medical device, pharmaceutical, mitigate risk
    
DocuSign
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: IBM Watson Health     Published Date: Feb 28, 2017
IBM Watson Health aims to transform the drug development process for life sciences – from research to commercialization. IBM Watson for Drug Discovery helps accelerate breakthroughs by enabling researchers to quickly analyze, identify, and prioritize new therapeutic targets and drug combinations for future study.
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ibm, watson, watson health, drug discovery
    
IBM Watson Health
Published By: IBM     Published Date: Dec 15, 2016
BM Watson Health aims to transform the drug development process for life sciences – from research to commercialization. IBM Watson for Drug Discovery helps accelerate breakthroughs by enabling researchers to quickly analyze, identify, and prioritize new therapeutic targets and drug combinations for future study.
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ibm, watson, watson health, drug discovery
    
IBM
Published By: Quantum - Quinstreet     Published Date: Aug 10, 2011
Tape's evolving data storage role - Balancing Performance, Availability, Capacity, Energy for long-term data protection and retention
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quantum, quinstreet, data deduplication, deduplication, nas, network attached storage, remote replication, virtual tape library
    
Quantum - Quinstreet
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