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Published By: Truven Health Analytics     Published Date: Aug 01, 2015
The Truven Health 15 Top Health Systems study annually identifies those health system leadership teams that have most effectively aligned outstanding performance across their organizations, and achieved more reliable outcomes in every member hospital. Truven Health Analytics measures U.S. health systems based on a balanced scorecard across a range of performance factors: care quality, patient safety, use of evidence-based medicine, operational efficiency, and customer perception of care.
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Truven Health Analytics
Published By: Truven Health Analytics     Published Date: Dec 01, 2014
The Truven Health Analytics 50 Top Cardiovascular Hospitals study identifies hospitals that achieve the best performance on a scorecard of performance measures. This year, based on comparisons between the winners and a peer group of similar high-volume hospitals that were not winners, the study found that if all cardiovascular providers performed at the level of this year’s winners, approximately 9,500 additional patients could survive, more than $1 billion could be saved, and almost 3,000 additional bypass and angioplasty patients could be complication-free. This is based on an analysis of Medicare patients; if the same standards were applied to all inpatients, the impact would be even greater.
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Truven Health Analytics
Published By: Truven Health Analytics     Published Date: Dec 08, 2015
The Truven Health Analytics 50 Top Cardiovascular Hospitals study identifies U.S. hospitals that have achieved the best performance on a balanced scorecard of performance measures. Based on comparisons between study winners and a peer group of similar hospitals that were not winners, winners are achieving better outcomes while operating more efficiently and at a lower cost. If all cardiovascular providers performed at the same level of this year’s winners, almost 8,000 additional lives could be saved; nearly 3,500 heart patients could be complication free; and more than $1.3 billion could be saved.
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Truven Health Analytics
Published By: Truven Health Analytics     Published Date: Mar 28, 2016
The annual Truven Health AnalyticsTM 100 Top Hospitals® identifies U.S. hospitals with the best overall performance across multiple organizational metrics, including clinical, operational, and financial. The ability of some hospitals to adapt as the industry is changing demonstrates leadership as the winners set the standards their peers seek to achieve. The study revealed that the nation’s best hospitals had a lower mortality index, considering patient severity; had fewer patient complications; followed accepted care protocols; had lower 30-day mortality and 30-day readmission rates; sent patients home sooner; provided more timely emergency care; kept expenses low, both in-hospital and through the aftercare process; and scored better on patient surveys of hospital experience
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Truven Health Analytics
Published By: Aberdeen     Published Date: Jun 17, 2011
Download this paper to learn the top strategies leading executives are using to take full advantage of the insight they receive from their business intelligence (BI) systems - and turn that insight into a competitive weapon.
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aberdeen, michael lock, data-driven decisions, business intelligence, public sector, analytics, federal, state
    
Aberdeen
Published By: KPMG     Published Date: Jun 10, 2019
Getting complex decisions right across complicated operational networks is the key to optimum performance. Find out how one of the UK’s biggest bus operators is using data and analytics to make better decisions and optimise the use of resources across their network. Read this story to discover: • how data and analytics can transform operational performance • the benefits of using decision-support tools in the middle office • key lessons for getting your plans for digital transformation right.
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KPMG
Published By: Marketo     Published Date: Sep 03, 2019
How much additional profit will a 10% increase in your marketing budget generate? 44% of qualified marketers have NO idea. If you fit into the 44% above, justifying your budget will be a serious challenge, as will asking for an increase. In fact, you'll likely find yourself asking the question the other way around: What will happen if my marketing budget gets cut by 10%? You can't expect your organization to place value on something you're unable to quantify. Our Definitive Guide to Marketing Metrics will help you do just that. You'll learn about: How Measurement Builds Respect and Accountability Planning for Marketing ROI A Framework for Measurement Revenue Analytics Marketing Performance Measurement The Art of Forecasting Dashboards Implementation: Team, Tactics, Technology Download the comprehensive 88-page guide and start taking your marketing to the next level.
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Marketo
Published By: Hewlett Packard Enterprise     Published Date: Jan 31, 2019
With the maturing of the all-flash array (AFA) market, the established market leaders in this space are turning their attention to other ways to differentiate themselves from their competition besides just product functionality. Consciously designing and driving a better customer experience (CX) is a strategy being pursued by many of these vendors.This white paper defines cloud-based predictive analytics and discusses evolving storage requirements that are driving their use and takes a look at how these platforms are being used to drive incremental value for public sector organizations in the areas of performance, availability, management, recovery, and information technology (IT) infrastructure planning.
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Apr 26, 2019
With the maturing of the all-flash array (AFA) market, the established market leaders in this space are turning their attention to other ways to differentiate themselves from their competition besides just product functionality. Consciously designing and driving a better customer experience (CX) is a strategy being pursued by many of these vendors.This white paper defines cloud-based predictive analytics and discusses evolving storage requirements that are driving their use and takes a look at how these platforms are being used to drive incremental value for public sector organizations in the areas of performance, availability, management, recovery, and information technology (IT) infrastructure planning.
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Hewlett Packard Enterprise
Published By: SAP     Published Date: May 18, 2014
The technology market is giving significant attention to Big Data and analytics as a way to provide insight for decision making support; but how far along is the adoption of these technologies across manufacturing organizations? During a February 2013 survey of over 100 manufacturers we examined behaviors of organizations that measure effective decision making as part of their enterprise performance management efforts. This Analyst Insight paper reveals the results of this survey.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management
    
SAP
Published By: Hewlett Packard Enterprise     Published Date: Jul 19, 2018
"This research by Nimble Storage, a Hewlett Packard Enterprise Company, outlines the top five causes of application delays. The report analyzes more than 12,000 anonymized cases of downtime and slow performance. Read this report and find out: Top 5 causes of downtime and poor performance across the infrastructure stack How machine learning and predictive analytics can prevent issues Steps you can take to boost performance and availability"
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cloud, nimble storage, infrastructure
    
Hewlett Packard Enterprise
Published By: HP Enterprise Business     Published Date: Jan 27, 2017
HPE StormRunner Load is a cloud based performance testing solution that helps agile development teams release robust products that scale with confidence. The comprehensive analytic will identify performance bottleneck before deployment.
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HP Enterprise Business
Published By: SAP     Published Date: May 03, 2016
Discover why analytics may be the key to revolutionizing performance management and other HR processes.
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sap, performance management, simplify, employee, management
    
SAP
Published By: Hewlett Packard Enterprise     Published Date: Aug 23, 2018
Learn how predictive analytics and machine learning can help optimize application performance and meet the needs of the business with Nimble Storage Infosight. This ESG report highlights: • Optimal application performance and delivery is difficult to achieve in complex environments. • Many IT infrastructure and operations teams are stretched to the breaking point. • Predictive analytics and machine learning can be applied to great effect.
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Aug 23, 2018
"This research by Nimble Storage, a Hewlett Packard Enterprise Company, outlines the top five causes of application delays. The report analyzes more than 12,000 anonymized cases of downtime and slow performance. Read this report and find out: -Top 5 causes of downtime and poor performance across the infrastructure stack -How machine learning and predictive analytics can prevent issues -Steps you can take to boost performance and availability
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Hewlett Packard Enterprise
Published By: Oracle CX     Published Date: Oct 19, 2017
Modern technology initiatives are driving IT infrastructure in a new direction. Big data, social business, mobile applications, the cloud, and real-time analytics all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Customers increasingly drive the speed of business, and organizations need to engage with customers on their terms. The need to manage sensitive information with high levels of security as well as capture, analyze, and act upon massive volumes of data every hour of every day has become critical. These challenges will dramatically change the way that IT systems are designed, funded, and run compared to the past few decades. Databases and Java have become the de facto language in which modern, cloud-ready applications are written. The massive explosion in the volume, variety, and velocity of data increases the need for secure and effective analytics so that organizations can make better
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Oracle CX
Published By: Oracle CX     Published Date: Oct 19, 2017
The Software in Silicon design of the SPARC M7 processor, and the recently announced SPARC S7 processor, implement memory access validation directly into the processor so that you can protect application data that resides in memory. It also includes on-chip Data Analytics Accelerator (DAX) engines that are specifically designed to accelerate analytic functions. The DAX engines make in-memory databases and applications run much faster, plus they significantly increase usable memory capacity by allowing compressed databases to be stored in memory without a performance penalty. The following Software in Silicon technologies are implemented in the SPARC S7 and M7 processors: Note: Security in Silicon encompasses both Silicon Secured Memory and cryptographic instruction acceleration, whereas SQL in Silicon includes In-Memory Query Acceleration and In-Line Decompression. Silicon Secured Memory is the first-ever end-to-end implementation of memory-access validation done in hardware. It
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Oracle CX
Published By: Oracle CX     Published Date: Oct 19, 2017
Modern technology initiatives are driving IT infrastructure in a new direction. Big data, social business, mobile applications, the cloud, and real-time analytics all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Customers increasingly drive the speed of business, and organizations need to engage with customers on their terms. The need to manage sensitive information with high levels of security as well as capture, analyze, and act upon massive volumes of data every hour of every day has become critical. These challenges will dramatically change the way that IT systems are designed, funded, and run compared to the past few decades. Databases and Java have become the de facto language in which modern, cloud-ready applications are written. The massive explosion in the volume, variety, and velocity of data increases the need for secure and effective analytics so that organizations can make better
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Oracle CX
Published By: KPMG     Published Date: Nov 13, 2018
Read this to find out how we developed a decision-support tool to help a major transport operator use data and analytics to optimise commercial performance. Discover: what happens when humans are faced with complex decisions how data and analytics can be applied to improve decision making how a decision-support tool works in real life (video) what lessons your business can learn from this case story.
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KPMG
Published By: Workday Spain     Published Date: Sep 19, 2018
People analytics is increasingly on the agenda for organisations. With the rise of workplace technology allowing leaders to track employees’ performance, productivity and wellbeing, we partnered with the CIPD to survey over 3,000 business professionals to understand how people analytics is being used. And the results are in. 65% of respondents who work in an organisation with a strong people analytics culture, say their business performance is strong compared to competitors. As well as outlining the key opportunities leaders can capitalise on, this report covers: - How different professions are using people data - The various types of people data that are being used - How people analytics adds value to organisations - What the future holds for people data
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Workday Spain
Published By: TIBCO Software GmbH     Published Date: Jan 15, 2019
Enterprises use data virtualization software such as TIBCO® Data Virtualization to reduce data bottlenecks so more insights can be delivered for better business outcomes. For developers, data virtualization allows applications to access and use data without needing to know its technical details, such as how it is formatted or where it is physically located. For developers, data virtualization helps rapidly create reusable data services that access and transform data and deliver data analytics with even heavylifting reads completed quickly, securely, and with high performance. These data services can then be coalesced into a common data layer that can support a wide range of analytic and applications use cases. Data engineers and analytics development teams are big data virtualization users, with Gartner predicting over 50% of these teams adopting the technology by 202
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TIBCO Software GmbH
Published By: Aberdeen Group     Published Date: Jun 02, 2011
Download this paper to learn the top strategies leading executives are using to take full advantage of the insight they receive from their business intelligence (BI) systems - and turn that insight into a competitive weapon.
Tags : 
aberdeen, michael lock, data-driven decisions, business intelligence, public sector, analytics, federal, state
    
Aberdeen Group
Published By: Adobe     Published Date: Nov 07, 2013
Audi differentiates its brand experience using web content and digital asset management capabilities in Adobe Experience Manager.
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adobe, audi, audi cars, adobe marketing cloud, audi website, latest innovation, brand experience, head of brand portal
    
Adobe
Published By: ExtraHop     Published Date: Apr 03, 2013
The ExtraHop Discovery Edition is a free virtual appliance will help you to discover the performance of your applications across the network, web, VDI, database, and storage tiers. Get yours today!
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it operational intelligence, application performance management, application performance monitoring, application monitoring, network performance management, network performance monitoring, network monitoring, infrastructure performance monitoring
    
ExtraHop
Published By: Dun & Bradstreet     Published Date: Mar 03, 2017
Creating predictive analytics from alternative data has become the current focus of the biggest quant trading firms in the industry The democratization of financial services data and technology, together with more intense competition, makes the needs of today’s market participants vastly different from those of previous generations. Firms must locate untapped sources of data for both public and non-public companies. This alternative data, such as payment data and other non-public information, from sources beyond the common channels, can be a predictive indicator of market performance; a difference maker in assisting firms as they develop models to evaluate their investments. By combining our unique data sets with advanced analytics, traders, analysts and managers can seek predictive signals and actionable information utilizing their own models. View our research report to learn how alternative data, our 'Information Alpha,' can help you earn differentiated investment returns.
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Dun & Bradstreet
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