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Results 326 - 350 of 402Sort Results By: Published Date | Title | Company Name
Published By: RelayHealth     Published Date: Apr 01, 2013
Statements can be a great opportunity to improve the patient experience and expedite collections, or they can lead to frustrated patients, lower self-pay revenue and increased bad debt. As pioneers of the healthcare industry’s patient-friendly initiative nearly 10 years ago, RelayHealth continues to research and innovate. Its most recent patient focus group provided input on how statement design impacts their satisfaction with the hospital, post-discharge experience and willingness to pay. Learn the critical components to creating patient statements that get results and help compel patients to pay: Download the 10 Keys to Creating Engaging Patient Statements today.
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statements, patient statements, healthcare, collection, patient experience
    
RelayHealth
Published By: RingCentral     Published Date: May 22, 2014
Traditional phone systems, aka, PBX were designed for a time when people primarily worked from desk phones; well before the Internet restructured our patterns of communication and general lifestyles. Many businesses feel entrenched with the systems they have, but as contracts expire and systems get harder to maintain options are considered. Explore the top 5 hidden costs of the PBX, including costs in upgrades, maintenance and service calls, the strain on IT budgets, accumulation of service charges, connecting office locations and difficulty planning for growth and the future.
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ringcentral, phone system, business phone, mobile phone, business transition, phone provider, cloud based phone, changing attitudes, pbx, enterprise applications, data center
    
RingCentral
Published By: Riverbed     Published Date: Apr 14, 2017
Many organizations transitioning from on-premises Microsoft applications to Office 365 will experience performance problems due to geographic factors and use of the Internet for connectivity. IT can minimize performance issues and deliver an acceptable experience to end users by paying careful attention to network design.
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Riverbed
Published By: Riverbed     Published Date: Jul 15, 2014
In January 2012, Riverbed® Technology announced version 9.5 of its Cascade® network performance management solution, which included a number of major enhancements. Collectively, the new capabilities are designed to improve visibility into the health and activity of applications and services traversing networks from the branch to the data center.
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advnace, visibility, virtual data centers, technology, solution, management, data center design and management
    
Riverbed
Published By: Riverbed     Published Date: Nov 02, 2016
Many organizations transitioning from on-premises Microsoft applications to Office 365 will experience performance problems due to geographic factors and use of the Internet for connectivity. IT can minimize performance issues and deliver an acceptable experience to end users by paying careful attention to network design.
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Riverbed
Published By: Rosetta Stone     Published Date: Nov 02, 2017
Designing the most comprehensive language program involves proven and cost-effective technology. Rosetta Stone's Language Learning Suite for K-12 has interactive solutions that complement any language curriculum. Take a look at the infographic to discover how the rise of technology enhances instruction and encourages learning.
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Rosetta Stone
Published By: Rosetta Stone     Published Date: Oct 23, 2018
Jim Detwiler, Boone County School District’s Assistant Superintendent, shares how they designed their global competency program and exactly why it is such a priority for this diverse region of Kentucky.
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Rosetta Stone
Published By: RuleStream     Published Date: Aug 21, 2009
This white paper from Managing Automation Research Services addresses how these ideas can be applied by engineer-to-order manufacturers.
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product design, product development, made to order, make to order, made-to-order, make-to-order, engineer to order, engineer-to-order, engineering, mars, manufacturing, supply chain, rulestream
    
RuleStream
Published By: Sage People     Published Date: Jan 31, 2019
The way we work has completely transformed. New technology is changing how, where and when we work. In this new landscape, businesses face challenges around growth, talent acquisition and productivity. Employers need to embrace new technology to get ahead in this new world of work, and put people at the heart of their strategy. However, HR and People leaders are in fierce competition for that all-important slice of budget and that makes building the strongest business case for technology investment vital. This guide is designed to help HR and People leaders like you get the financial support you need. You’ll get practical, effective tips on: • Understanding and explaining the true benefits of investing in a new HR system and likely return on investment • Positioning HR as a leader of change throughout your business • Ensuring your HR vision fits in with the business strategy • Getting management and key stakeholder buy-in • Building the strongest business case and the most powerful el
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Sage People
Published By: SAP     Published Date: Feb 10, 2011
Learn how our complete on-demand solution can help your manufacturing company achieve greater responsiveness, control over operations, and increased visibility.
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sap, business bydesign, on-demand, manufacturing, bydesign, erp, enterprise, manufacturing
    
SAP
Published By: SAP     Published Date: Apr 14, 2011
Find out how discrete manufacturers are becoming truly customer-centric by pursuing or planning a variety of initiatives, including the improvement of customer service and the closer integration of customers into product design.The greatest impact is expected from plans to implement demand-driven manufacturing.
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customer demand, sap, customer intimacy, economist intelligence unit, manufacturer, growth strategy
    
SAP
Published By: SAP     Published Date: Jul 17, 2012
Although IDC is expecting worldwide spending on business analytics software to be $33 billion in 2012, technology is only part of the story. The growing demand for faster response and deeper business insight is forcing companies to adopt a more pervasive approach to business intelligence (BI) that supports evidence-based decision making. Higher BI and analytics competency and pervasiveness are achieved when organizational culture, business processes, and technologies are designed and implemented with the goal of improving or automating all strategic, operational, and tactical decision making capabilities of all stakeholders. Access this paper to learn essential best practices for creating a solid BI and analytics strategy.
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sap, best practices, business intelligence, analytics strategy, technology
    
SAP
Published By: SAP     Published Date: May 03, 2016
Decades of finance processes designed for the batch world have tied the hands for finance professionals. Now, it’s about running in real time and understanding the impact of decisions before they are made. It’s time to reimagine everything, so we can do anything.
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sap, finance, digital, digital economy, transformation, enterprise applications
    
SAP
Published By: SAP     Published Date: Jul 18, 2016
The SAP® BusinessObjects™ Cloud solution offers all analytics capabilities for all users in one product. In the boardroom, at the office, or in front of a customer, you can discover, analyze, plan, predict, and collaborate in one integrated experience designed expressly for the cloud. Read the solution in detail to learn how to turn instant insight into quick action.
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SAP
Published By: SAP     Published Date: Aug 14, 2018
Today, ERP is a cornerstone of many organisations’ tech infrastructure. Yet many of the solutions in play are legacy products, decades old and designed for an entirely different business landscape. With industry leaders expressing concern that out-of-date ERP solutions have now become an impediment to competitive business, IDC set out to uncover what exactly modern companies need from their ERP systems, and why SAP S/4Hana seems so well placed to deliver.
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SAP
Published By: SAS     Published Date: Feb 09, 2016
Since the global financial crisis of 2008, stress tests have taken on growing importance and prominence in financial institution supervision and regulation. These tests, designed to measure an institution’s ability to maintain capital buffers and withstand extreme economic shocks, were imposed initially, and primarily, on the biggest multinational firms – those designated global significantly important banks (G-SIBs) or financial institutions (G-SIFIs). However, the circle for supervisory stress testing has widened to include a growing number of banks as defined by domestic jurisdictions – in the United States, for example, down to banks with $10 billion in assets under the Dodd-Frank Act Stress Test (DFAST) rule. What’s more, stress tests and their underlying scenarios can be of considerable value as a strategic management tool to a financial services company of virtually any type or size.
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sas, white paper, stress testing, supervisory stress testing, security, it management, enterprise applications, platforms
    
SAS
Published By: SAS     Published Date: Oct 18, 2017
When designed well, a data lake is an effective data-driven design pattern for capturing a wide range of data types, both old and new, at large scale. By definition, a data lake is optimized for the quick ingestion of raw, detailed source data plus on-the-fly processing of such data for exploration, analytics and operations. Even so, traditional, latent data practices are possible, too. Organizations are adopting the data lake design pattern (whether on Hadoop or a relational database) because lakes provision the kind of raw data that users need for data exploration and discovery-oriented forms of advanced analytics. A data lake can also be a consolidation point for both new and traditional data, thereby enabling analytics correlations across all data. To help users prepare, this TDWI Best Practices Report defines data lake types, then discusses their emerging best practices, enabling technologies and real-world applications. The report’s survey quantifies user trends and readiness f
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SAS
Published By: SAS     Published Date: Mar 06, 2018
When designed well, a data lake is an effective data-driven design pattern for capturing a wide range of data types, both old and new, at large scale. By definition, a data lake is optimized for the quick ingestion of raw, detailed source data plus on-the-fly processing of such data for exploration, analytics, and operations. Even so, traditional, latent data practices are possible, too. Organizations are adopting the data lake design pattern (whether on Hadoop or a relational database) because lakes provision the kind of raw data that users need for data exploration and discovery-oriented forms of advanced analytics. A data lake can also be a consolidation point for both new and traditional data, thereby enabling analytics correlations across all data. With the right end-user tools, a data lake can enable the self-service data practices that both technical and business users need. These practices wring business value from big data, other new data sources, and burgeoning enterprise da
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SAS
Published By: SAS     Published Date: Aug 28, 2018
When designed well, a data lake is an effective data-driven design pattern for capturing a wide range of data types, both old and new, at large scale. By definition, a data lake is optimized for the quick ingestion of raw, detailed source data plus on-the-fly processing of such data for exploration, analytics and operations. Even so, traditional, latent data practices are possible, too. Organizations are adopting the data lake design pattern (whether on Hadoop or a relational database) because lakes provision the kind of raw data that users need for data exploration and discovery-oriented forms of advanced analytics. A data lake can also be a consolidation point for both new and traditional data, thereby enabling analytics correlations across all data. To help users prepare, this TDWI Best Practices Report defines data lake types, then discusses their emerging best practices, enabling technologies and real-world applications. The report’s survey quantifies user trends and readiness f
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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: Schneider Electric     Published Date: Jun 04, 2014
While many who invest in Data Center Infrastructure Management (DCIM) software benefit greatly, some do not. Research has revealed a number of pitfalls that end users should avoid when evaluating and implementing DCIM solutions. Choosing an inappropriate solution, relying on inadequate processes, and a lack of commitment / ownership / knowledge can each undermine a chosen toolset’s ability to deliver the value it was designed to provide. This paper describes these common pitfalls and provides practical guidance on how to avoid them.
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schneider, electric, dcim, solution, invest, infrastructure, management, software, it management
    
Schneider Electric
Published By: Schneider Electric     Published Date: Nov 17, 2016
Today’s data center power and cooling infrastructure has roughly 3 times more data points / notifications than it did 10 years ago. Traditional data center remote monitoring services have been available for over 10 years but were not designed to support this amount of data monitoring and the associated alarms, let alone extract value from the data. This paper explains how seven trends are defining monitoring service requirements and how this will lead to improvements in data center operations and maintenance.
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schneider electric, digital remote monitoring, data center operations, maintenance, enterprise applications, infrastructure
    
Schneider Electric
Published By: Schneider Electric     Published Date: Mar 28, 2019
Implementing prefabricated modular data centers results in well-understood benefits including speed of deployment, predictability, scalability, and lifecycle cost. The process of deploying them – from designing the data center, to preparing the site, to procuring the equipment, to installation – is quite different than that of a traditional data center. This paper presents practical considerations, guidance, and results that a data center manager should expect from such a deployment.
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predictability, scalability, life cycle cost, schneider electric, - prefabricated data center, modular data center, data center design, data center manager
    
Schneider Electric
Published By: Schneider Electric     Published Date: May 31, 2019
Colocation facilities are rapidly designing and building new facilities in order to capitalize on market opportunity. Getting the facility up and running is the first challenge. The second? Recruiting, training, and retaining qualified data center staff. In this webinar, co-hosted by Tony DeSpirito, VP & General Manager Data Center Operations at Schneider Electric, & Brian Gisi, Infrastructure Management & Services Manager at IBM, to access field-tested methods & strategies that can help you: 1. Overcome the worldwide shortage of experienced data center professionals 2. Understand how out-tasking data center operations can benefit you & your clients 3. Identify key characteristics of a strong data center operations partner
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data center, business growth, schneider electric
    
Schneider Electric
Published By: Schneider Electric     Published Date: Jun 07, 2019
Implementing prefabricated modular data centers results in well-understood benefits including speed of deployment, predictability, scalability, and lifecycle cost. The process of deploying them – from designing the data center, to preparing the site, to procuring the equipment, to installation – is quite different than that of a traditional data center. This paper presents practical considerations, guidance, and results that a data center manager should expect from such a deployment.
Tags : 
predictability, scalability, life cycle cost, schneider electric, - prefabricated data center, modular data center, data center design, data center manager
    
Schneider Electric
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