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Published By: Envoy Global     Published Date: Oct 25, 2017
You’ll learn: Your work visa and green card sponsorship options How to develop payment and reimbursement guidelines Immigration perk package contents Sponsoring foreign nationals for work-based visas is a rewarding, yet large investment. As an HR professional, you’ll want to protect the time and financial resources spent recruiting foreign talent by ensuring they stay with your company for the long haul. Organizing a well-outlined, long-term immigration strategy allows you to manage each employee’s immigration process efficiently while avoiding potential dilemmas down the road. Join us as we help you understand the benefits of having an immigration policy for your organization and why it matters.
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Envoy Global
Published By: CA Technologies     Published Date: Jun 04, 2015
As empresas que dependem muito da TI para prestar serviços aos clientes são movidas constantemente pelas pressões do mercado para desenvolver e lançar novas funções de software que atendam às exigências cada vez maiores. Facilitar a colaboração entre o desenvolvimento e as operações de TI e colocar o aplicativo no mercado mais rapidamente e com maior qualidade são fundamentais para o sucesso dos negócios. Este resumo da solução apresenta informações sobre o movimento do DevOps, por que ele é importante e como é possível cruzar o abismo para melhorar a colaboração e gerar rapidamente valor para a empresa. Você aprenderá como as soluções da CA Technologies para DevOps otimizarão seu portfólio de tecnologias de TI em um ritmo de versões mais previsível e rápido, permitindo confirmar os resultados de cada fase do ciclo de vida do software que sejam positivos para a empresa.
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CA Technologies
Published By: CA Technologies     Published Date: Jun 04, 2015
"As empresas que dependem muito da TI para prestar serviços aos clientes são movidas constantemente pelas pressões do mercado para desenvolver e lançar novas funções de software que atendam às exigências cada vez maiores. Facilitar a colaboração entre o desenvolvimento e as operações de TI e colocar o aplicativo no mercado mais rapidamente e com maior qualidade são fundamentais para o sucesso dos negócios. Este resumo da solução apresenta informações sobre o movimento do DevOps, por que ele é importante e como é possível cruzar o abismo para melhorar a colaboração e gerar rapidamente valor para a empresa. Você aprenderá como as soluções da CA Technologies para DevOps otimizarão seu portfólio de tecnologias de TI em um ritmo de versões mais previsível e rápido, permitindo confirmar os resultados de cada fase do ciclo de vida do software que sejam positivos para a empresa."
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CA Technologies
Published By: Infor     Published Date: Mar 07, 2017
El objetivo de las operaciones de un almacén es dar una respuesta perfecta los pedidos: entregar exactamente lo que un cliente pide, a tiempo y con una eficiencia óptima. El módulo de almacenes de una solución de planificación de recursos empresariales (ERP – Enterprise Resources Management) puede ayudar a los almacenes más pequeños. Pero los módulos de gestión de almacenes de los ERP tienen limitaciones y, en el caso de empresas con operaciones más complejas, puede ser más inteligente optar por las capacidades adicionales de un sistema de gestión de almacenes avanzado (WMS, Warehouse Management System).
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Infor
Published By: SAS     Published Date: Aug 03, 2016
Identifying the best technology to improve marketing performance is a complex decision, especially for a growing marketing organization. Deciding where to spend valuable capital should be based on the greatest opportunity for gain. In the current marketing environment, the greatest opportunity is in analytically enabled marketing.
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best practices, technology, data, opportunity, marketing
    
SAS
Published By: SAS     Published Date: Jan 17, 2018
First, today’s digitally oriented customers expect banks to provide an ever-higher quality experience defined by speed and the flexibility to conduct business across many channels. They’ve grown accustomed to going online and transferring money between accounts, for example, and using their mobile device to make payments and check their account balance. These kinds of experiences have raised the bar in terms of customer expectations – and banks need to keep up, or risk losing customers. This is particularly true of millennial customers, as they have little regard for loyalty, which banks have traditionally relied on to build their business. Once frustrated by inconvenience, they don’t hesitate to switch banks – and thanks to the internet, this is now a fast, painless process.
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SAS
Published By: SAS     Published Date: Apr 25, 2017
For traditional banks, competing in an increasingly digital business environment is a challenge. And it’s getting tougher on several fronts. First, today’s digitally oriented customers expect banks to provide an ever-higher quality experience defined by speed and the flexibility to conduct business across many channels. They’ve grown accustomed to going online and transferring money between accounts, for example, and using their mobile device to make payments and check their account balance. These kinds of experiences have raised the bar in terms of customer expectations – and banks need to keep up, or risk losing customers. This is particularly true of millennial customers, as they have little regard for loyalty, which banks have traditionally relied on to build their business. Once frustrated by inconvenience, they don’t hesitate to switch banks – and thanks to the internet, this is now a fast, painless process.
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SAS
Published By: LogMeIn     Published Date: Jan 03, 2013
Based on research with more than three hundred companies, the report takes a close look at how live chat is used and measured in support settings, how organisations use live chat to engage with prospects and customers. Read on to learn more.
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environment, support, organizations, live support, customer experience, business goals, live chat success, logmein
    
LogMeIn
Published By: VMware Dell     Published Date: Jun 05, 2008
Radiator Express Warehouse (1800Radiator), a fast-growing automotive parts distributor, found that it was running at maximum power and its racks were full. Using VMware virtualization technology, the company was able to take 31 physical servers out of production, resulting in a 25 percent reduction in power and cooling costs.
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virtualization, vmware, virtual infrastructure, x86, server consolidation, server containment, business continuity, disaster recovery, energy savings, vmware infrastructure 3, vi3, vmware
    
VMware Dell
Published By: HP Enterprise Services     Published Date: Apr 02, 2014
A video explaining how high-end replication and fail over solutions used to be economical only for stock exchanges and other similar environments, but not anymore. Find out how HP can help you cut recovery time and data loss with a cloud-based disaster recovery solution that is less than you would think.
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disaster recovery, business continuity, recovery services, resiliency services, recovery-as-a-service, cloud continuity
    
HP Enterprise Services
Published By: Code42     Published Date: Feb 28, 2018
Disaster Recovery Plan Roadmap Learn how automatic backup delivers guaranteed business data protection and recovery—no matter the threat. When ransomware hits, the average small business experiences two full days of downtime. One-third of businesses lose revenue and all experience brand and loyalty damage that’s harder to quantify. To stop the bleeding, most small businesses end up paying at least $2,500 to get their data back. But paying the ransom doesn’t guarantee anything. Plenty of businesses have fully complied with the ransom demands, only to have the ransomer increase the ransom request—or simply take off with the ransom and the data.
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Code42
Published By: SAS     Published Date: Jan 17, 2018
We have conditioned patients not only to expect opioids for pain relief, but to utilize more and more of them, and the addiction is both psychological and physical. To remedy the situation, a lot of policies and practices and behaviors must change around how the health care system approaches pain. But we do not yet have the data and analytics we need to determine what specifically to do at the patient level or the policy level. Download this whitepaper to learn more about the resources available and how we can fix this issue.
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SAS
Published By: SAS     Published Date: Aug 03, 2016
On an average day, 78 Americans die from opioid overdose. Last year’s total was almost 30,000 deaths, roughly two-thirds involving prescription opioids (including Percocet, Vicodin, Hydrocodone, Oxycodone, Oxycontin), the rest involving heroin. The United States, with about 5 percent of the global population, consumes 80 percent of the prescription opioids. The problem affects people of all backgrounds and across the socioeconomic spectrum; the Center for Disease Control (CDC) has officially declared it an epidemic.
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best practices, data, technology, analytics
    
SAS
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, information technology, practice management
    
SAS
Published By: SAS     Published Date: Aug 03, 2016
Today’s customer experience requires a combination of individualized insights, connected interactions and an agile approach to meet customers in the channel of their choosing. This means more than simply doing the same things over in the new channels. It requires new ways of exploring customer trends and preferences, and being smarter about responding to these factors.
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technology, best practices, productivity, data, competitive advantage
    
SAS
Published By: SAS     Published Date: Jan 17, 2018
Delivering exceptional customer experiences has become a key differentiator for top organizations today. Now you can see where your peers and competitors stand in the new Forbes Insights report Data Elevates the Customer Experience. This report is a comprehensive follow-up to an October 2015 preliminary pulse survey conducted among 105 executives of large global organizations. It identifies three categories of organizations – leaders, explorers and laggards – and measures the progress they have made with the data-driven customer experience based on three key pillars: organization (people), openness (data) and orchestration (processes). Read the results, find out where you stand and glean some new ideas from your peers about how to elevate the customer experience.
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SAS
Published By: SAS     Published Date: Mar 06, 2018
Better health care at lower costs, for everyone – how do health care providers get there? Understanding the gaps in patient care, patient needs, and the geographic distribution of the patient population are important elements to consider when making decisions about improving the quality of care and reducing its costs. To effectively analyze gaps in patient care, the data needs to be in a single place or system. However, in many organizations, data is spread across a myriad of spreadsheets and database systems. Data not organized for visual exploration and coherent analysis isn’t useful for decision making. Hence the need for visually appealing and scalable analytical tools to help organizations be more efficient, effective and economically successful.
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SAS
Published By: SAS     Published Date: Mar 06, 2018
Location data is found everywhere – with an item or a device, in a conversation or behavior, in machines or sensors, tied to a customer or competitor, attached to a database record or recorded from vehicles or other moving objects. Organizations want to take advantage of location data to improve decisions, create better customer engagement and experiences, reduce risks and automate business processes.
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SAS
Published By: SAS     Published Date: Jun 06, 2018
Data integration (DI) may be an old technology, but it is far from extinct. Today, rather than being done on a batch basis with internal data, DI has evolved to a point where it needs to be implicit in everyday business operations. Big data – of many types, and from vast sources like the Internet of Things – joins with the rapid growth of emerging technologies to extend beyond the reach of traditional data management software. To stay relevant, data integration needs to work with both indigenous and exogenous sources while operating at different latencies, from real time to streaming. This paper examines how data integration has gotten to this point, how it’s continuing to evolve and how SAS can help organizations keep their approach to DI current.
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SAS
Published By: SAS     Published Date: Aug 28, 2018
Data integration (DI) may be an old technology, but it is far from extinct. Today, rather than being done on a batch basis with internal data, DI has evolved to a point where it needs to be implicit in everyday business operations. Big data – of many types, and from vast sources like the Internet of Things – joins with the rapid growth of emerging technologies to extend beyond the reach of traditional data management software. To stay relevant, data integration needs to work with both indigenous and exogenous sources while operating at different latencies, from real time to streaming. This paper examines how data integration has gotten to this point, how it’s continuing to evolve and how SAS can help organizations keep their approach to DI current.
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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: Aug 28, 2018
Machine learning systems don’t just extract insights from the data they are fed, as traditional analytics do. They actually change the underlying algorithm based on what they learn from the data. So the “garbage in, garbage out” truism that applies to all analytic pursuits is truer than ever. Few companies are already using AI, but 72 percent of business leaders responding to a PWC survey say it will be fundamental in the future. Now is the time for executives, particularly the chief data officer, to decide on data management strategy, technology and best practices that will be essential for continued success.
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SAS
Published By: SAS     Published Date: Jan 30, 2019
Machine learning systems don’t just extract insights from the data they are fed, as traditional analytics do. They actually change the underlying algorithm based on what they learn from the data. So the “garbage in, garbage out” truism that applies to all analytic pursuits is truer than ever. Few companies are already using AI, but 72 percent of business leaders responding to a PWC survey say it will be fundamental in the future. Now is the time for executives, particularly the chief data officer, to decide on data management strategy, technology and best practices that will be essential for continued success.
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SAS
Published By: SAS     Published Date: Apr 25, 2017
No matter what your initiative, accurate data is where to start if you want to make the best possible decisions. There’s certainly no lack of data. But simply having lots of data won’t necessarily help you answer big questions, understand problems or make faster, better decisions. To achieve competitive advantage, maintain profitability or satisfy customers, you must be able to act on what the data tells you.
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SAS
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