Read this paper from Dell EMC and Intel® to learn the business value of Data Domain and how it can...
• Speed up your backups
• Improve disaster recovery
• Save valuable floor space
...and so much more!
As the shift into a digital economy continues to accelerate, companies must out-innovate, outthink, and outpace their competition. Businesses must embrace change and transform to become the disruptors in their industries rather than wait to be disrupted by their competitors.
In the face of this pressure to evolve, organizations need to transform IT to reduce both the capital and operational costs of legacy IT. They must offload repeatable and time-intensive manual tasks like backup, disaster recovery, and service deployment to software and policy-driven automation.
La transformación digital se está produciendo cada vez en más organizaciones y las
pequeñas y medianas empresas no pueden permitirse el lujo de ignorarla. En el caso
concreto de RR. HH., las barreras para el éxito de la transformación son las personas, el
conocimiento y la cultura. Guste o no, el negocio confiará en que el departamento de RR. HH.
apoye estas iniciativas y haga que esto suceda desde la base de empleados.
Aunque muchas empresas todavía no saben exactamente qué significa para ellas la transformación digital, no cabe duda de que los CIO tienen una oportunidad perfecta para liderar la innovación en sus organizaciones.
En este informe se analiza la transformación digital con la lupa del CIO para definir lo que significa y explorar los pasos para lograrla. Lea el informe para acceder a insights de CIO en activo y con otros que ya no desempeñan este puesto, académicos, expertos del sector y otras personas que han sido testigos de la transformación digital y saben cuáles son los ingredientes que componen la receta del éxito.
En un nuevo estudio global, CIO.com y Workday realizaron una encuesta destinada a conocer mejor la migración fluida de las organizaciones a cloud.
Las conclusiones, basadas en los resultados de la encuesta distribuida a 450 ejecutivos de TI y en 10 entrevistas individuales en 17 países, se han publicado en un nuevo informe.
Lea este informe para obtener una nueva perspectiva global sobre las diferencias entre Europa y otras regiones en temas como los siguientes:
• Los motivos de las organizaciones para trasladarse a cloud
• El proceso de toma de decisiones y las partes implicadas
• Mejores prácticas de implementación y lecciones aprendidas en el proceso
• Beneficios de la migración a cloud
En esta repetición del vídeo del webinar del Argyle Executive Forum, ejecutivos de RRHH de empresas líderes de distintos sectores ofrecen insights y recomendaciones de expertos para desarrollar una estrategia de analytics y establecer una estructura de datos.
Vea las conclusiones principales para grandes empresas de este estudio encargado en febrero de 2018 a Forrester Consulting por Workday. Conozca qué es lo que motiva un ciclo de evaluación del desempeño más frecuente y cómo puede ayudar la tecnología.
Published By: Carbonite
Published Date: Oct 10, 2018
There are five essential steps to protecting data and
applications from the most common causes of data loss and
downtime. IT pros who follow these steps can feel confident
in their long-term organizational plan. Read this expert
guide from Ben Maas, an independent consultant and system
architect who has guided many companies through backup
and disaster recovery (BDR) deployments.
Published By: Carbonite
Published Date: Oct 10, 2018
In the last few years, businesses have changed the way they protect data.
Studies show they’re abandoning traditional backup and recovery in favor of disaster recovery as a service (DRaaS).1 With DRaaS, businesses enjoy the luxury of keeping a replica of their data hosted at a remote site that they can fail over to in an emergency—without bearing any of the infrastructure costs or maintenance responsibilities. All infrastructure and maintenance is the responsibility of the provider. Gartner predicts that global DRaaS revenue will reach $3.4 billion by 2019. The firm cited several reasons for the shift:
Published By: Tripp Lite
Published Date: May 15, 2018
A Practical Guide to IDF/MDF Infrastructure Implementation
Once relegated to early adopters and casual home users, VoIP (voice over Internet protocol) has matured. An essential element of any unified communications (UC) system, it is now the standard method of voice communication in business, education, government and healthcare. If your organization has not already migrated to VoIP, the question is not so much if it will, but when. Cost is the primary driver, since the data network performs double duty by carrying voice traffic as well. VoIP also offers capabilities that far exceed traditional phone systems, with unified communication platforms promising to integrate messaging, mobility, collaboration, relationship management, zoned security, intelligent call routing, disaster recovery, video, teleconferencing, status updates and other advanced features.
The transition to VoIP presents a number of challenges, including
assessing the ability of your network to handle not only additio
Big data needs both high availability and protection.
The amount of data created and replicated globally is predicted to increase ten-fold by 2025, according to IDC research. You may be wondering where to store that big data, as well as how to ensure your data is highly available and protected.
In this eBook, explore why cloud-based disaster recovery (DR) improves data availability, eases the processes associated with DR management, and creates a more economically efficient solution for today’s data-driven companies.
Maintaining business continuity is your highest priority.
In today’s commercial landscape, business continuity depends on the efficient, uninterrupted flow of data across the organization – from operations to sales to fulfillment. Even a brief lapse in workload continuity can mean thousands of lost sales opportunities, disruption to production, and compromised customer trust.
The causes of those lapses can range from natural disasters to mechanical failure or human error. You need a data platform and a proactive disaster recovery (DR) strategy that will help you stay up and running in the event that your physical infrastructure is unavailable for any length of time.
Fulfilling orders, providing a high level of customer service, and keeping consumers engaged all depend on the efficient, uninterrupted flow of data throughout your organization.
Above all, protecting customer data—especially personally identifiable information (PII) —is critical
Email is the primary communication system and file transport mechanism used in organizations of all sizes. Email systems generate enormous amounts of content that must be preserved for a variety of reasons, including:
-Compliance with local, state, federal and international statutory requirements
- Electronic discovery requirements and best practices
- Knowledge management applications
- Disaster recovery and business continuity
All those employees who access email, financial systems, human resources, and other core corporate applications; Replay for Exchange continuously protects and monitors the health of your Exchange data stores and allows administrators to quickly search, recover, and analyze mailbox content. With Replay for Exchange you can restore individual email messages, folders, or mailboxes to a live Exchange server or directly to a PST, thereby solving some of your most costly and time consuming challenges. Take advantage of these Free Trial Offer!!
Windows Server 2012 represents a paradigm shift from the traditional client/server model to a new cloud-based infrastructure. Is your business ready? Download this whitepaper to learn the 7 key questions you need to answer now
This SAS and Intel collaborated piece demonstrates the value of modernizing your analytics infrastructure using SAS® software on Intel processing.
Readers will learn:
• Benefits of applying a consistent analytic vision across all functions within the organization to make more insight-driven decisions.
• How IT plays a pivotal role in modernizing analytics infrastructures.
• Competitive advantages of modern analytics.
What if we stopped arguing over which analytics software is best, and decided instead to use them all? With today’s analytics technologies, the conversation about open analytics and commercial analytics is no longer an either/or discussion. You can now combine the benefits of SAS and open source analytics within your organization. Download this e-book to learn how businesses in multiple industries are integrating disparate code and information to deploy models and deliver critical results with analytics.
Despite heavy, long-term investments in data management, data problems at many organizations continue to grow. One reason is that data has traditionally been perceived as just one aspect of a technology project; it has not been treated as a corporate asset. Consequently, the belief was that traditional application and database planning efforts were sufficient to address ongoing data issues.
As our corporate data stores have grown in both size and subject area diversity, it has become clear that a strategy to address data is necessary. Yet some still struggle with the idea that corporate data needs a comprehensive strategy.
There’s no shortage of blue-sky thinking when it comes to organizations’ strategic plans and road maps. To many, such efforts are just a novelty. Indeed, organizations’ strategic plans often generate very few tangible results for organizations – only lots of meetings and documentation. A successful plan, on the other hand, will identify realistic goals along with a r
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.
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
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.
You may know some basics about data management, but do you realize the transformational results data-management-done-right can produce? This paper explains core data management capabilities, then describes how a solid data management foundation can help you get more out of your data. From getting fast, easy access to trustworthy data to making better decisions and becoming a data-driven business, you’ll learn why good data management is essential to success. Multiple real-world examples illustrate how SAS customers have used data management to improve customer experience, boost revenue, remain compliant and become more efficient.