data as service

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Published By: Cisco     Published Date: Jan 05, 2015
Cisco Unified Data Center unifies compute, storage, netw orking, virtualization, and management into a single platform. The result is operational simplicity and business agility -- essential for cloud computing and deploying IT as a Service.
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solution guide, integrate, infrastructure, solutions, applications
    
Cisco
Published By: IBM     Published Date: Jul 27, 2015
Read this issue to learn how to tap into the massive amounts of data and information across your organization.
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cloud-based data management, sustainability energy, future of energy, data analytics, utility analytics, grid optimization, advanced analytics integration, cloud-based services
    
IBM
Published By: HP Data Center     Published Date: Mar 25, 2009
The need for reliable data centers is growing, especially in the small to medium sized business market.  So too is the price of data centers -- both in terms of initial cost and Total Cost of Ownership (TCO) -- as equipment, service and utility costs continue to escalate.  How is a data center manager going to support an IT-based business strategy that hinges on high availability, at a reasonable business cost?  Insource? Outsource? Build? Lease? This presentation looks at the factors driving data centers costs, their impact, how they can be controlled, and how to justify the data center you need.
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data center costs, hp data center, tco, total cost of ownership, price of data centers, it spending, it architecture, insource, outsource, build, lease
    
HP Data Center
Published By: IBM     Published Date: Jan 09, 2014
Simply put, software defined storage is the abstraction of storage services from storage hardware. This term is more than just marketing hype, it’s the logical evolution of storage virtualization from simply being a storage aggregator to the end goal of storage as a service. To achieve this goal, software defined storage needs a platform from which to centralize.
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ibm, storage switzerland, storage platform, sds, software defined storage, data center, storage virtualization, data protection, shared storage, storage capacity, centric systems, high performance databases, storage efficiency, range of solutions, vendor options, volume management, software selection, data service, data management, performance loss
    
IBM
Published By: Avi Networks     Published Date: Mar 06, 2019
Software-defined architectures have transformed enterprises to become more application-centric. With application owners seeking public-cloud-like simplicity and flexibility in their own data centers, IT teams are under pressure to reduce wait times to provision applications. Legacy load balancing solutions force network architects and administrators to purchase new hardware, manually configure virtual services, and inefficiently overprovision these appliances. Simultaneously, new infrastructure choices are also enabling IT teams to re-architect applications into autonomous microservices from monolithic or n-tier constructs. These transformations are forcing organizations to rethink load balancing strategies and application delivery controllers (ADCs) in their infrastructure.
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Avi Networks
Published By: Avi Networks     Published Date: Mar 17, 2016
Software-defined architectures have transformed enterprises to become more application-centric. With application owners seeking public-cloud-like simplicity and flexibility in their own data centers, IT teams are under pressure to reduce wait times to provision applications. Legacy load balancing solutions force network architects and administrators to purchase new hardware, manually configure virtual services, and inefficiently overprovision these appliances. Simultaneously, new infrastructure choices are also enabling applications to be re-architected into autonomous microservices from monolithic or n-tier constructs. These transformations are forcing organizations to rethink load balancing strategies and application delivery controllers (ADCs) in their infrastructure.
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avi networks, load balancing strategy, best practices, software defined architecture, application centric, application performance, application services, application delivery controller, automation
    
Avi Networks
Published By: Equinix     Published Date: Oct 20, 2015
In real estate, the most important factor is location, location, location! Your services are not quite as sensitive to the physical position of your technology, but location certainly can be a pivotal factor in optimizing your service design and service delivery. Ideally, location shouldn’t matter; however, it does have an e?ect on customer experience. When technology services were simpler, location was largely irrelevant, but now the complexity of new services demands a strategy more in line with your BT agenda than your former IT agenda. The e?ects of regulatory, cost, risk, and performance factors will vary based on the physical location of your technology resources. Colocation providers, cloud service providers, and even traditional hosting services o?er plenty of evolving options to help infrastructure and operations (I&O) professionals balance these factors to optimize service design and delivery.
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data center, optimizing service, infrastructure and operations, service design and delivery, cloud service, hosting services
    
Equinix
Published By: Cisco     Published Date: Dec 21, 2016
Self-service analytics implies that users design and develop their own reports and do their own data  analysis with minimal support by IT. Most recently, due to the availability of tools, such as those from Qlik,  Spotfire, and Tableau, self-service analytics has become immensely popular. Besides powerful analytical  and visualization capabilities, they all support functionality for accessing and integrating data sources.  With respect to this aspect of data integration four phases can be identified in the relatively short history  of self-service analytics. This whitepaper describes these four phases in detail and shows how the tools  Cisco Data Preparation (CDP) and Cisco Information Server (CIS) for data virtualization can strengthen and  enrich the self-service data integration capabilities of tools for reporting and analytics.  
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Cisco
Published By: Delphix     Published Date: Apr 14, 2015
Current test data management solutions are flawed in at least one key dimension. Technologies in the emerging Data as a Service (DaaS) category bring the benefits of virtualization to application data, delivering high-quality test data with both speed and efficiency.
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Delphix
Published By: Success Factors     Published Date: Jul 02, 2013
SuccessFactors Employee Central provides a single employee global system of record that is deployed in the cloud and brings greater workforce visibility to small and medium-size businesses. HR can quickly integrate workforce data from the SuccessFactors BizX Suite of talent management solutions – including Performance and Goals, Compensation, Learning and more, as well as from third-party systems, such as payroll, benefits, and time and attendance. Employees can use the Employee Central self-service features to update their personal information, while managers can easily change employee information such as promotions, salary changes, terminations and more with customized approval workflows. The result: An integrated 360-degree view of the workforce that HR can access through standard and ad-hoc reports to make fast, informed decisions based on consistent, up-to-date data. To learn more, download the SuccessFactors Employee Central business brief for small to medium-size businesses
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successfactors, employee, central core, hris, hr quick guide
    
Success Factors
Published By: Group M_IBM Q2'19     Published Date: Apr 03, 2019
Data is the lifeblood of business. And in the era of digital business, the organizations that utilize data most effectively are also the most successful. Whether structured, unstructured or semi-structured, rapidly increasing data quantities must be brought into organizations, stored and put to work to enable business strategies. Data integration tools play a critical role in extracting data from a variety of sources and making it available for enterprise applications, business intelligence (BI), machine learning (ML) and other purposes. Many organization seek to enhance the value of data for line-of-business managers by enabling self-service access. This is increasingly important as large volumes of unstructured data from Internet-of-Things (IOT) devices are presenting organizations with opportunities for game-changing insights from big data analytics. A new survey of 369 IT professionals, from managers to directors and VPs of IT, by BizTechInsights on behalf of IBM reveals the challe
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Group M_IBM Q2'19
Published By: Automation Anywhere     Published Date: Feb 21, 2019
Automation Anywhere’s flagship product is Automation Anywhere Enterprise – a RPA platform offering a variety of tools to help organisations develop, operate and manage RPA bots that automate data entry, data gathering and other repetitive, routine tasks usually carried out as part of high-volume, repetitive work (for example, service fulfilment work in call centres, shared-service centres, and back-office processing environments). Automation Anywhere Enterprise bots can add value both in unattended (server-based, lights-out operation) and attended (desktop-based, interactive) deployment configurations. In this report, MWD Advisors digs deeper into the features and capabilities of Automation Anywhere’s product portfolio, analysing its fast-growth trajectory and highlighting large-scale implementations.
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Automation Anywhere
Published By: ClearSlide, Inc     Published Date: Feb 25, 2015
Organizations treat customer data as a key component of CRM. Many organizations see an effective customer data management strategy as an important cornerstone of their CRM strategy. Most organizations are moving beyond tactical CRM initiatives focused on saving cost and driving efficiency to making their organization more effective and focused on driving better customer engagement and experience. Customer data is used to enhance customer experiences, improve service quality, target marketing efforts, capture customer sentiment, increase upsell opportunities and trigger product and service innovation.
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crm, big data, customer engagement, customer service, emerging marketing, crm & customer care, marketing research
    
ClearSlide, Inc
Published By: SAS     Published Date: Apr 25, 2017
Organizations in pursuit of data-driven goals are seeking to extend and expand business intelligence (BI) and analytics to more users and functions. Users want to tap new data sources, including Hadoop files. However, organizations are feeling pain because as the data becomes more challenging, data preparation processes are getting longer, more complex, and more inefficient. They also demand too much IT involvement. New technology solutions and practices are providing alternatives that increase self-service data preparation, address inefficiencies, and make it easier to work with Hadoop data lakes. This report will examine organizations’ challenges with data preparation and discuss technologies and best practices for making improvements.
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SAS
Published By: ASG Software Solutions     Published Date: Jun 09, 2009
Improved business productivity often requires more efficient IT and more efficient IT cannot be achieved without a better understanding of the way business services are run and delivered. Configuration Management Databases (CMDBs) have emerged as a central component for Information Technology Infrastructure Library (ITIL) and business service management (BSM).
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asg, cmdb, bsm, itil, bsm, metacmdb, configuration management, metadata, metacmdb, lob, sdm, service dependency mapping, ecommerce, bpm, workflow, itsm, critical application, cms, itsm
    
ASG Software Solutions
Published By: VMware, Inc     Published Date: Dec 05, 2013
Organizations worldwide are using virtual desktop infrastructure (VDI) to run virtual desktops in the datacenter and deliver these to employees as a managed service. End users gain a familiar, personalized environment they can access anywhere from any device, while administrators gain control and security. With VMware® Horizon View™ (formerly VMware View), IT professionals can implement a VDI infrastructure to help drive down operational costs, enhance security, and support a mobile workforce.
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vmware, vmware horizon view, virtual desktop infrastructure, virtual desktops, vdi, datacenter
    
VMware, Inc
Published By: Cisco     Published Date: Jan 15, 2015
While this dramatic growth occurs, projections call for the cloud to account for nearly two-thirds of data center traffic and for cloud-based workloads to quadruple over traditional servers. That adds another element to the picture: changing traffic patterns. Under a cloud model, a university, for example, can build its network to handle average traffic volumes but then offload data on heavier trafficked days to a public cloud service when demand dictates, such as when it’s time to register for the next semester of classes.
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cloud, growth, traffic, projection, account, network
    
Cisco
Published By: IBM     Published Date: Jul 18, 2016
In this report, you will be able to answer the following: - What’s the value of a managed service & why should developers care about it? - Why is a managed service preferred over DIY management? - How does a managed service give you back hours in your day?
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ibm, analytics, dbaas, database as a service, developers, applications
    
IBM
Published By: CloudHealth by VMware     Published Date: Aug 22, 2019
Regardless of whether your data resides on-premises, in the cloud, or a combination of both, you are vulnerable to security threats, data breaches, data loss, and more. Security is often cited as a concern for organizations who are migrating to the public cloud, but the belief that the public cloud is not secure is a myth. In fact, the leading public cloud service providers have built rigorous security capabilities to ensure that your applications, assets, and services are protected. Security in the public cloud is now becoming a driver for many organizations, but in a rapidly evolving multicloud environment, you must keep up with changes that might impact your security posture. This eBook outlines the three core recommendations for cloud security across Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform.
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CloudHealth by VMware
Published By: CloudHealth by VMware     Published Date: Aug 22, 2019
Regardless of whether your data resides on-premises, in the cloud, or a combination of both, you are vulnerable to security threats, data breaches, data loss, and more. Security is often cited as a concern for organizations who are migrating to the public cloud, but the belief that the public cloud is not secure is a myth. In fact, the leading public cloud service providers have built rigorous security capabilities to ensure that your applications, assets, and services are protected. Security in the public cloud is now becoming a driver for many organizations, but in a rapidly evolving multicloud environment, you must keep up with changes that might impact your security posture. This eBook outlines the three core recommendations for cloud security across Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform.
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CloudHealth by VMware
Published By: CloudHealth by VMware     Published Date: Sep 05, 2019
Regardless of whether your data resides on-premises, in the cloud, or a combination of both, you are vulnerable to security threats, data breaches, data loss, and more. Security is often cited as a concern for organizations who are migrating to the public cloud, but the belief that the public cloud is not secure is a myth. In fact, the leading public cloud service providers have built rigorous security capabilities to ensure that your applications, assets, and services are protected. Security in the public cloud is now becoming a driver for many organizations, but in a rapidly evolving multicloud environment, you must keep up with changes that might impact your security posture. This eBook outlines the three core recommendations for cloud security across Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform.
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CloudHealth by VMware
Published By: IBM     Published Date: Oct 13, 2009
The modern data center has to keep pace with business growth, without outgrowing its physical space. It must meet customer demands, while containing operating costs. The solution lies in a scalable, modular data center-turnkey, high-density, energy-efficient and able to be deployed quickly. Discover how a number of industries have put this concept to work to provide better service and cut costs.
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energy-efficient data centers, ibm, scalable modular data center, it infrastructure, smdc, server consolidation, computing capacity
    
IBM
Published By: Dell EMC     Published Date: Feb 14, 2019
Artificial intelligence (AI) is a transformative technology that will change the way organizations interact and will add intelligence to many products and services through new insights currently hidden in vast pools of data. In 2017 alone, venture capitalists invested more than $11.7 billion in the top 100 Artificial Intelligence startups, according to CB Insights1, and the breadth of Artificial Intelligence applications continues to grow. While human-like intelligence will remain the stuff of novels and movies for the near future, most organizations can and should explore practical Artificial Intelligence projects. This technology has the potential to: • Improve productivity of internal applications • Increase revenue through enhanced customer interacton and improved customer acquisiiton • Reduce costs by optimizing operations • Enhance products and services with "smart" functionality such as vision and voice interaction and control This paper provided by Dell and Intel® gives executi
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Dell EMC
Published By: Dell EMC & Intel     Published Date: Sep 06, 2018
Datacenter improvements have thus far focused on cost reduction and point solutions. Server consolidation, cloud computing, virtualization, and the implementation of flash storage capabilities have all helped reduce server sprawl, along with associated staffing and facilities costs. Converged systems — which combine compute, storage, and networking into a single system — are particularly effective in enabling organizations to reduce operational and staff expenses. These software-defined systems require only limited human intervention. Code imbedded in the software configures hardware and automates many previously manual processes, thereby dramatically reducing instances of human error. Concurrently, these technologies have enabled businesses to make incremental improvements to customer engagement and service delivery processes and strategies.
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Dell EMC & Intel
Published By: Cisco EMEA     Published Date: Nov 08, 2018
Digital transformation (DX) — a technology-driven business strategy — enables firms to gain or expand their competitive differentiation by embracing data-driven decision-making processes, whether for increasing operational efficiencies, developing new products and services, increasing customer satisfaction and retention, or getting a better intelligence on the market. Big Data and analytics (BDA) applications form the foundation for enterprisewide digital transformation initiatives. To find out more download this whitepaper today.
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Cisco EMEA
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