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Published By: Hewlett Packard Enterprise     Published Date: Oct 23, 2017
Midsized firms operate in the same hypercompetitive, digital environment as large enterprises—but with fewer technical and budget resources to draw from. That’s why it is essential for IT leaders to leverage best-practice processes and models that can help them support strategic business goals such as agility, innovation, speed-tomarket, and always-on business operations. A hybrid IT implementation can provide the infrastructure flexibility to support the next generation of high-performance, data-intensive applications. A hybrid foundation can also facilitate new, collaborative processes that bring together IT and business stakeholders.
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digital environment, hyper competitive, business goals, hybrid it, technology, hpe
    
Hewlett Packard Enterprise
Published By: Freshdesk     Published Date: Aug 15, 2016
When 76% of consumers say they view customer service as the true test of how much a company values them, you have to make sure that your strategy, and tool, are top notch. Here's a collection of best practices, drawn from our conversations with customers, to help you improve your agents' productivity and win customer love. In this whitepaper, we detail how you can - Provide your agents with complete context by pulling data from your third party systems into your helpdesk - Reduce ticket volume and help customers help themselves by setting up a knowledge base - Automatically assign tickets to the right team with ease thus reducing your agent's workload and many more!
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Freshdesk
Published By: Cisco     Published Date: Dec 04, 2015
Cisco Catalyst 3650 Test Results and Business Outcomes
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business outcome, test, results, raw data, hands- on testing, bottom line, networking
    
Cisco
Published By: SAS     Published Date: Jan 17, 2018
The Industrial Internet of Things (IIoT) is flooding today’s industrial sector with data. Information is streaming in from many sources — equipment on production lines, sensors at customer facilities, sales data, and much more. Harvesting insights means filtering out the noise to arrive at actionable intelligence. This report shows how to craft a strategy to gain a competitive edge. It explains how to evaluate IIoT solutions, including what to look for in end-to-end analytics solutions. Finally, it shows how SAS has combined its analytics expertise with Intel’s leadership in IIoT information architecture to create solutions that turn raw data into valuable insights.
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SAS
Published By: Dell EMC     Published Date: Nov 04, 2016
As organizations continue to virtualize their infrastructures to gain higher levels of operational efficiency, VM sprawl and resource utilization are two key factors that can quickly create havoc for IT admins. In resource-siloed infrastructures, where multiple administrators are in charge of different pieces of the infrastructure, complexity continues to grow as mission-critical data sets and organizations grow. This is especially true in dynamic, mission-critical environments, where one wrong move or lack thereof could significantly impact an application, the end-user experience, or worst case, company revenue. The impact of hyper-converged infrastructures on IT has been profound. In fact, 85% of respondents to a recent ESG survey already use or plan to use a hyper-converged solution in the coming months. Though that number appears high, it is not all that surprising. ESG also asked organizations to identify which factors drove them to deploy or considering deploying a hyper-conv
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ubuntu, performance, windows, hyper-convergence
    
Dell EMC
Published By: SAS     Published Date: Oct 22, 2015
The Internet of Things (IoT) presents an opportunity to collect real-time information about every physical operation of a business. From the temperature of equipment to the performance of a fleet of wind turbines, IoT sensors can deliver this information in real time. There is tremendous opportunity for those businesses that can convert raw IoT data into business insights, and the key to doing so lies within effective data analytics. To research the current state of IoT analytics, Blue Hill Research conducted deep qualitative interviews with three organizations that invested significant time and resources into their own IoT analytics initiatives. By distilling key themes and lessons learned from peer organizations, Blue Hill Research offers our analysis so that business decision makers can ultimately make informed investment decisions about the future of their IoT analytics projects.
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SAS
Published By: Dell EMC     Published Date: Feb 23, 2017
As organizations continue to virtualize their infrastructures to gain higher levels of operational efficiency, VM sprawl and resource utilization are two key factors that can quickly create havoc for IT admins. In resource-siloed infrastructures, where multiple administrators are in charge of different pieces of the infrastructure, complexity continues to grow as mission-critical data sets and organizations grow. This is especially true in dynamic, mission-critical environments, where one wrong move or lack thereof could significantly impact an application, the end-user experience, or worst case, company revenue.
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Dell EMC
Published By: Akamai Technologies     Published Date: Mar 09, 2017
For many financial institutions, traffic from bots (aggregators, scrapers, crawlers) can account for up to 40-60% of their overall website traffic — from good bots engaged in essential business tasks to bad bots performing harmful activities. Banks, traders, asset managers, and insurers might know how much of their traffic is from bots, but what they may not know is the impact those bots may be having on their business. Read the report to learn more about: • Managing Financial Data Aggregators • How Bots Affect the Digital Experience • What a good bot looks like?
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financial services, financial data, bots, bot management, website traffic, the digital experience
    
Akamai Technologies
Published By: Adobe     Published Date: Nov 07, 2013
Aberdeen's Insights provide the analyst's perspective on the research as drawn from an aggregated view of research surveys, interviews, and data analysis.
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adobe, aberdeen group, analyst insight, technology tools, buying behavior, customer experience management, cem, buyer interactions, customer engagement programs, adobe customers outperform, company brand awareness, big data, structured data, data quality, data integration, customer segmentation, customer empowerment
    
Adobe
Published By: Dell EMC     Published Date: Nov 02, 2015
XtremIO reduces datacenter footprint and complexity with unstoppable in-line data reduction capabilities which address storage sprawl for Exchange databases. Thin provisioning doesn’t just eliminate space at the end of the drive, it eliminates all of the whitespace found within the database!
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emc, xtremio, server, data center, knowledge management, data management
    
Dell EMC
Published By: Workday UK     Published Date: Jan 31, 2019
Read now to learn about three key steps drawn from the “2018 Deloitte Global Human Capital Trends” report that emerging organisations can take to attract and retain top talent, including: Redefining careers Creating more personalised performance enablement to boost employee engagement Using data-driven technology and analytics to enhance business value
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workday, workforce technology, digital strategy
    
Workday UK
Published By: IBM     Published Date: Jul 26, 2017
Every day, torrents of data inundate IT organizations and overwhelm the business managers who must sift through it all to glean insights that help them grow revenues and optimize profits. Yet, after investing hundreds of millions of dollars into new enterprise resource planning (ERP), customer relationship management (CRM), master data management systems (MDM), business intelligence (BI) data warehousing systems or big data environments, many companies are still plagued with disconnected, “dysfunctional” data—a massive, expensive sprawl of disparate silos and unconnected, redundant systems that fail to deliver the desired single view of the business. To meet the business imperative for enterprise integration and stay competitive, companies must manage the increasing variety, volume and velocity of new data pouring into their systems from an ever-expanding number of sources. They need to bring all their corporate data together, deliver it to end users as quickly as possible to maximize
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scalability, data warehousing, resource planning
    
IBM
Published By: Workday     Published Date: Feb 04, 2019
"Read now to learn about three key steps drawn from the “2018 Deloitte Global Human Capital Trends” report that emerging organisations can take to attract and retain top talent, including: ? Redefining careers ? Creating more personalised performance enablement to boost employee engagement ? Using data-driven technology and analytics to enhance business value "
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workday, workforce technology, digital strategy
    
Workday
Published By: Pure Storage     Published Date: Jan 12, 2018
Interest in machine learning has exploded over the past decade. You see machine learning in computer science programs, industry conferences, and the Wall Street Journal almost daily. For all the talk about machine learning, many conflate what it can do with what they wish it could do. Fundamentally, machine learning is using algorithms to extract information from raw data and represent it in some type of model. We use this model to infer things about other data we have not yet modeled. Neural networks are one type of model for machine learning; they have been around
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learning machines, automated intelligence, scalars, vectors, mathematics, classification, pure storage
    
Pure Storage
Published By: Gigamon EMEA     Published Date: Feb 20, 2019
Download “How to Strengthen Security While Optimizing Network Performance” to see how next-generation network packet brokers (NGNPBs) mitigate security tool sprawl, simplify IT management and improve network availability. NGNPBs help align network and security teams by creating a single view of network infrastructure and data management. See why you should shift your infrastructure strategy toward NGNPBs to boost efficiency and reduce complexity. Learn more by downloading this new research now.
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Gigamon EMEA
Published By: HP - Enterprise     Published Date: Jun 04, 2013
Businesses are overwhelmed with data; it’s a blessing and a curse. A curse because it can overwhelm traditional approaches to storing and processing it. A blessing because the data promises business insight that never existed earlier. The industry has spawned a new term, “big data,” to describe it. Now, IT itself is overwhelmed with its own big data. In the press to roll out new services and technologies—mobility, cloud, virtualization—applications, networks, and physical and virtual servers grow in a sprawl. With them comes an unprecedented volume of data such as logs, events, and flows. It takes too much time and resources to sift through it, so most of it lies unexplored and unexploited. Yet like business data, it contains insight that can help us solve problems, make decisions, and plan for the future.
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data research, big data, virtualization, applications, networks
    
HP - Enterprise
Published By: Viavi Solutions     Published Date: Jul 21, 2017
Rapid increases in network traffic volumes, security threats and application complexity all underscore the importance for lossless data capture, analysis and storage to provide crucial raw data for post event analysis and remediation. Viavi commissioned Tolly to evaluate the performance of its Observer GigaStor family of capture, analysis, and storage solutions. Specifically the tests that focuses on bench marking maximum sustained full packet capture/write rates and greatest burst performance with no packet loss while delivered robust encryption of stored network data.
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ethernet, service troubleshooting, storage solutions, stored network data, network traffic, security threats, network analysis, write data
    
Viavi Solutions
Published By: Pure Storage     Published Date: Nov 02, 2017
To stay relevant in today’s competitive, digitally disruptive market, and to stay ahead of your competition, you have to do more than just store, extract, and analyze your data — you have to draw the true business value out of it. Fail to evolve, and your organization might be left behind as companies ramp up and speed up their competitive, decision-making environments. This means deploying cost-effective, energy-efficient solutions that allow you to quickly mine and analyze your data for valuable information, patterns, and trends, which in turn can enable you to make faster ad-hoc decisions, reduce risk, and drive innovation.
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storage solutions, pure storage, oracle, analytics, business value, innovation, risk reduction
    
Pure Storage
Published By: Gigamon     Published Date: Dec 13, 2018
Perimeter-based solutions for network security do not work, leading to tool sprawl and performance issues. Read CSO Magazine’s interview with Gigamon CISO, Simon Gibson, to learn why a new, more intelligent approach is needed to build resilience into technology operations. “Security Should Be an Enabler” talks about an architectural approach that distributes only relevant data to appropriate tools, enabling an adaptable, simplified model at a reduced cost. Read now.
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Gigamon
Published By: Gigamon     Published Date: Dec 13, 2018
Read “How to Strengthen Security While Optimizing Network Performance” to see how next-generation network packet brokers (NGNPBs) mitigate security tool sprawl, simplify IT management and improve network availability. NGNPBs help align network and security teams by creating a single view of network infrastructure and data management. See why you should shift your infrastructure strategy toward NGNPBs to boost efficiency and reduce complexity. Learn more by reading this new research now.
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Gigamon
Published By: Gigamon     Published Date: Mar 26, 2019
Download “How to Strengthen Security While Optimizing Network Performance” to see how next-generation network packet brokers (NGNPBs) mitigate security tool sprawl, simplify IT management and improve network availability. NGNPBs help align network and security teams by creating a single view of network infrastructure and data management. See why you should shift your infrastructure strategy toward NGNPBs to boost efficiency and reduce complexity. Learn more by downloading this new research now.
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Gigamon
Published By: IBM     Published Date: May 16, 2016
The data-driven organization is the new benchmark for success. Firms that harness data to dictate strategic and tactical decisions companywide make more informed business plans, better optimize operations, improve customer interactions, and provide competitive edge. To achieve these benefits, organizations increasingly see data refinement - transforming raw data from various sources into relevant and actionable information and delivering it through self - service access to any user who needs it - as the path toward success by helping break though immature processes and legacy systems. However, data refinement only functions as well as the strategies and approaches behind it. Organizations that do not understand the right way to embrace refinement will fail to catch up to competitors that have mastered the correct approach.
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ibm, forrester, data-driven organization, data, analytics, analytic architecture, data management
    
IBM
Published By: McAfee     Published Date: Sep 15, 2014
With networks sprawling to massive proportions and malicious activity hitting hard, fast, and constantly evolving, situational awareness is more vital than ever in keeping your network secure. Situational awareness refers to the continuous monitoring of your network by analyzing bulk data collected from sources across the board. In other words, it delivers a detailed overview of all areas of your network so you know exactly what’s going on through increased visibility and response capabilities.
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best practices, network security, it security, security management, threat response, hacker detection
    
McAfee
Published By: NetApp     Published Date: Feb 19, 2015
As business requirements drive the need for a hybrid cloud strategy, companies must determine how best to run their applications and manage their data—whether in their private data center, near the cloud, or in the cloud. Hyperscale cloud providers offer excellent flexibility by allowing customers to buy raw resources in a consumption model by the hour. NetApp® has released a new way of deploying the cluster Data ONTAP® operating system that runs on hyperscale resources, that when combined with NetApp Private Storage for Cloud, offers customers superior choice in how they manage their cloud storage.
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NetApp
Published By: Dell EMC     Published Date: Aug 03, 2015
XtremIO reduces datacenter footprint and complexity with unstoppable in-line data reduction capabilities which address storage sprawl for Exchange databases. Thin provisioning doesn’t just eliminate space at the end of the drive, it eliminates all of the whitespace found within the database!
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data reduction, deployment approaches, emc, exchange server, database availability, compression, cloud infrastructure, datacenter footprint reduction
    
Dell EMC
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