application performance analytics

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Published By: IBM     Published Date: Mar 28, 2016
Analytics has permeated, virtually, every department within an organization. It’s no longer a ‘nice to have’. It’s an organizational imperative. HR, specifically, collects a wealth of data; from recruiting applications, employee surveys, performance management data and it sits in systems that remain largely untapped. This data can help drive strategic decisions about your workforce. Analytic tools have, historically, been difficult to use and required heavy IT lifting in order to get the most out of them. What if an analytics system learned and continue to learn as it experienced new information, new scenarios, and new responses. This is referred to as Cognitive Computing and is key to providing an analytics system that is easy to use but extremely powerful.
Tags : 
ibm, talent analytics, kenexa talent insights, workforce science, talent insights, human resource technology
    
IBM
Published By: IBM     Published Date: Jun 13, 2016
Analytics has permeated, virtually, every department within an organization. It’s no longer a ‘nice to have’. It’s an organizational imperative. HR, specifically, collects a wealth of data; from recruiting applications, employee surveys, performance management data and it sits in systems that remain largely untapped. This data can help drive strategic decisions about your workforce. Analytic tools have, historically, been difficult to use and required heavy IT lifting in order to get the most out of them. What if an analytics system learned and continue to learn as it experienced new information, new scenarios, and new responses. This is referred to as Cognitive Computing and is key to providing an analytics system that is easy to use but extremely powerful.
Tags : 
ibm, talent acquisition, talent acquisition technology, human resources, recruiting, talent acquisition technology
    
IBM
Published By: IBM     Published Date: Jul 20, 2016
Analytics has permeated, virtually, every department within an organization. It’s no longer a ‘nice to have’. It’s an organizational imperative. HR, specifically, collects a wealth of data; from recruiting applications, employee surveys, performance management data and it sits in systems that remain largely untapped. This data can help drive strategic decisions about your workforce. Analytic tools have, historically, been difficult to use and required heavy IT lifting in order to get the most out of them. What if an analytics system learned and continue to learn as it experienced new information, new scenarios, and new responses. This is referred to as Cognitive Computing and is key to providing an analytics system that is easy to use but extremely powerful.
Tags : 
ibm, talent acquisition, talent acquisition technology, human resources, recruiting, talent acquisition technology, human resource technology
    
IBM
Published By: IBM     Published Date: Jan 09, 2014
Forward-thinking organizations are recognizing the superiority of Power Systems* technology. The Power Systems family offers the ultimate system for today’s compute intensive business applications and databases. “Power Systems continues to prove itself as the ultimate system for compute intensive workloads, high performance analytics, high performance UNIX*, and high performance computing.
Tags : 
ibm, ibm power systems, analytics, power 7, big data, decision making, power systems, virtualization, analytical applications, business intelligence
    
IBM
Published By: IBM     Published Date: Nov 06, 2014
IBM's Application Performance Management solutions, long known as a best of breed solutions for managing traditionally hosted enterprise applications, is extending its capabilities for new deployment paradigms.
Tags : 
roi, application performance, business analytics, deployment paradigms, it management, knowledge management, enterprise applications, data management
    
IBM
Published By: Riverbed     Published Date: Jan 28, 2014
Application performance management helps deliver the application performance users and the business demand. Effectively monitoring and troubleshooting application performance issues requires a comprehensive solution.
Tags : 
riverbed, cascade network performance management, application performance management, application performance issues, end-user experience monitoring, it visibility, deep component monitoring, network infrastructure, big data analytics, it efficiency, wan optimization technologies, it management, business intelligence, business technology
    
Riverbed
Published By: Dell Software     Published Date: May 05, 2014
This ENTERPRISE MANAGEMENT ASSOCIATES® (EMATM) Impact Brief details the new capabilities and positions this release within a broader industry APM story.
Tags : 
dell software, dell, dell foglight, foglight, apm, application performance mangement, virtual applications, cloud computing, cloud applications, web analytics, big data, virtualization
    
Dell Software
Published By: Riverbed     Published Date: Sep 05, 2014
As enterprises have embraced IT trends like cloud computing and virtualization, their operational needs have evolved to make application performance more important than ever before. But operating applications at peak performance is challenging in the cloud. That's why many enterprise IT departments now have Applications Operations groups tasked with ensuring that applications run efficiently across these complex IT stacks. But, most tools designed to address these application performance management (APM) issues were never designed for this dynamic environment. To achieve smooth delivery of applications at all times, Applications Operations groups need APM solutions that can give them insight and analytics to manage their apps. This SlashGuide gives IT managers a scorecard to identify APM solutions that will deliver more efficient application performance.
Tags : 
apm, applications, operations, enterprise, stacks, dynamic
    
Riverbed
Published By: Hewlett Packard Enterprise     Published Date: Jul 18, 2018
"Learn how predictive analytics and machine learning can help optimize application performance and meet the needs of the business with Nimble Storage Infosight. This ESG report highlights: • Optimal application performance and delivery is difficult to achieve in complex environments. • Many IT infrastructure and operations teams are stretched to the breaking point. • Predictive analytics and machine learning can be applied to great effect."
Tags : 
    
Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jul 18, 2018
"This research by Nimble Storage, a Hewlett Packard Enterprise Company, outlines the top five causes of application delays. The report analyzes more than 12,000 anonymized cases of downtime and slow performance. Read this report and find out: -Top 5 causes of downtime and poor performance across the infrastructure stack -How machine learning and predictive analytics can prevent issues -Steps you can take to boost performance and availability "
Tags : 
    
Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jul 18, 2018
Applications are the engines that drive today’s digital businesses. When the infrastructure that powers those applications is difficult to administer, or fails, businesses and their IT organizations are severely impacted. Traditionally, IT assumed much of the responsibility to ensure availability and performance. In the digital era, however, the industry needs to evolve and reset the requirements on vendors. HPE Nimble Storage has broken away from convention and transformed how storage is managed and supported with the HPE InfoSight predictive analytics platform. HPE engaged ESG to conduct a quantitative survey of the HPE Nimble Storage installed base, as well as non-HPE Nimble Storage customers, to better assess how HPE InfoSight positively impacts customer environments. Both HPE InfoSight telemetry data and ESG’s quantitative survey data show that the benefit delivered to HPE Nimble Storage customers is significant, driving: • 79% lower IT operational expenses. • 73% fewer trouble ti
Tags : 
    
Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jul 18, 2018
"Learn how predictive analytics and machine learning can help optimize application performance and meet the needs of the business with Nimble Storage Infosight. This ESG report highlights: • Optimal application performance and delivery is difficult to achieve in complex environments. • Many IT infrastructure and operations teams are stretched to the breaking point. • Predictive analytics and machine learning can be applied to great effect."
Tags : 
    
Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jul 18, 2018
Applications are the engines that drive today’s digital businesses. When the infrastructure that powers those applications is difficult to administer, or fails, businesses and their IT organizations are severely impacted. Traditionally, IT assumed much of the responsibility to ensure availability and performance. In the digital era, however, the industry needs to evolve and reset the requirements on vendors. HPE Nimble Storage has broken away from convention and transformed how storage is managed and supported with the HPE InfoSight predictive analytics platform. HPE engaged ESG to conduct a quantitative survey of the HPE Nimble Storage installed base, as well as non-HPE Nimble Storage customers, to better assess how HPE InfoSight positively impacts customer environments. Both HPE InfoSight telemetry data and ESG’s quantitative survey data show that the benefit delivered to HPE Nimble Storage customers is significant, driving: • 79% lower IT operational expenses. • 73% fewer trouble ti
Tags : 
    
Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jul 18, 2018
"This research by Nimble Storage, a Hewlett Packard Enterprise Company, outlines the top five causes of application delays. The report analyzes more than 12,000 anonymized cases of downtime and slow performance. Read this report and find out: -Top 5 causes of downtime and poor performance across the infrastructure stack -How machine learning and predictive analytics can prevent issues -Steps you can take to boost performance and availability "
Tags : 
    
Hewlett Packard Enterprise
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