APPLICATION ANALYTICS. Cross-stack analysis of the user experience for critical SaaS, unified communications and custom enterprise applications

Transcription

1 USER APPLICATION ANALYTICS Cross-stack analysis of the user experience for critical SaaS, unified communications and custom enterprise applications

2 USER APPLICATION ANALYTICS Nyansa user application analytics (UAA) uniquely formulates a complete picture of end-user application experience, using metrics to automatically quantify the impact of lost client hours on business productivity. By analyzing and correlating every client network transaction, from access to application, UAA delivers unprecedented insight into real-time and historic behavior of applications measuring every user s experience on an end-to-end basis across the entire OSI network stack. With UAA, organizations can now quickly and easily improve user productivity, justify application investments, and understand adoption trends while ensuring the best possible user application experience. FIGURE 1 Network application summary page details application metrics by user, traffic, device and incident. MAXIMIZING THE QUALITY OF USER EXPERIENCE UAA analyzes every user s quality of experience from the moment they connect and all the way through application access, allowing predictive remediation and planning based on actual user traffic, application behavior and real network service trends. QUANTIFYING LOST USER PRODUCTIVITY As user incidents occur, UAA automatically identifies and lists the most affected clients, detailing the number of client hours lost. This gives enterprises quantitative justification of the direct financial impact of application issues on business productivity. SAAS, UC, WI-FI CALLING AND CUSTOM APP SUPPORT UAA supports hundreds of cloud-based SaaS, Wi-Fi calling, and UC, applications such as Cisco s Unified Communications Manager and Skype for Business. Additionally, IT staff can define an unlimited number of custom applications to be measured and tracked. BEYOND APPLICATION RESPONSE TIMES At the same time application response times are measured for each client, UAA correlates other essential metrics such as Wi-Fi performance, network service details and client device behavior to deliver a true

3 VOYANCE USER APPLICATION ANALYTICS AT A GLANCE Search clients, apps an ACME Support Clients had poor Cisco UCM Experience Analysis Benchmark Trends FILTERS Clients had poor Cisco UCM 4 Baseline Experience % of clients affected 60% 50% A 1 Last Two Weeks No Filter Selected 40% Split baseline: wired, wireless 30% 20% 10% MOST IMPACTED Most affected locations 5 0% Wed 15 Thu 16 Fri 17 Sat 18 Jun 19 Mon 20 Tue 21 Wed 22 9th Floor 19 of 337 clients 60% Root Cause Analysis 2 View Annotations Common Root Cause Next Steps Client Properties Client and/or non-network issue. 1 Client and/or non-network issue. AP AP09Z0F99ZF 11th Floor 22% 12th Floor 8% 4th Floor 5% 1st Floor 2% Most affected SSIDs Guest 19% Cafeteria 12% Thunderbolt Theatre 8% CUCM Abnormal Calls Network MOS Degradation CUCM Max RTT CUCM Max Jitter CUCM Max Packet Loss Listen MOS Session Min L2 Rx Retransmit Building B 4% Lab 3% « » 1 of 4 Root Causes Most affected Device OS Windows 10 19% Most A Clients ected Clients User Name bmcdonal 3 Hours Affected 168 OS X % Android 4.4 8% ios 4.1 4% Client X 3% hqw7nb990 DNC_AD\Mrochwar 108 hqw7nb0405 hqw7nb094 DNC_AD\DSeitz host/hqw7nb094.ad.dncinc.com Automatic baseline experience of each application by % of affected users Full stack root cause analysis of incidents and next step remediation suggestions Most affected clients by user name and number of client hours affected Rich filtering by application type, incident, time window Application incidents by most affected location, SSIDs, RF bands, and client device OS

4 end-to-end view of every user s application experience. performance was like by specific locations, sites, SSIDs RF bands, or different device types. AUTOMATIC APPLICATION BASELINING UAA automatically generates baselines for every application based on the percentage of clients affected. These baselines can be annotated to quantify the impact of any network change or compared by location, by site or industry benchmark. CROSS-DIMENSIONAL APPLICATION ANALYSIS With UAA, applications are measured and analyzed within the context of the entire client network experience. This allows IT staff to know what application FIGURE 2 Network application summary page details application metrics by user, traffic, device and incident.

5 USER APPLICATION ANALYTICS BENEFITS UAA ANSWERS CRITICAL USER APPLICATION QUESTIONS Which users are accessing specific applications over a select period of time? How was the quality of application experience for a given client device? How many total client-hours of poor user app experience did the company see? How does user app experience vary with RF-band, SSID, location, device type, etc.? Where exactly is the problem? Is it Wi-Fi, device/os, infrastructure or the app itself? RF-band, SSID, location, device type, etc.? How does my UC performance compare to UC at other similar environments? Where exactly is the problem? Is it Wi-Fi, device/os, infrastructure or the app itself? What remediation can I apply to my network to alleviate user application issues? What difference would it make to app performance, if I were to upgrade my Wi-Fi network? KEY FEATURES End-to-end full-stack analysis of every user s experience for hundreds of SaaS, UC and custom applications Quantifiable client hours lost per application incident Granular per user, application and systemic root cause analysis and remediation next steps Unlimited number of custom defined, measured and tracked enterprise applications Cross- site, location or company comparative industry benchmarking Automatic baselines for every application with the percentage of affected clients Cross-dimensional user application quality of experience by location, site, RF Band, SSID, or client device type Customizable reports and rich filtering for any application across multiple dimensions (location, time, SSID, etc.) Detailed UC call metrics such as MOS scores, call quality, duration, jitter and response times Per user and aggregate traffic summaries for every application Powerful intuitive and summarized analytics and visualization