Category Archives: End User Analytics

Have a Question? Ask SysTrack

The overarching theme of all the content we’ve created here has been trying make it easier to find interesting data and allow organizations to engage in intuitive information seeking behavior. If there’s anything the outgrowth of chat based interfaces has taught us, though, it’s that often the most meaningful way to bring the answers that users need to them it’s to allow them to craft their own questions in their own terms. So, the logical evolution here is to introduce a method to make it easier to get answers out of SysTrack with simple, natural language.

This is why Lakeside Software has partnered with IBM to use their Watson cognitive API library to introduce Ask SysTrack. This Natural Language Processing (NLP) question tool allows anyone to ask questions they may have for the SysTrack Workspace Analytics platform in basic, conversational form.

For example, say I want to find what my most heavily faulting application is. I can ask a simple question: “What application faults the most?”

ApplicationFaultsQuestion

Just asking that question gives me the most heavily faulting applications in order and even some other related things for me to look into if I’m interested.

Let’s say I wanted to find out specifically what’s wrong with a system.

Specific System Problems

Again, with a simple question I have the ability to know what this user has been having problems with lately.

With GA of SysTrack 8.2 this feature is now available for anyone, and I’d encourage you to check it out. You can download a white paper that expands on how it all works.

Introducing the NVIDIA Graphics Assessment

When NVIDIA first announced their groundbreaking approach to introducing accelerated graphics to virtualization they began bridging one of the last gaps in making sure that users get the best possible experience with virtual desktops and applications. Building on their success NVIDIA has introduced newer, Maxwell™ based GRID cards NVIDIA that go even further to create a rich graphical experience for users and decrease complexity for IT administrators looking to optimize the visual experience of their users.

The evolution of the GRID solution set coupled with their new software means that more users than ever can take advantage of graphical acceleration. This couldn’t come at a better time given the rise of advanced media usage in enterprise. As an increasing number of organizations begin to explore making their virtualized environments even better many want to explore what their current graphical needs are and plan for the future with NVIDIA.

This is why Lakeside Software has partnered with NVIDIA to develop a totally free graphical assessment hosted on Azure to deliver a detailed series of reports leveraging the SysTrack workplace analytics platform. Available for a 30-day period for up to 500 systems at no cost, this allows any interested organization to deploy SysTrack and review their current environment. At the end of the data collection period a customized report can be generated to provide key insights on how users are using graphically accelerated applications and what GRID profiles may work best for them.

Segmentation

Additionally, NVIDIA has also introduced vGPU monitoring as a key component of their GRID technology. As an early access partner Lakeside has been able to leverage this to build out new management and monitoring components to help ensure that critical end user experience components deliver the immersive experience users expect. This is showcased in some of the updated NVIDIA Kit contents that IT administrators can now use to monitor their vGPU implementations.

DeviceMonitoring

So, get started today. Check out https://nvidia.lakesidesoftware.com to learn more about how you can use vGPU and SysTrack to help give your users the best possible experience.

Focus on Personas

One area of particular strength in SysTrack’s suite of value added functions is its ability to provide automated EUC Persona insight, aka “End User Segmentation”.  In their research note, “Segment Users by Workspace to Allocate Physical Devices, Digital Tools, Support and Services,” Gartner analyst Federica Troni states:

IT leaders responsible for end-user computing are challenged with determining the right set of tools to maximize user productivity and engagement without duplicating costs and capabilities.

Such a framework helps IT leaders determine the right choices to accommodate diverse user requirements.

Lakeside’s approach to end user segmentation is consistent with and supportive of the process advocated by Gartner.  The granular End User Computing (EUC) data collected, aggregated, and visualized by SysTrack is exactly the kind of data needed to identify user groups within an enterprise who have common device, application, service, connectivity, and support needs.  No longer must IT rely on outdated questionnaires, anecdotal input, and/or educated guesses.  Using real EUC data, collected from actual systems, with real users; the results are accurate, fast, and non-controversial. Thus “data driven” vs “instinct and intuitive” based decisions can drive EUC provisioning, access, and support choices.

This data driven methodology for Persona discovery can pay big dividends.  Proper matches between end users, the devices, applications, and services they use, typically result in:

    • Productivity improvements – Having the “right tool for the job” is an age old adage and is as important in IT as in any other form of work.
      • An over/under provisioned workstation represents waste. Either too much was spent on an over provisioned system or an end user of an under provisioned system can’t effectively do their job.
      • Mismatched application suites to job requirements represent waste. Providing more applications than end users need results in unused licenses, increased support costs, increased workload demands, and an increased risk of application or system conflicts.  Failing to provide appropriate applications to do the job, results in lower end user output.
      • Mobile and BYOD (Bring Your Own Device) initiatives require proper orchestration. Opening an enterprises’ infrastructure to any/all devices the EUC community chooses to use can be a security risk, support nightmare, and connectivity challenge.  A better approach is to understand the work behaviour of all end users and identify where mobile and BYOD adoption is appropriate.

 

  • Asset optimization – Rather than a “one size fits all’ approach, a proper understanding of the personas within an enterprise can lead to the distribution of end user devices which are appropriate for the job.

In a recent SysTrack assessment at a large auto manufacturer it was determined only 10% of the enterprises’ 25,000 laptops were observed to have been moved from their office location.   This while the average cost of a laptop was $150 more than a desktop and the average failure rate on the laptops were about 10% higher.

In another assessment it was observed that more than 80% of the enterprises’ users were not taking advantage of several of the applications within a suite of applications.  A lower license cost was negotiated with the application suite’s manufacturer based on the historical SysTrack data, this resulted in over $15M in savings for the company.

  • Service Desk Support Optimization – By reviewing “day in the life” data for various personas, an enterprises’ service desk resources can be staffed with appropriate skill sets for the times when needed. Frequently, a “one size fits all” service desk with 7 x 24 coverage is provided for the entire EUC community.  One recent study revealed a client had fewer than 5% of their EUC users accessing any resources after 8pm on Fridays and before 6am on Mondays.  The decision was made to curtail the service desk staffing on weekends and increasing the coverage during normal business hours, resulting in significant cost savings and improved EUC satisfaction, as the response time was improved during the time the service was actually needed.
  • EUC on-boarding optimization – Proper persona and job role identification, documentation, and definitions, provide a very efficient method for on-boarding new employees or changing employee job assignments. An enterprise with fully defined personas and job roles can quickly assign the proper resources (end user device, applications, services, connectivity, etc.) based on the job description of the end user at any point in time.

One customer reported the on-boarding time for new employees was reduced from 8 days to 1 day by properly identifying the various personas and job roles within the organization and automating the on-boarding process to take advantage of the persona insights.

  • Cloud Affinity – Significant savings are being realized by enterprises through adoption of “Cloud” services. SysTrack can identify which enterprise workloads are suited for “The Cloud” and who among the end users are ready to utilize cloud based services.