Multi-million dollar problem of productivity - and how to solve it?

Wednesday, October 31, 2018

​​​​​​​

Many organizations have hundreds or thousands of computers running hundreds or thousands applications by users to complete their daily work.

So, even seemingly small productivity problems add up to major expenses over time.

On an individual employee level, non-functioning IT tools cause on average more than two full weeks of wasted workdays per worker each year.

In a 1,000-person organization, this corresponds to the total annual effort of 45 employees being wasted.

Are the foundations of your IT operations in shape?

Tuesday, October 9, 2018

Data-driven analytics help you improve your IT productivity tools

What continues to amaze me is that recurring issues that users face in their daily work with their computers and applications are still one of the main productivity killers and causes for frustration in today's digital workplace.

As there are hundreds or even thousands of devices and applications in daily use in every organization, the consequences of problems with basic IT issues are not a minor thing. Actually, it is quite the opposite. The negative effect resulting from the problems can be significant in many ways: people lose work time, they get frustrated, they may even switch jobs, if they are not happy with tools they have in use. Just to mention the most obvious examples.

Service desk ticketing vs. data-driven IT support - focusing on the quality of end user experience is key to productivity

Monday, September 24, 2018

​​​​​​​

In the traditional IT support model, quality is measured via Service Desk ticketing: number of tickets, how quickly they are solved, and user satisfaction to handling the ticket-based service. This measures the service quality, not the functional quality of the tools. The functional quality is, however, what matters the most for the users. The focus should therefore be on the end user experience and how to manage it.

How mature – or sentient – is your ICT?

Wednesday, November 29, 2017

Sentient IT

Most people working with IT operational development are familiar with Gartner maturity models. You know, those 5 level things where you end up from chaotic, ad-hoc state of level 1 to the blessed 5th level where business sings praise to IT and the world is ready. Most real companies end up somewhere between 2 or 3, depending on the wording of the stages and the mood of the assessor.

Having said all that, there is a lot of good in those models as well. They usually talk about the IT vision, explaining what good looks like. They usually even describe the path and the steps to get there. The problem is, the last stage (often called with lofty terms such as “Optimized”, “Best practice” or “Value”) often sounds completely utopian.

…Only it’s not utopian anymore – thanks to advances in IT event management and analysis.

Sentient IT is a movement focused around real time IT environment data, direct and proactive connection to end user satisfaction and artificial intelligence. It has the...

State of modern IT services today – event summary

Tuesday, October 24, 2017

What is the state of modern end-user IT services today? How can IT make sure that users stay productive, happy and safe 24/7 no matter where in the world they work?

Applixure recently joined Chilit at a seminar focusing on end-user workstation IT services. Chilit is a leading Finnish IT service provider that partners with Applixure to bring data-driven services to its customers.

Harri Turtiainen: You need to measure in order to improve

Applixure’s CEO Harri Turtiainen delivered a presentation on continuously improving IT based on measured, real-time data on computer hardware and software.

“User productivity is the main goal. To keep users productive, they need digital tools that don’t let them down. To provide those tools, we need proactive IT service processes. And these processes are built on real-time, automated data.”

While traditional IT services are based on reacting to problems reported by users, predictive processes aim to prevent those problems. Data on faulty hardware...

6 – 10 / 18