To ensure a successful adoption of Office 365, there is a tremendous amount of planning required … this is no trivial project. Once you begin your roll-out, you need to understand and demonstrate that the experience your end-users are having is consistent with the level they require to be efficient in their daily routine. Nexthink End-user IT Analytics and the Office 365Library Pack will give you the data you need to ensure the experience of your Office 365 users is comparable or better than the productivity apps they were previously using.
The Nexthink Office 365 Library Pack for the Nexthink Portal and Finder will help you plan and measure Office 365 project success like never before. There are a 12 pre-built dashboards displaying key device and application metrics relevant to Office 365 planning, roll-out, and adoption. All the dashboards can be modified and customized to suit your organizations needs.
Download the pack now in your Nexthink Finder to begin enjoying the benefits of this great Library Pack.
When it comes to technology many companies face the “iceberg problem” — 90 percent of IT issues, innovation and evolution happens beneath the visible surface of corporate networks, users and boardroom discussions. The results? Some are positive, like when C-suite execs are pleasantly surprised at the depth and breadth of IT efforts. Others are more worrisome, like system faults and failures which go unnoticed, unreported and unresolved in turn making your iceberg sink lower in the water. Too far and you go under — pull up too hard and you risk upsetting the IT balance. What you really need is clear water but how do you see below the surface?
According to ZDNet, data insight is on-track to become a “key competitive weapon” in 2016. But there’s a disconnect — while 75 percent of enterprise architects want data to drive business strategy, just 29 percent say their firms are any good at connecting data and actionable outcomes. While data-driven investments should continue on pace over the next twelve months, the real story here is the rise of data science and real-time analytics reducing the time from query to answer and insight to action.
A few weeks ago I wrote about NXQL a new query language optimized to analyze large amount of data in very short time. Following requests for more insight into NXQL, I would like to provide you here with a more concrete set of examples about that powerful and flexible language available in Nexthink V6 platform.
A typical Nexthink engine database contains 100 million events, up to one million of events may be created on a busy hour by 5000 devices. To analyze this amount of data, you needed a query language which is both simple and powerful. It’s why we developed Nexthink Query Language or NXQL. We considered SQL but we needed some language of a higher level dedicated to search on time events linked to complex environment. However, NXQL and SQL are close relative. So, if you are familiar with SQL, you should be able to feel comfortable with NXQL in no time. Read more
When it comes to end-user analytics, companies are understandably focused on the front end: What can data tell IT pros and C-suite executives about how customers and employees interact with applications and services ? And while these metrics offer big value when it comes to projects like cloud adoption or the development of new in-house applications, this is just the tip of the iceberg; nine-tenths of perspective-changing data hide below the surface. The new Collector in Nexthink V6 is designed to maximize the value of end-user data — here’s how. Read more