Using Analytics to Master Your Office 365 Migration is a two part series that examines four important considerations that will help ensure your Office 365 implementation is a success.
Part 1 is published here. Part 2 follows below.
#3 Implementation with minimal impact
Migration projects are often filled with unexpected surprises, and Office 365 is no exception. Everyone has experienced an application update, an OS upgrade, or a patch that created unexpected results.
When going about our daily routine, typically, we only have the subjective feedback from the end-users themselves to rely on when it comes to measuring system performance after a change. However, in using endpoint and user IT analytics technology, you can accurately assess both the before and after states using key metrics that allow you to make appropriate interventions. This is far more reliable than the usual subjective feedback.
Endpoint and user IT analytics gathers and analyzes, in real-time, every application execution and network connection within your environment giving IT visibility other products lack. It will make sense of the data collected using comparative analysis, statistics, and trends over time, and is able to identify unusual or abnormal events that occur due to an Office 365 migration.
With this you can answer questions such as:
- Which domains are being accessed by Office 365 applications and what data flows to these locations?
- Are users adopting the new Office 365 applications? Would training or education campaigns improve adoption?
- Is there any instability that could hinder employee productivity?
Endpoint and user IT analytics will provide the necessary intelligence to make quick and informed decisions so your users realize productivity gains in addition to the best possible user experience.
#4 Proactively evaluate and share project metrics
All successful projects have an evaluation and reporting aspect. Effective reporting enables the organization’s management team to monitor key project metrics, see progress and promote the project’s success.
They may want to know the total number of systems running with your newly deployed Office 365 application or more importantly, they may want to know which systems have not been
migrated/upgraded and what is being done to remediate the situation.
They may also be interested in understanding how the migration has improved end-user interaction with systems – problems solved, fewer crashes, better network availability, and higher compliance. The same data also helps project administrators analyze different aspects of the migration ensuring they can keep the project on schedule and on budget.
Endpoint and user IT analytics gives you the end-user perspective to:
- Report the value of IT for the business – Understand IT services, including Office 365, as they are adopted, used, and consumed by the users at their device—not the data center.
- Report the quality of IT for the business – Identify issues and degradations at the level of the users so you understand their experience with the device, the applications, and the network.
- Report the security of IT for the business – Show your control of users’ devices, behaviors, network access, and applications to secure company data.
- Report the relevance of IT for the business – Assess, plan, deliver and validate your Office 365 project to ensure it meets business demands and expectations, and demonstrate it with hard data.
You cannot secure, improve, and change what you can’t see (or see too late)! Most IT departments currently lack the tools to see what the end-user sees. With the rapid growth of new computing paradigms, relying on more applications, web services, and mobile devices, complexity is growing while visibility is declining.
Real-time endpoint and user IT analytics is a revolutionary development in the sense that it can analyze all application executions and network connections from the end-user perspective. This will help you discover what cloud services your end-users are accessing, such as Office 365. You will be able to see how services are connected, what dependencies exist, what devices are connecting, and what the QoS levels are.