Updated: Jan 13, 2020
Within most large businesses today exists a migration project, or multiple migration projects. We’ve gone way beyond businesses questioning the relative merits of moving applications to the cloud or keeping them on-premises, although of course this is necessarily a staged affair and can take many years to complete.
But, if we look across the world’s largest enterprises, how many happy stories are there about seamless, meticulously planned migration projects that have completed on-time and on-budget? Sadly, very few. In fact, publicly available research from dimensional research tells us that only 4% of companies migrating to the cloud have completed the journey; 64% of migration projects run longer than expected (and 73% are expected to take more than a year) and 55% run over budget.
So why is it so hard to move enterprise applications to the cloud? Well, actually the answer is quite simple. In most cases, companies turn to consultancies when they start their migration planning, and these organisations are still using manual, out-dated techniques – usually based on Excel – to gather information on their clients’ applications and infrastructure. It’s an approach that takes months, and by the time it’s completed, the information collected is out of date and not good enough to inform a strategy, infrastructure or application modernisation plan. And the problem is even more significant in today's digital environment where technology options are changing so fast.
A New Approach based on AI
Instead of continuing to perform these manual assessments and deploying agents and local tools to collect information, with today's AI-based technologies it is possible to extract value from existing enterprise data stores. This is done using existing data sources, combined with Machine Learning algorithms and business intelligence tools and modern development frameworks. At junkshon, we have used these technologies to build a new way of analysing and building a modernisation plan for applications and infrastructure.
Right now, we’re mostly working with organisations whose migration projects have stalled for the reasons I outlined earlier. We’re able to come in and, using our AI engine and visual analytics, rapidly untangle the Excel mess and begin to come up with practical, weighted plans for moving applications to the cloud. Our clients can finally look at accurate business case forecasts and migration workflows.
And the key point in all of this, is that we accelerate the whole process dramatically. With no exaggeration, we’re talking days, instead of months or even years.
To find out more about how we do this, click here to see our ‘seven step’ infographic.