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Being in a highly technical, complex field it is easy to sometimes lose the ‘human aspect’ of the solutions we are developing. We focus on apply edge computing concepts, or whether a seasonality model works better for our predictive accuracy than some other approach. Don't get me wrong, these are all important activities. However, in working with many firms in developing, deploying and supporting advanced analytics solutions, particularly in the domain of the Industrial IoT space, it’s often the people side that fails – not the technology.
How many times have you developed an amazing predictive analytics solution that your team is excited about, but it fails to get corporate funding? Or even worse, you develop a proof of concept, but the business unit responsible for deploying the solution never fully adopts or accepts the solution. What gives? The solution has been proven to work. It shows significant results. Why the hesitancy.
The reality is that most advanced analytics solutions have some impact on existing business processes. Whether it is replacing staff with an automated process, or gaining the trust in management that the decision making algorithms work – the bottom line is that it’s all about making sure the organization, the people, not only accept, but embrace the solution.
Here are some suggestions for helping to make this happen:
Clearly, there are a lot of things that can be done to help drive acceptance of your solution. So my strong advice is – don’t think of just designing the solution and developing as the ‘project’. Half of the project is getting buy-in to the solution from your organization. Be prepared for this, plan for it, and embrace it!
Ed Crowley is CEO of Virtulytix – the Industrial IoT solutions development firm that makes the Industrial IoT smart!