Fake use-cases in digital transformation

We’ve seen them for sure, the use-cases built on fancy slides solving end-to-end problems without any measurable substance. The problem is that they don’t really fix the long term underlying problem and the ROI usually are not followed up due to lack of appropriate KPIs attached to the use-case. Digitalization, Automation and AI implementation all go hand in hand, and they also have the same challenges solving root-causes in data, processes, capabilities and legacy IT-systems. I am a firm believer that Enterprise AI and Automation will fundamentally change the way we operate companies tomorrow, but that the transformation must be measured all the way. Forget about fancy pilot projects and fake-use cases promising an end-to-end-solution in a powerpoint or just because you try to separate capabilities inhouse building a “transformation team”. The core challenge is really to understand the underlying value of a business case and make sure to attach a measurable KPI to it from start. The truth is in the numbers, not in the slides or ambitions.

As technology continues to transform industries, functions and individual task, many companies are seeking large-scale digital transformation as a way to maximize results and get ahead of their competition. To succeed in the digital economy, established businesses must develop and apply new technology and organizational capabilities for sure, but the most important thing is to ask themselves, what value does this create?, and how can we measure it?.

IDC predicts an astonishing $6.8 trillion global spend by 2023 on technologies and services that enable digital transformation. At the same time E&Y predicts that roughly 30–50% of all Automation and AI implementations fail. One of the key causes for this is “lack of business case”.

To avoid ending up in a use-case swamp fueled by third parties that has no clear measurable value as a business leader you must make sure to understand the value enablement and also the right KPI or value indicators for your processes and businesses. Then, once you have started to test and deploy on your digitalization journey and AI and Automation implementation try to measure as much as you can, as often as you can. Try to build a robust set of measurable KPIs that you know can bring value and that you can steer towards.

At the same time, if you are successful, you can expect a competitive advantage, a new way of operating your company with room for growth activities and innovation focus. Let the technologies elevate you to the next level, just make sure to measure your success.

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