To be in the 15% successful: Part 1 - Communication between business and Tech



In a previous blog, I outlined 5 reasons Rand Corp mentioned for the extremely high failure rate of AI projects (85% failure rate) and the top one was communication issues between the business and the people dealing with the AI. Let me call them “Tech”.

In my experience, poor or even the lack of communication between the business side and the “Tech” side is the reason for failure for most data projects.

In the past it was because “Tech” thought it owned data and could do whatever it decided to do, and had control of a huge budget just because nobody understood what they did.

The business side did what they did, within the bounds of “Tech” or even without “Tech” assistance, they made money, met business KPIs…

These were the days when “Tech” was seen as a pure cost centre.

Fast forward to today, what has changed?

Or more pertinently, how much does this “Tech” “Business” divide contribute to 85% failure rate?

Who is responsible for the 85% failure rate, Business or Tech?

It would be ridiculous to state that the people who have been running a business for a while, all of a sudden are found to be unable to do so. Yes, technology is advancing quickly and the markets are more dynamic because of that. But have the fundamental business practices and patterns totally changed rendering business experience useless? No, because whatever we may think, adaptation is part of business, it may be required faster nowadays, but it is nothing new to the business side. Inherently, there is knowledge and understanding on the business side, and a desire to do well.

Similarly, especially when it comes to engineering skills, these can be picked up and relatively objective tests exist to gauge the quality of the engineers, especially the coding aspect.

So, what goes wrong?