BETTER BUSSINESS OUTCOMES

Decision intelligence (DI) goes one step further than business intelligence, by not just providing decision augmentation - giving the information people need to make better decisions - but it will also deliver decision automation - fully automated decisions within seconds, seven by seven.

If it cannot or is not allowed to make the decision itself, the decision is rerouted to the right person who will also receive the created

insight whereby the key inputs are highlighted. As such, your staff can focus on taking the right decision as opposed to information gathering.

Maybe this sounds to you like Artificial Intelligence (AI) and it's certainly plays a role. However, AI alone has historically failed to achieve the level of automation in all but a few cases and those projects have a sad track record of failing in 80% of the cases.

To optimize decision-taking within real business processes in production, we need something new. This secret sauce is called 'context'.

People will rarely take decisions without context, but so far we expected computers to do so.

Imagine buying a house. You wouldn’t simply look through the window and say, “This will be my new home”. You would open the door and walk in, look at all the rooms and assess the condition, the roof, plumbing, electrics, windows, and heating – this is the 'internal data'. You would then walk and drive around the neighborhood, the local schools, shops, sport facilities, public transport, the value of properties in the area, and you probably even will have a chat with the neighbors – this is the 'external data'.

The combination of 'internal' and 'external data' and the insights from it against certain decision criteria, is key in making optimal decisions and is what we call 'context'.

We need to do the same for our business decisions, bringing data together from different sources, extract insights from it against certain business goals and use this context for making decisions that result in optimal outcomes.

For example when you're looking to grow your business, you can look at 'internal data' like order data, from which you can learn who are your best customers, what did they and didn't buy, what are they clicking on on your website, customer surveys, etc.

You could then have a look at external data like financials, size, location, location of the competition, , etc.

From this internal and external data you can learn what is defining your best customers, which you then can use to find more of them. You can learn which product or service would be the best to start a marketing campaign for to achieve your goals the fastest. Or pro-actively detect which customers will leave and get the best recommendations to keep them.