– enabling the data driven decision process in retail
Build on ADI™ (Automated Decision Intelligence) answering:
Where, what, which, why, when, how
The Profit Chain™
How to automate and optimize your sequence of business decisions with ADI and Big Data?
Finn Gilling presenting The Human Decision System™ at Symbion Science Park, August 2016
Teach yourself how to automate Business Decision making
Use 5 minutes:
How to develop a model for ADI and Big Data
The Profit Chain™ is a general model describing all the decisions, that any business management is confronted with. As these decisions are depending on each other, The Profit Chain™ also describes the optimal sequence in which to make them, maximizing your degrees of freedom as you are using them.
To design automated decision intelligence, translate these general decisions in The Profit Chain™ into “your reality” and add goals and targets as measurement points:
An example: The “location” decision in The Profit Chain™ model translated for ADI with Big data:
Retail chains need to find the best locations for their shops. The target is an unidentified address among millions of addresses. The goal is to maximize revenue at one of these addresses with a new shop.
To automate your business decisions with ADI, work systematically through all the business decisions in The Profit Chain™, and define goals and targets. When this is ready, you can identify your measurement points (ex…target = an address related to data like the number of consumers within 500 meters to the address, or shopping traffic around the address etc.)
If you have not seen The Profit Chain™ before, here is a short 5 minutes introduction – push left/right with the arrows at the screen below and start with no. 1.
Read more and order the book on: www.insearchofprofit.com