What would an analytic model for the humanitarian world look like?
Google does it. So does IBM. Target has been able to predict when women are pregnant, sometimes even before they know it, with this tool. How do we harness it for the good of the world?
Analytics is kind of a buzz word in the corporate world today. Many people are talking about it and excited about the possibilities it offers. With this tool you can simplify a vast amount of information into a bite sized pieces that can be tailored to apply to anyone.
How it Works
By no means am I an expert in the realm of analytics but I know a little bit about it. The idea behind business analytics is taking all the information from a particular customer and tracking when they buy certain products, what they buy, where they buy it, and they try to find patterns in these habits. This is the theory behind Google's analytics and even Facebook's admin section if you ever own a page. It is just mass amount of information that is filtered into a form which can almost predict a customer's needs and wants. This is good for the customer and the company because they both get what they want.
Well this theory is all well and good for companies and corporations who can track buying habits, but how do we do this for non-profit organizations who don't have "customers" per say but does have people they serve and have specific wants and needs?
The question is this:
First, what information would humanitarian agencies be looking for? (weather patterns, amount of people in each county, number of jobs open, apartment available in a region and prices for incoming refugees)
Second, depending on the topic, how would we quantify some of the information out there that would be needed?
Or am I asking the wrong questions? Should I be asking more? Basically how can this idea of analytics be transferred to humanitarian needs?