PEPPER GLOBAL
Pepper is concentrating more on long-term values for customers rather than short-term sales . Their aim is to build a relationship with their users , providing them with a range of services that keep them coming back for lifecycle events .
He explains , “ Mobile telco data becomes important in some markets and there are a number of people that are building credit scores from mobile phone data . We actually see the world in more than one dimension from a scoring perspective .
The credit score is one thing , but also the ability for us to manage a customer through a life cycle , to think about lifetime value or longevity of loan , the ability to cross and upsell are all part of that scoring process , and so the more data , both specific customer level data that you might get from a mobile phone or from an app , a wallet or whatever , as well as markets data and local market data is valuable .”
And there are highly accurate ways to assess the viability of a customer in terms of loans that are also outside the IoT sphere . Day explains that data on weather patterns in various regions can indicate if and when a loan will be paid . If rainfall is exceptionally high or low , it indicates
“ We look for signals in markets that are not necessarily the traditional signals , and couple of those where we can with customerlevel data , and that ' s part of the magic sauce ”
ANDREW DAY GROUP CHIEF DATA OFFICER , PEPPER GLOBAL
crop volumes will be below par and as a consequence , the local economy will suffer .
Pollution is also an indicator . The higher the air pollution is in an area , the greater indicator of better credit scores . “ Why is that ? Because air pollution is an indicator of economic activity . We look for signals in markets that are not necessarily the traditional signals , and couple those where we can with customer-level data , and that ' s part of the magic sauce ,” he explains .
Data harvesting and management As the IoT grows exponentially , and more and more data becomes readily available to companies , insights become razor-sharp . But so too do the potential pitfalls . Too many times , businesses have fallen foul of regulations , by either selling customer data to third party companies , getting bogged down with data gravity and silos , or even letting sensitive and exploitative information fall into the hands of cybercriminals . Managing the way data is collected , used , stored , and then disposed of , is a task that bears heavy legal and ethical ramifications .