The Royal Bank of Scotland has a
new strategy for customer service and its fueled through the use of big data. This
strategy is called “personology” and the purpose of the strategy is to get rid
of the gap between banks and customers that started in the 70’s. With this
strategy, the main goal is to give the most back to the customers and not try
to trick customers, but really establish personal relationships with customers.
One highlight the article makes is how although the bank was at first very
worried about how they would be perceived when they notified customers where
they were double charged through different service tied into bank accounts which
were found through financial transaction data. But through actually building
trust, most nearly all customers kept their accounts with the bank where other
banks would not have done this, but keep the profits for themselves which shows
how the RBS is using big data to really help customers. Another good point the
article brings up is how the bank compares itself to Amazon in their technique
where amazon efficiently utilizes such little data of their customers and that
banks have so much information on their customers and use such little of it. I
found this very interesting because it is so true and that the true idea of
banking can change and revolutionize more than it has if all banks start to use
“personology” or some customer service platform similar to it. And a third point I liked from the article is
where the plan may go. They believe the future outcome will be artificially intelligent
bank managers. It argues that with bank apps and online banking there is
already less face-to-face interaction in branches which I think will be inevitable
especially with the ability of secure online bank transfers like Apple Pay and
apps like Venmo.
One critique
of the article I have is that they do not elaborate enough on the new strategy
or what the differences are that have allowed them to make the strategy. They
do list what they have used like open source big data technologies like
Cloudera Hadoop, Cassandra, and CRM specialist and startup Pegasystems, and I
understand they do not want to disclose too much information but more in my
opinion would have been good. I found this article that goes more in depth about
how RBS uses the SAS and a visual analytics tool in addition in the new
strategy (http://www.cbronline.com/news/verticals/finance/rbs-reveals-sas-powered-data-driven-approach-to-tackling-customer-service-4860600).
Another critique is I also would have liked to see the numbers with this. The article
says that the banks will lose some profit with not double charging customers
and the article said RBS spent 100 million pounds on the strategy, but I would
like to see more numerical results of the strategy. A final critique is how the
divide originally happened in the 70’s. The article mentions how banks used
data to mail customers but not what really made the divide and lack of trust.
http://www.forbes.com/sites/bernardmarr/2016/04/13/the-wonderful-big-data-strategy-at-royal-bank-of-scotland/#537481b43e22
The most interesting part of this article was the third point in my opinion because I can relate this to the article I read for my blog. Branching off of artificially intelligent bank mangers, my article was about how they wanted technology to take over teachers and the entire learning process. Personally I think that technology should not take over already working people.
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