Big Data is the new buzzword as far as mass operations, iterations and manipulations are concerned. The data becomes an asset that requires cost-effective innovations ...
Suggested by WorldOffshoreBanks |
Get Started for FREE
Sign up with Facebook Sign up with X
I don't have a Facebook or a X account
Your new post is loading...
Your new post is loading...
Medellinfurniture's comment,
October 9, 2022 11:57 AM
good
Sign up to comment
Nathalie Prinet-Houairi's curator insight,
November 27, 2013 9:35 AM
Pour de meilleures analyses des data conduisant à un meilleur ROI. Pour de plus petites campagnes, plus ciblées donc plus efficaces Mc Kinsey |
LE ROUX Arnaud's curator insight,
September 30, 2014 2:21 AM
La Data au service du prédictif dans le sport dans le but de prévenir les blessures, afin de réduire des coûts... vous en pensez quoi ?
Kaitlyn Gregg's curator insight,
November 5, 2014 3:24 PM
Big Data can pretty accurately predict consumer potential reactions, their worth as a customer throughout the lifetime, and what the trends are in order to continue satisfying them. Its crazy how much big data can be essential to retail's success and keeping consumers happy.
Le Nguyen Thanh An's curator insight,
September 30, 2013 9:44 PM
A brief on Big Data and how we can amplify the historical data for future insight,
Data Entry India's curator insight,
September 18, 2013 1:12 AM
Big data analysis for real estate will make clear way for achieving bigger dreams.
Masanet's curator insight,
August 29, 2013 4:09 AM
Before investing in a big data tool or personnel, they need to decide which questions or problems they would like big data to solve. This criteria will then determine which big data strategy businesses should incorporate and determine how the success of big data is measured.
Fàtima Galan's curator insight,
August 16, 2013 4:00 AM
"The beauty of big data is that these are just a few examples amongst a slew of options and creative ideas businesses could use to better reach and understand the mobile client. " |
How is Big Data changing the banks business? And how this can add value for customers?
Today it is imperative to use machine learning for detecting frauds and mitigating risks. The next step should be solidifying the relationship with clients, by offering what they really need, not what the bank wants to sell.
The 6 uses of Big Data in banking
1. Increase efficiency - shorten the time to get information from db
2. Reduce cost - in maintaining the data infrastructure
3. Prevent fraud - self-evident
4. Accountability - better evaluation of clients' risk
5. New revenue streams - the more you know the more you can offer
6. Client satisfaction - by offering a better customer experience