Today,banks are using analytics to control frauds in electronic payments. Private banks such as HDFC Bank have implemented analytics software. The thing is that the out-of-the way transaction would decline if one fails to respond to a phone call or message immediately after the transaction. There are two kinds of fraud detection in payments- One is during the transaction, and the other is using analytics to identify suspicious transactions based on past behaviour. Banks are now specializing in the analytics part. According to an official of an analytics software company that provides banks with software to detect frauds, the software can be used to personalize services, like ATMs, for customers depending on their preferences. Read more at:http://timesofindia.indiatimes.com/business/india-business/Banks-use-analytics-to-check-fraud-in-online-payments/articleshow/38347410.cms

It will take several years for banks to implement the necessary changes to become customer-centric. They need to assess their operations, identify what needs to change, and then implement the changes and the systems to support them. After the 2008 crisis, customers have eschewed “too big to fail” institutions in favor of local banks. Customers realize they have multiple banking options, often selecting different institutions for different services. A customer with a credit card from a multinational may keep savings and checking accounts locally. Attracted by competitive interest rates, the same customer may apply for a loan or mortgage with a regional bank – or even an online institution.To increase their share of wallet with customers, banks must address three fundamental areas: organization, processes and technology. However, once they crack the code on how to deliver a better experience to customers, they will position themselves to seize phenomenal opportunities to engage with customers. Ultimately, that translates to higher revenues. To know more on why banks should embrace a customer-centric model go to:

http://www.banktech.com/business-intelligence/banks-must-embrace-a-customer-centric-mo/240166955 .

Today's big data and analytics efforts bring welcome relief to banks, insurance companies, healthcare agencies, non-profits, and other organizations that have habitually struggled with finding the most profitable customers and then selling to them. A new set of analytics reports can move these companies forward in connecting with their best customers. According to a research by Fractal Analytics, banking users are struggling in an industry where 40% of cardholders are inactive and 60% are unprofitable. Banks want to increase spending in its existing credit cardholder base, so that it can implement customer analytics framework that was once targeted at improving first-hand understanding of these customers' needs. Once the bank understood who its most profitable customers were, it developed a "genomic" understanding of how these customers spent their money and found that insurance and food expenses were among the leading "spend" categories. This enabled banks to plan and target promotions built around these major spend areas. By doing so, banks increased its value per customer while decreasing expenses on marketing campaigns, likely because the campaigns were better targeted. To know more about this go to: http://www.techrepublic.com/article/genomic-analytics-build-sales-by-finding-your-most-profitable-customers/ .

Though applying cutting edge technologies are on unprecedented rise in banking industry, security issues are cropping up more and more. Banks are becoming vulnerable to increased frauds and cyber-attacks.  This can negatively hamper the image of the bank in the minds of its customers.

To counteract this, banks have developed various analytics tools. But, they are rule based that depend on arbitrary thresholds to trigger alerts for potential frauds. The flip side here is that it may generate false positives. These can cause deep frustrations among honest customers who are falsely blocked for fraud or are constantly asked to undergo strict security procedures.

 A new type of analytics tool has been developed to solve this problem. The new tool is called Adaptive Behavioral Analytics. It produces an accurate result that reduces false positives. Unlike rule based analytics, Adaptive Behavioral Analytics combine customer information to create a behavioral profile at an individual level. This gives a clear picture about the customer and generates an alert if there is any deviation from typical behavior spotted in real time. Interested to know more?

Read at http://www.bobsguide.com/guide/news/2014/May/16/and-now-for-some-good-banking-news.html  for more details on how this new Analytics tool is helping banks to detect and fight fraud.

Most banks nowadays implement Analytics intensively to gain insights from their customers’ data. By generating reports with the help of queries and analytical tools, questions are answered for better decision makings. But still formulating and testing the hypotheses, tuning the model and tweaking the data structures are being done manually. Though much of the work is done by computers, the main part, which is thinking requires human intervention.

But, all these are set to change with the help of Cognitive Computing and Analytics. So, what is cognitive computing? Cognitive computing is the ability to master natural language processing and draw deductions that are not typically possible.

To provide impetus to the growth of its products and services, Global financial services firm DBS Bank has redefined its financial operations with the power of Cognitive Computing and Analytics and they are bearing fruits from it. Read more at http://www.baselinemag.com/analytics-big-data/bank-turns-to-cognitive-computing-and-analytics.html  on how they are doing so.

Today, technology is an integral part of any business looking for sustainable growth. Banking sector is no different. Handling branches is an important day-to-day operation and hence, banks need to deploy adequate resources for the same. From simplifying payments with person-to-person transfers to eliminating the need for passwords with voice recognition software, technology is revolutionizing how account holders manage their money. The result is that bank branches are looking less crowded.

To read more, visit:

http://www.nasdaq.com/article/4-ways-tech-will-change-your-bank-branch-cm329072

Advanced analytics is an opportunity to redefine the banking sector. Some banks will seize that opportunity and will be able to explore the market & gain significant market share. Just like, some banks had initiated providing ATMs & internet services to customers, in order to truly create a differentiated position for themselves, enabling them to achieve competitive advantage over the rest.

Innovators are using big data and analytics to sharpen risk assessment and drive revenue. Banks who are implementing data analytics will be in an advantageous position for some period of time, while other banks playing catch up. So there’s an opportunity to make some smart, targeted investments. If you want to sustain your banking business in today’s volatile market, Think big, Think innovation! Think analytics!

To Read more, Visit......

http://www.mckinsey.com/insights/business_technology/how_advanced_analytics_are_redefining_banking

Cloud is a buzzword that has been taking circles in the IT world for the past few years. Today, every organization demands more software deployment and significant reduction in the response time. To achieve improvement in efficiency and to utilize the resources better, cloud is the sure shot answer.  Cloud infrastructure is also improving its efficiency, availability and security. People who were looking at cloud with suspicion, are now preparing themselves to adopt the technology in a large scale. Cloud is definitely here to stay. There are 3 types of cloud services in offer, namely public, private and hybrid. In the BFSI sector, as data security is one of the core issues, the tendency towards private cloud preference is obvious.

Johnson K Jose, Deputy General Manager, IT Department, Federal Bank, talks about the benefits of adopting cloud model & preference for private cloud in BFSI sector. To read about his views, visit the following link:

http://ibm.informationweek.in/interviews/item/245-private-cloud-is-the-preferred-flavor-in-the-bfsi-segment.html

Imagine, in this IT enabled world, different departments of a bank are operating on a standalone framework, managing millions of customer data. So it’s obvious that they will not have a clear picture about customers’ demographic pattern, their preferences and their account usage patterns.

Thanks to Analytics, these problems are now being solved. Omar Sohail, Principal, Deloitte Consulting LLP and Banking & Securities, Business Analytics & Information Management Leader, writes how structured, unstructured and semi-structured data can help the banks in reaping benefits by getting more insights about customer data.

For detailed information please go to http://www.baselinemag.com/analytics-big-data/banking-on-big-data-and-analytics.html .

Banks are the backbone of every economy. With the help of data analytics, banks are defining the modern age of customer retention & services through out the world. However, the Indian BFSI sector is yet to implement data analytics in their day-to-day operations. Mohan Jayaraman, Experian Credit Information Company of India, explains how Indian banks can improve their customer lifecycle by using data analytics. To read about his views visit:

http://www.informationweek.in/informationweek/perspective/287791/indian-banks-improve-customer-lifecycle-analytics