« February 2016 | Main | April 2016 »

March 28, 2016

Insights drive all aspects of banking

Posted by Venkatesh Vaidyanathan (View Profile | View All Posts) at 10:10 AM

The Fintech revolution is threatening to completely disrupt conventional banking models. But for most Fintech startups, access to consumer data is still a huge challenge. In contrast, the incumbents have a wealth of transactional and behavioral data at their disposal. In the digital paradigm, the flow of data will only increase as each bank accumulates terabytes of data from a variety of external data sources.

Advanced analytics technologies can help banks leverage the abundance of data at their disposal to gain granular, real-time insights into every aspect of banking operations. These technologies empower banks to define their customers, based on their individual values, expectations, and needs, rather than aggregated demographics.

Take online and social platforms as an example. As more and more customers turn to these online communities to discuss their opinions and preferences, there is a huge opportunity for banks to turn these interactions into significant business value. For instance, sentiment analysis of social commentaries allows them to drive continuous product and service improvements. It also enables them to generate richer insights into individual customers' life stage circumstances and personalize the banking experience to the 'segment-of-one'. This means that banks can now personalize banking experience based on every bit of customer data, including a new addition in the family or the stated intent to purchase a new car. Big data product-matching algorithms can then help deliver products that are aligned with customer preferences, thus significantly increasing the probability of success. Banks can also leverage sentiment analysis to map customer perceptions about the competition, and use those insights to design more targeted and productive acquisition strategies.

Advanced analytics technologies have a host of significant applications across the banking value chain. Currently, the analytics conversation is still dominated by its potential for risk, fraud, and compliance management. And this is rightly so, considering that the industry loses billions to fraud, every year. Compliance norms are also getting tougher, with regulators imposing huge fines on some major banks for KYC and AML violations.

The proliferation of digital touchpoints and explosion in digital transactions is only going to exacerbate the situation. More importantly, the increasing complexity of reporting norms, amidst a zero-tolerance approach to non-compliance, will make analytics a practically indispensable part of risk and compliance management as traditional detection and control systems struggle to cope with the rigors of the digital banking business.

Advanced analytics technologies can help compliance officers take a more unified, enterprise-centric view of risk, by connecting the dots across multiple risk and compliance layers within the organization. They also enable a more proactive approach to the management and mitigation of risk by extracting actionable intelligence from a range of structured and unstructured data sources. Advanced analytics tools can map financial patterns across accounts and channels in real-time, to flag suspicious activities and behaviors that deviate from the norm.

That being said, advanced analytics can drive opportunity and value in almost every banking function. Take the technology ecosystem for example. Using advanced IT operations analytics platforms, banks can now monitor and analyze application and infrastructure usage alongside performance issues across the technology landscape. Banks can enhance the returns on expensive infrastructure investments by taking an insights-based strategy to optimize capacity based on current and expected usage. A data-driven approach to technology and application management will also allow them to strengthen business outcomes and innovations.

In the era of the 'segment-of-one', banks can leverage big data analytics to drive tremendous contextual value throughout the customer life cycle. By looking beyond traditional structured data sets, banks can now generate more targeted customer acquisition leads. A customer's product usage patterns can inform product development strategies and even uncover potential opportunities for up- and cross-selling. Analytics also allows banks to enhance the ROI of their marketing programs by eliminating intrusive, irrelevant, and unproductive offers.

In a time of fickle loyalties, analytics and predictive modeling techniques allow banks to constantly monitor customer satisfaction levels and predict attrition before it happens. That apart, analytics solutions can even help match acceptability and profitability across a range of possible retention offers.

As more and more customers turn to digital channels for their routine banking interactions, it is imperative to enlist every banking employee in the battle for loyalty and wallet share. This means empowering every role, however junior, with the power of analytics. When empowering employees - or indeed, any stakeholder - with analytics, the focus must be on adopting easy-to-use visualization and prediction technologies that enable them to quickly convert complex data patterns into actionable intelligence. In order to fully integrate the potential of analytics and to ensure that all employees, partners, and customers are 'analytics-enabled' as required, truly digital banks will increasingly turn to cloud-based, open-source technologies in the coming year.

Found this perspective interesting? Checkout our point-of-view on key strategic and technology trends that are transforming banking here. And do let us know what you think.

March 17, 2016

The Internet of everything

Posted by Sunder Madakshira (View Profile | View All Posts) at 11:45 AM

The Internet of Everything (IoE) can potentially create incremental economic value of up to US$19 trillion within this decade. As everything from automobiles to refrigerators to kitchen containers become connected and smarter, banks have a huge opportunity to get closer to their customers' lifestyles and financial needs.

Banks need to ensure that they have the analytics infrastructure in place to take this huge deluge of data and turn it into hyper-personalized financial experiences. First movers in this space will also gain a reputational advantage of being seen as digital mavens by increasingly discerning digital consumers.

Thus far, the smart refrigerator that orders milk has become the de facto point of reference to discuss the possibilities of IoT-enabled banking. But some more tangible and immediate possibilities are emerging. For instance, progressive banks are already talking about a car banking concept that can turn the car into a wallet, and create smartphone-free payment at gas stations and drive-throughs.

The IoT phenomenon has a lot of potential applications across the entire spectrum of banking services. Earlier this year, Santander InnoVentures, the Fintech innovation fund from the Santander Group, published a paper detailing multiple use cases that go beyond retail banking. One particularly significant example combines IoT data-capture devices with Blockchain's smart contract functionality to streamline contractual processes.

For the banking industry, the IoE represents a disruptive opportunity that is as big, if not bigger than the internet revolution. But this time around, the pace of transformation will be much faster. Banks that seize the opportunity early, innovate quickly and consistently, and create connected banking experiences will emerge as winners.

Found this perspective interesting? Checkout our point-of-view on key strategic and technology trends that are transforming banking here. And do let us know what you think.

March 2, 2016

Mobility and wearables

Posted by Ethan Wang (View Profile | View All Posts) at 11:57 AM

The mobile phone continues to evolve rapidly in terms of functionality, processing power, and embedded services. This means that the goalposts for mobile-first banking are constantly being moved. Then, of course, there are wearables, tipped to become the second-largest selling consumer electronics product, behind smartphones, by 2020.

Digital banking strategies cannot remain static when the market for consumer digital devices is expanding rapidly in terms of profile and functionality. Banking strategies will have to be continuously reworked to accommodate these shifts. For instance, when the focus of digital banking shifted from the Web to the mobile device, banking strategies had to account for some of the native functionalities of mobile devices like geolocation and camera. Now, with the addition of wearables to the mix, banks will have to reimagine service delivery both in terms of the functionalities of the touchpoints, as well as the consequent evolution of customer preferences.

Even within the smartphones category, the possibilities are continuously evolving. Take for instance, the new Force Touch technology in the latest iPhone. Is there an opportunity to leverage it to enhance the app experience for mobile banking customers? Or do customers even want banking apps anymore? After all, Siri gets over one billion requests a week. How many of those users are hoping to upgrade from an app-based to a voice-based mobile banking experience?

The point is that technology is moving faster than ever before. Consumers are adopting new digital technologies more readily than before. This means that digital banking strategies will have to run even to stand still.

Found this perspective interesting? Checkout our point-of-view on key strategic and technology trends that are transforming banking here. And do let us know what you think.

Subscribe to this blog's feed

+1 and Like Finacle



Follow us on

Blogger Profiles

Finacle on Twitter