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Digital Banking? Yes but how

“Should we go digital” is definitely not the question banks are asking themselves. They were, but that was a long time ago. Just like global warming, we have all seemed to make up our minds that digital banking is the answer. Of course, just like global warming, there are a few naysayers who nobody, including the customer pays much attention to. As we cross into the 4th industrial revolution, the question therefore is “What is the best way to implement digital banking?”

Well, I am afraid, there’s no silver bullet. It all depends on a myriad of variables, all dynamic, so dear chief digital officers – I definitely don’t envy you your jobs. There are a few things though that might help you out on your journey – and that’s what we are going to discuss in this blog.

Talking about industrial revolutions always takes me back to the renaissance. The answer lies in the age-old cliché of how all banks started as product-centric organizations and moved onto customer-centric ones (or trying to) as they developed further. In their endeavor to do so, they tried developing the then ‘heart of the banking system’, the core banking system to enhance the way they interact with their customers.

Basically, the core banking system which was a record-keeping system was added with a few functionalities which will allow it to cater to some of the basic customer interaction requirements. However, now that we have made our way into the digital era, banks are finding it exceptionally difficult to keep growing the same way. The customers are familiar with the flexibility and personalization that’s being made possible by digital enablement in the other industries. The likes of Uber, Netflix, Amazon have transformed the way customers evaluate their services.

The banks have been trying to catch up but the core banking systems are just not flexible enough to handle the levels of personalization and contextualization that the customer of today demands. Some of the more innovative banks have invested more in the channel systems in an attempt to enhance their game. The problem with that strategy is that the channel systems keep growing in silos and the banks are unable to gain an overall insight on the value provided.

So slowly, the core of the banking system is being replaced with a digital core – not to be confused with digital core banking. Yes, the core of the banking ecosystem has been replaced while you were not looking. Chris Skinner, acclaimed strategist on the financial markets, defines digital core as “the removal of all bank data into a single structured system in the cloud.  The data is cleansed, integrated and provides a single, consistent view of the customer as a result”. Of course whether it’s in a cloud or on-premise is a delivery question – the main proposition here is that there is a definite need for a system which can sit in the middle of the banking ecosystem and enable the organization to gain unique insights on the value it provides to the ecosystem

The ecosystem is not only the customers and would include partners and suppliers as well. These insights can progressively be based on each micro-activity and this is where banks become perfectly dynamic and contextual for their customers. This brings me to my conclusion that the final step in true digitalization would be to understand the extent of value exchange at each and every touch-point within your ecosystem. However, for starters, getting a middle-office system which can speak to upstream and downstream systems and still give you the flexibility to react to your market, would be the way to start your digitalization journey. That in my opinion is a partial answer to the question we asked ourselves at the beginning of this blog – “What is the best way to implement digital banking?”

Tathagata Kandar

Tathagata, or Teekay is a marketeer working in the financial services domain. He can be reached at @TathagataK.

Banking and IoT – You cannot ignore being a part of IoT anymore

Ignoring IoT could be perilous for banks, as changes in consumer demand and an overriding threat from fintech revolutionaries shakes up the financial industry landscape. Entering this new era of connectivity, it is imperative that banks reassess the use of constant flow of information, which brings a whole different perspective of Big Data.

Moving with the times, and the technology!

The implications of IoT are being felt, none more so than by the financial industry. Gartner forecasts that, on a worldwide basis, “Endpoints of the Internet of Things will grow at a 32.5% CAGR from 2013 to 2020, reaching an installed base of 25.0 billion units.” That’s a lot of data. Be it smart cities, smart cars or smart homes, banks will have a substantial role to play in coming up with major innovations in customer relationships.

In the next decade, how we look at banks, with respect to IoT, will be completely undermined.

Are banks lagging behind?

Are banks equipped with the right analytical techniques to make use of these large troves of data? Can they find patterns and trends to reach a whole new level of customer experience?

Bankers admit they seriously lag behind other industries when it comes to IoT. A survey by Verizon and SourceMedia found “a mere 13% of banks were implementing an M2M (machine to machine) solution, which means they’re a whole generation behind from certain key sectors like automotive, smart homes, health etc. which have already mainstreamed IoT.” The image below further drives home the point that the penetration of IoT in financial institutions seems to be minimal in the current scenario.

Banks are in grave danger of losing out to the revolutionary fintech innovators and will soon find it impossible to be in touch with their customers. Their notorious legacy systems and the siloed nature of data is a bane that needs to be done away with, sooner rather than later. No wonder, banking/financial executives worldwide predict IoT per-company spending for their sector would grow to $153.5 million by 2018, up nearly 31% from $117.4 million in 2015.

As an example of financial institutions that have indeed taken the first steps towards implementing IoT, Bank of America and U.S. Bank have tied up with Samsung in order to integrate their new iris scanner into mobile banking apps. Visa — partnering with Pizza Hut and Accenture — is working on a proof-of-concept connected car to test mobile and online purchases on the go. Similarly, ‘Groceries by MasterCard’, an IoT application available with Samsung Family Hub Refrigerators, allows effortless purchasing of groceries. Check out the video –here

In the offering

An example of the collaboration between the financial industry and IoT is the projected deployment of sensors. These sensors leverage big data and AI to solve wide ranging customer problems and improve banking efficiency.

As we move to the future, the marriage of Banking and IoT will not only help to improve risk management, reduce cost and improve operational efficiency, but also create customer delight and generate cross sell opportunities. Also, the most obvious IoT application for banks seems to be in payments.

Further to enhancing the customer experience, banks must look at improving customer stickiness and customer loyalty in the long run in order to increase market share and ultimately, customer share of the wallet.

But banks needs to be cautious

As is with every path-breaking technology, banks needs to be cautious in the way they accommodate IoT. Privacy concerns, the way banks store and use the accumulated data, should be at the forefront when banks try to mitigate the adverse effects of data storage. To add to this, implementing the latest security measures to make sure that the data is safe and secure will be key.

But before banks jump on the IoT bandwagon, these changes need to be complimented by major advancement in the network infrastructure and big data analytics. The massive scale of data must be integrated with in-depth analytics to assess the true nature of customer experience.

Looking to the future

Customer insights can come from all quarters- be it traditional channels or new-age technology like smartphones, wearable devices, etc. These can enhance the way banks not only understand their customers’ needs and habits but also the way a bank interacts with them, potentially transforming what they offer to their customers.

IoT will soon complement the banking and financial services – a landscape driven by the quality, personalization and customer convenience. With its limitless possibilities, it can surely improve the bank’s overall performance, making it an indispensable part of financial industry in the times ahead.

Aditya Kapoor

Aditya is a marketing strategist and leads the digital marketing division at SunTec Business Solutions. He enjoys all things marketing and can be reached at [email protected]

Algorithmic Banking – The future of retail banking landscape!

In April 2015, HDFC started using algorithms to disburse retail loans. “This will change the way in which retail lending is being done in the country,” said the bank’s executive. We might have come a long way in implementing technologies to help the banking industry, but we’ve hardly turned a corner when it comes to harnessing the true value of algorithms, the premise being discussed here.

What is Algorithmic banking?

Algorithmic banking will take the use of algorithms in retail banking to the next level. Simply put, algorithmic banking is the use of complex mathematical algorithms to drive better business decision making. But you’ve already heard this, right? Not quite. When you encapsulate big data and advanced predictive analytics with process-level automation, you drive competitive differentiation and create a niche for yourself. This helps deliver an efficient, flexible and unified customer experience orchestration.

If you’ve read our previous blog on Banking and IoT, we’ve discussed the need for retail banks and smart technologies to exist in unison. Smart machines, the emerging “super class” of technologies, bring in smart data discovery. The opportunities defined from these large troves of data is the starting point towards a comprehensive analytical decision making, which is where algorithmic banking comes into the equation. Its true impact though is yet to be felt.

Potential implementation and industry trends

Algorithmic banking finds a basic and primary use in offer management, by utilizing customer-specific knowledge to customize and deliver real-time offers. Integrating IoT with banking hugely increases data volume, and deep level algorithms are needed to not only find out what might the customers want next but also how effectively can this ‘want’ be fulfilled. This also opens up avenues for cross-sell promotions and product promotions.

One other important use of algorithmic banking would be in pricing optimization. This will help in targeting the best possible customer segments based on pricing strategies, and ensuring banking personnel optimize sales in a multichannel environment. Additional functionality like a price guidance system, to help the sales team, will also help in increasing margins and revenue.

Investment banks and hedge funds already use algorithmic trading using automated pre-programmed trading instructions, accounting for variables such as time, price, and volume, to execute large orders. This has not only reduced human intervention and brought down costs, but has also increased the risks on lightning fast decision making in banking.

The retail industry is one where the use and implementation of algorithms is expected to be much quicker as compared to other industries. Data-driven retailers capture new information about their shoppers every day and can devise new ways to use that data to complement the customer experience.

The transformation – Value and Impact

Algorithmic banking, following on from the synergy between IoT and banking, will transform retail banks into dynamic and digital entities and provide real-time micro analysis. For example, customer-facing bank branches and call-centers will embrace algorithms to enhance their customer support activities. Just imagine being able to know what the customer wants even before the customer asks for it.

Although the current usage and adoption of full-fledged algorithmic banking is practically non-existent, it is predicted to transform the banking foundation in the next five to ten years. This will require humans and smart machines to work alongside each other in the initial stages. But, expect these smart machines to replace humans, bring in a high level of predictability and effectively track customer behaviors.

The pitfalls banks need to cautious about

Much of what has been discussed above about algorithmic banking significantly involves IoT. A sense of perspective and caution needs to be attached to where all can algorithms lead the banking industry to.

Effective banking involves providing the best experience to the customers. Customer’s response, on the other hand, is ever-changing and dependent on a host of factors and variables. Algorithms can use only a handful of such variables, with heavy dependence on them, and often the contextual information that really matters, isn’t considered.

Algorithmic banking can seem to border on privacy issues and may even backfire if the customer’s trust is risked in any way. It may also lead to complacency issues by quantifying large data, and hence leading bankers to believe that they know everything about the customer. A false sense of ‘know-all’ can be harmful in the long run and deter customers.

What the future holds

Algorithmic banking will change the way we see banks. The influx of smart machines, smart learning and smart data will eventually lead to smarter banking. This will involve the deepest-level of analytics and use of the most sophisticated algorithms to come with information that will not only solve customer’s banking problems but, in a way, delight the customers. But retail banks, already grappling with IoT and its intended effect, need to take a step back and visualize the full potential of algorithmic banking before trying to implement it. The customer experience transformation is some way off, but the introduction of IoT in banking is just the start.

Aditya Kapoor

Aditya is a marketing strategist and leads the digital marketing division at SunTec Business Solutions. He enjoys all things marketing and can be reached at [email protected]

Telecom battleground – Is ‘Superior Customer Experience’ your weapon of choice?

How superior customer experience can help telecom operators differentiate themselves in the age of commoditized products and services

It’s a jolly time to be a telecom consumer! You’ve seen the plethora of advertisements, right? Free calls, cheaper data, lower rentals, innumerable plans to choose from and what not. Look closely. Is that all a customer wants? And, is that all a telecom player can offer? In wanting to outdo each other to gain more customers, major telecom players are turning a blind eye to another critical aspect that can get them ahead in this race to win users – Customer Experience.

Where are we right now

Improving customer experience is no longer a feel-good advantage provided by telecom organizations, but a major business priority. Many digital and communication service (henceforth referred to as DCS) providers offer similar services and products. But differentiation based on product and pricing alone can take them only so far ahead. Also, with stiff competition from OTT players, telecom majors are losing sleep over unmatched revenue expectations and decreasing customer acquisition rate.

Digital technologies and innovations in the telecom domain have changed the way users consume products and services. This has heightened the expectation level of the consumer on the user experience front. Users expect quality experiences, and telcos should duly oblige, sooner rather than later. The interesting fact is that the value on offer will still include product features and services on offer, but will also include the customer experience aspect. It is this trifecta that will decide the leaders and followers in the telecom domain in the times ahead.

The telecommunication industry has been lagging behind

A KPMG Nunwood’s Customer Experience Excellence Report leaves the telecom sector positioned second from the bottom among all major industries in customer experience ranking. Backing this fact is an IBM executive report on telecommunication, which states that “Only 30 percent of telecommunications executives believe they have a high level of customer understanding”. In the same report, more than 50% of consumers considered their providers average to poor in a host of basic areas.

But, not all is so dull and gloomy. Tesco Mobile, only one of two telecom companies in the top 100 in the KPMG Nunwood’s Customer Experience Excellence Report, has been particularly successful in implementing customer satisfaction and keeping the customer at the focal point. Its message is in sync with what the customers want and is in line with the actual experience being delivered. With a well thought out social media strategy and knowing how the needs of their customers differ with different channels, Tesco Mobile is well-known in providing customer experience orchestration.

Legacy systems hurt

The IBM executive report on telecommunication captures a telecommunications chief marketing officer from Spain: “Being at or above par in terms of price and quality only gets you into the game. A distinctive customer experience wins the game.” There is a major hurdle that needs to be navigated first though.

As usual, legacy systems are top of the pile. Vinod Kamat, VP at Vodafone Essar says: “However, there is need to address a few challenges such as flawless data migration from legacy systems and ensuring information security and data privacy to have wide adoption of cloud platforms”. This thought is echoed by a telecommunications chief marketing officer from USA (in the IBM executive report on telecommunication), who says: “The omnichannel experience is where we can reconnect with customers, provided we can transform our multilayered and siloed organization into a harmonic ecosystem.”

The first step

DCS providers need to ensure that their differentiated services deliver the optimum user experience. But, many executives simply have no idea where to start. The ideal first step would be to map the customer experience journey with the brand. Doing this will help uncover not only the interactions that consumers have with the brand but also their pain points that will need addressing. This can help build a better product and a point of differentiation.

The ultimate result will be seen in the value delivered to the customer. McKinsey & Company states that:

The early the companies get into this, the easier will it be for them to have a foothold.

But, this is only the start

In the ultra-competitive and complex DCS industry, customers are looking for a provider that will help them achieve their day to day goals and solve their problems more effectively than others. Customer experience rules in this era defined by digitization. Thus, providing a seamless user experience across multiple touch points must be the ultimate goal of a winning value proposition.

This can be achieved by analyzing and continuously spotting consumer behaviors in real time and providing innovative and contextual products and offers. Telecom companies, simply not known to offer decent customer service, need to start putting the customer as their focal point of everything they develop and eventually offer. Doing so can help them rebuild their reputation and reboot the telecom customer experience, improving brand loyalty along the way.

All this, channelized with proper strategy, will position the DCS providers perfectly to win this war. After all, the customer deserves a fruitful experience, not just freebies, right?

Aditya Kapoor

Smart Data Discovery – How smart can we become in the future?

A look into the future of BI and how it can help enhance business value.

Smart data discovery sounds simple enough but can be tough to explain. It essentially means exploring data in a less-than-structured way, to discover hidden patterns and trends for maximizing business impact. This is a relatively new BI trend that empowers users to perform self-service analysis- data preparation, native language queries and automatic creation of visualizers. The term ‘smart’comes into play because this functionality is provided based on artificial intelligence (example: IBM Watson).

What is Smart Data Discovery?

Data discovery was always a case of building data models and/or writing algorithms. Not anymore! ‘Smart’ data discovery is a next-gen data discovery potential by readily finding and presenting data through visualization and machine-generated narration. Smart data discovery is an encapsulation of predictive analytics, interactive data visualization, pattern matching and machine learning to produce automated decision support.

Smart data discovery comes in many avatars, namely search-based, visual-based and graph-based. It is interesting to note that although new and improved techniques are introduced (and replaced) frequently, the methodology used to analyze data has remained more or less the same over the years. The biggest change that has been noticed is the automation of these methodologies via the introduction of smart data discovery tools. Smart data discovery can provide quick insights, while advanced data visualization tools help provide new levels of granularity in a single interface.

The following activities denote the future smart data discovery flow:
Source: Gartner 

The opportunities and industry trends

Smart data discovery will take Business Intelligence to the next level, primarily because of its ease of use and the ease with which it helps users to find new insights in data. Data discovery tools in the past have been highly manual and made it next to impossible to trace every possible combination and pattern. Future business intelligence platforms will incorporate smart data discovery at its root. This will help in obtaining deeper insights into a broad range of business fields.

Banks can use this to enhance the contextual offering to the customer, and deliver it even before the customers asks for it. With banking and IoT in sync, this will become rather a prerequisite. Also, as the regulatory reporting environment for financial institutions evolves, smart data discovery solutions will help banks in report preparation. The complexity of retail banking structure makes it a prime target to further expand this newest form of technology. Recently, BeyondCore implemented smart data discovery analytics at First Interstate Bank

Smart data discovery can also help retailers to analyze consumer trends in real-time and come up with tailored products and services to capture customer attention and deliver seamless customer experience orchestration. It will ease decision making and help retailers compete better in the digital marketplace. MasterCard and McDonald’s are looking at the complete implementation of smart data discovery to optimize customer analytics.

IBM Watson is considered by most as the flag-bearer for smart data discovery. The thing to note, as seen from the plethora of advertisements by IBM, is that the technology is spreading in every business domain and every industry and will have a tremendous impact. Also driving this new world revolution are SAS and startup vendors such as BeyondCore, DataRobot, DataRPM and SparkBeyond.

The roadmap for a smart data discovery model looks like this:

The transformation – Value and Impact

According to a Gartner report, many forms of data discovery will converge and form the modern data discovery platform. Accordingly, smart data discovery will help deliver granular insights to a broader set of users, not only data scientists. There could also be a case of imbibing traditional data analytics and BI setup with the new and upcoming smart data discovery platforms.

Although the usage and adoption of smart data discovery is picking up, it cannot be overlooked in the times to come and is predicted to transform the analytics and BI platforms in the next two to five years. This will require data scientists to focus only on the smart findings which require further strengthening or analysis. This will not only reduce computation time but also enhance business value. Imagine what banks could do and offer the finest of data discoveries. The speed at which smart data discovery will develop in the near future will have huge impacts on almost all industries. It’ll help push the right information to the right user at the right time.

What the future holds

While the scale and frequency of data creation present significant data management challenges, it also provides opportunities to develop insightful analytics. Smart data discovery methods provide highly contextualized results for the most tailored use cases. Rita Sallam, research vice president at Gartner, says: “This evolution will likely facilitate accelerated growth of the citizen data and make new sources of information accessible, consumable and meaningful to organizations of all sizes, even ones that don’t have extensive advanced analytics skills or in-house resources.”

Smart data discovery is the beginning of a revolution in Business Intelligence. The current data discovery and visualization tools will get smarter, requiring minimal analytical expertise to help move the business user quickly from questions to insights. Proper guidance in this regard will lead to greater information gathering, better decision making, simpler analysis and ultimately to proactive insights. This is the future, the ‘smart’ way!

Confluence 2017 – India host the world’s Digital Leaders meetup.

The first day of Confluence, the global gathering of banking and telecom executives, which blends the traditional and the digital, kicked off today on the shores of the South Indian Ocean. Board level executives and technology experts gathered in Kerala to learn from each other how digitisation, which is sweeping through so many of their industries is likely to affect them even more over the coming years.

Over the next three days, some of the world’s finest business minds will use the Confluence event to focus on how to harness the cross-sector digital innovation some are calling Industry 4.0. Amongst those to address Confluence this year are industry analysts from the US, private bankers from Eastern Europe, senior corporate advisors and the Venture Capitalists who have fuelled India’s recent rise to the top table in tech.

Day One keynote speaker, Ram Charan, is a world-renowned corporate strategy advisor and CEO coach. His counsel is sought by global business leaders, including the legendary Jack Welch, who presided over the famous turnaround of GE. Welch once described Ram as “His secret weapon” because “He has the rare ability to distil meaningful from meaningless and transfer it in a quiet effective way”.

Tonight those in the audience were treated to a carefully crafted presentation, which used old school document reading, projected like the foils of yesteryear’s university lecture halls. His core message is about dedication to the cause and he is on record that goal setting is a waste of management time, preferring instead that leaders follow through on directions thoroughly.

Charan’s main points were to think ‘Outside In’, taking the customer as the driving force for the fourth industrial revolution. He cited the leading digital-first companies who manage their general expenses costs down to less than 1.5%. using a combination of automation and algorithms.

They do however spend way more on IT. Whereas traditional IT budgets were up between 1% and 3% of revenues, he referenced some firms spending upwards of 20% to maintain their global leadership. They spend this though not just to cut operating costs, but to gain ‘flow’ of information, mostly to sense what their customers expect of them.

This fourth Industrial Revolution is in full flight according to Charan and its repercussions are unseen by many. It can lay waste to mighty brands like Nokia, Blockbusters and others, but it cannot be ignored.

Just as the beautifully calm Indian Ocean can fall prey to unannounced tsunamis, so too digital technology has the potential to disrupt those unaware of, or unprepared for, its potential. This lesson was not lost on the audience. Despite the luxurious surroundings, Confluence delegates come seeking answers from global visionaries who look deeper, see farther and anticipate change better than most

Competitive Agility – Evolve faster

“A ship in harbor is safe — but that is not what ships are built for.” — John A. Shedd

In today’s world, this can be taken even further. Banks are dead the moment they want to play it safe. The need to innovate is ultimate in the digital world where customer needs and requirements are highly contextual. The traditional banking products have become commoditized and all financial service providers have them in their portfolio. The only way to differentiate yourself and stay ahead of the curve is by innovating constantly – both from a product and a service perspective

Agility has become a much overused term these days – however, clichés are so for a reason. Agility in general and competitive agility in particular is essential for banks to survive. But how can a bank remain agile with legacy systems worth decades while the smaller, newer fintech firms have flexible technology to bring any change necessary within days.

Before getting into the ‘how’, let’s discuss the ‘why’ for a bit. Most corporate banks are of the opinion that since their customers are corporations, they are equally burdened with legacy systems and therefore cannot react as much as a retail customer. However, recent researches have broken this myth. Depending on the industry, organizations are agile to different degrees but all of them are looking at process, product or service innovation in some form.

Especially in a digital banking context, most organizations expect their banks to be agile enough to handle digital products which are highly context specific. Process agility has a big role to play in such an environment. In addition to this, most banks are currently trying to become customer owners where all other services become part of the ecosystem. In this scenario, the banks handle the overall experience for the customers – therefore agility becomes an essential requirement.

So how does a bank become agile? Here is how this works. While gaining insights into the customers’ experience is important, the driver of an agile and fast paced set up requires a perfectly well-oiled system to assimilate the insights into the workings of the organization. This is especially true in today’s connected environment, where multiple teams deliver multiple services with a diverse customer base. It therefore becomes important that the insights gained through customer surveys, market trends, social media feedback, user reviews, quickly find their way into the functional cycle of the organization’s services.

With the legacy systems currently in place, the only way for banks to move forward without complete overhaul of their systems is to implement a middle orchestration layer which can ‘talk’ to both downstream and upstream systems thereby obtaining the data from the siloed systems, translating them into insights and finally determining and managing the experience through the customer facing systems.

Competitive agility is something which corporate banks cannot live without anymore. So whether they want to do it is a moot point. They rather need to make a decision on ‘how’ to implement such an organization. The time to act is now.

Tathagata Kandar

Tathagata, or Teekay is a marketeer working in the financial services domain. He can be reached at @TathagataK.

Don’t lose out to your competitors – Personalize offers at the right time.

You can’t just ask customers what they want and then try to give that to them. By the time you get it built they’ll want something new. – Steve Jobs

When was the last time you visited a video or record store? Consumers these days know exactly what they want and they don’t wait around. If you are not able to provide it immediately, you’ve lost the game – your customer has already moved on to your competitor. Spotify and Netflix obliterated the video and record stores market by offering products exactly when the customers were asking for it. The same is applicable for any industry – yes the banking industry too.

In this ever-changing world of customer 3.0, the bankers should be able to offer products before their customers start asking for it. Highly context-specific and personalized offers are the only way banks can keep their customers loyal in a world with extremely low switching costs. If you take 4-6 months to launch the offers your consumers are looking for now, don’t bother – they would have already gotten it from somewhere else. With the leaner, more agile FinTech players coming in, there is no dearth of banking service providers for your customer to turn to.

Banking is necessary, banks are not -Bill Gates

So the question remains, “How do you launch offers in the market given the fact that the average lifetime of an offer has reduced drastically to even a few months in some extreme cases.”

Agile Processes

The first and foremost way is to look at your internal banking processes. Starting from design to launch and then subsequent orchestration of the offer, everything needs to be seamless and automated. In a corporate banking scenario, the offer creation process needs to be completed much before you reach the negotiation table – with a couple of next best offers lined up. This means creating different variants for your offer along with profitability analysis and approvals. The business as well as technology has to move hand in hand for this to happen successfully and in an agile manner.

Analytics

Gone are the days when you can come up with an offer based on requirements gathered from the customer. If you do so, you have automatically become column fodder in an RFP and the deal is going to one of your competitors. You have to anticipate the requirements – this is where analytics comes in. Historic analytics will help you understand how corporates have used your products in the past. Coupled with this, you also need predictive analytics to interpret how macro and micro-economic conditions affect your customers’ business (along with other factors like what your competitor is offering in the market). And to top it off, you need prescriptive analytics to understand how you can best build your new offer and the effect it will have on your top and bottom line

Technology

Let’s get down to brass tacks. Technology will play a big role in how fast you can deliver on your promises. The idea is to create more agility into the system and this can only be done when the reins are with business rather than IT. The idea is to have multiple abstractions of the product layer.

In this scheme, only the technical products are maintained in the core banking and require intervention from IT. The next few layers contain variants of the technical products which the business can edit and change themselves. This allows you to be much more agile and immensely cuts down on the time to launch.

Currently, lots of banks have implemented such middle layer systems which can orchestrate a much faster time to market for all their products and offers. Banks cut down their launch time from 6 months to 2 days. Typically, these are the banks which have left their competitors far behind in the running.

Time is of the essence when you are wooing the next generation of customers. You need to act now!

Tathagata Kandar

Tathagata, or Teekay is a marketeer working in the financial services domain. He can be reached at @TathagataK.

Digital Banking – Are you in the right path?

Be a Digital Bank, don’t say you are one…

-Brett King, Industry Expert

Brett King has been one of the few people advocating digital banking long before it was fashionable. In a ‘not so recent’ blog, he pointed out a scorecard for banks who think they are digital banking. Check it out if you haven’t already.

Becoming a digital bank is on the lips of every banker worth their salt these days. However, most of them draw the line at being able to provide services on a digital platform. Being part of one of the companies deemed the leader in enabling an omnichannel experience orchestration; this is definitely much welcome news. However, digital channel is not the only component for a truly digital bank.

Being able to truly transform yourself into a digital bank means you have to inherently become digital. As Brett puts it in his blog – ‘Everyone’s job is digital’. Especially for a corporate bank, digitalized channels are probably a very small benefit to the clients. Therefore, most corporate banking segments think they are quite separate from the digital bandwagon. Comparing the complexities of corporate banking with the simplicity of a digital environment might seem counterproductive to corporate and FI bankers.

However, the Boston Consulting Group’s recent survey of corporate-banking customers worldwide shows how wrong these assumptions are. Corporates are not only open to transacting and liaising with their banks over digital platforms but also a majority are willing to switch—and even pay a premium—to work with banks capable of delivering the type of integrated, omnichannel service they’ve grown accustomed to in other spheres.

Corporate banks need to come up with a clear digital strategy and execute it immediately. However, there are still roadblocks which need to be tackled before a bank can approach a digital strategy. Some of them include:

  • Legacy Systems – Banks find it difficult to change their legacy systems to deliver the best possible digital experience
  • Product Prospecting – Banks require smarter and high investments to bring in the right technological advantages
  • Risky Transformation – As per Tower Group, risk associated by converting a core system is highest in banking (43%) because of the complexity and expense associated
  • Integration Woes – Integration capabilities with other banking process is a huge challenge for banks

Tackling these will be the first step in the right direction for banks who want to go the digital way.

The best way to tackle these challenges, short of an entire overhaul, is to add a middle orchestration layer which can translate between the customer facing and the system layer – this will allow banks to cater to the digital requirements without taking huge risks.

Some corporate banks have already achieved this with use of products like Xelerate. Others are following suit.

Tathagata Kandar

Tathagata, or Teekay is a marketeer working in the financial services domain. He can be reached at @TathagataK.

Section 15 – The silent revolution in GST.

Quietly in the midst of huge volumes of the draft act on the all-important Goods & Services Tax, Section 15(1) elaborates the aspects of Valuations & Related parties. The section goes on to bring out the view that “the value of a supply of goods and/or services shall be the transaction value, that is the price actually paid or payable for the said supply of goods or services where the supplier and the recipient of the supply are not related and the price is the sole consideration of the supply.”

The section brings out other important aspects like:

  1. Price shall be the sole consideration of the sale. No other benefit either in cash or in kind shall accrue to the supplier of goods or services
  2. ‘Related person’ as a term is not defined in VAT and the current version of Service Tax. In Central excise the definition of Related party is quite limited, therefore opening a whole new world of related party management
  3. Transaction value should establish that the value of the transaction is not influenced by the relationship between the supplier and the customer

This opens up a whole new Pandora’s box for the banking industry. When we deeply analyse and contextualize that to banking scenario, we can clearly identify the need to link every service charge transaction to validate whether the customer is a related party, to assess whether there was a benefit that was passed on during the transaction, and finally to calculate GST at the gross value of the transaction. This is easier said than done. Banks would therefore be required to build up capabilities around the following on an immediate basis, to be prepared for when the GST act comes into actual practice:-

  1. Create golden copies of fees &charges across products and services supplied by the bank
  2. Ensure capturing of “Related Party” information at the customer level
  3. Link the customer information to each and every charge transaction
  4. Validate if the transaction is getting any beneficial value due to the relationship
  5. And finally, compute taxes based on the gross value of the service as defined in the golden copy

Besides related party, the section also covers the important aspects of arriving at “Transaction Value”. While it is going to be difficult to assess the value of a transaction in banking or financial services context, one of the most interesting explanations has been on the Value creation that is happening implicitly. An example to quote would be of the implicit value creation in promotion of a movie as part of a TV chat show. In this example, the production houses of neither the movie nor the TV chat show are accounting for the perceived value that shall be generated as part of the promotion.

Organizations therefore must give due weightage in understanding 2 critical aspects of the draft GST Act (Related Party impact & Valuation of Transactions) and automate the life cycle of the transactions.Banks need to invest in solutions that can help them get to the minutest detail of each and every transaction and easily handle different aspects like centralized copies of charges, exemption rules, and related party management through automated processes. While compliance to the new act is of key importance, automating the processes will ensure operational efficiencies and faster time to service the customer. At the end of the day, in the wake of preparing to comply with new regulations, banks definitely cannot lose focus on the aspects of customer convenience and experience which is of utmost importance in today’s fast-moving world.

Xelerate for GST”, by SunTec Business Solutions, is and end-to-end solution that takes care of banks’ business needs around the GST Act. Please click here to further explore on how SunTec can partner with your organization in the journey towards GST compliance. http://bit.do/xelerateforGST

Siva Subramaniam

Product Head – Banking & Financial Services