Skip to main content

Are product silos in a bank inevitable?


Silo thinking
 is often frowned upon in the industry. It is often a synonym for bureaucratic processes and politics and in almost every article describing the threats of new innovative Fintech players on the banking industry, the strong bank product silos are put forward as one of the main blockages why incumbent banks are not able to (quickly) react to the changing customer expectations.

Customers want solutions to their problems and do not want to be bothered about the internal organisation of their bank. Most banks are however organized by product domain (daily banking, investments and lending) and by customer segmentation (retail banking, private banking, SMEs and corporates). This division is reflected both at business and IT side and almost automatically leads to the creation of silos.

It is however difficult to reorganize a bank without creating new silos or introducing other types of issues and inefficiencies. An organization is never ideal and needs to take a number of constraints into account:

There are a lot of overlaps between products, services and customer segments

Some examples:

  • A PFM/BFM tool requires services of all product domains

  • For a professional or owner of an SME company, the split between his personal (retail or private banking segment) and professional banking (SME banking) is not that obvious

  • Many products and services offered to 1 customer segment are also offered to another (e.g. a private banking customer still needs the standard retail daily banking services)

  • Across domains there are a lot of common processes and features, which can be shared, e.g. user and role management, notification management, consent management, manual task management, digital signature management, document management, document generation…​ Cfr. my blog "Calculation engines in Financial Services - A key differentiator in the business strategy" - https://bankloch.blogspot.com/2021/02/calculation-engines-in-financial.html.

No organisation is ideal

  • In an end-to-end product organisation, the Business and IT teams for a specific product are end-to-end responsible for the delivery (and improvement) of this product. This makes coordination simple and guarantees end-to-end ownership, but it also gives several issues, e.g.

    • Each product team creates its own services for reporting, notifications…​

    • A lot of overhead in skills is required (e.g. for delivering a new product you need UX designers, product managers, business analysts, web developers, back-end developers, mobile native developers…​)

    • The separation per product team can lead to inconsistent channel experiences (e.g. differences in look-and-feel between products and between different channels)

    • It leads to the creation of Product Silos introduced above, i.e. it becomes difficult to create services and products which are transversal across multiple product silos

  • A solution to the above issues, is the setup of shared services. These are teams that deliver generic services, used by multiple product domains. Typical examples are the channels team (building all distribution layers), the integration (middleware) team (building all integrations between different applications and with external partners), the infrastructure and operating system team, the database administration team, the customer reporting team (managing generation of all reportings/statements to customers)…​ This means a project (or even a product) becomes a bundle of components designed, built and maintained by different shared services. While this ensures consistency and allows an easier setup of transversal products and services and a more efficient resource allocation, this comes also with a lot of issues:

    • The most important and often neglected disadvantage of this setup is the lack of commitment and ownership to the end-to-end product or service. As people working for a shared service are not directly involved in the end-to-end product, it is difficult for them to get them enthusiastic (and go the extra mile) about the end result, because for them it is just one more task in a backlog. This is even further enforced, when communication with these shared service teams is done via ticketing systems and when those teams are outsourced. At that moment, the objectives of the shared service team and the product team are no longer aligned.

    • Difficult to manage capacity of these teams. As these teams will be solicited by multiple feature teams, each having their own planning, the required capacity can become very bursty. Theoretically this should be solved by rapidly scaling up and down these teams, but in reality a ramp-up is costly as it takes time to find and train people. When this investment is done, it becomes hard to justify a ramp down a few months later. As a result, most shared service teams have a quite fixed capacity, which means that a shared service team providing 1 component might block an entire project if they have insufficient capacity.

    • Central components need to serve the common needs of all "shared service clients". Any structural change to the component (e.g. to API) will require adaptation and regression testing of all clients of the concerned component. As such shared service teams will avoid this as much as possible. The result is that shared service teams offer a standardized catalogue of services with little room for flexibility. This puts a constraint on the innovation delivered by the product teams.

  • Micro-service architectures and teams associated to a micro-service try to be a compromise between full product teams and the use of shared service teams. A team responsible for a micro-service will also deliver a specific (business) function, which is usually not linked to a product or customer segment. However contrary to shared service teams, which typically try to combine people with similar skills, a micro-service team still delivers an end-to-end functionality and thus combines multiple expertises. Examples are an authorization and authentication system, a digital signature system, a pricing engine, a product engine, a recommendation engine, a credit origination service, an interest calculation service…​ This has as advantage that there is again end-to-end ownership and that commonalities between products and between customer segments can be exploited, but it can lead to technology sprawl (as each micro-service team has a choice in technology) and also here it is difficult to manage capacity (as the work to be done on a micro-service is not constant over time). This last issue can be addressed by a change in the budget allocation processes. If every micro-service team has its own fixed budget and own defined roadmap, it can use this budget also for refactoring when there is less business demand and to suggest innovations (functional or technical) themselves, when no demand comes from business product managers. This gives additional autonomy and motivation to these teams.

  • Flexible organisations (matrix structures) which adapt continuously for projects. These organizations adapt themselves continuously in the need of projects. This means a project team with different profiles are combined (mixed teams of business and engineers) together for a specific period of time to deliver a project. During that period, these people are maximum (ideally even 100%) freed up of any other work, so that they can be fully committed to the project. This means ideally that during the course of the project, their hierarchical manager also becomes the project manager to avoid any conflicts. As a team, you are together responsible to deliver the project and anyone should take on a maximum of roles (taking into account each person’s expertise) required to deliver the project end-to-end. This model has as advantage a strong ownership for delivery and a good team bonding, but comes also with a number of disadvantages, i.e. it is difficult to take ownership of maintenance after the delivery of a project, it requires a high degree of flexibility of resources to get a different hierarchy and colleagues every X months and it is difficult to free up each team member 100% for each project (due to day-to-day activities, but also due to the fact that not all projects are delivered at the same moment and not all projects require the same amount of resources at every stage of the project).

Ultimately organizational structures and processes all come down to people, i.e. keep people motivated and facilitate collaboration between different persons in the most efficient way possible. Unfortunately, people’s behavior is impossible to capture in a process, slide or Excel file, even though many managers try this in some way. It is important to understand that people evolutionary have an "Us vs. Them" mentality (group favoritism), i.e. put a number of colleagues together, call it a team and you will see in a matter of days, that the group starts to differentiate itself from other groups. While this creates a group spirit and improves the group cooperation and motivation, it also means that cooperation with other groups becomes more difficult and a culture of inter-team blaming is established. Ultimately this leads to silo thinking and silo creation. Think about the typical discussions in a bank of Business vs. IT or projects shifting the blame of delays to other teams that (supposedly) did not deliver critical dependencies. Add to this different physical locations, different employee benefits, different KPIs, outsourcing (which means different teams working for different companies) and your silo forming is institutionalized.

Silo creation is therefore extremely difficult (nearly impossible) to avoid, but the creation of silos and their impact on the organization can be reduced to a minimum. Some practical tips that can help avoid or mitigate this silo thinking in a, organization:

  • Goal setting: it is good to set goals for your team, but just as important to set higher (cross-team) goals (typically a common ground can be found in the customer expectations). A goal can be a high level KPI or SLA but can also be a specific deadline. When deadlines are set top-down and defined for specific persons or teams, automatically people will start protecting themselves, i.e. finding reasons why a deadline cannot be met, adding contingency in the calculation of deadlines, blocking the switching of resources to other teams or refusing to support other teams (or team members) with their work…​
    However if objectives are set cross-team, the good of the firm will get priority. Obviously in a top-down organization setting objectives per team helps to structure the work, but it can have - as explained above - negative side-effects.
    The ultimate common goal for all employees are happy customers. As such a continuous monitoring and continuous iteration on the customer’s engagement and satisfaction are key.

  • Facilitate employee internal mobility: internal mobility ensures the creation of informal social graphs and very strong interaction points between different teams/departments. This will strongly benefit the cooperation between teams.

  • Avoid outsourcing work unless the benefits clearly outweigh the cost. In this digital world, IT is mission-critical for every bank and should therefore be considered as a core competence. Therefore outsourcing IT developments to teams working almost exclusively for you, should be avoided. In this case working with internal resources will ensure that all resources share common goals.

  • Hire good people and ensure fun work. Good people working in a pleasant work environment are more likely to put the good of the company first, rather than trying to protect (and improve) their own position.

  • Maximize transparency and standardization in HR policies, i.e. contract types, remuneration…​ Differences in HR policy between teams and departments automatically creates a gap and frustration as people tend to feel always disadvantaged (even if it is not justified, it still creates a negative atmosphere).

  • Maximize transparency in decision making, i.e. avoid as much as possible top-down imposed decisions, but instead start bottom-up to get the buy-in of all employees in a decision. Furthermore when a decision is made be very transparent and open to employees about why this decision was taken. Employees will understand much better a decision if they understand the rationale behind it.

  • Work more Agile with gradual and continuous improvements. This way of working ensures that everyone has a common (short-term) goal of serving the customer. Furthermore via continuous monitoring of these continuous improvements everyone can see the effects of their actions, making this common goal more tangible.

  • Work design driven by rapidly creating sample screen mock-ups and prototypes. This ensures that changes are made as tangible as possible and again that the common goal (serving the end customer) is visualized as quickly as possible.

  • Avoid "Processes/Procedures" overrun. In order to align multiple teams and persons, the most typical response of a large organisation is the use of "Processes/Procedures". Typically this leads however to less engagement of employees and ultimately to less efficiency and productivity, making it often contra productive. Obviously, a minimum of processes and procedures are essential for a good organization, but the processes and procedures should not become more important than the employees, the customer and the common sense.

  • Avoid a too strong hierarchy, i.e. facilitate as much as possible a flat organization, as this will reduce internal politics and conflicts and will facilitate working together to a common firm goal.

In practice this means transforming to a bottom-up organization, where each individual is trusted and decides himself how to maximum contribute to the good of the firm. This is done by fostering a culture of initiative, where ownership and creativity is rewarded and where (human) errors are used as a learning and improvement opportunity (how can this error be avoided in the future), rather than a crusade to find the person to blame. Additionally a strong company culture (identity) should be built, which supersedes the culture and practices of individual teams.

Let’s all work together to tear down those silos !

Comments

Post a Comment

Popular posts from this blog

Transforming the insurance sector to an Open API Ecosystem

1. Introduction "Open" has recently become a new buzzword in the financial services industry, i.e.   open data, open APIs, Open Banking, Open Insurance …​, but what does this new buzzword really mean? "Open" refers to the capability of companies to expose their services to the outside world, so that   external partners or even competitors   can use these services to bring added value to their customers. This trend is made possible by the technological evolution of   open APIs (Application Programming Interfaces), which are the   digital ports making this communication possible. Together companies, interconnected through open APIs, form a true   API ecosystem , offering best-of-breed customer experience, by combining the digital services offered by multiple companies. In the   technology sector   this evolution has been ongoing for multiple years (think about the travelling sector, allowing you to book any hotel online). An excellent example of this

RPA - The miracle solution for incumbent banks to bridge the automation gap with neo-banks?

Hypes and marketing buzz words are strongly present in the IT landscape. Often these are existing concepts, which have evolved technologically and are then renamed to a new term, as if it were a brand new technology or concept. If you want to understand and assess these new trends, it is important to   reduce the concepts to their essence and compare them with existing technologies , e.g. Integration (middleware) software   ensures that 2 separate applications or components can be integrated in an easy way. Of course, there is a huge evolution in the protocols, volumes of exchanged data, scalability, performance…​, but in essence the problem remains the same. Nonetheless, there have been multiple terms for integration software such as ETL, ESB, EAI, SOA, Service Mesh…​ Data storage software   ensures that data is stored in such a way that data is not lost and that there is some kind guaranteed consistency, maximum availability and scalability, easy retrieval and searching

IoT - Revolution or Evolution in the Financial Services Industry

1. The IoT hype We have all heard about the   "Internet of Things" (IoT)   as this revolutionary new technology, which will radically change our lives. But is it really such a revolution and will it really have an impact on the Financial Services Industry? To refresh our memory, the Internet of Things (IoT) refers to any   object , which is able to   collect data and communicate and share this information (like condition, geolocation…​)   over the internet . This communication will often occur between 2 objects (i.e. not involving any human), which is often referred to as Machine-to-Machine (M2M) communication. Well known examples are home thermostats, home security systems, fitness and health monitors, wearables…​ This all seems futuristic, but   smartphones, tablets and smartwatches   can also be considered as IoT devices. More importantly, beside these futuristic visions of IoT, the smartphone will most likely continue to be the center of the connected devi

Neobanks should find their niche to improve their profitability

The last 5 years dozens of so-called   neo- or challenger banks  (according to Exton Consulting 256 neobanks are in circulation today) have disrupted the banking landscape, by offering a fully digitized (cfr. "tech companies with a banking license"), very customer-centric, simple and fluent (e.g. possibility to become client and open an account in a few clicks) and low-cost product and service offering. While several of them are already valued at billions of euros (like Revolut, Monzo, Chime, N26, NuBank…​), very few of them are expected to be profitable in the coming years and even less are already profitable today (Accenture research shows that the average UK neobank loses $11 per user yearly). These challenger banks are typically confronted with increasing costs, while the margins generated per customer remain low (e.g. due to the offering of free products and services or above market-level saving account interest rates). While it’s obvious that disrupting the financial ma

PFM, BFM, Financial Butler, Financial Cockpit, Account Aggregator…​ - Will the cumbersome administrative tasks on your financials finally be taken over by your financial institution?

1. Introduction Personal Financial Management   (PFM) refers to the software that helps users manage their money (budget, save and spend money). Therefore, it is often also called   Digital Money Management . In other words, PFM tools   help customers make sense of their money , i.e. they help customers follow, classify, remain informed and manage their Personal Finances. Personal Finance   used to be (or still is) a time-consuming effort , where people would manually input all their income and expenses in a self-developed spreadsheet, which would gradually be extended with additional calculations. Already for more than 20 years,   several software vendors aim to give a solution to this , by providing applications, websites and/or apps. These tools were never massively adopted, since they still required a lot of manual interventions (manual input of income and expense transaction, manual mapping transactions to categories…​) and lacked an integration in the day-to-da

From app to super-app to personal assistant

In July of this year,   KBC bank   (the 2nd largest bank in Belgium) surprised many people, including many of us working in the banking industry, with their announcement that they bought the rights to   broadcast the highlights of soccer matches   in Belgium via their mobile app (a service called "Goal alert"). The days following this announcement the news was filled with experts, some of them categorizing it as a brilliant move, others claiming that KBC should better focus on its core mission. Independent of whether it is a good or bad strategic decision (the future will tell), it is clearly part of a much larger strategy of KBC to   convert their banking app into a super-app (all-in-one app) . Today you can already buy mobility tickets and cinema tickets and use other third-party services (like Monizze, eBox, PayPal…​) within the KBC app. Furthermore, end of last year, KBC announced opening up their app also to non-customers allowing them to also use these third-party servi

Beyond Imagination: The Rise and Evolution of Generative AI Tools

Generative AI   has revolutionized the way we create and interact with digital content. Since the launch of Dall-E in July 2022 and ChatGPT in November 2022, the field has seen unprecedented growth. This technology, initially popularized by OpenAI’s ChatGPT, has now been embraced by major tech players like Microsoft and Google, as well as a plethora of innovative startups. These advancements offer solutions for generating a diverse range of outputs including text, images, video, audio, and other media from simple prompts. The consumer now has a vast array of options based on their specific   output needs and use cases . From generic, large-scale, multi-modal models like OpenAI’s ChatGPT and Google’s Bard to specialized solutions tailored for specific use cases and sectors like finance and legal advice, the choices are vast and varied. For instance, in the financial sector, tools like BloombergGPT ( https://www.bloomberg.com/ ), FinGPT ( https://fin-gpt.org/ ), StockGPT ( https://www.as

Can Augmented Reality make daily banking a more pleasant experience?

With the   increased competition in the financial services landscape (between banks/insurers, but also of new entrants like FinTechs and Telcos), customers are demanding and expecting a more innovative and fluent digital user experience. Unfortunately, most banks and insurers, with their product-oriented online and mobile platforms, are not known for their pleasant and fluent user experience. The   trend towards customer oriented services , like personal financial management (with functions like budget management, expense categorization, saving goals…​) and robo-advise, is already a big step in the right direction, but even then, managing financials is still considered to be a boring intangible and complex task for most people. Virtual (VR) and augmented reality (AR)   could bring a solution. These technologies provide a user experience which is   more intuitive, personalised and pleasant , as they introduce an element of   gamification   to the experience. Both VR and AR

Eco-systems - Welcome to a new cooperating world

Last week I attended the Digital Finance Summit conference in Brussels, organized by Fintech Belgium, B-Hive, Febelfin and EBF. A central theme of the summit was the cooperation between banks and Fintechs and more in general the rise of ecosystems. In the past I have written already about this topic in my blogs about "Transforming the bank to an Open API Ecosystem ( https://www.linkedin.com/pulse/transforming-bank-open-api-ecosystem-joris-lochy/ ) and "The war for direct customer contact - Banks should fight along!" ( https://www.linkedin.com/pulse/war-direct-customer-contact-banks-should-fight-along-joris-lochy/ ), but still I was surprised about the number of initiatives taken in this domain. In my last job at The Glue, I already had the pleasure to work on several interesting cases: TOCO   ( https://www.toco.eu ): bringing entrepreneurs, accountants and banks closer together, by supporting entrepreneurs and accountants in their daily admin (and in the f