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MOBILE ONBOARDING AND PROCESS INTELLIGENCE KEY TO FINANCIAL SERVICES’ SUCCESSFUL DIGITAL TRANSFORMATION

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By Neil Murphy, Global VP at ABBYY

 

The latest BAI Banking Outlook identified three areas among the top business challenges and priorities for financial services leaders: new customer acquisition, enhancing the mobile channel experience and making better use of data about consumers to improve products and service recommendations.

Consequently, financial service organisations are digitally transforming every aspect of their business, from consumer facing mobile applications to back-office workflow optimisation, to meet the increasing demands of the market and maintain evolving SLAs and compliance regulations. But despite innovation also being linked to increased productivity and cost savings, many banks are not using artificial intelligence (AI) technology and automation to their full potential.

Here, we take a look at how mobile onboarding and processes intelligence can improve customer acquisition and enhance the experience.

 

Neil Murphy

Digitally Transforming Customer Onboarding

Consumers told BAI they want to be able to start in one channel and finish in another without starting over. This omnichannel experience typically starts with mobile, however studies show 40 percent of consumers abandon applications after initiating the process, which is contributing to the $98 billion (£77 billion) left on the table by companies who fail to provide simple experiences.

The reasons cited are complexity of digital forms and heavy requirements for manual typing as the biggest barriers when it comes to onboarding of customer information. Additionally, the requirement of the consumer to download an app in order to complete these processes often presents another barrier. Banks focused on eradicating these barriers to improve customer acquisition are enhancing their digital channels with more sophisticated mobile captures technologies.

With intelligent mobile capture, banks enable customers to focus their smartphone’s camera on payment slips, invoices, ID cards, passports, or other documents they are required to submit, and capture information directly into the fields of your back-end systems for further processing—no extra steps required to download an app. Mobile web capture solutions make it possible for customers to use a web browser on their mobile device to automatically capture images of documents in real time to quickly complete the sign-up and account opening processes.  This technology consistently enables banks to provide a smooth customer onboarding experience with higher completion rates.

AI technology is used to detect real-time mobile input of relevant data, provide speedy retrieval of image files, and minimize the steps required to fulfil a task for maximum ease of use.

The digital transformation of customer onboarding doesn’t end with customer acquisition. To be fully successful and earn customer trust and loyalty, financial institutions need to be able to track, monitor and take action on the processes customers are engaged in before they lead to a negative experience.

 

Process Intelligence Enhances Operational Efficiency


The financial industry is highly process oriented because of its service nature, however, banks struggle with the ability to completely review their processes. Most think they know how their processes work but it is often far from reality. It’s a critical pain point as organisations start to realise there are blind spots and they may need to diverge from original process. New advance machine learning technology called process intelligence (PI) will enable banks to analyse less structure processes, identify opportunities for improvement, increase the speed and accuracy of executing the process, all while improving the customer experience.

The industry is unique because of its complex workflows across different departments, people, and even locations. However, due to the intangible nature of the industry, these workflows are all well documented and recorded. Every action, event, or transaction is recorded in a log along with many other important attributes describing who did what, where they did it, and lots of other information about things happening operationally. These workflows typically span across different systems that do not all link together perfectly, thus creating silos of information and an incomplete picture of the businesses operations.

These factors in addition to the variable nature of the day-to-day processes of the industry make it hard for banks to figure out what the processes actually look like in an “as-is” state.

Without a clear picture into process execution, leaders have been unable to answer vital business questions due to the high levels of variability in the ways processes function. How do they ensure processes are being followed according to plan? How do they even know what those processes are and how they operate?

Process analytics delivers sophisticated insights gained from process data. With the right technology, leaders can now see a complete view of their end to end process in its “as-is” state. This is especially important when some of the largest contributors to waste in the financial industry are handoffs for approvals, requests waiting to be processed, and customers waiting in queues.

It’s important that you can find exactly where the problems in your process are occurring and not just that they are happening. Banks can easily discover the bottlenecks of their processes and where the process is taking deviations. This helps to uncover exactly where these handoffs are occurring and how long requests are waiting so that you are able to find more specific solutions to these problems.

Furthermore, financial services can use past and current performance to serve as a guide for future performance. Workers can feel more confident in their decisions and be guided by prediction, which is powered by machine learning, in order to have the best chances for success.

Whether it is with account opening, crediting, loan applications, payment, mortgage processing, or any other process, by focusing on mobile to acquire customers more efficiently, then tracking the various processes initiated by mobile and other channels, banks can effectively leverage AI in their digital transformation journey.

 

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Finance

Taxing times for online marketplaces? Operators must act now to avoid losing sellers

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By Niall Kiernan, Senior Director of Product Marketing, Vertex

 

In today’s digital landscape, online marketplaces are an enabler for many businesses to achieve their growth ambitions. From Amazon to eBay, Etsy to Vinted, businesses of all sizes are now utilising online marketplaces, and recent years has seen exponential growth in this area. Numerous factors, including the proliferation of mobile devices and widespread availability of high-speed internet, have resulted in this escalation. Combined with consumer demand for convenience, along with the impact of the pandemic, the success of online marketplaces can be seen in the numbers. In 2021, retail eCommerce sales amounted to approximately US$ 5.2 trillion worldwide. This figure is forecast to reach US$8.1 trillion dollars by 2026.

It is clear that online marketplaces are a vital source for businesses to continue to flourish but there are still major roadblocks which can hinder a business’ efforts to capitalise on the booming sector. According to research commissioned by Vertex, which surveyed 479 finance professionals globally, seven out of ten sellers using marketplaces to trade online believe that indirect tax challenges could deter them from using them again in the future.

The complexity of ensuring a frictionless eCommerce experience

Whilst over half of respondents in the survey agreed that marketplaces are getting easier to use as a sales channel, ensuring that both operators and sellers can enjoy a frictionless experience is one of the biggest challenges in the space. Respondents indicated that they are looking for more support and guidance on issues including: how to ensure transactions and the transfer of money can be more seamless (65%), tax liabilities (64%), and compliant invoicing (63%). But what are some of the specific roadblocks both marketplace operators and sellers are experiencing?

  1. The cross-border trade conundrum

85% of marketplace operators surveyed indicated that they are looking to increase their seller base, however there are numerous tax complications when trade crosses borders. Four out of seven operators stated they have struggled to manage tax liabilities and tax complexities around seller shipping locations. Online marketplaces are very much a global affair, with cross-border transactions being the norm.

The difficulty here is that both operators and sellers must comply with the different tax regimes of the countries they operate in, which can be a complex and burdensome process. Seller respondents reported a wide range of issues when they sell through marketplaces, including balancing their tax liabilities and knowing where and when they are liable for tax.

  1. Complexities in every step of a transaction

Dig beneath the surface and the process of a transaction is much more complex than initially meets the eye. From listing fees to shipping and handling charges, or the previously mentioned cross-border trade complexities, every step in the transaction process brings multiple challenges to both the operators and sellers themselves.

45% of sellers surveyed want their marketplace operators to improve the process of finance and tax automation to overcome these barriers, but of the operators, only 56% manage all tax liabilities on their seller’s behalf. If marketplace operators want to ensure they have a healthy population of sellers, this figure needs to increase.

Tax technology for a trouble-free tomorrow

Although there are clear and significant indirect tax challenges for online marketplaces, the space remains an attractive channel for businesses to achieve their growth ambitions. 81% of businesses are taking advantage of online marketplaces to attract new customers and sell into more countries and upon further inspection, they attribute this expansion into marketplaces to reach a wider geographical market (57%), to being more competitive (50%) and to tap into cross-border sales opportunities (48%). It’s clear that sellers are wanting to utilise online marketplaces to expand their customer base globally and if operators want to increase their seller base and take advantage of the growing demand for this, and 85% of those surveyed do, then they need to ensure that their platforms offer a seamless experience for their sellers.

By investing in an end to end tax management solution which can handle all types of indirect tax requirements, you will be able to support sellers on their own individual growth journeys. In addition, you can rest assured that it will also enable them to feel confident that their chosen platforms can meet all the indirect tax requirements as they increase their cross-border sales.

To learn more about the taxing times for the marketplace and seller relationship, download the latest report by Vertex.

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Business

Unlocking the Power of Data: Revolutionising Business Success in the Financial Services Sector

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Suki Dhuphar, Head of EMEA, Tamr

 

The financial services (FS) sector operates within an immensely data-abundant landscape. But it’s well-known that many organisations in the sector struggle to make data-driven decisions because they lack access to the right data to make decisions at the right time.

As the sector strives for a data-driven approach, companies focus on democratising data, granting non-technical users the ability to work with and leverage data for informed decision-making. However, dirty data, riddled with errors and inconsistencies, can lead to flawed analytics and decision-making. Siloed data across departments like Marketing, Sales, Operations, or R&D exacerbates this issue. Breaking down these barriers is essential for effective data democratisation and achieving accurate insights for decision-making.

An antidote to dirty, disconnected data

Overcoming the challenges presented by dirty, disconnected data is not a new problem. But, there are new solutions – such as shifting strategies to focus on data products – which are proven to deliver great results. But, what is a data product?

Data products are high-quality, accessible datasets that organisations use to solve business challenges. Data products are comprehensive, clean, and continuously updated. They make data tangible to serve specific purposes defined by consumers and provide value because they are easy to find and use. For example, an investment firm can benefit from data products to gain insights into market trends and attract more capital. These offer a scalable solution for connecting alternative data sources, providing accurate and continuously updated views of portfolio companies. Using machine learning (ML) based technology enables the data product to adapt to new data sources, giving a firm’s partners confidence in their investment decisions.

Suki Dhuphar

But, before companies can reap the benefits of data products, the development of a robust data product strategy is a must.

Where to begin?

Prior to embarking on a data product strategy, it is imperative to establish clear-cut objectives that align with your organisation’s overarching business goals. Taking an incremental approach enables you to make a real impact against a specific objective – such as streamlining operations to enhance cost efficiency or reshaping business portfolios to drive growth – by starting with a more manageable goal and then building upon it as the use case is proved. For companies that find themselves uncertain about where to begin their move to data products, tackling your customer data is a good place to start for some quick wins to increase the success of the customer experience programmes.

Getting a good grasp on data

Once an objective is in place, it’s time for an organisation to assess its capabilities for executing the data product strategy. To do this, you need to dig into the nitty-gritty details like where the data is, how accurate and complete it is, how often it gets updated, and how well it’s integrated across different departments. This will give a solid grasp of the actual quality of the data and help allocate resources more efficiently. At this stage, you should also think about which stakeholders from across the business from leadership to IT will need to be involved in the process and how.

Once that’s covered, you can start putting together a skilled team and assigning responsibilities to kick-off the creation and management of a comprehensive data platform that spans all relevant departments. This process also helps spot any gaps early on, so you can focus on targeted initiatives.

Identifying the problem you will solve

Now let’s move on to the next step in our data product strategy. Here we need to identify a specific problem or challenge that is commonly faced in your organisation. It’s likely that leaders in different departments, like R&D or procurement, encounter obstacles that hinder their objectives that could be overcome with better insight and information. By defining a clear use case, you will build a real solution to a challenge they are facing rather than a data product for the sake of having data. This will be an impactful case study for your entire organisation to understand the potential benefits of data products and increase appetite for future projects.

Getting buy-in from the business

Once you have identified the problem you want to solve, you need to secure the funding, support, and resources to move the project ahead. To do that, you must present a practical roadmap that shows how you will quickly deliver value. You should also showcase how to improve it over time once the initial use case is proven.

The plan should map how you will measure success effectively with specific indicators (such as KPIs) that are closely tied to business goals. These indicators will give you a benchmark of what success looks like so you can clearly show when you’ve delivered it.

Getting the most out of your data product

Once you’ve got the green light – and the funds – it’s time to put your plan into action by creating a basic version of your data product, also known as a minimum viable data product (MVDP). By starting small and gradually enhancing with each new release you are putting yourself in the best stead to encourage adoption and also (coming back to our iterative approach) help you secure more resources and funding down the line.

To make the most of your data product, it’s essential to tap into the knowledge and experience of business partners as they know how to make the most of the data product and integrate it into existing workflows. Additionally, collecting feedback and using it to improve future releases will bring even more value to end users in the business and, in turn, your customers.

Unlocking the power of data (products)

It’s crucial for companies in FS to make the most of the huge amount of data they have at their disposal. It simply doesn’t make sense to leave this data tapped and not use it to solve real challenges for end users in the business and, in turn, improve the customer experience! By adopting effective strategies for data products, FS organisations can start to maximise the incredible value of their data.

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