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Building trust in the new world of financial services

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Abi Acland, Business Consultant, Strategy & Analytics at Acxiom

Over the past decade, there has been widespread change when it comes to how people access financial services and how these services are delivered. In most cases, today’s banking experience does not take place at a physical branch but at the fingertips of customers on their mobile devices. This is all against a backdrop of evolving customer needs, due to the rate that technology is changing, and the way businesses operate. Customers expect their journeys, both online and offline, to be seamless, and this is where financial services providers must think about how they can build trust at every touchpoint and interaction.

In fact, according to a survey this year by PwC, sentiment in the financial services sector fell by the fastest rate since September 2019 (42%). At the same time, UK households are facing increasing financial pressures due to the cost-of-living crisis. This means the stakes are higher when it comes to customers deciding where they are going to spend their money, and financial services providers have an opportunity to make sure they are building trust and brand loyalty during these challenging times.

What good customer experiences meant in the ‘old’ pre-Internet world, and what has changed

Good customer experience is about building relationships with customers, and while physical interactions have decreased, data now offers the opportunity to build lasting relationships in a different way.

The market leaders in every sector are those that have got sophisticated in how they’re using data. It’s integrated into their product development and management, customer service, and retention. Overall, there’s not only the culture, but the tools in place to make decisions based on data. It’s how they’re able to speed up their time to market, get closer to their customers, improve efficiencies in their marketing, and build loyalty.

When it comes to the financial services sector, organisations know they need to be gathering data, but it can be unclear what kind. It’s not possible to collect personal data ‘just in case’, because it might one day come in useful. There must be a clearly defined use case, otherwise it needs to be deleted to stay compliant with data protection regulation. Not to mention the fact that personal data has a defined shelf life, and must be regularly updated if it’s to be valuable in any way.

Building a successful data strategy involves a degree of scenario planning – assessing what the data needs of the business are in the immediate, medium and long term – and from there, putting the right structures and processes in place to collect and manage the data they’ll need. This is not something that can happen overnight, and trying to do all this while operating the usual business functions adds to the complexity. But for those that can get it right, there are huge gains to be made.

How brands can build trust in a multi-channel digital world

But successful data strategies aren’t possible without consent and buy-in from consumers. In the ‘new’ digital age of financial services, providers need to build loyalty with customers by becoming their ‘trusted custodians’ of data – and this means having a clear understanding of the roles identity and security play in offering a good customer experience.

Providers need to be transparent with customers around their preferences for data collection and use. While regulations such as GDPR make this necessary from a legal standpoint, organisations should regularly be communicating with customers about their data, irrespective of this, and purely through a lens of building loyalty and trust. For example, they can open up conversations about what the cookie changes mean for them, the differences between first and third-party data, and how their information is stored.

In a similar vein, organisations need to continue making cybersecurity a priority, so customers understand that their data is being kept safe. By creating an open dialogue with customers, businesses can continue to build on the trust piece and make sure customers feel valued and engaged in a conversation about data protection.

Personalisation will always be key

Personalisation is key to building trust with customers in a digital world. The goal has moved from personalising face-to face-interactions, to tailoring every digital transaction – and at scale. Whilst most financial services providers will have personalisation as their goal and have been on this path for years, there are barriers to executing fully personalised strategies due to data siloes, an explosion of new digital data sources, or perhaps a lack of confidence in the quality or depth of data. Ironically, customers expect their banks to know them better than almost any brand – and yet banks often hardly acknowledge the relationship, let alone speak to their customers as if they understand the full scope of their relationship.

The sector needs to consider how they are engaging with customers across generations and establishing loyalty with them now. While the industry has generally tended to target those aged 30+, they need to do more to interact with young people. The next generation of spenders are coming up the ranks and they have little awareness of how they will deal with their finances, especially against uncertainties such as inflation and the cost-of-living crisis. The sector needs to think about how they personalise the journey for newer customers, to ensure they are future-proofing operations for upcoming generations.

The end goal: understanding customers better

So how can financial services organisations truly get to know their customers, and build trust using the right marketing technologies? Most commonly the tools used to execute decisioning are a combination of real-time data stores housing extensive databases, and customer data platforms (CDPs).

CDPs are a key way for providers to improve interactions with customers and to understand their financial needs better. They can be used to combine data streams from multiple sources, which target customers based on their behaviours and use predictive analytics to model future behaviours. This means customers can be reached in the right way at the moments that matter to them – all working towards building lasting loyalty, symbiotic dependence, and most importantly, trust.

Ultimately, choosing the right message for the individual and activating that message is crucial in the new age of financial services. Customers want to use products and services that are tailored to their individual needs. Financial services providers should consciously think about how they can understand the data they obtain from customer interactions and how that shapes the end delivery of their products and services.

With the use of the right technologies, building trust in the new world of FS will become easier and more successful for organisations, where data is the common thread that builds trust with customers.

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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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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