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Q&A: Enhancing the employee experience in the banking sector

Source: Finance Derivative

As costs for everyday items continue to fluctuate and reports of company layoffs and budget reviews increase, economic uncertainty around the world has people on edge.

In banking, these dynamics all place a strain on services. A continued tight labour market also makes it difficult to fill open jobs and keep expertise and staffing at the rights levels.

Consumers too are dealing with a considerable amount of stress to make ends meet. When they reach out to banks, employees on the frontline often find themselves the undeserving targets of angry customers. People get anxious when they are unable to quickly resolve their financial questions. And this has an economic impact for banks too – angry consumers are more likely to air their frustrations on social media, leading to reputational damage.

On top of this, there’s considerable tension between banks and their employees as many are ordering return-to-office mandates, with JPMorgan Chase recently joining the list of many organisations making this a requirement. Employees are also faced with concerns that their jobs may be displaced with the rise of automation and AI, leading them to feel increasingly insecure. Under these conditions, it is more important than ever that banks invest in their employee experience to support staff retention and in turn, customer satisfaction.

David Porter, Managing Director of Financial Services at Genesys, discusses the impact of increasing pressure on banking services and their employees, and how banks can deploy the right tools to alleviate this.

How have customer expectations of banks changed in recent years?

As technology evolves, customer expectations are continually being reset. People today want more. More convenience, more ease of use, and more seamless experiences. Brands such as Uber, Google and Amazon are setting this standard. Being able to self-serve has become a differentiator between those that deliver on customer expectations, and those that don’t. These expectations are no different to the ones the banking sector now faces.

In the banking industry, customers want digital experiences that allow them to perform tasks with ease, such as checking balances, transferring funds, and setting up recurring payments, all without having to step foot inside a branch. Any issues that may arise must be addressed quickly and efficiently, but this hasn’t been straightforward to achieve. And when you look at the data, it’s easy to see why – only 18% of banking executives have reported being in a ‘mature stage’ of digital transformation efforts.

What barriers does the banking sector currently face approaching their customer experience?

An executive at Citi recently shared with me that efficiency, quick wins, and employee engagement were top priorities at present – and they’re not alone as it appears to be a growing industry trend. This is a step change, as typically, the employee experience has been viewed as secondary to that of the customer experience within banking. However, as the industry increasingly faces challenges in hiring throughout customer service functions, from front to back office, the employee experience has become increasingly important. Banks are far more open to exploring introducing tools and capabilities to improve this. Yet barriers to implementing these tools remain.

Banks are highly regulated, meaning that adopting technology in a way that is compliant with industry standards is always a challenge. Any new channels or capabilities that are deployed need to be properly reviewed and risk assessed, which in some cases means a slower time to market.

While the industry has seen huge progress, with challenger banks accelerating the transition to a digital-first banking model, many financial services companies continue to be held back due to legacy technology infrastructures and silos between department; particularly larger traditional banks. This results in disjointed customer journeys. In fact, according to our own recent research, only 26% of financial services companies today offer multiple channels for customer interactions and have integrated technologies and connected data. With consumer demand for digital skyrocketing and contact volumes increasing, more needs to be done to accelerate the transition to a unified omnichannel experience that provides visibility into the customer journey end-to-end.

What has the impact of this been on employees?

Employees are under increasing amount of strain to meet heightened customer expectations. For example, when a customer reaches out for assistance, they expect employees to have the necessary information on how and why they got there. Customers don’t like having to repeat authentication processes and the details of their issue. Being met with unsatisfying solutions can quickly lead to frustration as they feel like they’re going round in circles. Employees often take the brunt of these frustrations.

Additionally, with banking services seeing an increasing number of customers reaching out, employees are being stretched to meet service demand. This means that customers are not always matched with the best person with the right expertise to deal with their issue, leading to additional stress on both sides if a meaningful solution isn’t found.

Why is it important that banks invest in their experience?

For banks to be successful, they need to recognise the link between employee satisfaction and customer satisfaction. This will require an overhaul of traditional thinking around the employee experience.

While many banks are reverting back to office-based working, hybrid continues to be favoured by employees. As such, for banks to be competitive at a time where both customer and employee experience are closely tied, they need to cater to employee needs and empower them with ways of working that suit them. However, with no one set definition of what this looks like, banks are navigating doing so in a way that meets both employee and business needs.

At the same time, banks have faced an overhaul in service delivery. Branch-based service models have been in decline, which has pushed more customers to reach out via digital channels, increasing strain on services. When employees are under this amount of pressure, without the appropriate means to manage it, the outcome is often a high turnover of staff. Banks are then having to work harder to recruit new talent for roles that are increasingly difficult to fill, and remaining employees are increasingly stretched due to understaffing, which has a domino effect on the customer experience they deliver.

This has forced banking leaders to recognise the importance of employee engagement. With banks struggling to fill job vacancies, especially in the back office, they need to find ways to reduce employee frustration and make jobs more efficient, simpler and quicker. While the priority has been equipping customers with self-service options, now banks need to turn the table and provide employees and invest in the right tools to provide them with real and meaningful support.

With advancements in technology, particularly AI, banks have an opportunity to reimagine traditional work processes and empower their employees with the means to thrive. It’s important that instead of succumbing to fears about AI replacing employees, these are positioned as tools to help supercharge performance and create satisfying experiences for employees and customers alike. Doing so will not only drive greater efficiencies, but improve customer loyalty.

What technology can banks implement to improve their employee experience?

Banks stand a lot to gain by investing in modern cloud-based technologies. While banks face challenges in overhauling multiple legacy systems and ensuring solution aligns with strict regulation, adopting a single cloud-based platform means banks can better sync operations across the business for a more seamless experience for both customer and employee across the board.

At the same time, layering modern technologies, like AI, on top of this can add additional complexity, particularly when banks are dealing with sensitive customer information, meaning they need to have stringent measures to ensure data is handled securely. However, banks have already made significant progress with AI – predictive engagement and routing capabilities are supporting banks to offer personalised services by predicting customer needs and behaviours, and offering tailored products and solutions, vastly improving the customer journey.

Bots powered by generative AI are proving to be a gamechanger here, improving efficiency and outcomes for customers. Bots can quickly sort and prioritise knowledge content most relevant to customer inquiries, whether that’s on how to set up a saving account or where their local bank is. Through this, employees can save time resolving queries, while ensuring the solutions they provide are meaningful to the individual customer.

Additionally, investing in modern employee experience technologies tightly integrated with their customer experience can help banks improve engagement with their workforce. AI too has a role to play here. For example, through AI-powered coaching and real time insights, they can provide employees with valuable guidance on how to improve performance, supported with recommendations and training plans personalised to their specific need. This creates a continuous learning loop, where human capabilities are enhanced by AI’s support and insights.

Through implementing tools like these, and more specifically, AI, banks can become more employee centric and show themselves as employers who truly care. Employees have the support they need to thrive, allowing them to deliver an experience in line with what today’s customers want.

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Business

How 5G and AI shaping the future of eHealth

Global Director for AI/ML Solutions, Mona Nia Tecnotree

The digital transformation of the healthcare industry continues to gain momentum. This shift can be attributed to the rapid advancement of widely applied technologies such as 5G networks, cloud computing, artificial intelligence (AI), and big data.

Moreover, integrating 5G networks with cloud-based healthcare platforms and AI is driving the emergence of intelligent eHealth technology, projected to reach $208 billion by 2030, according to recent reports. Recent research by Grand View Research emphasises that the synergy between 5G and AI is pivotal in transforming healthcare by enabling faster data exchange, reducing latency, and improving the reliability of health solutions. This collaboration aims to revolutionise the healthcare sector by facilitating hyper-personalisation, optimised care, enhanced sales and services, and streamlined operations. Leading venture firms actively invest in healthcare start-ups using AI, fostering a rapidly growing ecosystem of innovative advancements.

As AI and 5G continue to make waves through all industries, healthcare needs to adapt to changes quickly. However, with operational, security, and data privacy concerns, healthcare organisations remain wary. As such, they must analyse their current and future needs to understand how AI and 5G technologies can help fulfil them and establish a comprehensive plan to guarantee its efficient and secure implementation in their practices.

Recent research by the International Data Corporation (IDC) emphasises that the synergy between 5G and AI could potentially reduce operational costs by up to 20% and improve patient outcomes by enabling more accurate diagnostics and personalised treatments.

5G Integration in eHealth

5G technology stands at the forefront of healthcare reform with its superior data speed and dramatically reduced latency. Tailored to concurrently accommodate multiple connected devices such as sensors, wearables and medical equipment, 5G is truly indispensable in healthcare, allowing IoT devices to seamlessly transmit accurate data for healthcare providers.

It empowers healthcare professionals to handle large, high-definition files like clinical visuals, videos, and real-time patient insights. 5G’s capability for network slicing—dedicating specific network segments for certain uses—simplifies the management of such files. In addition, it optimises the performance of each application, thereby removing the strain on medical staff.

However, the implementation of 5G technology shouldn’t be oversimplified. It’s essential to analyse the potential risks and challenges thoroughly. A principal component to consider is regulatory cybersecurity and data privacy. Given that 5G networks are susceptible to cyber attacks, it falls upon healthcare providers to protect data such as patient information.

Organisations should also consider the financial implications of implementing 5G technology, as it involves a considerable investment in infrastructure and equipment. Therefore, they must balance the potential gains against the costs to ensure the viability of the investment.

Recent discussions at Mobile World Congress 2024 highlighted the critical role of regulatory frameworks in ensuring the secure deployment of 5G in healthcare. Experts advocated for robust cybersecurity measures and collaborative efforts between technology providers and healthcare institutions to mitigate potential risks.

Marrying 5G and AI for Improved eHealth Solutions

Despite the challenges, integrating 5G and AI will pave the way for unprecedented growth within the internal medical ecosystem, enhancing healthcare quality and patient results. For example, deploying data to carry out descriptive-predictive-prescriptive analytics and transmitting the acquired insights using 5G can drastically improve the user experience while helping make informed decisions. Such an approach can assist healthcare organisations in identifying promising healthcare use cases like remote patient monitoring, surgical robotics, and telemedicine.

Moreover, AI-facilitated hyper-personalisation, driven by the profusion of data accessible through 5G networks, can evaluate patient histories, genetic profiles, and lifestyle elements alongside real-time vitals to prescribe tailored advice and treatments. AI can also automate scheduling appointments, streamline supply chain management, and enhance transactions such as claims and prior authorisations. AI-powered chatbots and virtual assistants can deliver real-life support, while patient and customer service applications can provide an enriched experience through increased data accessibility.

AI can also streamline healthcare services by predicting and managing disease outbreaks. Supported by 5G’s capacity for real-time operability, AI systems can instantly analyse patient data, oversee bed availability, and notify medical personnel of potential complications—promoting efficient, effective care delivery.

Finally, AI-empowered fraud detection algorithms operating on 5G networks can analyse copious amounts of data in real time to detect suspicious activities and alert responsible security teams. This can also be applied to security cameras that can detect anomalies in patients’ and visitors’ behaviour and notify appropriate staff members.

A study published in the Journal of Medical Internet Research (JMIR) in 2023 demonstrated that combining AI and 5G in telemedicine significantly improved patient satisfaction and reduced consultation times by 30%.

Shaping an AI Blueprint for 5G eHealth

Integrating AI and 5G technologies can revolutionise disease assessment and surveillance, facilitating more precise diagnostics and tailored treatments. In return, it will drastically improve the standard of care, curbing expenses and boosting efficiency.

Over the next few years, healthcare providers should focus on specific areas where 5G and AI can deliver the most impact. For example, developing telehealth platforms that excel in security, accessibility, and user-friendly interfaces will be paramount. This design aspect is set to thrive, particularly with 5G paving the way for high-definition video consultations, remote patient monitoring, and instant data sharing between patients and healthcare

providers.

The precision and availability of diagnostic applications powered by AI and tele diagnostic services will notably increase in tandem with the widespread adoption of 5G. The strategic emphasis should be on enriching its capabilities, ensuring compatibility with existing systems, and seamlessly integrating the tech into existing healthcare processes.

AI-guided care management systems will also play an integral role in eHealth. There is a need to structure these systems to constantly monitor patient progress, suggest highly personalised treatments, and coordinate care across multiple providers while prioritising patient privacy and data protection.

Finally, when it comes to home health monitoring, emphasis should be placed on creating IoT devices that can integrate seamlessly with AI-driven health platforms and securely transmit data; this will be a critical development within the field.

The synergy between 5G technology and AI will continue revolutionising the healthcare industry, offering more customised, efficient, and cost-friendly solutions. By developing a precise AI blueprint for critical eHealth applications and capitalising on the capabilities of 5G, the benefits will drastically outweigh the challenges.

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Driving business success in today’s data-driven world through data governance

Source: Finance derivative

Andrew Abraham, Global Managing Director, Data Quality, Experian

It’s a well-known fact that we are living through a period of digital transformation, where new technology is revolutionising how we live, learn, and work. However, what this has also led to is a significant increase in data. This data holds immense value, yet many businesses across all sectors struggle to manage it effectively. They often face challenges such as fragmented data silos or lack the expertise and resources to leverage their datasets to the fullest.

As a result, data governance has become an essential topic for executives and industry leaders. In a data-driven world, its importance cannot be overstated. Combine that with governments and regulatory bodies rightly stepping up oversight of the digital world to protect citizens’ private and personal data. This has resulted in businesses also having to comply e with several statutes more accurately and frequently.

We recently conducted some research to gauge businesses’ attitudes toward data governance in today’s economy. The findings are not surprising: 83% of those surveyed acknowledged that data governance should no longer be an afterthought and could give them a strategic advantage. This is especially true for gaining a competitive edge, improving service delivery, and ensuring robust compliance and security measures.

However, the research also showed that businesses face inherent obstacles, including difficulties in integration and scalability and poor data quality, when it comes to managing data effectively and responsibly throughout its lifecycle.

So, what are the three fundamental steps to ensure effective data governance?

Regularly reviewing Data Governance approaches and policies

Understanding your whole data estate, having clarity about who owns the data, and implementing rules to govern its use means being able to assess whether you can operate efficiently and identify where to drive operational improvements. To do that effectively, you need the right data governance framework. Implementing a robust data governance framework will allow businesses to ensure their data is fit for purpose, improves accuracy, and mitigates the detrimental impact of data silos.

The research also found that data governance approaches are typically reviewed annually (46%), with another 47% reviewing it more frequently. Whilst the specific timeframe differs for each business, they should review policies more frequently than annually. Interestingly, 6% of companies surveyed in our research have it under continual review.

Assembling the right team

A strong team is crucial for effective cross-departmental data governance.  

The research identified that almost three-quarters of organisations, particularly in the healthcare industry, are managing data governance in-house. Nearly half of the businesses surveyed had already established dedicated data governance teams to oversee daily operations and mitigate potential security risks.

This strategic investment highlights the proactive approach to enhancing data practices to achieve a competitive edge and improve their financial performance. The emphasis on organisational focus highlights the pivotal role of dedicated teams in upholding data integrity and compliance standards.

Choose data governance investments wisely

With AI changing how businesses are run and being seen as a critical differentiator, nearly three-quarters of our research said data governance is the cornerstone to better AI. Why? Effective data governance is essential for optimising AI capabilities, improving data quality, automated access control, metadata management, data security, and integration.

In addition, almost every business surveyed said it will invest in its data governance approaches in the next two years. This includes investing in high-quality technologies and tools and improving data literacy and skills internally.  

Regarding automation, the research showed that under half currently use automated tools or technologies for data governance; 48% are exploring options, and 15% said they have no plans.

This shows us a clear appetite for data governance investment, particularly in automated tools and new technologies. These investments also reflect a proactive stance in adapting to technological changes and ensuring robust data management practices that support innovation and sustainable growth.

Looking ahead

Ultimately, the research showed that 86% of businesses recognised the growing importance of data governance over the next five years. This indicates that effective data governance will only increase its importance in navigating digital transformation and regulatory demands.

This means businesses must address challenges like integrating governance into operations, improving data quality, ensuring scalability, and keeping pace with evolving technology to mitigate risks such as compliance failures, security breaches, and data integrity issues.

Embracing automation will also streamline data governance processes, allowing organisations to enhance compliance, strengthen security measures, and boost operational efficiency. By investing strategically in these areas, businesses can gain a competitive advantage, thrive in a data-driven landscape, and effectively manage emerging risks.

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The Benefits of EV Salary Sacrifice: A Guide for Employers and Employees

As the UK government continues to push for greener initiatives, electric cars have become increasingly popular. The main attraction for both employers and employees is the EV salary sacrifice scheme.

By participating in an EV salary sacrifice scheme, both employers and employees can enjoy cost savings and contribute to environmental sustainability along the way! This article will delve into the specifics of how these schemes operate, the financial advantages they offer, and the broader positive impacts on sustainability.

We will provide a comprehensive overview of the mechanics behind EV salary sacrifice schemes and discuss the various ways in which they benefit both employees and employers, ultimately supporting the transition to a greener future in the UK.

What is an EV Salary Sacrifice Scheme?

An EV salary sacrifice scheme is a flexible financial arrangement that permits employees to lease an EV through their employer. The key feature of this scheme is that the leasing cost is deducted directly from the employee’s gross salary before tax and National Insurance contributions are applied. By reducing the taxable income, employees can benefit from substantial savings on both tax and National Insurance payments. This arrangement not only makes EVs more affordable for employees but also aligns with governmental incentives to reduce carbon emissions.

For employers, implementing an EV salary sacrifice scheme can lead to cost efficiencies as well. The reduction in National Insurance contributions on the employee’s reduced gross salary can offset some of the costs associated with administering the scheme. Additionally, such programmes can enhance the overall benefits package offered by the employer, making the company more attractive to prospective and current employees.

Benefits for Employees

1. Tax and National Insurance Savings

By opting for an EV salary sacrifice scheme, employees can benefit from reduced tax and National Insurance contributions. Since the lease payments are made from the gross salary, the taxable income decreases, resulting in substantial savings.

2. Access to Premium EVs

Leading salary sacrifice car schemes often provide access to high-end electric vehicles that might be otherwise unaffordable. Employees can enjoy the latest EV models with advanced features, contributing to a more enjoyable and environmentally friendly driving experience.

3. Lower Running Costs

Electric vehicles typically have lower running costs compared to traditional petrol or diesel cars. With savings on fuel, reduced maintenance costs, and exemptions from certain charges (such as London’s Congestion Charge), employees can enjoy significant long-term financial benefits.

4. Environmental Impact

Driving an electric vehicle reduces the carbon footprint and supports the UK’s goal of achieving net-zero emissions by 2050. Employees can take pride in contributing to a cleaner environment.

Benefits for Employers

1. Attract and Retain Talent

Offering an EV salary sacrifice scheme can enhance an employer’s benefits package, making it more attractive to potential recruits. It also helps in retaining current employees by providing them with valuable and cost-effective benefits.

2. Cost Neutrality

For employers, EV salary sacrifice schemes are often cost-neutral. The savings on National Insurance contributions can offset the administrative costs of running the scheme, making it an economically viable option.

3. Corporate Social Responsibility (CSR)

Implementing an EV salary sacrifice scheme demonstrates a commitment to sustainability and corporate social responsibility. This can improve the company’s public image and align with broader environmental goals.

4. Employee Well-being

Providing employees with a cost-effective means to drive electric vehicles can contribute to their overall well-being. With lower running costs and the convenience of driving a new EV, employees may experience reduced financial stress and increased job satisfaction.

How to Implement an EV Salary Sacrifice Scheme

1. Assess Feasibility

Evaluate whether an EV salary sacrifice scheme is feasible for your organisation. Consider the number of interested employees, potential cost savings, and administrative requirements.

2. Choose a Provider

Select a reputable provider that offers a range of electric vehicles and comprehensive support services. Ensure they can handle the administrative tasks and provide a seamless experience for both the employer and employees.

3. Communicate the Benefits

Educate your employees about the advantages of the scheme. Highlight the financial savings, environmental impact, and access to premium EV models. Provide clear guidance on how they can participate in the programme.

4. Monitor and Review

Regularly review the scheme’s performance to ensure it continues to meet the needs of your employees and the organisation. Gather feedback and make adjustments as necessary to enhance the programme’s effectiveness.

Conclusion

The EV salary sacrifice scheme offers a win-win situation for both employers and employees in the UK. With significant financial savings, access to premium vehicles, and a positive environmental impact, it’s an attractive option for forward-thinking organisations. By implementing such a scheme, employers can demonstrate their commitment to sustainability and employee well-being, while employees can enjoy the benefits of driving an electric vehicle at a reduced cost.

Adopting an EV salary sacrifice scheme is a step towards a greener, more sustainable future for everyone.

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