Business
How Turning Your Core Data into a Product Drives Business Impact
By Venki Subramanian, SVP of Product Management at Reltio
Data drives efficiencies, improves customer experience, enables companies to identify and manage risks, and helps everyone from human resources to sales make informed decisions. It is the lifeblood of most organisations today. Sometime during the last few years, however, organisations turned a corner from embracing data to fearing it as the volume spiralled out of control. By 2025, for example, it is estimated that the world will produce 463 exabytes of data daily compared to 3 exabytes a decade ago.
Too much enterprise data is locked up, inaccessible, and tucked away inside monolithic, centralised data lakes, lake houses, and warehouses. Since almost every aspect of a business relies on data to make decisions, accessing high-quality data promptly and consistently is crucial for success. But finding it and putting it to use is often easier said than done.
That’s why many organisations are turning to “distributed data” and creating “data products” to solve these challenges, especially for core data, which is any business’s most valuable data asset. Core data or master data refers to the foundational datasets that are used by most business processes and fall into four major categories – organisations, people (individuals), locations, and products. A data product is a reusable dataset used by analysts or business users for specific needs. Most organisations are undergoing massive digital and cloud transformations. Putting high-quality core data at the centre of these transformations—and treating it as a product can yield a significant return on investment.
The Inefficiency of Monolithic Data Architectures
Customer data is one example of core or master data that firms rely on to generate outstanding customer experiences and accelerate growth by providing better products and services to consumers. However, leveraging core customer data becomes extremely challenging without timely, efficient access. The data is often trapped inside monolithic, centralised data storage systems. This can result in incomplete, inaccurate, or duplicative information. Once hailed as the saviour to the data storage and management challenge, monolithic systems escalate these problems as the volume of data expands and the urgent need for making data-driven decisions rises.
The traditional approaches for addressing data challenges entail extracting the data from the system of records and moving it to different data platforms, such as operational data stores, data lakes, or data warehouses, before generating use case-specific views or data sets. In addition, because of the creation of use case-specific data sets that are subsequently exploited by use case-specific technologies, the overall inefficiency of this process increases.
One inefficiency arises from the complexity of such a landscape, which involves the movement of data from many sources to various data platforms, the creation of use case-specific data sets, and the use of multiple technologies for consumption. Core data for each domain, such as customer, is duplicated and reworked or repackaged for almost every use case instead of producing a consistent representation of the data used across various use cases and consumption models – analytical, operational, and real-time.
There’s also a disconnect between data ownership and the subject matter experts that need it for decision-making. Data stewards and scientists understand how to access data, move it around and create models. But they’re often unfamiliar with the specific use cases in the business. In other words, they’re experts in data modelling, not finance, human resources, sales, product management, or marketing. They’re not domain experts and may not understand the information needed for specific use cases, leading to frustration and data going unused. It’s estimated, for example, that 20% or fewer of data models created by data scientists are deployed.
Distributed Data Architecture – An Elegant Solution to a Messy Problem
The broken promises of monolithic, centralised data storage have led to the emergence of a new approach called “distributed” data architectures, such as data fabric and data mesh. A data mesh can create a pipeline of domain-specific data sets, including core data, and deliver it promptly from its source to consuming systems, subject matter experts, and end users.
These data architectures have arisen as a viable solution for the issues created by inaccessible data locked away in siloed systems or rigid monolithic data architectures of the past. Data fabric decentralises the management and governance of data sets. It follows four core principles – domain ownership of data, treating data as a product and applying product principles to data, enabling a self-serve data infrastructure, and ensuring federated governance. These help data product owners create data products based on the needs of various data consumers and for data consumers to learn what data products are available and how to access and use these. Data quality, observability, and self-service capabilities for discovering data and metadata are built into these data products.
The rise of the concept of data products is helpful for analytics/artificial intelligence, and general business uses. The concept for either case is the same – the dataset can be reused without a major investment in time or resources. It can dramatically reduce the amount of time spent finding and fixing data. Data products can also be updated regularly, keeping them fresh and relevant. Some legacy companies have reported increased revenues or cost savings of over $100 million.
Trusted, Mastered Data as a Product
Data product owners have to create data products for core data to enable its activation for key initiatives and support various consumption models in a self-serve manner. The typical pattern that all these data pipelines enable can be summarised into the following three stages – collect, unify, and activate.
The process starts with identifying the core data sets – data domains like customer or product – and defining a unified data model for these. Then, data product owners need to identify the first-party data sources and the critical third-party data sets used to enrich the data. This data is assembled, unified, enriched, and provided to various consumers via APIs so that the data can be activated for various initiatives. Product principles such as the ability to consume these data products in a self-service manner, customise the base product for various usage scenarios, and deliver regular enhancements to the data are built into such data products.
Data product owners can use this framework to map out key company initiatives, identify the most critical data domains, identify the features (data attributes, relationships, etc.) and the sources of data – first and third party that needs to be assembled – to create a roadmap of data products and align them to business impact and value delivered.
With data coming from potentially hundreds of applications and the constantly evolving requirements of data consumers, poor quality data and slow and rigid architecture can cost companies in many ways, from lost business opportunities to regulatory fines to reputational risk from poor customer experience. That’s why organisations of all sizes and types need a modern, cloud-based master data management approach that can enable the creation of core data as products. A cloud-based MDM can reconcile data from hundreds of first and third-party sources and create a single trusted source of truth for an entire organisation. Treating core data as a product can help businesses drive value by treating it as a strategic asset and unlocking its immense potential to drive business impact.
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Business
Technology’s Role in Transforming Insurance: From AI to Cyber Risk
Source: Finance Derivative
Authored by Samiul Chowdhury, Principal Actuarial Consultant, RNA Analytics
The insurance industry is undergoing a significant transformation, driven by rapid advancements in technology. From property and casualty to life insurance, the role of digital solutions has never been more important. Today, it’s almost impossible to imagine a successful, compliant insurance business without technology at its core.
But how exactly is technology reshaping the insurance landscape? And what does it mean for the future of actuarial work, AI, and cyber risk? Let’s explore.
The Essential Role of Technology in Modern Insurance
Technology is the cornerstone of the successful modern insurance business – whether property, casualty or life. It’s no longer optional—it’s essential! Operating a successful and compliant insurance company today without the help of software solutions would be a real challenge. Whether it’s managing customer data, meeting regulatory demands, or assessing risk, technology is at the heart of everything modern insurers do.
In recent years, regulatory compliance has been a top priority for (re)insurers across the globe, with IFRS 17 probably the number one focus. The new accounting standards are highly complex, and their implementation has forced many insurers to rethink and redesign their entire approach to financial reporting and infrastructure. However, this challenge has also been a catalyst for technological innovation.
One of the most significant changes brought about by IFRS 17 is the integration of traditionally siloed such as functions such as actuarial, finance and accounting functions. This alignment gives insurers unprecedented insight into opportunities and risks, enabling them to make more informed decisions. Beyond compliance, accuracy and extensive flexibility, this integration offers insurers a chance to enhance accuracy, achieve greater flexibility, and gain a deeper understanding of their financial landscape.
How AI is Changing the Actuarial World
Much has been said aboutArtificial Intelligence (AI) and its potential to disrupt industries. In insurance, AI is already proving to be a game-changer, especially in actuarial work. With the right approach, AI holds great promise of making processes smoother and bringing faster, more accurate decision-making into play.
However, AI is not here to replace actuaries. Instead, it enhances actuaries’ roles by automating their routine tasks such as data pre-processing, model fitting, and report generation. This automation allows actuaries to focus on more strategic tasks, giving them a more central role within the organizations.
Meanwhile, AI modelling introduces new sources of uncertainty. Actuaries must understand the limitations and assumptions behind the AI models they are using. It’s important to ensure that these are fair, unbiased, and ethical —particularly when it comes to pricing and underwriting. This means actuaries will need to pick up new skills, especially in data science and programming languages like Python and R.
In other words, AI offers actuaries the chance to work more efficiently and strategically, but only if they are prepared to navigate the complexities it brings.
The Growing Challenge of Cyber Risk. How Do Insurers Keep Up?
Cyber risk has emerged as one of the most significant threats insurers face today. Cyber insurance is not the same as it was twenty years ago. The policies were relatively simpler, and insurers didn’t have as much data or experience to rely on. Today, they are more complex, reflecting the increased scale and sophistication of cyber threats.
As cyberattacks have increased, so has our ability to model and understand them. Insurers have gained more data over time, which has allowed them to get a better grip on the risks involved. However, here is the thing: technology evolves, and so do the threats. Whether it’s a data breach, ransomware attack, or even non-malicious technical failures like the recent CrowdStrike outage, the risks are more systemic and far-reaching than ever.
Looking ahead, as we enter the Web3 era where information becomes ever more interconnected and managed by semantic metadata, we’ll have a complete set of new vulnerabilities. Business models will shift, and with that, the risks insurers will need to cover. By 2044, cyber insurance policies will probably look quite different from what we see today.
Conclusion
The insurance industry is at a turning point, driven by the rapid adoption of technology and the increasing complexity of risks like cyber threats. To stay ahead of the curve, insurers need to embrace AI, data-driven decision-making processes, and advanced risk models.
Business
The EPC’s Verification of Payee rulebook: Five things banks need to consider
Source: Finance Derivative
Pratiksha Pathak, Head of Payments Services at RedCompass Labs, shares her insights on the Verification of Payee’s (VoP) impact and what it means for European payment service provers (PSPs).
Fraud is an ever-present threat in the payments landscape, and with the rise of instant payments, the risk has never been greater. While these rapid transactions offer unmatched convenience, they also pave the way for instant fraud, leaving financial institutions with minimal time to intercept suspicious activity.
In October, the European Payments Council (EPC) published the long-awaited Verification of Payee rulebook, which marked a major milestone in the SEPA Instant Payment Regulations (IPR) and a key effort to combat payments fraud.
In 2022 alone, fraudulent credit transfers, direct debits, card payments, cash withdrawals, and e-money transactions across the EEA reached a staggering €4.3 billion, with an additional €2.0 billion lost in just the first half of 2023.
The VoP rulebook aims to standardise how banks confirm payee account details, protecting consumers from fraudulent transactions. However, while the intentions are solid, the new regulations present several challenges that banks must address swiftly and efficiently.
- Tight deadlines leave no room for error
The deadlines are tight. Banks must have a VoP solution in place across all payment channels by 5th October 2025, which is just four days before the IPR comes into effect. Unfortunately, it doesn’t matter if a bank uses an existing domestic verification service since the rulebook standardises how account information is verified in payments across Europe.
This means that every bank will need to adapt or overhaul its systems to meet pan-European standards. Given the verification process will apply to both SEPA and SEPA Instant payments across all payment channels, it will be a big lift for banks.
The challenges are compounded by the rollout of the EPC Directory Service (EDS), which is the centralised database that underpins the scheme. The EDS won’t be ready for testing until late June 2025. This leaves only three months for banks to complete end-to-end testing and fully deploy their solutions.
Some aspects of VoP, such as APIs and channel infrastructure, can be built in advance, but banks won’t be able to conduct end-to-end testing until after the EDS is ready. For institutions grappling with legacy systems or more complex architectures, the timeline is daunting and leaves little to no room for error.
- The 5-second rule is a small change with a big impact
Another key change is the extended verification window. Banks now have five seconds, rather than three, to confirm payee account details across all channels.
Whilst this may seem generous, it is still a tight squeeze given the intricacies involved. This means that both the payment engine and all customer-facing channels—whether online, mobile, phone, or paper-based—must be highly available, fast, and scalable.
Ensuring a smooth customer experience, especially for non-digital transactions, will test banks’ technological limits. While mobile and online platforms might be better equipped, accommodating phone and bulk transactions introduces layers of complexity.
It may be more time than before, but the five-second verification window leaves little margin for error – never mind the one-second timeframe the EPC would prefer.
- Bulk payments are a logistical headache
One of the most complex aspects is VoP’s application to bulk-payment files, such as salary payouts. The rulebook demands that each individual payment in a file undergo verification, potentially creating a logistical nightmare.
Imagine a scenario where thousands of payments trigger a mix of ‘match’, ‘close match’, and ‘no match’ results. As a bank, how do you relay this information to your client within 5 seconds? Do you provide the notifications in a file? Through an app? A checklist?
Handling a flood of verification requests within seconds requires not only a robust infrastructure but also meticulous planning. Banks must devise sophisticated mechanisms to process and deliver results without disrupting the broader payment workflow to prevent operational chaos.
- Legacy systems will feel the pain
For many banks, the biggest challenge lies in integrating VoP into long-established SEPA payment systems because it requires modifications to processes that are already running smoothly.
Banks need to ensure that all their payment channels can incorporate VoP functionality without disrupting the current flow. Banks may need to upgrade or completely rework several parts, making the process complicated and costly.
Verifying payees at the beginning of a transaction requires changes to how these systems interact and handle data. Banks will also need to ensure that existing transactions continue without delays and errors, which will prove to be a big challenge for those with multiple existing payment channels.
- Navigating routing and verification is complex
The new EPC/European Directory Service (EDS) may bring operational challenges. Whilst the EDS serves as a directory, it doesn’t handle the actual routing or verification of VoP requests and responses. Most banks now need to develop their own routing and verification mechanisms (RVMs).
These RVMs will act as connection points for participants and banks must either integrate directly with the EDS or use an RVM to route VoP requests. However, using an RVM doesn’t absolve the responding PSP of its responsibilities under the scheme’s rules.
Banks face a significant challenge in setting up or partnering with an RVM to manage this new process, but finding an RVM supplier will be a good place to start.
The bottom line
The EPC’s VoP rulebook is a decisive step forward in improving payment security across Europe, but it also introduces significant challenges for banks.
As banks start to prepare for this overhaul, balancing compliance with operational efficiency will be key to protecting customers whilst maintaining a seamless payment experience.
European banks have their work cut out for them. The demands of implementing VoP are high, and the timeline is short. But with the right expertise and strategic planning, it can be done.
Business
How eCash and digital wallets will diversify the payments landscape in 2025
Source: Finance Derivative
Written by Fernando Costa-Cabral, SVP Branded Payments, and Ishan Vaid, VP Core Features, at Paysafe.
Throughout 2025, we’ll see two seemingly opposing payment methods – eCash and digital wallets – further reshaping how consumers manage their money. While cash – and future access to it – is still critically important for consumers, digital payments are undergoing a huge transformation.
eCash will continue to bridge the digital divide by ensuring consumers can use physical currency to buy goods and services online. As a result, businesses will leverage it as a democratizing force to promote financial inclusion and serve diverse consumer segments.
Digital wallets also have a major role to play in the evolving payments landscape, with 32% of consumers reporting to have increased their use of wallets in 2024. A notable development is the rise of brand-owned wallets, as businesses outside the financial services sector seek to establish closed-loop ecosystems to control and enhance the customer experience.
With a view to the year ahead, here is how eCash and digital wallets will evolve throughout 2025.
Bridging the digital divide with eCash
Even in today’s digital world, cash plays a vital role in consumer finances. Recent research from Paysafe has revealed that 63% of consumers harbor concerns about losing access to cash, while 44% want the option to buy items online and pay in cash at a brick-and-mortar store.
This preference stems from the unique advantages of cash: it provides tangible financial security, enables precise spending control, and helps users avoid the often-hidden costs commonly associated with credit-based payments. Across geographies, cash remains essential for reducing financial anxiety and ensuring reliable transactions.
Despite its enduring importance, cash has largely remained on the sidelines of the recent payment revolution. Traditional cash-based operations continue to be cumbersome and time-consuming – whether it’s depositing physical money into a bank account, coordinating international cash transfers, or attempting to set up installment payments. Furthermore, the retail sector has generally overlooked cash users when developing modern consumer incentives such as cashback programs, buy-now-pay-later (BNPL) schemes, or subscription-based services, creating a noticeable gap in the market.
That is all now changing. This year, eCash will solidify its position as the right solution to bridge this divide between physical currency and our increasingly digital economy – making cash more relevant and accessible in the modern world. In the year ahead, eCash’s progression will materialize through three main developments: enhanced security measures, value-added features, and a significantly improved user experience. With these improvements, eCash can transform traditional cash into a simple and secure payment method with the same core benefits that make cash valuable to many people.
Digital wallets will diversify the payments landscape
In a similar vein to eCash, digital wallets are diversifying the payments landscape, with non-financial brands increasingly venturing into the territory once dominated by incumbent financial service providers. By acquiring their own digital wallet solutions, these brands are reducing their dependence on external financial institutions and enhancing the payment experience.
The trend toward brand-owned wallets has already gained traction in Asian markets, with e-wallets now being offered by ride-hailing apps and e-commerce platforms – and we anticipate a significant uptake in markets like the UK over the coming year. Specifically, retail chains, gaming platforms, and logistics companies are all exploring how digital wallets can streamline their payment processes, strengthen customer loyalty, and deliver greater control over the user experience.
There’s particularly strong momentum building around white-label wallet solutions, which provide businesses with a sophisticated approach to payment integration. These solutions enable brands to incorporate advanced wallet functionalities directly into their existing platforms while maintaining complete control over their user interface and experience. This development aligns with a broader strategic shift we’ve observed across various sectors – from gaming and retail to mobility services – where brands increasingly want a closed-loop ecosystem that they manage.
In 2025, we can anticipate four key evolutionary trends in the digital wallet space. First, we will see even more seamless integration of wallet functionality into non-financial platforms, allowing users to complete transactions without leaving their preferred brand’s ecosystem. Second, there will be significant advances in real-time currency conversion capabilities and multi-currency wallet features, catering to the growing demands of global commerce and international travel. Third, we can expect enhanced instant settlement capabilities, supported by faster payment rails that align with contemporary consumer expectations for immediate transaction processing and gratification. Finally, there will be an increased emphasis on sustainability, with digital wallets incorporating eco-friendly features such as carbon footprint tracking to meet the growing consumer demand for environmentally responsible financial services.
While these two technologies and their respective journeys aren’t necessarily joined at the hip, as 2025 unfolds both eCash and digital wallets will help to create a more accessible and customer-centric financial system. This evolution isn’t about choosing between cash and digital – it’s about seamlessly bridging both worlds, giving consumers and brands greater control over how they pay and get paid.