Finance
The penny has dropped – the finance sector needs Data Governance-as-a-Service
Published
1 year agoon
By
admin
By Michael Queenan, Co-Founder and CEO at Nephos Technologies
In our data-driven world, the amount of data is growing exponentially and it’s predicted that the amount generated each second in the financial industry will grow 700% this year. Leaders of financial services organisations have realised two things since the start of the pandemic – that data on their customers and services is their greatest asset and that they must embrace technology to make intelligent business decisions to grow successfully and outperform competitors.
Since the financial sector holds arguably the most valuable and sensitive information, organisations must do more than just store this data. They need to ensure its security, integrity, and governance so that it’s useful in improving the brand’s customer experience, innovating products and services or predicting future trends to improve risk management.
Yet without a robust data governance model – a strong set of rules and processes for what data means, and how it is categorised, owned, accessed, stored, and used – data is worthless. Only when an effective data governance model has been established, will data meet regulations and be secure. Data leaders must shift gear in their data processes to avoid hefty compliance penalties and unlock potential value from their data assets.
The data governance challenges faced by financial sector organisations
The barriers for achieving ‘good governance’ are many and varied. Ignorance of the benefits of data governance is a major hurdle for developing a governance strategy. Many financial firms have invested – at significant cost – in data governance tools, but struggle to deliver the benefits they are looking for. Many don’t have the right skills and resources to maximise or set the right metrics to measure the business value. Some are compromised by unoptimised gaps in their approach.
With many different elements to master, data governance is complex – from identifying the right tools to managing the challenges presented by encryption, all whilst ensuring that data quality is sustained and data is managed responsibly. The negative impact of misplaced investment in ineffective data governance strategies can be significant, for the short and long-term.
Why data governance matters
With the acceleration of digital adoption in the financial services industry, it has become crucial to deliver seamless, intelligent customer experiences. Data governance is the key to managing data flow, ensuring compliance, and scaling up. Proof that data governance matters is evident in the Master Data Management Market growth prediction, from $16.7 billion in 2022 to $34.5 billion by 2027.
Data governance is a comprehensive methodology for ensuring the quality and security of the company’s data. The various benefits of an effective data governance strategy include minimised risk, coherent policies, metrics and processes, and better implementation of compliance and enhanced data value. However, for financial services, there are significant advantages as a result of the following:
- Data governance saves the company money by increasing efficiency. Precious time can be saved by having good quality data and a single source of truth, with less duplication of data, and less time needed to correct data errors.
- Good data governance gives the business confidence in having accurate and trustworthy data, the holy grail for delivering outperforming customer experiences.
- A data-driven culture can also be introduced to your business through good data governance. With the ability to gather critical customer and market insights that can guide the direction of your business, data governance allows financial institutions to drive innovation and gain competitive advantage.
Bridging the governance gap with Data Governance-as-a-Service (DGaaS)
Increasingly organisations are turning to the ‘as-a-Service’ model to bridge the gaps in their data governance capabilities, as well as ensure critical alignment between objectives and results. This dedicated approach aims to minimise the risk of investments and delivers the strategy and proven technologies required to ensure data governance success.
DGaaS can be applied across each major component required to deliver good data governance. First, it uses software tools to scan all data within a typically complex financial services data infrastructure in its data discovery and classification phase. Without this detailed insight, organisations can’t always identify their data assets, any data mishandling and the level of risk generated.
The next part of the process is creation and documentation. This means organisations can drive their governance objectives through to execution, while removing the operational and recruitment overheads, which means they can purely focus on value created from data. In doing so, organisations can convert the raw outputs from the toolsets into meaningful business outputs.
With a holistic approach, DGaaS allows financial services organisations to focus on the transformational potential of data while critically staying compliant.
Reaping the benefits
Data is a vital asset to enable financial sector organisations to build the right capabilities to deliver their services and remain competitive. With a robust data governance model, financial firms can assess risk, predict trends, and seize market opportunities based on data-driven insights. Only data-driven processes, built on high quality and effectively governed data, will enable them to build outstanding customer experiences. It’s essential that leaders realise data governance is a fundamental discipline, not a luxury, and establish an effective model to formalise processes and responsibilities before their data lets them down.
Business
In-platform solutions are only a short-term enhancement, but bespoke AI is the future
Published
13 hours agoon
September 27, 2023By
editorial
By Damien Bennett, Global Director, Principal Consultant, Incubeta
If you haven’t heard anyone talking about artificial intelligence (AI) yet, then where have you been? Conversations about AI and its advantages to society have been a key talking point over recent months, with advances being made in the generative AI race and ChatGPT opening a whole plethora of possibilities. Many have highlighted the advantages of AI, but notably it’s ability to create human-like content.
But these discussions have only scratched the surface of what AI is capable of doing. It is for far more than just essay writing, adding Eminem to your rave and photoshopping dogs into pictures.
In marketing, we have been using AI for years, for everything from analyzing customer behaviors to predicting market changes. It’s enabled us to segment customers, forecast sales and provide personalized recommendations, having a huge impact on how our industry works.
It is even, for the more savvy marketers of the world, becoming a key tool in maximizing budget efficiency – which is apt, considering over 70% of CMOs believe they lack sufficient budget to fully execute their 2023 strategy.
Now, as AI becomes more intelligent, the number of efficiencies it can unlock continues to rise. Not only can it help brands get the most out of their available resources and identify any areas of waste, but it can also help highlight new opportunities for growth and maximize the impact of your budget allocation.
The trick, however, is to veer away from the norm of using in-platform solutions with a one-size-fits-all approach and create your own, bespoke solutions that are tailored to your business needs.
Pitfalls of in-platform solutions
In-platform solutions aren’t by any means a bad thing. In fact, built-in AI tools have become increasingly popular, owing to their ease of integration, user-friendly interfaces and minimal set up requirements. They come pre-packaged with the platform, offering the user the ability to leverage AI technologies without the need for in-depth technical expertise or the upfront cost of building a solution from scratch.
However, the streamlined and accessible nature of in-platform AI solutions comes at the expense of complexity and customization. They are designed to serve a broad user base, but for the most part are built using narrow AI solutions with predefined features and workflows.
This makes them great for assisting with common AI tasks, but they lack the flexibility to tailor functionality towards unique business requirements or innovative use cases, limiting the potential efficiencies and cost savings that can be unlocked. Additionally, if a business’ competitors are using the same platform, they are probably using the same AI solution, meaning any strategic advantage gained from these will be reduced.
Bespoke AI solutions, on the other hand, may carry a higher initial investment – but can offer a significantly more attractive ROI over a short amount of time.
Why customized and adapted AI is the key
The difference between bespoke AI and in-platform solutions is similar to that between home cooked food and a microwave meal. Yes, it is more time consuming to prepare, and yes it likely carries more of an upfront cost, but the end result is going to be far more appealing and will carry more long-term value (financially… not nutritionally).
That’s because bespoke solutions, by nature, will have been tailored to address your brands specific needs and challenges. These custom-built tools allow for much greater efficiencies by streamlining workflows across different channels, automating more complex tasks, and providing deeper, more relevant insights.
The increased level of optimization can significantly improve productivity and reduce operational costs over time, offering a higher ROI. The increased flexibility of bespoke AI also allows brands to implement innovative use cases that can significantly differentiate them from their competitors.
The data analyzed can be specifically chosen to match business requirements, as can the outputs of the AI tool, providing a significant advantage when understanding and acting on the insights provided.
Additionally, these tools are, by nature, more scalable. They can be updated, upgraded and expanded as needs change, ensuring they continue delivering value as the business grows. They can also be designed to integrate with any existing IT infrastructure, from CRM systems and databases to marketing platforms and sales tools – leading to more efficient and effective decision-making.
Managing finances with AI
It’s no secret that AI in marketing automation has, and will continue to, revolutionize the way marketing is done. It has a bright, if slightly terrifying, future and can help CMOs to unlock new efficiencies, maximize the impact of their budgets and increase their ROI. And as this technology becomes more advanced, its impact will only increase.
But we already know that…and so does everyone else.
So, in order for businesses to make themselves stand out from the crowd , they must look to fully adopt the power of AI. Creating a customized and unique AI solution could be the way to set yourself apart from your competitors. A bespoke AI tool can provide brands and businesses with features unique to them and their business needs. As a result, companies will benefit from more useful data and better results to make more data-driven decisions for their business. Ultimately, this will help brands to maintain a competitive edge over their competitors, deliver ROI and most importantly optimize their budgets.
Business
Is your business suffering with Fintech FOMO?
Published
2 days agoon
September 26, 2023By
admin
Tom Kiddle, Chief Commercial Officer at Equals Money
It’s a challenging time for businesses of all sizes, but the past three years created storms that are particularly hard for SMEs to weather. For businesses dealing with shrinking margins, while a weakened pound is making international purchases more costly, it’s a scary time.
For many businesses this meant initially reigning in any unnecessary costs, reducing investment in anything deemed as a ‘nice to have’, and focusing on keeping the lights on. However, despite not being out of the woods in terms of economic challenges, this year many SMEs have their eyes on growth.
While some might have been buoyed by the news that the UK narrowly avoided a recession at the end of last year[1], data shows businesses were already making investments before this news was released. In fact, UK business investment rose by 4.8% in Quarter 4 (Oct to Dec) 2022, coming in at 13.2% above where it was during the same quarter in 2021[2].
So, where are SMEs putting their cash? As well as predictable spending on IT equipment, machinery, and transport[3], businesses are also putting more funding than ever into technology investments – a trend that isn’t slowing down anytime soon. UK tech investment is set to grow at its fastest rate in over 15 years, both in terms of budget but also headcount[4]

Tom Kiddle
UK businesses are clearly seeing the real opportunity that technology, in all its various forms, presents to their operations. This may also be bolstered by the fact that tech investments are potentially more cost-effective now that the government has made recent changes to R&D tax relief, which sees things like cloud computing and data included in expenditure categories[5]. When it comes to revamping legacy systems and introducing Fintechs that offer businesses a smarter, easier, automated way of doing business, investing in technology can increasingly feel like a no brainer.
However, it’s rare that a one size fits all solution exists for businesses. What works for your competitor may not offer the same benefits to your organisation. In a world with so many risk factors, making smart investments that are aligned to your individual business goals is key.
Tom Kiddle, Chief Commercial Officer at innovative money movement solution Equals Money, explains four ways businesses can reap the rewards of smart tech investments:
1. Measurement
Can you measure the impact it will have on your business? It doesn’t have to be monetary, but if it gives you efficiency, visibility, or certainty, these can have measurable tangible impacts to your top and bottom line.
2. Insight
Does it tell you something you didn’t know before about your customers, your employees, your suppliers, and their behaviour? What could you do with that information? Often, businesses lack critical insight on their key drivers, and understanding those can open up new opportunities.
3. Action
Pretty charts and graphs make for good reading, but make sure you’re taking action with your new piece of tech. Setting accountability for action from your latest investment will drive your business to achieve a return on that investment and ensure it doesn’t sit on the shelf.
4. Adoption, adoption, adoption
Often, the latest tech trend may seem like a great investment to the motivated few, but look more broadly: if your intended internal target for your new tech fails to adopt the new practice, you won’t achieve the return promised. Also, more likely than not, you’ll frustrate both the key supporters of the new product and those you’re imposing it on.
Innovative technology, particularly in the finance space, can transform the way you do business, but avoid being lured in by solutions that don’t align to your individual needs. Good suppliers should always take the time to give an honest appraisal of whether their product is right for you and should leave you feeling empowered to devote time to what matters most – growing your business.
[1] HR Solutions, 2022 [2] The Guardian, Feb 2023 [3] ONS, Dec 2022 [4] ONS, Dec 2022 [5] Nash Squared Digital Leadership Report, 2022 [6] BDO, 2023 [1] The Guardian, Feb 2023 [2] ONS, Dec 2022 [3] ONS, Dec 2022 [4] Nash Squared Digital Leadership Report, 2022 [5] BDO, 2023
Magazine
Trending


In-platform solutions are only a short-term enhancement, but bespoke AI is the future
By Damien Bennett, Global Director, Principal Consultant, Incubeta If you haven’t heard anyone talking about artificial intelligence (AI) yet,...
Exploring the Transformative Potential and Ethical Challenges of AI in Wealth Management
Nuno Godinho, Group CEO of Industrial Thought Group In recent years, the advent of AI has sparked both excitement...


Are SaaS platforms challenging banks for a piece of the payments pie?
Attributed to: Ralph Dangelmaier, Global CEO of BlueSnap The finance industry is at a tipping point with software firms...


Emerging technology will power long-term sustainability within the UK banking industry
By Peter-Jan Van De Venn, VP Global Digital Banking at Hexaware Mobiquity. Sustainability has been a big focus for...


Is your business suffering with Fintech FOMO?
Tom Kiddle, Chief Commercial Officer at Equals Money It’s a challenging time for businesses of all sizes, but the past three...


The Future of Banking: Streamlined Cash Management for ATMs
Gaetano Ziri, Innovation Manager, Auriga “Maintaining free access to cash for the community demands robust strategies to mitigate the...


Can AI revolutionise wealth management?
~ The benefits of AI when collecting and analysing financial data ~ Global fintech company Finder reported that around...


Where is the value in generative AI for financial services?
Michael Conway, Executive Partner, Data, AI and Technology Transformation Service Line Leader at IBM Consulting The New York Times...


Connecting the security dots with cyber fusion
Anuj Goel, Co-founder and CEO at Cyware Against the backdrop of Russian-based hacktivists declaring war on Europe’s financial systems, the...


Exploring the symbiotic advantages of SoftPoS for merchants and consumers
By: Brad Hyett, CEO at phos by Ingenico Amid the dynamic shifts that have come to define today’s fintech...


Investing In Bitcoin: What You Need To Understand Before You Buy
Bitcoin—the digital currency that launched a financial revolution—is more than a trending investment. This decentralized currency, free from traditional banking...
How the LEI Can Help Financial Institutions ‘Address’ a Growing Challenge in ISO 20022
The vast complexity and inconsistency of address formats globally presents significant challenges for financial institutions. In this blog, GLEIF’s Head...


Building towards an inclusive financial future
By Catharina Eklof, CCO of IDEX Biometrics From the visually impaired to displaced migrants, the unbanked, and people living...


Euro deep tech M&A deal value expected to reach $20bn+ in the next 15 months
Written by Oliver Warren, Associate at DAI Magister Investment in European deep tech has mirrored the broader decline in...


Why ESG Investing Is Becoming More Important
Author: Urtė Karklienė, Sustainability Manager at Oxylabs Environmental, social, and governance (ESG) term was first mentioned in a 2004...


Preparing banks for digital transformation
By Joman Kwong, Strategic Solutions Manager, Financial Services at Laserfiche Today, digital transformation is imperative for every industry. After...


The critical tech to deliver personalised digital financial experiences
Jay Sanderson, Senior Product Marketing Manager, Digital Experience at Progress Providing customers with outstanding digital experiences is now a must...


Bank-fintech partnerships can shape the future of cross-border payments
Steve Naudé, Head of Wise Platform People and businesses are more interconnected than ever. In today’s global economy, international...


DORA Compliance in Financial Organisations: What You Need to Know
Nick Hogg, Director of Security Training, Fortra The regulatory landscape is tightening for European banking, financial, and insurance institutions....


How sound investment research can revive the City of London
Author: Neil Shah, Director at Edison Group A few months ago, leading portfolio manager Nick Train described the modern...

In-platform solutions are only a short-term enhancement, but bespoke AI is the future
Exploring the Transformative Potential and Ethical Challenges of AI in Wealth Management

Are SaaS platforms challenging banks for a piece of the payments pie?

Emerging technology will power long-term sustainability within the UK banking industry

Is your business suffering with Fintech FOMO?

The Future of Banking: Streamlined Cash Management for ATMs

PCI DSS v.4.0 Latest Updates That You Need to Know

RBI’s MASTER DIRECTION ON DIGITAL PAYMENTS SECURITY CONTROLS

EMV® 3-D SECURE: ENABLING STRONG CUSTOMER AUTHENTICATION

HOW TO SIMPLIFY IDENTIFICATION IN THE GLOBAL DIGITAL ECONOMY WITH THE LEI

EXEGER – CHANGING THE PERCEPTION OF POWER

FUTURE FX PROMO
Trending
-
News4 days ago
How the LEI Can Help Financial Institutions ‘Address’ a Growing Challenge in ISO 20022
-
Finance2 days ago
Investing In Bitcoin: What You Need To Understand Before You Buy
-
Finance2 days ago
Where is the value in generative AI for financial services?
-
Banking2 days ago
Emerging technology will power long-term sustainability within the UK banking industry