Gresham’s report highlighted that companies face escalating costs from growing data volumes and hidden expenses.
AI initiatives have also been hindered by poor data management, as faulty data leads to errors.
For too long, financial firms have relied on outdated
data systems that undermine efficiency and inflate costs. Despite the effort to
harness better technology, such as artificial intelligence (AI), many institutions
struggle with fragmented infrastructures.
These are the findings of recent research by
Gresham, which highlighted that such systems result in inefficiencies and
increase regulatory risks. Many financial firms reportedly depend on
spreadsheets and outdated tools. According to the research, this creates complex ecosystems of data silos and inconsistent quality, complicating integration and
slowing decision-making.
Cost of Data Mismanagement
For example, UK firms onboard new data faster than
their US counterparts, taking weeks instead of months. This highlights the
urgent need for streamlined infrastructures.
However, 44% of firms struggle with managing data
stored across multiple locations, leading to redundancies and inflated costs.
Escalating data volumes come with surging expenses, yet most firms lack
real-time cost-tracking systems.
Only 21% monitor data consumption and costs in real
time, leaving the rest vulnerable to unexpected bills. Smaller firms, in
particular, reportedly struggle with manual tracking methods that delay
reporting and strain budgets.
Source: Gresham
Opaque pricing models and fragmented budgets compound
these issues. Hidden cost surprises related to data management remain a major
concern, the report reveals, with 34% of firms identifying them as a
significant challenge.
Real-time Data Management
Real-time data management is critical for financial
firms to maintain a competitive edge, yet many hesitate to overhaul their
systems. While 79% of firms plan to increase their budgets for real-time data,
foundational practices often lag behind.
Besides this, the report pointed out that relying
solely on AI without data efficiency worsens these challenges. Faulty data
results in errors through AI systems, creating misleading insights and higher
costs. Without proper data management, AI initiatives can fail to deliver
meaningful results, warned the report.
Source: Gresham
The research has now made recommendations for better
data systems. This includes centralizing budgets and implementing scalable and
real-time data systems to reduce redundancies and improve decision-making. It also recommended embracing data-as-a-service
solutions to cut costs while increasing operational efficiency.
A recent report focusing on payment data showed how technologies like artificial intelligence can transform raw data into strategic insights based on a unified dataset or advanced analytics. This is because AI can uncover hidden patterns and trends that might not be visible with traditional methods.
For too long, financial firms have relied on outdated
data systems that undermine efficiency and inflate costs. Despite the effort to
harness better technology, such as artificial intelligence (AI), many institutions
struggle with fragmented infrastructures.
These are the findings of recent research by
Gresham, which highlighted that such systems result in inefficiencies and
increase regulatory risks. Many financial firms reportedly depend on
spreadsheets and outdated tools. According to the research, this creates complex ecosystems of data silos and inconsistent quality, complicating integration and
slowing decision-making.
Cost of Data Mismanagement
For example, UK firms onboard new data faster than
their US counterparts, taking weeks instead of months. This highlights the
urgent need for streamlined infrastructures.
However, 44% of firms struggle with managing data
stored across multiple locations, leading to redundancies and inflated costs.
Escalating data volumes come with surging expenses, yet most firms lack
real-time cost-tracking systems.
Only 21% monitor data consumption and costs in real
time, leaving the rest vulnerable to unexpected bills. Smaller firms, in
particular, reportedly struggle with manual tracking methods that delay
reporting and strain budgets.
Source: Gresham
Opaque pricing models and fragmented budgets compound
these issues. Hidden cost surprises related to data management remain a major
concern, the report reveals, with 34% of firms identifying them as a
significant challenge.
Real-time Data Management
Real-time data management is critical for financial
firms to maintain a competitive edge, yet many hesitate to overhaul their
systems. While 79% of firms plan to increase their budgets for real-time data,
foundational practices often lag behind.
Besides this, the report pointed out that relying
solely on AI without data efficiency worsens these challenges. Faulty data
results in errors through AI systems, creating misleading insights and higher
costs. Without proper data management, AI initiatives can fail to deliver
meaningful results, warned the report.
Source: Gresham
The research has now made recommendations for better
data systems. This includes centralizing budgets and implementing scalable and
real-time data systems to reduce redundancies and improve decision-making. It also recommended embracing data-as-a-service
solutions to cut costs while increasing operational efficiency.
A recent report focusing on payment data showed how technologies like artificial intelligence can transform raw data into strategic insights based on a unified dataset or advanced analytics. This is because AI can uncover hidden patterns and trends that might not be visible with traditional methods.
How FYNXT is Transforming Brokerages with Modular Tech | Executive Interview with Stephen Miles
How FYNXT is Transforming Brokerages with Modular Tech | Executive Interview with Stephen Miles
Join us for an exclusive interview with Stephen Miles, Chief Revenue Officer at FYNXT, recorded live at FMLS:25. In this conversation, Stephen breaks down how modular brokerage technology is driving growth, retention, and efficiency across the brokerage industry.
Learn how FYNXT's unified yet modular platform is giving brokers a competitive edge—powering faster onboarding, increased trading volumes, and dramatically improved IB performance.
🔑 What You'll Learn in This Video:
- The biggest challenges brokerages face going into 2026
- Why FYNXT’s modular platform is outperforming in-house builds
- How automation is transforming IB channels
- The real ROI: 11x LTV increases and reduced acquisition costs
👉 Don’t forget to like, comment, and subscribe.
#FYNXT #StephenMiles #FMLS2025 #BrokerageTechnology #ModularTech #FintechInterview #DigitalTransformation #FinancialMarkets #CROInterview #FintechInnovation #TradingTechnology #IndependentBrokers #FinanceLeaders
Join us for an exclusive interview with Stephen Miles, Chief Revenue Officer at FYNXT, recorded live at FMLS:25. In this conversation, Stephen breaks down how modular brokerage technology is driving growth, retention, and efficiency across the brokerage industry.
Learn how FYNXT's unified yet modular platform is giving brokers a competitive edge—powering faster onboarding, increased trading volumes, and dramatically improved IB performance.
🔑 What You'll Learn in This Video:
- The biggest challenges brokerages face going into 2026
- Why FYNXT’s modular platform is outperforming in-house builds
- How automation is transforming IB channels
- The real ROI: 11x LTV increases and reduced acquisition costs
👉 Don’t forget to like, comment, and subscribe.
#FYNXT #StephenMiles #FMLS2025 #BrokerageTechnology #ModularTech #FintechInterview #DigitalTransformation #FinancialMarkets #CROInterview #FintechInnovation #TradingTechnology #IndependentBrokers #FinanceLeaders
Executive Interview | Charlotte Bullock | Chief Product Officer, Bank of London | FMLS:25
Executive Interview | Charlotte Bullock | Chief Product Officer, Bank of London | FMLS:25
In this interview, we sat down with Charlotte Bullock, Head of Product at The Bank of London, previously at SAP and now shaping product at one of the sector’s most ambitious new banking players.
Charlotte reflects on the Summit so far and talks about the culture inside fintech banks today. We look at the pressures that come with scaling, and how firms can hold onto the nimble approach that made them stand out early on.
We also cover the state of payments ahead of her appearance on the payments roundtable: the blockages financial firms face, the areas that still need fixing, and what a realistic solution looks like in 2026.
In this interview, we sat down with Charlotte Bullock, Head of Product at The Bank of London, previously at SAP and now shaping product at one of the sector’s most ambitious new banking players.
Charlotte reflects on the Summit so far and talks about the culture inside fintech banks today. We look at the pressures that come with scaling, and how firms can hold onto the nimble approach that made them stand out early on.
We also cover the state of payments ahead of her appearance on the payments roundtable: the blockages financial firms face, the areas that still need fixing, and what a realistic solution looks like in 2026.
In this conversation, we sit down with Drew Niv, CSO at ATFX Connect and one of the most influential figures in modern FX.
We speak about market structure, the institutional view on liquidity, and the sharp rise of prop trading, a sector Drew has been commenting on in recent months. Drew explains why he once dismissed prop trading, why his view changed, and what he now thinks the model means for brokers, clients and risk managers.
We explore subscription-fee dependency, the high reneging rate, and the long-term challenge: how brokers can build a more stable and honest version of the model. Drew also talks about the traffic advantage standalone prop firms have built and why brokers may still win in the long run if they take the right approach.
In this conversation, we sit down with Drew Niv, CSO at ATFX Connect and one of the most influential figures in modern FX.
We speak about market structure, the institutional view on liquidity, and the sharp rise of prop trading, a sector Drew has been commenting on in recent months. Drew explains why he once dismissed prop trading, why his view changed, and what he now thinks the model means for brokers, clients and risk managers.
We explore subscription-fee dependency, the high reneging rate, and the long-term challenge: how brokers can build a more stable and honest version of the model. Drew also talks about the traffic advantage standalone prop firms have built and why brokers may still win in the long run if they take the right approach.
Executive Interview | Remonda Z. Kirketerp Møller| CEO & Founder Muinmos | FMLS:25
Executive Interview | Remonda Z. Kirketerp Møller| CEO & Founder Muinmos | FMLS:25
In this interview, Remonda Z. Kirketerp Møller, founder of Muinmos, breaks down the state of AI in regtech and what responsible adoption really looks like for brokers. We talk about rising fragmentation, the pressures around compliance accuracy, and why most firms are still in the early stages of AI maturity.
Ramanda also shares insights on regulator sandboxes, shifting expectations around accountability, and the current reality of MiCA licensing and passporting in Europe.
A concise look at where compliance, onboarding, and AI-driven processes are heading next.
In this interview, Remonda Z. Kirketerp Møller, founder of Muinmos, breaks down the state of AI in regtech and what responsible adoption really looks like for brokers. We talk about rising fragmentation, the pressures around compliance accuracy, and why most firms are still in the early stages of AI maturity.
Ramanda also shares insights on regulator sandboxes, shifting expectations around accountability, and the current reality of MiCA licensing and passporting in Europe.
A concise look at where compliance, onboarding, and AI-driven processes are heading next.
In this conversation, we speak with Aydin Bonabi, CEO and co-founder of Surveill, a firm focused on fraud detection and AI-driven compliance tools for financial institutions.
We start with Aydin’s view of the Summit and the challenges brokers face as fraud tactics grow more complex. He explains how firms can stay ahead through real-time signals, data patterns, and early-stage detection.
We also talk about AI training and why compliance teams often struggle to keep models accurate, fair, and aligned with regulatory expectations. Aydin breaks down what “good” AI training looks like inside a financial environment, including the importance of clean data, domain expertise, and human oversight.
He closes with a clear message: fraud is scaling, and so must the tools that stop it.
In this conversation, we speak with Aydin Bonabi, CEO and co-founder of Surveill, a firm focused on fraud detection and AI-driven compliance tools for financial institutions.
We start with Aydin’s view of the Summit and the challenges brokers face as fraud tactics grow more complex. He explains how firms can stay ahead through real-time signals, data patterns, and early-stage detection.
We also talk about AI training and why compliance teams often struggle to keep models accurate, fair, and aligned with regulatory expectations. Aydin breaks down what “good” AI training looks like inside a financial environment, including the importance of clean data, domain expertise, and human oversight.
He closes with a clear message: fraud is scaling, and so must the tools that stop it.
