83% of investment banks have no real-time access to data or analytics, study finds

Rick Steves

“As AI continues to evolve, so does the sophistication of the data analytics solutions it underpins – but before banks can take advantage of this they must first address the ‘state’ of their data.”

A recent study by Mosaic Smart Data, a leading capital markets data analytics firm, has shed light on significant challenges faced by investment banks in managing data quality and integrity.

Despite substantial annual investments in data management solutions, reaching approximately USD 88 million, many banks are still struggling to leverage AI effectively in their front office operations.

Two-thirds of banks grapple with the most critical data

The research, encompassing a detailed analysis of six million FICC (Fixed Income, Currencies, and Commodities) transactions across global and regional investment banks, reveals a concerning scenario:

Data Quality and Integrity: 66% of the banks surveyed are grappling with issues related to data quality, including incomplete data capture and significant gaps in important data points.

Lack of Real-Time Analytics: A staggering 83% of banks do not have real-time access to transaction data or analytics capabilities, primarily due to the absence of centralized data repositories.

Access to Data: Two-thirds of the banks report difficulties in accessing the most critical data for their analytics, citing reasons such as data fragmentation or total inaccessibility.

Unfit Reference Data: Half of the banks face challenges with reference data, lacking a unified counterparty identifier, which is crucial for client static data.

“No powerful analytics or AI can fully function if data is not normalized”

Matthew Hodgson, CEO and founder of Mosaic Smart Data, said: “As AI continues to evolve, so does the sophistication of the data analytics solutions it underpins – but before banks can take advantage of this they must first address the ‘state’ of their data.

“No powerful analytics or AI can fully function if data is not normalized, maintained in an orderly fashion and gaps in the data enriched. This must be addressed before an analytics programme can progress successfully. It is now a crucial time to invest in data and analytics to revolutionize the front office of investment banks – but ROI must be guaranteed in the current economic climate, and this begins with better data health. Making the right changes today can deliver significant long-term returns.”

Key challenges faced by investment banks

The study by Mosaic Smart Data highlights several critical challenges faced by investment banks in the front office, which hinder the effectiveness of data analytics and the realization of potential returns on investment. These challenges include data fragmentation, difficulties in handling voice data, gaps in instrument static data, and issues with counterparty static data.

1. Data Fragmentation:
Data fragmentation poses a significant challenge as it leads to inconsistencies and inefficiencies. Key aspects of this challenge include:

Multiple Data Sources: Banks often need to integrate 5-10 different data sources to gain a comprehensive view, leading to complex data management and increased chances of discrepancies.
Disparate Front-End Systems: Front office staff typically use 2-3 systems for their data needs. These systems often have multiple pages and interfaces, adding to the complexity and time required to access and interpret data.

2. Voice Data Collection:
Voice data, representing a considerable portion of transactions, especially in derivatives and unstructured communications, presents two main challenges:

Missed Voice Trades: Many institutions fail to capture missed voice inquiry data due to inadequate implementation of sales-to-trader ticketing systems. This gap results in a loss of valuable data that could inform trading decisions and client relations.
Bloomberg Chats: Although Bloomberg chats contain rich trade and inquiry data, the unstructured nature of this data makes it challenging to extract actionable insights. Efficient technologies for processing and analyzing this unstructured data are scarce and often not effectively implemented.

3. Instrument Static Data Gaps:
Instrument static data, particularly for Interest Rate Swaps and Credit Redeemable Bonds, has significant gaps that hinder risk assessment and analytics:

Interest Rate Swaps (IRS): Critical data points such as Delta/DV01, floating rate index, and interest rate payment conventions are often missing. This lack of data prevents comprehensive risk analysis and understanding of IRS flows.
Credit Redeemable Bonds: Despite the increasing prevalence of these bonds, data on redemption dates, prices, and yield to worst are often incomplete or missing. This gap significantly impacts the risk profiling and potential revenue generation from these instruments.

4. Counterparty Static Data Issues:
Counterparty static data is crucial for risk analysis, client relationship management, and regulatory compliance. The challenges in this area include:

Inconsistent Identifier Mapping: A lack of consistent unique identifiers across systems makes it challenging to track and analyze counterparty interactions and exposures accurately.
Fragmented Counterparty Data: Counterparty data is often scattered across various systems, such as CRMs, trading, and pricing systems, making it difficult to obtain a unified view of counterparty relationships.
Poor Granularity and Mis-categorization: The lack of detailed segmentation and categorization of counterparties, coupled with frequent mis-categorizations, hampers effective risk analysis and client segmentation strategies.

  • Read this next

    Institutional FX

    Intercontinental Exchange reinvents voice trading with ICE Voice

    “For the first time, ICE’s users will have a single, integrated platform for chat and voice that matches both traders’ need for always-on, instantaneous connectivity with other traders, and firms’ desire for easy-to-access and use records that help them meet their record retention requirements.”


    Duco launches EMIR-compliant transaction reporting eligibility validator

    “With Duco’s transaction reporting eligibility validator, customers can run independent checks whenever they want, get results in minutes, and access a clear audit trail. The solution provides insights at a field-by-field level so clients can see specific issues, discuss, and show ESMA they are considering discrepancies at a deep level.”

    Digital Assets

    Bybit’s trading volume near all-time high ahead of Bitcoin halving

    “Now, we’re seeing large inflows and smart money is moving fast. With the Bitcoin halving just around the corner, Bitcoin is proving itself as an institutional asset, a hedge against economic uncertainty, and a vote for financial freedom.”

    Digital Assets

    Morgan Stanley to add spot bitcoin ETFs

    Morgan Stanley is reportedly considering adding spot bitcoin ETF products to its brokerage platform. This move comes after the Securities and Exchange Commission (SEC) approved the investment vehicle in January.

    Digital Assets

    Hong Kong ends license applications for crypto exchanges

    Hong Kong has officially ceased accepting license applications from cryptocurrency exchanges as of February 29, signaling a stringent regulatory shift.


    Volt secures EMI license, expands payment solutions in UK

    Volt has successfully obtained an Electronic Money Institution (EMI) license from the UK’s Financial Conduct Authority (FCA).

    Retail FX

    ASIC bankrupts finfluencer Tyson Scholz over stock tips

    The Australian Securities and Investments Commission (ASIC) has effectively bankrupted Tyson Robert Scholz, the figure behind “Black Wolf Pit.” The action marks a significant crackdown on so-called ‘finfluencers’ and individuals providing unlicensed financial services.

    Digital Assets

    Green Bitcoin Presale Raises $1M as Bitcoin Approaches its ATH

    The eco-friendly crypto project Green Bitcoin has seen its limited-time presale phase cross $1 million in funding. With an innovative gamified staking model and energy-efficient foundation, Green Bitcoin offers token holders a way to stake their tokens and generate yield.


    Introducing QuickNode Streams: Elevating Blockchain Data Management

    Discover QuickNode’s Latest Innovation: Streamlining Blockchain Data Streaming for Enhanced Efficiency and Accessibility. Explore the Future of Blockchain Technology with Streams.