Making ISO 20022 compliance more than just a regulatory requirement - The importance of “data standards and data maintenance” for companies/banks

Insight
Mar 4, 2025
  • Banking/Capital Markets
1047930492

As ISO 20022 spreads around the world, going forward, it is important for companies and banks to standardize and utilize data for their own growth, rather than merely responding to the system. Data standardization plays a major role when considering system integration and data linkages between different companies (such as during PMI after an M&A and with supply chains) alongside the use of AI and process automation.

In this Insight, we will explain the importance and effectiveness of data standardization for banks' customer service and planning departments, as well as for corporate CIOs, and CFOs, etc. We will also explore how companies and banks can achieve improved operational efficiency through data standardization.

About the Author

  • Rei Kubo

    Senior Manager

1 Introduction

In 2024, Society for Worldwide Interbank Financial Telecommunication (SWIFT) and other settlement systems around the world began using ISO 20022. ISO 20022 is the international standard for communications in the finance industry, It allows for efficient standardized data exchanges between differing financial institutions and systems through the use of a standardized format. Remittance requests from companies to banks and settlement data between financial institutions followed suit, resulting in a trend toward data standardization.

This trend is a good opportunity for banks and companies to review "data standardization" using global and industry standards. Data standardization is expected to become a measure that will lead to improved operational efficiency and AI data analysis, which are management challenges for many companies and banks.

In this Insight, we will review the effectiveness of global "data standardization" based on ABeam Consulting's knowledge and achievements, such as ISO 20022 compliance for companies and banks, Post Merger Integration (PMI) achievements, AI introduction support, and digitalization support in the trade field.

2 Current Situation and Challenges

First we will focus on initiatives that are closely related to "data standardization" among companies and banks.

Current Situation and Challenges for Companies

Common Management Challenges

Executives face numerous management challenges. However, data standardization and the subsequent "restructuring of business foundations" and "improving the efficiency of logistics" are particularly relevant to data standardization, which is the focus of this Insight (see Figure 1).

Figure 1. Examples of management challenges

Business foundation restructuring includes divestitures, business transfers, and share exchanges with other companies. M&A is typically how companies grow and expand their business. Global companies engaged in M&A as part of their growth strategy are now using Shard Service Center (SSC) (see Figure 2), and as part of PMI, business integration with acquired companies is considered and implemented for each M&A. At this time, what is important in business integration is what kind of data is managed and how both the acquiring companies and the acquired companies manage their respective data. The larger this gap, the more resources will be spent on business integration.

Figure 2. Typical examples of SSC

To improve logistical efficiency, domestic and overseas supply chains rationally select suppliers after considering quality, price, delivery speed, geopolitical risks, and other factors. This is known as "supply chain resilience," and governments around the world see the urgent need to strengthen them (see Figure 3). In Japan, supply chains rely on "affiliates" in which corporate groups conduct business transactions amongst themselves, but now the government is encouraging companies to localize procurement. The current trend is to break away from supply chains, making it necessary to efficiently exchange transaction information with companies outside of the affiliate. Again, what is important here is how the two sides exchange data during their business transactions.

Figure 3. Supply chain trends - Government initiatives

Post-M&A PMI Challenges

In most cases, companies that conduct M&A and companies that are integrated through M&A have different business practices. Even if the two companies use the same ERP (core system), there are many cases in which there are differences in the work performed outside the ERP, add-on functions, peripheral systems, etc. (see Figure 4).

Figure 4. Examples of different operations and systems at each company

To integrate operations, they must investigate, examine policies, and integrate business processes, data formats, items to be used, and systems for processing data.

Among our many support achievements, one of the most common consulting tasks is providing assistance in bridging the gap when business processes and data are not unified after an M&A. There are many cases in which the integration of an ERP and peripheral systems are selected, and differences in the granularity of the data and the required items necessitate the creation of migration data and additional development, which takes time and effort (see Figure 5).

Figure 5. Difficulties with data integration

Supply Chain Challenges

In Japan, Electronic Data Interchange (EDI) has individual supply chains centered on large companies, based on industry standards such as distribution BMS*1 and ECALGA*2.
However, although industry standards have been established for EDI, each supply chain is not connected. In addition, there are also different billing methods and rules for receipt reconciliation aside from EDI. This makes it difficult to conduct a smooth series of operations, from transactions to settlements, with new business partners (see Figure 6).

The government and others are considering a common EDI*3 for small and medium-sized enterprises and a next-generation trading platform as a mechanism to eliminate individual supply chains. But according to a survey commissioned by the Ministry of Economy, Trade and Industry*4, we are only halfway there when compared to overseas systems. In addition, there are cases in which Japanese companies are implementing their own trading practices overseas. These situations are widespread in Japan due to weak enforcement of regulations and weak incentives to respond.

UN/EDIFACT*5 has become popular overseas as EDI, mainly in Europe and Asia.
Peppol*6 for invoicing, specific items of ISO 20022 for settlement, Request to pay*7/Direct Debit, etc. are also used to automate reconciliation. Peppol and ISO 20022 are widely used in Europe and elsewhere because regulations require them.

Figure 6. What needs to be done when you have a new business partner

*1 Distribution BMS: The Distribution Business Message Standard is an EDI standard used in the consumer goods distribution industry to exchange information between manufacturers, wholesalers, and retailers.
*2 ECALGA: Electronic Commerce ALliance for Global Business Activity is an EDI designed to seamlessly connect business processes digitally between companies and improve operational efficiency.
*3 Common EDI for small and medium-sized enterprises: EDI designed for small and medium-sized enterprises for simplicity, convenience, low cost, serving as a new ordering mechanism to replace the fax. Since common EDI for small and medium-sized enterprises EDI is based on UN/EDIFACT, it is flexible enough to handle international transactions. Next-Generation Trading Platform:
https://www.chusho.meti.go.jp/keiei/gijut/digitalization/index.html (Japanese only)
*4 International Economic Research Project for the Establishment of Integrated Economic Growth Strategies at Home and Abroad (Advanced Domestic and Overseas Fact-Finding Survey on One-Stop Operation of Ordering, Billing, and Settlement between Companies): 000711.pdf (meti.go.jp) (Japanese only)
*5 UN/EDIFACT: United Nations/Electronic Data Interchange for Administration, Commerce and Transport is an international standard for EDI. It provides rules, directories, and guidelines for the electronic exchange of structured data between different computer systems.
*6 Peppol: An international standards framework for e-commerce. It allows companies and public institutions to exchange business documents in a standardized format, such as invoices.
*7 Request to pay (Request for pay): In some regions, it is called Request for pay.

The challenges in this chapter are summarized below (see Figure 7).

Figure 7. Examples of challenges on the corporate side

Current Situation for Banks

Banks are under pressure from companies for cheaper and higher-quality services. One of the points of contention is how to increase the proportion of services that do not depend on human resources. This is because parts involving human resources become bottlenecks, and the amount of work that can be handled depends on available human resources. If the number of employees increases, the total labor cost will increase, and if the cost is passed to the product, the price of the product may not match the market price. In addition, it may be difficult to increase the number of employees in places where the population is declining. 

Banks, especially in the fields of settlement and trade finance, continue to improve efficiency through system-based automation (STP, Straight Through Processing) (see Figure 8). The key to this automation is whether companies can pass data as the bank expects.

Figure 8. Examples of other banks working on STP

Challenges for Banks

It is necessary to incorporate STP to achieve operations that do not involve humans, but there are challenges to consider (see Figure 9).

Figure 9. Examples of STP challenges

OCR and AI have recently become able to distinguish data. But even if AI analyzes data in an unstructured format, it is still necessary to judge the results manually, making it difficult to automate processing.

3 Direction for Companies and Banks

Direction for Companies

To quickly advance business with a new business partner or through PMI after an M&A, it is important to be able to quickly share information. To enable information sharing, it is necessary to pay attention to the data integrated and how it is handled. As for supply chains, it is necessary to put in place a system that takes standards into consideration, especially in other countries.

Use of Data Standards

Standards such as ISO 20022 for settlement, Peppol for invoices, and UN/EDIFACT for EDI are becoming common. However, many companies still continue to use their own standards for various reasons, such as inertia, sufficiency of the current system, or ROI concerns related to replacing manual operations. Companies must use data standards to become more agile, advance the process of converting data to machine-readable data, and build a management foundation that is highly compatible with other companies (see Figure 10). This will increase data compatibility in PMI and reduce the tasks involved in PMI because  the same data standards are being used. Additionally, the supply chain can quickly start doing business with new trading partners who use the same standards.

Figure 10. Use of data standards

Converting Data to Machine-Readable Formats

If you are working with non-standard paper materials or PDF data, such as purchase orders and invoices in different formats for each business partner, you will not be able to improve efficiency unless you first convert them to machine-readable data. The use of AI is on the management agenda of many companies to gain this capability. But if there are restrictions on the data side (incorrectly filled out forms, atypical materials, etc.), it may be necessary to check with the person in charge and train the generative AI, making the operation much less efficient.

To improve medium- to long-term management efficiency, it is necessary to transform the system so that AI uses data standards that make it easier to process operations as agents*8 rather than assistants. This is expected to lead to a shift from a style of work in which AI and persons work together to a style in which AI does the work alone.

*8 Agent: Software program or system designed to accomplish a specific task or goal. AI agents have characteristics such as "autonomy," "adaptability" (the ability to take appropriate action in response to changes in the data), "cooperation" (the ability to share information and work with other AI agents), and "goal orientation" (the ability to achieve goals).

Direction for Banks

Banks must also use data standards to improve the STP conversion rates, convert them to machine-readable data, and organize them so that they can be read by AI. Some banks are working to improve their data in light of the recent evolution of AI, while others are considering switching to an agent-type AI for some departmental operations. To accelerate these developments, banks urgently need data scientists or other personnel who can make good use of AI data.

Use of Data Standards in the Trade Sector

ISO 20022 is advancing data standardization for remittances, but it is a work in progress in the trade sector, which is related to banks. There is a trend to standardize data and shift to machine-readable data through the active use of standard data formats and platforms such as Komgo, TradeWaltz, Bolero, and NTP in Singapore (see Figure 11).

Figure 11. Major trading platforms

4 Summary

Many companies and banks have responded to ISO 20022, and this Insight states that standardizing their own data may allow them to use AI more effectively, automate processing, and transform them into agile organizations.

There are still data formats beyond the examples introduced here that must be standardized by companies and banks. In addition to gaining the ability to utilize existing standard data, it is also important to work with related organizations (including legislation) in areas where standards do not exist.

Companies must standardize their internal business processes and data while complying with the laws of each country and accounting for their own circumstances, as well as those of banks and other companies.

Banks can improve efficiency by requiring companies that request bank services to use data standards. Companies may also benefit from the agility and cost advantages of providing standardized data to banks.

It is important for banks and companies to use data standards to ensure the further growth. To propel these initiatives, it is necessary to have a team with advanced expertise in a wide variety of industries and operations that can bring together companies, banks, related platforms, and other organizations. ABeam Consulting provides comprehensive consulting services such as "IT Due Diligence Support Services," "Business Due Diligence," and "PMI Support for M&A Success" (all Japanese only)to support companies and banks.

If you are working to standardize the data covered in this Insight, please contact us.


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