About CDL
About Us
コンプライアンス・データラボ株式会社 (Compliance Data Lab, Inc.)
Address:
Marunouchi Nijubashi Bldg, 3 Chome−2−2
Chiyoda City, Marunouchi, Tokyo 100-0005 JAPAN
Establishment Date:
1st April 2021
Business Activities:
Compliance Management Services, Consulting, Systems Integration.
マネジメントチーム
CEO & Representative Director
山崎 博史 (Hirofumi Yamazaki)
After working in the planning and development of ERP and regulatory systems at Fujitsu and NTT Data, Hirofumi joined a US consulting firm where he provided risk management consulting services to numerous financial institutions and more. In 2012, he joined the Japanese subsidiary of US company Dun & Bradstreet. Here, he was responsible for product marketing as well as the release and sales of risk management and compliance products in Japan. In 2020, he moved to Tokyo Shoko Research, where he developed solutions focusing on the Compliance field as Head of Solution Development.
Qualifications:
- Certified Global Sanctions Specialist (CGSS)
- Certified Anti-Money Laundering Specialist (CAMS)
- Certified Information Systems Auditor (CISA) Author Biography
- Masters of Science in Engineering (MSE), Johns Hopkins University, USA
CDO & CTO
ウオリック・マセウス(Warwick Matthews)
Warwick has more than 15 years of expertise in designing, building and managing complex global data, multilingual MDM, identity resolution and Data Supply Chain processes, building new best-in-class systems, and integrating third-party platforms. He has also recently been involved in the establishment of Privacy & Consent regimes for major corporations.
He has led data teams in the US, Canada, Australia and Japan, most recently leading identity data teams for Loblaw Companies Limited (Canada's largest retail group) and the National Football League (NFL) in the US.
Warwick is also co-inventor of multiple patents in several areas, including business identity data validation in Asian languages, cross-lingual heuristic transliteration analysis, unstructured data curation and business to geography identity data validation.
Director & COO
笠井 麻矢子 (Mayako Kasai)
For almost 20 years, including as an intern while still still in school, Mayako worked at the Japanese subsidiary of Dun & Bradstreet, one of the world's largest corporate credit research companies. She worked on numerous projects as a data consultant in the field of data integration and domestic and international data management.
Mayako was also involved in the development of a Japanese language matching engine, for which she obtained a joint patent. In the data fulfilment team, she has led teams dedicated to data delivery tailored to customer needs. Additional experience includes in-flight interpreting for a US airline, partner management for a US IT company, and product management for Tokyo Shoko Research.
Principal
伊藤光茂（Mitsushige Ito)
After graduating from the Graduate School of Economics at Waseda University, Mitsushige worked at Dream Incubator and Fast Retailing before founding Gunosy, Inc. As Director and CFO, he took the company to the First Section of the Tokyo Stock Exchange within 5 years of its establishment. He later served as Executive Vice President and CFO of Mirativ. Currently, in addition to serving as an advisor to the IPC of the University of Tokyo, he is engaged in angel investment and advisory work for several startup companies. He is also a part-time lecturer for the MBA program at the Graduate School of Management, Globis University. His publications include “Rethinking Stock Options and Points to Consider When Issuing Stock Options (Chuokeizai-sha)” and “Early Shareholders' Meetings and Their Significance (Chuokeizai-sha)”.
Advisory Board
影山 泰仁 (Yasuhito Kageyama)
As a principal systems consultant at a major foreign integrated firm, Yasushito provided consulting services in IT, management, and risk management in a wide range of areas including the banking industry. He has over 30 years of experience as a partner in several national and international consulting firms, including as a partner in a BIG4 firm with general responsibility for Europe (London and Amsterdam). He has also managed the administrative headquarters of a foreign bank and the sales and solutions headquarters of a Japanese IT company.
アンソニー・スクリッフィニャーノ Ph.D.
(Dr. Anthony Scriffignano, Ph.D.)
As a world-renowned data scientist, Dr. Scriffignano has over 40 years of experience in various industries and corporate domains. He has an extensive background in anomaly detection, computational linguistics, and advanced inference algorithms. He is the inventor of several patents worldwide. Dr. Scriffignano was recognised as U.S. Chief Data Officer of the Year in 2018 by the CDO Club and is currently a Distinguished Fellow at the Stimson Centre, a think-tank dedicated to strengthening international peace and security.
Dr. Scriffignano is a member of the OECD's AI Experts Network and serves as a member of the Working Group on 'Trustworthy AI'. He also serves on various advisory boards in the US government, private sector and academia, and has recently provided insights into the implications of data science and the impact of the pandemic. Additionally, he has published and spoken in international forums on emerging trends in AI and advanced analytics, big data, multilingual challenges, and fraud in the commercial and public sector.
Mission
Bringing Compliance Closer.
～Towards a Safe, Secure, and Sustainable Society～
Today’s bad actors are becoming more and more sophisticated. Financial crimes, fraud, money-laundering, terrorism, human & wildlife trafficking and other high crimes continue to negatively impact the way companies – and societies - do business.
Regulations to prevent bribery, financial crime, terrorism and weapons of mass destruction globally are getting stricter year by year. Regulators are demanding effective controls, not just formal checklist controls. This is because it is becoming increasingly clear that formal controls fail to detect crime and cause significant damage. Crime in recent times has developed into something that involves many human lives. It is also not just a problem among humans, but crimes such as money laundering through the illegal trade in wildlife that can have a significant impact on ecosystems.
Of even greater concern is that many of these companies may not even be aware that they can be complicit to these crimes, thereby posing a huge risk to their business and reputation.
However, it is not easy to create an effective compliance management system. Regulatory guidelines require a significant level of control and while compliance management is something that companies must do, many companies do not allocate enough resources to it because it does not generate revenue.
CDL helps companies to achieve a high level of compliance management with such limited resources, using Data, Technology, and Knowledge.
We strive to make advanced compliance management accessible to many companies and contribute to building a safe, secure and sustainable society where crime is less likely to occur.
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Our Vision
Using Data to Manage Compliance
To become the No. 1 solution provider for data-driven compliance management
A proactive, risk-based approach is essential to achieve successful Compliance management outcomes. The risk-based approach is a method whereby risks are first identified and assessed (rather than conducting the same checks on all customers and suppliers). Risk reduction measures are then focused on customers and suppliers that are deemed to be high-risk. Internationally, the risk-based approach is positioned as the cornerstone of risk management.
However, this risk-based approach is a major challenge for Japanese companies. The main challenge is the lack of unified, accurate and sufficient data to identify and assess risks. As data is the basis of analysis for the risk-based approach, insufficient, duplicated or inadequate data means that risks cannot be accurately identified and assessed, and therefore appropriate risk mitigation measures cannot be taken.
Our team and our technology enables our customers to achieve effective, efficient compliance management through the implementation of a data-driven risk-based approach. We start with the identification and curation of data for risk identification and assessment based upon which we build effective compliance management with limited resources and at the lowest possible cost. We are on a mission to become the No. 1 solution vendor for data-driven compliance management.
CDL's commitment to Society.
・Integrity (誠実さ)：
We act with full integrity at all times.
・Customer Focus (お客様視点)：
We never lose sight of our customers' needs and desires.
・Change (変化)：
We do not fear change, and we will always strive for the best outcomes.
・Self-Management (自主経営)：
Each of us act responsibly, honorably, and with a leader mindset.
・Have Fun (仕事を楽しむ)：
We believe that having fun at work together leads to superior quality of service.
Our Logo Story
The logo of Compliance Data Lab symbolizes our goal of using data to make compliance risks visible, much like extracting specific substances from a liquid in a laboratory experiment.