Chartered Enterprise Data Analyst and Manager(CEDAM)

Modern society is a society of information explosion. With the rapid development of technology, the circulation of information is becoming faster. There are many challenges in finding useful data in the massive amount of information. Big data is the product of the high-tech era. The convergence of information technology and the economic and social spheres has triggered an explosive growth of data. Data contains important value and has become a strategic resource, increasingly influencing global production, circulation, distribution, consumption activities, as well as economic operation mechanisms, social lifestyles, and national governance capabilities.

The value of data lies not in its quantity but in its usefulness. The value content and mining cost of data are more important than the quantity of data itself.

For many businesses, how to make good use of these massive amounts of data is a key factor in winning the competition.

Effectively utilizing the large amount of data held by enterprises for classification, analysis, evaluation, and management to help organizations achieve cost reduction, efficiency improvement, new product development, and make wiser business decisions is a very challenging task.

To meet the needs of enterprises of data analysis and management services, the IFFSA has hired industry veteran professionals to develop a learning system for enterprise data analysis and management and launched the “Chartered Enterprise Data Analysts and Manager.” It is committed to cultivating and delivering more professional talents in the field of data analysis and management to society.

Certification Overview

The Chartered Enterprise Data Analyst and Manager, abbreviated as CEDAM, is primarily targeted towards new-age professionals in the field of enterprise operations, focusing on data collection, cleansing, mining, analysis, issue identification, pattern recognition, and the generation of data analysis reports. These professionals also provide guidance to others on effective management and application of data. The certification aims to enhance the data skills of digital professionals, support enterprise digital transformation, drive industry digital development, and contribute to sustainable economic growth.

In general, the following groups of individuals are well-suited to pursue this certification:

Those with strong learning abilities, computational skills, expressive capabilities, as well as analytical, reasoning, and judgment skills.

Professionals in product, operations, marketing, and other business roles, as well as those in research and development (R&D) and technical positions.

Entrepreneurs, managers, and management consulting professionals.
Professionals in business departments such as product, operations, marketing, as well as those in research and development (R&D), middle platform (mid-tier), and technical departments with roles related to data analysis.
Founders and relevant personnel in enterprises undergoing digital transformation.
Business and technical professionals seeking to enhance their skills in data analysis, data mining, machine learning, and other related technologies.
Researchers, analysts, and engineers involved in algorithmic science, deep learning, and related fields.
Recent graduates interested in pursuing careers in data analysis and management.
Professionals planning to transition from their current careers to roles related to data compliance.

Career paths for certificate holders may include roles such as business analyst, data analyst, data product operations, digital marketing, data specialist, data compliance officer, data management lead, chief data officer, and more.

Exam Requirements

Applicants must be at least 18 years old. Applicants must hold an associate degree or higher degree from a recognized institution. There are no restrictions on the field of study or prior experience.

Assessment Method

Exams are held on the last Saturday morning of March, June, September, and December each year. The examination is theoretical and consists of multiple-choice questions. Exams are conducted online in Chinese.The main focus of the examination is to assess candidates’ grasp of the basic requirements and relevant knowledge necessary for their profession.There are 100 multiple-choice questions in total, with a maximum score of 100 points.A passing score is achieved with a minimum of 60%. Candidates who pass the exam will receive a printed certificate within one month. Candidates who fail the exam on their first attempt are eligible for a free retake.

Exam Syllabus

Part 1 Fundamental Theoretical Knowledge

1.1 Basic knowledge of operating systems

1.2 Basic knowledge of computer networks

1.3 Basic knowledge of data structures and algorithms

1.4 Basic knowledge of databases

1.5 Basic knowledge of big data

Part 2 Fundamentals of Data Technology

2.1 Knowledge of big data platforms

2.2 Knowledge of data collection and preprocessing

2.3 Knowledge of data computation and metrics

2.4 Common data analysis and mining methods

2.5 Common data reporting and visualization techniques

2.6 Knowledge of data management

2.7 Knowledge of data operations

Part 3 Data Security Knowledge

3.1 Knowledge of security management for data applications, devices, and external service components

3.2 Knowledge of security management for data services and activities

3.3 Knowledge of security management for data service infrastructure

Part 4 Business Fundamentals

4.1 Product knowledge

4.2 International trade knowledge

4.3 Financial knowledge

4.4 Business knowledge

4.5 Enterprise management knowledge

Part 5 Interpretation of Relevant Laws and Regulations

5.1 Knowledge of the Personal Data (Privacy) Ordinance of Hong Kong

5.2 Knowledge of the Decision on Strengthening Network Information Protection

5.3 Knowledge of the Regulations on Cybersecurity Level Protection

5.4 Knowledge of the Measures for Data Security Management

5.5 Knowledge of the Data Security Law of the People’s Republic of China

5.6 Knowledge of the Personal Information Protection Law of the People’s Republic of China

5.7 Knowledge of the Cybersecurity Law of the People’s Republic of China

5.8 Knowledge of the General Data Protection Regulation (GDPR) of the European Union

Certificate Maintenance

Enterprise Data Analytics and Management Certification holders are required to complete 60 subsequent education credits every 3 years to renew the certificate.

Charge Details

Exam fee: HK$520 for the first time, including one free make-up exam; Retake HK$300.

Membership fee: HK$120 per year.

Certificate maintenance: HK$300 per time, every three years.

If you already hold other IFFSA certifications, the first exam fee is only HK$300, and the membership fee and certificate maintenance fee are applicable. Either membership fee or certificate maintenance fee can be paid.

Certificate Conversion

Hold one of the active CFA certification, FRM certification, IAPP certification, after meeting certain conditions, you can apply for exemption from the exam to obtain enterprise data analysis and management certification.