2025 is known as the "first year of AI", and AI is inseparable from data. Ding Lei, the founder of NetEase, pointed out in the book AI Thinking: Alchemy to Create Value from Data: Simply put, AI thinking is a thinking model that forms a model from a large amount of data and then makes the best predictions for unknown situations. The basis of AI thinking lies in data, and AI thinking and big data are born together.

"The illiterate of the future is not the illiterate, but the one who can't talk to data." Management scholar John Nesbitt's warning 40 years ago is becoming a cruel reality in 2025. The IDC Data Age 2025 report predicts that the total global data volume will reach 175ZB in 2025 (equivalent to 6.7GB per person per day), but the effective utilization rate of enterprise data is only 0.5%, and inefficient data utilization leads to trillion-level opportunity losses. In this civilization leap, the CDA (Certified Data Analyst) data analyst certification system responded to the national strategic call in the "Key Points for Improving National Digital Literacy and Skills", upgrading digital literacy from "technical ability" to "national survival skills" to help individuals Enterprises should learn to dialogue with data in the AI era and consolidate the foundation of human resources for the AI era.

The CDA certificate is favored by the workplace and has become a promotion artifact.

Digital literacy has become a "national survival skill". As an ordinary worker, you should see this national strategy as soon as possible and be active. When searching for "the top ten most worthy certificates for working people in 2025" in deepseek, the CDA data analyst certificate topped the list and was considered one of the most recognized certificates in the data field. According to industry statistics, the production efficiency of the enterprises in which the CDA license team is located has increased by an average of 22-76% (deparing on industry differences), and the loss of decision-making errors has been reduced by 41-58%. According to public documents, Deloitte, China Unicom and other enterprises listed CDA as a priority for recruitment, and Suning provided full reimbursement for employee certification. In addition, the starting salary of CDA holders in the field of financial technology is 15K+, which is 30% higher than that of those without certificates in the same position.

The CDA Data Science Research Institute's many years of research data and its certification training cases show that data analysis ability has now become a necessary skill in the workplace. Over the past ten years, CDA data analyst training has helped more than 100,000 multi-position license holders achieve career leaps. In his case, for example, after Zhao Jinmei, a textile worker in Foshan, passed the first level of CDA, transformed into an intelligent factory production data analyst, improved the abnormal response speed through real-time monitoring system, and his monthly salary increased by 90%.

It can be seen that the CDA data analyst certificate was first recommended by deepseek based on a large number of facts, which can be said to be objective and fair. Therefore, for people in the workplace, CDA is indeed an artifact of workplace competition and career advancement.

CDA data experts help enterprises make intelligent decisions

Not only in the workplace, but also in the AI era, data literacy has become a basic survival skill that everyone needs to master. It is more important for entrepreneurs and entrepreneurs. No matter who it is, if he leaves data analysis to talk about the market and makes decisions based on experience alone, there will be great hidden dangers in his products, projects or business strategies; and if he does not understand the data and misread the data, it will lead to serious consequences. According to a study by the CDA Data Science Research Institute, in 2025, global enterprises lost 1.8 trillion US dollars a year due to data misreading, and 72% of entrepreneurs admitted that they lacked confidence in decision-making before complex data. It can be seen that data literacy and data ability have become the core competitive factors for the survival and development of entrepreneurs and entrepreneurs today.

Guo Wei, chairman of Shenzhou Digital, pointed out that the enterprise value evaluation standards in the AI era have shifted from "fixed assets" to "scale and quality of data assets". Shenzhou Digital transforms business data into strategic assets by building an "AI-driven digital cloud integration" architecture, and the internally deployed AI intelligent body improves the efficiency of bidding and stamping by 90%.

The use of data thinking can also help enterprise managers go from empiricism to precise operation. For example, Yuanqi Forest disassembles the annual data review into "52-week high-frequency analysis", and locks the direction of beverage taste improvement through user behavior data, increasing monthly sales by 2 million bottles.

It can be seen from the above examples that data literacy has been upgraded from technical options to "survival needs". As Andreas Weigend, the "father of big data", said, "Data literacy is the basic right of citizens in the 21st century." For entrepreneurs, data capability is not only a shield to avoid risks, but also a sharp blade to pierce the red sea of the market. The CDA data analysis ability can give them three core competencies: first, the right to ask questions (what should be measured); second, the right to verify (how to judge the authenticity); third, the right to veto (when to reject errors). As a "data empowerment expert", the CDA data analyst certification system will help enterprises make intelligent and correct decisions through the above "three empowerments".

Through the following cases, we can see the "revolution", "rebirth" and "justice" brought by "CDA empowerment" to enterprises:

First, risk control revolution. A commercial bank introduced the data cleaning and logical regression model in the CDA first-level textbooks, integrating data from 107 dimensions such as social media and e-commerce consumption to build a credit evaluation system, which reduced the non-performing loan rate by 40%. When its peers were in a deep debt crisis, the bank expanded its customers against the trend with precise risk control.

Second, the retail rebirth password. Through the disassembly of the user behavior path, CDA data analysts found that the try-on rate of a popular shoe reached 38% but the conversion rate was only 5%. Later, the funnel analysis model using CDA secondary data analysis skills locked the knot, and the sales volume surged by 2 million pairs in a single month.

Third, the algorithmic justice of instant distribution. A takeaway engineer used "CDA third-level agile data mining technology" to optimize the rider's order distribution strategy. This "insignificant" optimization increased the monthly income of tens of thousands of riders. It deeply reflects the "justiceness of data algorithms" that not only riders but also everyone expects.

These outstanding achievements are inseparable from the more than ten years of market practice of the CDA Data Science Research Institute. It is gratifying that in 2025, its CDA certification system will be fully upgraded. The new textbooks and curriculum system closely follow the needs of the times of "Learning to dialogue with Data in the AI Era". With the goal of "everyone is a data analyst", from the basic principles of data to AI, trainees can fully master digital high-dimensional data thinking. , realize innovative breakthroughs from data analysis tool skills to AI data literacy and methods.

In April 2025, the Central Cyberspace Information Office and other four departments jointly issued the "Key Points for Improving National Digital Literacy and Skills", which integrated the improvement of data capabilities into the core of the national human resources strategy for the first time. Driven by the national policy, CDA data analyst certification will become a ruler of talent ability in the AI era, and data thinking ability will change from elite skills to the "base" of national competitiveness.