In this interview, senior JD.com project manager Tian Yanyun discusses his most memorable projects, coordination techniques without formal authority, demand decomposition, feasibility assessment, risk control, portfolio benefits, and how to thrive in a volatile, uncertain, complex, and ambiguous environment.
The article shares practical reflections on project management in e‑commerce development, emphasizing the importance of clear requirements, effective communication, realistic scheduling, resource allocation, and proactive risk management to help practitioners improve their project outcomes.
This article discusses quality assurance strategies for virtual businesses, covering layered testing approaches, external decoupling techniques, process simulation, risk prevention, and team building methods to ensure efficient and reliable platform operations.
This article shares practical experiences from building a zero‑to‑one information security management system for enterprises, outlining common security challenges, the role of such systems in risk governance, and detailed implementation approaches including security policies, penalty mechanisms, and management operations to achieve closed‑loop risk mitigation.
This article explains why a quality‑score model was created, reviews industry quality‑measurement practices, describes how key indicators were selected and weighted, outlines the calculation formula, and shares the implementation approach and observed benefits for improving product quality and risk control.
The article reports on Beike Zhaofang's knowledge‑graph technology conference, detailing how relationship graphs are applied to risk control, the four‑layer graph architecture, the use of Spark GraphX, JanusGraph and DGraph, and broader industry‑graph applications in real‑estate AI solutions.
This article outlines comprehensive strategies for test managers, covering daily responsibilities, building and motivating efficient test teams, handling conflicts, time‑critical testing, cross‑department coordination, performance evaluation, risk management, communication with non‑technical stakeholders, QA throughout the software lifecycle, tool selection, process optimization, and emerging testing trends.
AB testing is a statistical method for comparing multiple strategies or versions to determine the most effective one, and this article explains its risks, mitigation measures, advantages, key dimensions, step‑by‑step workflow, fairness considerations, data‑cleaning techniques, target goals, design guidelines, and alternative experimental approaches.
The article examines how Baidu Waimai, positioning itself as a big‑data company, built an intelligent system for database resource optimization and risk management, outlines preventive measures for database reliability, and discusses the rapid growth and challenges of cloud databases.
BytePush introduces a quality assurance platform that automates risk detection, streamlines QA and R&D collaboration through customizable cards, database ORM improvements, and a three‑stage evolution toward intelligent alerts, saving manpower and improving release quality.
This article explains the importance of security testing, outlines where to start, and details a step‑by‑step security testing workflow covering requirement analysis, static code scanning, third‑party component checks, data masking, permission checks, XSS, SQL injection, privilege escalation, file upload/download, server port scanning, and business‑specific test cases.
The article shares a front‑end engineer's journey from consumer‑facing (C‑end) projects to complex B‑end systems, detailing technical stack choices, architecture patterns, risk‑control measures, consolidated management, and user‑experience focus while offering practical insights for developers facing similar transitions.
This article explains how to build a credit scoring card model using logistic regression, detailing the full development workflow—from variable selection and WOE encoding to model training, evaluation metrics like AUC and KS, and deployment considerations for risk management.
The article presents Ping An Bank's AI-driven data platform, covering business background, architectural layers, algorithmic applications such as customer segmentation, portrait, business forecasting, and graph analysis, and shares practical insights on platform design, model deployment, and the role of data product managers.
This article outlines Ctrip's comprehensive business security strategy, detailing four major risk types, three core protection systems—including a unified captcha, a real‑time risk control engine, and a risk data platform—followed by a technology‑driven architecture, new captcha services, and future security directions.
This article explains the concept, structure, and practical strategies of payment routing—including guide routing and transaction routing—using a retail store analogy to illustrate how routing decisions optimize user experience, success rates, and profitability while managing costs and risk.
This article reviews the rapid growth of China’s OTA market, the rise of black‑market threats, and how Ctrip’s security team has iteratively redesigned its risk‑defense architecture—from a .NET‑based real‑time system, through an offline risk‑library, to the integrated Ares platform—highlighting each stage’s strengths, shortcomings, and lessons learned.
The article recounts how a decades‑old, unused code path was unintentionally re‑activated during a rushed deployment of the Retail Liquidity Program, leading Knight Capital to send erroneous orders that caused a $460 million loss and the firm’s bankruptcy.
The article explains how thorough requirement analysis, disciplined daily planning, proactive risk communication, and a strong team project culture enable testers to actively contribute to project success, improve delivery quality, and align product outcomes with business value in fast‑changing mobile‑internet environments.
Amid rapid digital transformation, this article examines the growing importance of cybersecurity insurance for Chinese SMEs, presenting market data, challenges, a three‑layer protection model, and details of a recent industry salon that discussed practical solutions and future pilots.