Data Gallery
20+ industry analysis cases covering financial risk control, customer insights, text mining, and supply chain optimization.
Let data speak — tell business stories through visualization
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Analysis Cases
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Analysis scenarios across finance, telecom, aviation, and more
Text MiningFacing hundreds of complaint tickets, manual reading and sorting is neither objective nor efficient. Text mining and network topology visualization of complaint keywords help quickly identify root causes and improve customer satisfaction.
Data: Structured and semi-structured customer complaint records, product information, web-scraped data
Tools: Kunlun & word co-occurrence network model, semantic segmentation algorithms
Risk AlertGuarantee companies provide credit enhancement for SME financing, but varying guarantee capacity requires banks to dynamically monitor guarantee scale and post-loan risk to prevent compensation risk.
Data: Guarantee company loan business, guarantee relationship, customer risk monitoring data
Tools: Kunlun & guarantee network risk alert model, GridsearchCV
Risk AlertCorporate clients have extensive transfer relationships reflecting inter-company ties. When one defaults, closely related companies are at risk. Big data mining predicts high-risk clients for proactive monitoring.
Data: Transfer transactions, corporate risk profiles, corporate relationship data
Tools: Kunlun & risk prediction model, LightGBM
Customer AnalyticsHigh-net-worth banking clients are managed by dedicated relationship managers. Management needs to understand churn patterns and predict individual churn propensity for refined client relationship maintenance.
Data: Customer spending, visit records, customer value data
Tools: Kunlun & churn prediction model, PCA, XGBoost
Industry IndexAs tourism demand grows, civil aviation expands rapidly. Analyzing route data across city airports builds a comprehensive transport capacity index for route planning, advertising pricing, and transport expansion.
Data: Aviation route data, aircraft assignment, crew information
Tools: Kunlun & aviation capacity index model, PCA
Marketing RecommendationBanks hold extensive corporate transfer data that reveals potential non-bank clients. Targeting high-potential clients through relationship networks improves response rates and avoids wasted broad marketing.
Data: Customer transfer data, customer value, credit information
Tools: Kunlun & potential prediction model, K-means clustering
Customer AnalyticsTelecom customers generate massive call records with unique calling patterns reflecting social activity and professional habits — enabling customer segmentation and targeted plan recommendations.
Data: Customer call behavior, churn usage data
Tools: Kunlun & DBSCAN clustering model
Marketing RecommendationThe internet era brought viral acquisition where user groups grow like snowballs. Banks need data mining to find quality viral source users for cost-effective customer acquisition.
Data: User attribute data, user relationship data
Tools: Kunlun & community detection model, information diffusion model
User ExperienceE-commerce sites have complex page link structures. Link health directly affects target page traffic — big data analytics monitors page navigation to fix gaps and maximize traffic capture.
Data: User online behavior, page exposure data
Tools: Kunlun & page health assessment model
Text MiningUser experience work analyzes user needs and cognition, where user voice is critical. Product reviews influence purchase decisions — sentiment polarity and intensity mining is essential.
Data: User review data, page exposure data
Tools: Kunlun & BERT-based sentiment analysis model
Marketing RecommendationAdvertising evolves with technology. Promoting through influential bloggers drives fan engagement, reaching more users. Choosing the right bloggers expands acquisition channels and attracts younger customers.
Data: Ad propagation data, user attribute data
Tools: Kunlun & web crawler, community detection model
Risk AlertAs anti-fraud advances, financial fraud shows increasing variability and gang characteristics. Relationship network detection builds borrower knowledge graphs to measure fraud risk from a network perspective.
Data: User relationship data, user credit data
Tools: Kunlun & GCN graph embedding model
Supply ChainLogistics network planning greatly affects supply. Too many warehouses increase costs; too few delay delivery. Data mining helps scientifically plan logistics networks balancing cost and network density.
Data: Logistics warehouse data, user order data
Tools: Kunlun & network node metrics model
Operations AnalyticsOperations teams need periodic trend analysis. Monitoring workload peaks across business segments helps managers make more scientific staffing and role-balancing decisions.
Data: Employee performance, scheduling, attribute data
Tools: Kunlun & Holt-Winters trend analysis model
Marketing RecommendationA bank partnered with third-party institutions, accumulating customer data. Many customers only hold partner products, not bank products — valuable prospects for targeted marketing of quality clients.
Data: Employee attributes, spending data, product attributes
Tools: Kunlun & look-alike audience expansion model
Financial AnalyticsFinancial indicators concisely communicate financial information and activity results. With numerous indicators, a more intuitive presentation helps identify key insights.
Data: Financial data
Tools: Kunlun & K-means clustering model
Marketing RecommendationA bank published a product promotion on Weibo. The marketing team needs to understand diffusion depth and breadth, impact, and key nodes to optimize ad effectiveness for new product launches.
Data: Weibo likes, comments, repost data
Tools: Kunlun & PageRank algorithm
Risk AlertComplex fund flows between companies often correlate with business health. Credit rating and fund flow analysis predict future business conditions, aiding corporate loan approval management.
Data: Fund flow data, business operations, risk information
Tools: Kunlun & multi-dimensional risk assessment model, PageRank
Customer AnalyticsBusiness staff evaluate customer transaction activity through account flows, reflecting loyalty. Big data mining is essential for processing massive transaction volumes.
Data: Transaction frequency, transaction amounts
Tools: Kunlun & multi-classification model, K-means clustering
Risk AlertScam calls are a persistent nuisance. Phone number tagging helps identify callers, but individual tags may be unreliable. Combining fraud detection algorithms with phone tagging provides more effective fraud judgment.
Data: Customer call data, customer attributes, whitelist data
Tools: Kunlun & fraud detection algorithm, LockInfer
Cases spanning finance, telecom, aviation, e-commerce, and more
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