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Data Analytics

Customized modeling to help provide insights into better decision-making

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Business Challenges

High Model Generality

Existing data models are too general to fit enterprises' unique business scenarios. Analysis results are detached from actual business, unable to offer valid decision-making basis.
Poor Data Quality

Enterprise data from diverse sources has problems like missing values, format chaos, errors and duplications. This seriously undermines the accuracy and reliability of data models, reducing data analysis value.
Poor Analysis Timeliness

Traditional analysis methods and tools are slow, failing to meet enterprises' real-time data analysis needs. Enterprises can't react promptly in a rapidly changing market.
Difficult Integration of Multi-Source Data

Enterprise data is scattered across different systems and departments with different formats and standards. It's hard to integrate effectively, hindering the full utilization of data's comprehensive value.

Data Analytics

Data Analytics Solution offers comprehensive and in-depth insights into enterprise data.

By integrating multi-source data and applying advanced analytical algorithms, it generates various scores and models. This helps enterprises assess the credit risks of partners and customers, predict market trends, optimize supply chain management, and develop more targeted business strategies, enhancing their competitiveness in the complex market environment.

What We Can Offer

Customized Modeling

We deeply understand enterprises' business, combining Dun & Bradstreet's data to build models tailored to specific scenarios. This provides accurate analysis results and decision-making basis for model - business integration.
Data Quality Optimization

Using advanced cleaning and verification tech, we optimize enterprise data, remove noise and errors, improve data quality, and ensure model accuracy for solid data analysis.
Efficient Analysis System

By adopting advanced algorithms and tools, we build an efficient platform, boost processing and analysis efficiency, and help enterprises make quick decisions.
Multi-Source Data and System Integration

With professional tech and rich experience, we break data silos, standardize and integrate multi-source data, form a unified view, and fully tap data's comprehensive value for better analysis support.

Customer Stories

HKECIC
Launched the "HKECIC - D&B Export Credit Risk Index" with Hong Kong Export Credit Insurance Corporation to Reduce Export Risk
- Data Analytics
- Customized Solutions
Background

Leveraging data from D&B and HKECIC for cross-analysis, this index covers market indices of Canada, Chinese Mainland, Germany, the United Kingdom, and the United States to assess export risks in Textiles & Clothing, Electronics, and Electrical Appliances.

Challenges

Exporters face risks from geopolitical tensions, trade dynamics, economic uncertainties, and supply chain disruptions.

Solutions & Results

This index facilitates a clear understanding of the global business environment, identifies risks for upcoming seasons in industries and related products, and highlights comparatively riskier counterparties in the market and industry.