Has Your Company Also Encountered Such Issues?
Sharp increase in the amount of data make it hard to manage and process
Data from multi-channel marketing activities is messy, with missing key fields
Difficult to unify the management of multi-region and multi-language data
Fail to maintain business information up to date in the system
Unable to effectively identify customers, suppliers or partners
Data is siloed across teams and systems
D&B Master Data Solutions
D&B Master Data Solutions empower businesses to drive growth and manage risks by leveraging a single source of data. Built on the D&B Data Cloud, the solution matches, deduplicates, and updates data, ensuring each company record contains accurate and in-depth business insights alongside hierarchical relationships. As your business grows, it continuously maintains data quality across departments, ensuring accuracy, completeness, timeliness, and global consistency. Our data management solutions help you revolutionize your data strategy to improve revenue and drive performance across your organization.
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Data
Entity Identification and Matching
Accurately locate your customers and suppliers.
Hierarchical Relationship Parsing
Build a complete view of business relationships.
Entity Identification and Matching
Enrich data fields for deeper insights.
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Technology
Cloud-Native Master Data Management
Cloud-native, hybrid, and multi-cloud deployment.
Intelligent Automation
AI and Machine Learning enhance data accuracy and management efficiency.
Data Visualization
Real-time visualization supports data quality decision-making.
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Experts
Matching and Clustering Optimization
Expert consultation optimizes matching results.
Solution Architects
Provide and suggest architectural design.
Data Consultants
Ensure your master data management needs are met.
With D&B's Data Cleansing and Identity Resolution, We Help:
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Assess your sample data quality, and identify high-quality, low-quality, and anomalous data
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Clean inaccurate, outdated, and duplicate data
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Append with high-quality data and business insights
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Profile top customer features and market segments
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Estimate market size and expand target business data
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Obtain contact details for procurement decision-makers
How It Works
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Entity Resolution and Cleansing
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Data Enrichment
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Ongoing Data Quality Enhancement
Match, deduplicate, and update target data using Dun & Bradstreet’s Data Cloud.
Receive updated and complete entity records, such as hierarchies and connections.
Continuously maintain data quality across departments to ensure accuracy, completeness, timeliness, and consistency.
Break Down Data Silos
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Create a Unified View of Business Relationships
D&B's data, AI technology, and experienced data experts help you break down internal data silos, integrate customer and supplier data, and establish a trustworthy unified business view. This optimizes end-to-end processes, enhances visibility in risk management, and enables better business decisions.
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A Single Source of Data
The solution relies on trusted data from the D&B Data Cloud and uses the D-U-N-S® Number as a unique identifier to integrate and provide data and insights to your business ecosystem.
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Establish a Trustworthy View of Business Relationships
Gain a comprehensive understanding of customers and suppliers by creating a view of complex business relationships, including company hierarchies and connections, to prevent disruptive risks.
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Achieve Better Performance
Boost team productivity and efficiency while reducing costs by empowering business workflows with AI and machine learning-driven automation.
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Reduce Time to Access
Quickly validate first-party data with D&B's Data Cloud, reducing time by minimizing manual verification and confirmation tasks.
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Optimize Decision-Making
Enable confident decision-making supported by high-quality, trusted data.
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Reduce Costs
Lowercosts associated with poor data quality through a unified, comprehensive account view, transforming data management from a cost center to a revenue driver.
According to SiriusDecisions, companies that actively maintain their sales and marketing databases see 66% higher revenue conversion compared to those that don’t.
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Successful Data Management Begins With:
Assess current data quality
Standardize data entry processes
Continuously clean and enrich data
Establish standardized data management workflows