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10 Best Fresno Mobile App Development Companies for 2023

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10 Best Mobile App Development Companies in NY for 2023 Mobile ApplicationSoftware Development

10 Best Mobile App Development Companies in NY for 2023

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10 Best App Development Companies in Philadelphia for 2023

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20 Benefits of AWS for Businesses and 3 Drawbacks 2023

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10 Best App Development Companies in Chicago for 2023

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10 Best Mobile App Development Companies in San Francisco for 2023

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15 Best App Development Companies in San Antonio for 2023 Blog

15 Best App Development Companies in San Antonio for 2023

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Salesforce Lead Management
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10 Best App Development Companies in Los Angeles for 2023
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Enhancing Data Record Accuracy in Emerging Markets

Dun & Bradstreet’s South Asia Middle East Africa division faced challenges with accuracy in 25 million data records across diverse languages like Arabic and French.
This study details the technical approach taken to effectively address these issues.

Challenge:

Improving data accuracy across multilingual datasets while minimizing manual effort presented significant technical hurdles.

Solution:

1. Evaluating & Selecting Language Models:
– Compared Large Language Models (LLMs) such as Gemini and OpenAI for parsing accuracy, speed, cost efficiency, translation quality, and scalability.

2. Implementing and Optimizing the Data Pipeline:
– Developed a robust data pipeline using Python on a Google Notebook.
– Utilized advanced techniques like prompt engineering to refine data processing workflows.

Data Processing Activities:

– Data Transformation: Systematically normalized, standardized, and corrected data records.
– Data Enrichment: Enhanced data with additional relevant information.
– Validation: Automated validation flags to enhance data reliability.
– Translation: Applied advanced translation algorithms for non-English data.
– Geographical Focus: Initially focused on Pakistan, expanding to other regions.
– Cost Efficiency: Managed processing costs effectively via tokenization (at approximately $200 per 1 million entries).

Outcome:

Through meticulous technical implementation, Dun & Bradstreet significantly enhanced data record accuracy and operational efficiency, leveraging prompt engineering and innovative approaches to deliver reliable insights for informed decision-making in emerging markets.