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Case Study
Data Research, Cleansing & Validation for an Indian Company
Data Research, Cleansing & Validation for an Indian Company
"Eminenture's deep research, deduplication, validation, and cleansing approach transformed the client’s data. The beneficiary company leveraged the accuracy and uniqueness of outsourced workflows and results that powered confident pricing and market intelligence decisions at scale."
A leading travel and hospitality technology company from India was in need of an experienced outsourcing partner to do comprehensive data research, cleansing, and validation while maintaining the accuracy and uniqueness of its large-scale data. It wanted to use that data for pricing intelligence and market analysis. The project involved identifying and eliminating duplicate records, validating data against authoritative sources, and applying cross-checking protocols to ensure data integrity at scale. We deployed an Excel-based, human-driven quality assessment workflow to deliver 100K+ validated records at 99% accuracy and on-time delivery, empowering the company with clean & reliable data.
Challenges
The project involved multiple operational and quality challenges that needed a structured strategy to deduplicate, verify, and validate the client’s data.
- Ensuring consistent data accuracy across 100K+ records from diverse research sources
- Identifying and eliminating duplicate entries that degraded data quality and uniqueness
- Verifying data completeness and correctness against authoritative reference sources
- Managing large-volume data cleansing without impacting turnaround timelines
- Maintaining consistent data formatting and field structure across all validated records
- Resolving data conflicts and inconsistencies arising from multiple input sources
- Delivering a clean, validated dataset ready for pricing intelligence and market analysis
Solutions Provided
Our qualified experts implemented a systematic workflow tailored for data research, cleansing, and validation to deliver accurate, unique, and reliable data at scale this way:
- Conducted comprehensive data research and record collection from relevant market sources
- Devised and applied a systematic deduplication method to remove all redundant records
- Executed thorough cross-checking to validate data accuracy across all fields
- Verified data completeness and correctness against authoritative reference sources
- Standardised all records with consistent formatting and field structures
- Used quality checks at every critical stage of cleansing and validation
- Delivered 100K+ clean, validated, and uniquely structured records on time
Process Used
We followed a smart process to streamline structured data research, cleansing, and validation methods systematically so data accuracy could be improved by eliminating duplicates and other errors:
- Started with identifying data sources and planned the scope for research
- Recorded collection and initialized data organisation
- Identified errors like duplicate records through systematic reviews
- Cross-checked for accuracy, completeness, and field consistency
- Validated data against authoritative source references
- Standardized formatting and aligned data structure
- Employed human QAs for final reviews and comprehensive quality delivery
- On-time delivery of clean, validated Excel datasets
Result
Once the data passed through multiple steps of verification and validation, the project was timely delivered with out-of-the-box quality and consistent precision. The client cheered these outcomes:
- 100K+ data records successfully researched, cleansed, and validated
- 99% accuracy maintained throughout the entire data processing and validation workflow
- On-time TAT achieved across all project delivery milestones
- All duplicate records identified and removed, ensuring full dataset uniqueness
- Validated records delivered with complete confidence in accuracy and reliability
- A clean, structured dataset enabled faster and more confident pricing and market decisions
- Scalable workflow established for ongoing data cleansing and validation requirements
Client Benefits
The results ultimately surprised the client, who appreciated the data transformation we did while adding values:
- Full confidence in the accuracy and uniqueness of research and market intelligence data
- Significant cost optimisation through elimination of duplicate records and data redundancy
- Reliable, clean dataset empowering faster and more confident business decisions
- Standardised data records simplifying downstream analysis and reporting workflows
- Scalable cleansing and validation framework adaptable to growing data volumes
Tools & Techniques
Human effort accelerated and results multiplied because of innovative and smart tools and techniques working with our data specialists:
- Microsoft Excel for structured data management, cleansing, and validated delivery
- Quality analysts checked for rigorous cross-checking, deduplication, and validation assurance
- Systematic deduplication protocols for duplicate record identification and removal
- Data validation frameworks for completeness and accuracy verification at scale
Presenting Performance with Facts
Figures to Measure the Accelerating Rate of Improvement
100
K+Data Delivered
0
%Accuracy
0
%TAT Compliance
1:1
AI+Human
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