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Case Study
PDF Conversion & Cleansing
Optimizing Processes for a US-Based Client Seeking Enhanced Data Quality
“Navigating Data from Complexity to Clarity”
PDF conversion was not as simple as it is today. Previously, it required skilled experts to manually copy and paste data, leading to a significant strain on resources. Navigating the complexity of converting data from image files and optimizing it within spreadsheets was a challenging task. Our team meticulously prepared automated tools under enterprise PDF digitization solutions. With a customized pre-check system and verification tools, real-time data cleansing became our primary strength. We introduced smart solutions and integrated advanced tools to ensure flawless results, preventing rework and ensuring faster turnaround times (TAT).
Challenges
Spending valuable time on duplicates and navigating language barriers caused significant headaches. These issues worsened the process and hampered the workflow in several ways:
- Duplicate files slowed the workflow and added redundant work.
- Handling repeats and corrections consumed precious time and resources.
- Language constraints blocked the scope for effective data analysis.
- Client reviews and clarifications extended timelines unnecessarily.
Solution Provided
We developed tried-and-tested OCR solutions to overcome these challenges. These methods blended cutting-edge tools with human expertise to mitigate risks:
- Tallied files, de-duplicated data & prevented errors upfront.
- Validation of files sped up turnaround and processing.
- DeepL, combined with manual reviews, ensured linguistic accuracy.
- Live query tracking was built for future reference.
Process Used
This project was a true test of our data-hygiene skills. We encountered digitalization, without a streamlined process, which was merely a messy pile of data. To resolve this problem, we defined a clear data-scrubbing workflow this way:
- Batch-wise PDF collection from the client’s portal.
- Initial review to log data in Excel.
- Duplicate replacement with unique files.
- In-depth accuracy checks for every file.
- How to put digitized data into clean spreadsheets.
- Foreign text translation via DeepL followed by a manual review.
- Rigorous quality checks for flawless data.
- Updating a master reference sheet with new guidelines.
- Ensuring an error-free and secure delivery process.
Result
Defining the various steps for cleansing, organizing, authenticating, and de-duplicating data was like running a marathon, but the outcomes were well worth the effort:
- The client received error-free data.
- Our focus shifted from fixing data to performing analysis.
- Batch processing of digitized data became significantly faster.
- We established a future-ready process prepared for scalable data.
- The master reference spreadsheet eliminated rework on duplicates.
- Real-time queries and frequent reviews strengthened our collaboration.
Benefits
The project provided significant leverage for our client. Key outcomes included substantial improvements in processing time and overall productivity:
- Fast-tracked progress with duplicate rework eliminated.
- Focus shifted from fixing errors to higher-level analysis.
- High accuracy resulted in clean, reliable spreadsheet data.
- On-time and accurate delivery built long-term trust.
- Foreign languages were translated into precise, usable data.
- Streamlined workflow with a master reference sheet for future demand.
Presenting Performance with Facts
Figures to Measure the Accelerating Rate of Improvement
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%Duplication
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%Accuracy Rate
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%TAT
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%Real-time Efficiency
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