Data Cleaning and Validation for Consistency and Correctness
The Growing Importance of Data Scrubbing in Enterprises
Eliminating Duplicate Drug Records
To promote uniformity and precision, we will remove or delete duplicated drug records from our drug database.
Standardizing and Formatting Drug Records
We will standardize and format all of the names, codes and attributes of drugs between the various drug databases for more efficient analysis, reporting and data aggregation.
Correction of Error and Completion of Missing Field Data
We will identify and correct incorrect drug information and will complete all missing or incomplete attribute fields.
Enrichment and Validation of Drug Regulatory Data
We will add new, useful, up-to-date information to the drug database. In addition, we will validate all drug records against current, applicable regulatory requirements and industry standards
Our Industry

Evaluating and Profiling Data
this step analyses dataset(s) for possible errors, duplicate entries, missing values, or inconsistently recorded data within the dataset(s).

Automated Cleaning and Standardization
Errors in dataset(s) are corrected, duplicate records are deleted, missing data is dealt with, and standardization of the drug name and format occurs at this point.

Enrichment and Validation of Data
Drug data is enriched and either compared against regulatory requirements (and thus validated) or enhanced with current drug information during this step.

Ensuring Quality and Governance of Final Product
During final quality checks, we also confirm that the data has been validated for accuracy, compliance to regulatory standards, and has undergone the required analysis preparation.
1. Expertise in the Pharmaceutical and Healthcare Industries
Our extensive knowledge of these industries allows us to tailor our drug scrubbing to meet your specific requirements.
2. Automated & AI-Enhanced Data Cleaning
We leverage advanced technologies to help us quickly and effectively identify and correct errors, eliminate duplicate records, and standardize all your data.
3. We Clean to Regulatory Compliance
We validate all cleaned data against industry regulations and governance standards.
4. Ensure End-to-End Data Quality
From assessment through enrichment and validation, we provide you with datasets that are accurate, structured, and ready for analysis.
5. Enhance Your Reporting, Research
AI Applications, and Operational Performance through Clean, Trustworthy Drug Data – When you have cleaned and trustworthy drug data, your ability to report, research, create AI applications and operate more effectively improves significantly.
6. Fast & Scalable
Using our methodology, we can scrub large and complex datasets of drug-related information quickly while maintaining a high level of quality.
- Identifies and removes errors, duplicates, and irrelevant entries in drug datasets
- Ensures accurate, consistent, and compliant pharmaceutical data
- Supports reliable analytics, research, reporting, and regulatory submissions
- Automated detection and correction of errors and inconsistencies
- Deduplication and standardization of drug names, codes, and formats
- Enrichment with updated, relevant information and regulatory validation
- Pharmaceutical companies and biotech firms
- Healthcare providers and hospitals
- Clinical research organizations (CROs)
- Regulatory agencies and research labs
- Duplicate or inconsistent drug records
- Missing or incomplete entries
- Incorrect drug names, codes, or dosages
- Outdated or irrelevant information
- Ensures datasets meet industry and government standards
- Validates drug information against approved references
- Reduces risks associated with incorrect or non-compliant data
- Yes, using scalable automated pipelines
- Processes multi-source, high-volume datasets efficiently
- Ensures accuracy, consistency, and compliance for enterprise-scale operations
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