Data Cleaning and Validation for Consistency and Correctness

We assist organizations with their efforts to produce reliable information, enhance their analytical and report creation abilities, minimize incorrect information in their operations, and make quicker, better-informed decision-making based on data by all departments.

The Growing Importance of Data Scrubbing in Enterprises

Data scrubbing is a growing necessity for almost every business as it helps organizations maintain accurate, reliable, and consistent datasets, while also eliminating duplicate entries, mistakes in the data, and unwarranted information. Organizations need to have structured datasets to easily analyze and report on them.
From financial institutions, healthcare providers, retail establishments, and many other industries, organizations are facing the same problems associated with their datasets – inconsistent formats, missing values, and manually-created errors.
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When these problems exist, analytics produced from these datasets will be less reliable than they would otherwise be, and the efficiency of those organizations will be negatively affected. Statswork offers data scrubbing services that provide automated deduplication, normalization, correction of errors, and enrichment of data.
The services provided by Statswork will produce “clean” datasets, which are ready for analysis and reporting so that organizations can make the most informed decisions possible and have confidence in their analysis and data-driven decisions.
How we help

Our Industry

Statswork offers drug scrubbing services for pharma, biotech, healthcare, and CROs, ensuring clean, accurate, and compliant drug data for reliable analytics and reporting.
The Drug Scrubbing Methodology of Statswork involves
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Evaluating and Profiling Data

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

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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.

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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.

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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.

Choosing Statswork for Drug Scrubbing
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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.

Success Stories
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