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Date Validation and Cleaning
Statswork guarantees clean, accurate and consistent data across domains — validating, standardizing and correcting errors for financial, clinical, operational, marketing, and more.
A recent study shows that organizations that utilize data that is clean and validated can make accurate decisions significantly more rapidly and maintain a competitive edge. Data that is deemed reliable enables more agility in strategy, less risk, and can enhance both strategic planning and operational success. As such, data validation and cleaning processes become a necessity, as a path to ensure accuracy, consistency, and compliance—ultimately enabling the customer, organization, or developer to draw powerful insights from their data, ultimately facilitating business success.
The Problem: Why Not Having Data Validation and Data Cleaning will Hurt Your Organization
Unvalidated data gives you incorrect insights which ultimately
leads to poor decision making and regulatory liabilities – especially in the healthcare, BFSI and telecom sectors. There are a multitude of examples, but a few of the major challenges include duplicates, null values, stale records and, of course, reliance on manual processes that ultimately introduce human error. When organizations overlook or skip data validation, they increase the risk of non-compliance, inefficiency, and missed opportunities.
Our data validation and cleaning outsourcing services are provided with the same risks and responsibilities as your firm through the establishment of a long-term strategic partnership aligned with your broader business objectives. We have worked for years with many organizations ensuring their data is accurate, consistent, and ready for data analysis and removing the barriers imposed by poor data quality. While many firms have a great deal of operational data, the large amount of data is not valuable when it has errors or inconsistencies and there is no knowledge or expertise on how to convert it into valuable information to improve operational effectiveness. Our flexible service models and deep subject matter expertise provide a measurable improvement in data quality, effectiveness in operations and compliance – resulting in better decision-making and cost savings!
How We Automate, Validate & Govern Data to Achieve Accurate and Reliable Data
At Statswork, we use a wide range of modern technology tools to support automating data validation and cleaning, enhancing quality, and for compliance in industries such as healthcare, BFSI, telecom, and education. Each of these technology solutions provides the tools necessary to deliver data in a consistent, correct, and audit-ready way to suit your organization needs.
Open Refine
An open-source tool designed for cleaning messy data, flexibly identifying duplicates, and changing data formats or structures.
Data Cleaner
Profiling, validation, and cleansing based on your own business rules for structured data.
Trifacta (now part of Alteryx)
Intelligent data transformation platform with profiling functions, detection or evaluation of errors, and correction of data.
Ataccama ONE
An all-in-one data quality, and governance platform that includes comprehensive data validation and cleansing features that utilize AI or Machine Learning.
Microsoft Power Query
Provides Excel and Power BI users with a tool to transform, filter, and clean data.
TIBCO Clarity
Provides extensive data profiling capabilities along with intuitive data standardization and validation functionality.
Our Services—Data Validation and Cleaning Services
Our Data Validation and Cleaning Services facilitate accurate, consistent, and compliant data—that allows organizations to trust their data for mission-critical decisions across platforms and systems.
Data Cleaning
is finding and correcting mistakes and bad data, to have quality data and integrity.
Data Scrubbing
Applies rules and logic to detect and fix data errors, improving overall accuracy.
Data Verification
Confirms the validity and authenticity of data against trusted sources.
Auditing Data Integrity
Evaluates the accuracy, consistency, and reliability of data to ensure it remains trustworthy and compliant throughout its lifecycle.
Our Industries
Data Validation and Cleaning that is Scalable, aligned to the Domain to Eliminate Data Issues that Affect Real-World Connection
Statswork provides specialized Data Validation and Cleaning Services that help to address the unique data quality, compliance, and integration challenges in the various industries we work in. We leverage automation, domain knowledge, and validation frameworks to give you clean, consistent, and analysis-ready data—catered to real-world requirements.
At Statswork, we merge intelligent automation with expert-led validation to deliver accurate, consistent, and compliant data validation and cleaning services. From healthcare to finance and research, we transform messy, duplicate, and unreliable data into clean, trusted, and analytics-ready assets.
Expert data quality checks (3+ domain SMEs per project)
Rapid, scalable validation and cleaning workflows
End-to-end secure data handling under NDA
Reliable compliance and governance across systems and standards
- Data Collection & Screening: We collect data from multiple sources and assess it for completeness and consistency.
- Set Validation Objectives: Define goals and establish rules for compliance, analytics, or migration needs.
- Metadata Standardization: Align schemas and definitions to unify data across systems.
- Automated Cleaning: Use AI tools to fix errors, remove duplicates, and apply quality rules.
- Human Validation: Experts verify sensitive data for accuracy and compliance.
- Integration & Delivery: Deliver clean, validated data to operational or analytics platforms via automated pipelines.
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