Embrace Data Quality Control as a fundamental component of your digitalization strategy to unlock the full potential of your data assets.

By implementing Data Quality Control, you can proactively address data quality challenges, ensuring accurate and reliable data throughout your organization. This, in turn, enables you to make informed decisions, improve operational efficiency, enhance customer experiences, and drive successful digital transformation initiatives.

Discovering data quality issues with data rules

Eliminate blind spots in your data by applying rule based data checks

Data-Qleaner leverages carefully curated validation rules for a wide range of master data objects. 

Here are the key benefits you can expect:

  • Applying data rules is seamless and straightforward process
  • Experience highly customizable quality checks to suit your specific needs
  • Unlock the power of AI-driven suggestions for enhanced decision making
Key Data Quality Checks for Fraud Detection

Vendor Master Check

Existence: Verify that the vendor actually exists. Check against legitimate business registries or reputable industry databases. Consistency: Scrutinize vendor addresses, phone numbers, and other contact information for any changes or irregularities.
Duplicate Vendors: Look for multiple vendor records with slight variations in name, address, or tax IDs. Unusual Locations: Be wary of vendors located in high-risk countries or those using P.O. boxes.

We offer multiple types of data quality checks:

Data Profiling

Data profiling plays a crucial role in identifying data issues by providing insights into the characteristics, structure, and quality of the data


  • Data Structure Analysis
  • Data Completeness Assessment
  • Identification of empty data fields
  • Data Pattern Recognition
  • Data Quality Metrics
Compare-Concatenate-Patterns-Dedupe 

Data de-duplication plays a significant role in improving data quality by eliminating duplicate records or entries within a dataset. Simply load your data into the application, apply the duplicate rules, and effortlessly identify duplicates based on your specific business rules.


  • Elimination of Redundancy
  • Enhanced Data Accuracy
  • Find the Data Patterns
  • Compare multiple systems data 
  • Consistent Customer View
  • Cost and Resource Savings
AI-Ruled Data Mapping

AI-based data mapping facilitates seamless integration between two ERP systems. Leveraging artificial intelligence algorithms, it automates the process of mapping data fields and values from one ERP system to another


  • AI-Ruled Data Mapping
  • Data Stats
  • Data Characteristics Reporting
How data validation for IBAN, VAT, Address, Phone number, and Email address can assist companies in adhering to legal regulations;
Anti-Money Laundering: Verifying IBANs reduces the risk of transacting with individuals or entities on sanctions lists or those involved in financial crimes. Fraud Prevention: Correct IBANs prevent payment errors or delays, minimizing potential losses due to inaccurate transactions.
Tax Compliance: In some jurisdictions, validating IBANs can help cross-check tax information and prevent tax fraud.Cross-Border Transactions: Verifying VAT numbers during cross-border transactions ensures tax rules are followed correctly within those specific jurisdictions.
Data Validation

Ensure the integrity of your data with our comprehensive validation solutions. Validate IBAN numbers, telephone numbers, VAT numbers, and addresses with utmost accuracy and efficiency. Trust in our robust validation tools to maintain data integrity and optimize your operations.


  • Address Validation
  • VAT Validation
  • Phone number Validation
  • Email Validation

Begin your journey today

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