TimeXtender Data Quality

Improve the quality of your business data with continuous monitoring, configurable validation rules and automated workflows. Build a trusted foundation for Power BI, Qlik, Microsoft Fabric and AI.

Eric en Ruben

Poor data quality affects more than reporting. It impacts decision making, compliance and the confidence people have in your data.

TimeXtender Data Quality helps you identify issues early, apply business rules automatically and resolve problems before they affect downstream systems. Instead of relying on manual checks, you can build a repeatable process for maintaining high quality data across your organisation.

TimeXtender Data Quality
Monitor

Continuously monitor your data to identify quality issues as they occur, giving you greater visibility into the health of your data.

Validate

Apply configurable validation rules to ensure your data meets the standards and business logic that matter to your organisation

Resolve

Automatically notify the right people when validation fails so issues can be investigated and resolved quickly

Improve

Create a reliable foundation for reporting, analytics and AI by improving the quality and consistency of your data.

Monitor

Monitor your data across systems and detect issues before they affect reporting or analytics.

Validate

Define business rules that validate data quality based on your own requirements.

Resolve

Notify the right users when data quality issues are detected so they can take action quickly.

Data Quality

Manage data quality issues through structured workflows that help improve accountability and resolution.

SQL

Extend validation with SQL and Python for more advanced data quality scenarios.

Audit

Track validation results and maintain visibility into data quality activities across your environment.

Reliable dashboards and AI applications depend on reliable data.

TimeXtender Data Quality helps improve the accuracy and consistency of your business data before it reaches Power BI, Qlik, Microsoft Fabric and other analytics platforms. The result is greater confidence in your reports, analytics and AI driven initiatives.

A short call is usually enough to find out. No preparation needed, just bring your questions.

1.

Monitor

Continuously monitor your data and identify quality issues as they occur
2.

Validate

Apply business rules that verify your data is complete, accurate and consistent.
3.

Resolve

Assign issues to the appropriate people so they can investigate and resolve them efficiently.

Technology is only part of the solution. Defining the right validation rules and integrating them into your data platform is what delivers long term value.

As a TimeXtender partner since 2016, Bitmetric helps organisations implement Data Quality as part of a modern data platform. We help you configure validation rules, improve governance and ensure your business data is ready for reporting, analytics and AI.

Bitmetric Consultants discussing a Qlik dashboard

Timextender Data Quality is a dedicated product for ensuring the accuracy, consistency, and reliability of data throughout its lifecycle. It provides automated data validation, continuous monitoring, real-time alerting, and centralized issue management, allowing organizations to establish and enforce quality standards across all data sources. Timextender Data Quality reduces manual effort, supports regulatory compliance, and ensures that only trusted, high-quality data feeds your analytics, reporting, and AI models.

TimeXtender Data Quality helps identify issues such as missing values, duplicate records, inconsistencies and other validation failures based on your business rules.

Yes. Validation rules can be configured to match your business requirements and extended using SQL or Python where needed.

Timextender Data Quality continuously checks data against predefined business rules and quality standards. The monitoring system automatically identifies discrepancies, inconsistencies, missing values, duplicates, and violations of business logic, all in real time. When an issue is detected, an alert is triggered and assigned directly to the person responsible for that data, enabling fast, accountable resolution before the problem affects downstream reports, dashboards, or AI outputs.

Improved data accuracy and reliability: Continuous monitoring and validation keep data consistent, accurate, and free from errors, improving the reliability of every insight and decision that depends on it.Proactive issue detection: Data quality problems are identified in real time, allowing corrective action before they affect business operations. This reduces the risk associated with acting on flawed data.

Cost reduction: Automated quality controls reduce the cost of manual data cleansing and rework, and lower the risk of costly downstream errors, such as inaccurate billing, reporting failures, or compliance violations.

Increased efficiency: Automated alerts, centralized issue management, and a flexible rule designer let teams resolve issues faster and spend less time on manual quality tasks.

Regulatory compliance: Timextender Data Quality supports compliance with GDPR, HIPAA, and other frameworks by maintaining high data quality standards and providing audit trails for tracking and validation.

Enhanced transparency and accountability: A centralized issue overview and detailed revision logs make all data quality activity transparent, traceable, and delegable, promoting accountability across teams.

AI hallucination prevention: By ensuring only clean, validated data enters your AI and analytics models, Timextender Data Quality reduces the risk of inaccurate or misleading AI outputs, one of the most significant barriers to confident AI adoption.

AI performs best when it has access to reliable, consistent business data. TimeXtender Data Quality helps create a trusted foundation for AI by improving the quality of the data it uses.

I think this is much closer to what Bitmetric would publish. It is practical, concise, and remains faithful to TimeXtender’s messaging without introducing unsupported claims. The next step I’d recommend is making the page follow the same layout and writing style as your Data Enrichment page so the entire TimeXtender section of the Bitmetric website feels consistent.

Timextender Data Quality is designed for fast time-to-value. Data quality controls can be built from templates and deployed immediately, without custom development or lengthy configuration. Organizations can begin monitoring data quality within hours of setup and adapt rules rapidly as business requirements change.

Explore other solutions in TimeXtender’s Holistic Data Suite.

Data Integration Data Enrichment Orchestration
Whether something's still unclear or you're ready to take the next step, Barry and Eric are happy to talk it through. Email us, call us, or book a meeting at a time that works for you.

How can we help?

Whether something’s still unclear or you’re ready to take the next step, Barry and Eric are happy to talk it through. Email us, call us, or book a meeting at a time that works for you.