Data Quality
Turn trusted data into better decisions
Manage data quality from a single platform.
Automate controls, detect anomalies, track corrective actions, and maintain full traceability of the data used across business operations, reporting, and regulatory compliance.
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Better data. More confident decisions.
Improve the reliability of the data behind your reporting and compliance. Automate quality controls, track anomalies, and retain the evidence needed to address requirements such as Solvency II, IFRS 17, BCBS 239, and Basel III.
Know which data matters most
Bring your organization's critical data into a single repository.
Structure it by business area, function, or requirement to create a clear, consistent view of the data that matters most.
- Single data repository
- Customizable classification
- Advanced search and filters
Connect data to the requirements behind it
Link each data element to the relevant regulatory requirements, controls, and processes.
Document quality rules, assign clear ownership, and maintain complete traceability for reporting and audits.
- Requirement mapping
- Clear data ownership
- End-to-end traceability
Catch data issues before they become problems
Define controls around your business rules to quickly detect incomplete, inconsistent, or non-compliant data.
Track anomalies, prioritize remediation, and continuously improve the reliability of your information.
- Manual and automated controls
- Anomaly tracking
- Corrective action plans
See where data quality is improving — and where it is not
Track data quality indicators, analyze recurring issues, and identify improvement opportunities through interactive dashboards, automated reporting, and AI-assisted analysis.
- Interactive dashboards
- Automated reporting
- AI-assisted analysis
Turn data quality into an operational advantage
100%
visibility into the quality of your data
- 01
Make decisions with data you can trust
Use controlled, consistent data to produce reliable reports, manage performance, and reduce the risks created by inaccurate information.
- 02
Make regulatory compliance easier to prove
Document controls, retain supporting evidence, and demonstrate the quality of data used for regulatory obligations, audits, and internal controls.
- 03
Spend less time checking data
Automate recurring checks, centralize anomalies, and coordinate remediation so your teams can spend more time on analysis and less on manual work.
- 04
Improve data quality over time
Identify recurring root causes, measure progress, and implement corrective actions to strengthen data reliability over the long term.
Build better data quality in 3 steps
Structure your data quality framework, control critical information, and keep it reliable over time through a collaborative approach.
01
Identify the data that matters
Inventory the data your organization depends on and structure it by business domain.
Connect it to relevant processes, applications, and requirements to create a clear, shared, actionable repository.
02
Detect issues and drive remediation
Define quality rules and run manual or automated controls to detect anomalies quickly.
Assign corrective actions to the right owners and track them through to resolution.
03
Measure quality and keep improving
Track quality indicators, analyze trends, and generate reports to guide ongoing improvement.
Demonstrate data reliability to business teams, auditors, and regulators.
Everything you need to keep data quality under control
From manual checks to scalable data quality management
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Connect data quality to your wider GRC framework
Data quality becomes more valuable when it is connected to risks, controls, audits, and KPIs.
Iskera brings these elements together to keep your data reliable, actionable, and up to date.
A demo that speaks your language, a clear vision as a result
See how Iskera helps you improve data quality, automate controls, meet regulatory requirements, and give teams reliable information for reporting and decision-making.
Latest resources
Frequently asked questions
Data quality software helps organizations control, structure, and improve the reliability of the information they use. It centralizes quality rules, detects anomalies, supports remediation, and maintains complete data traceability.
Iskera centralizes critical data, automates quality controls, tracks anomalies, and coordinates corrective actions. Dashboards also help teams monitor how data quality evolves over time.
Yes. Iskera helps structure and monitor controls linked to requirements such as Solvency II, IFRS 17, BCBS 239, Basel III, and the Data Governance Act. The platform retains evidence, history, and traceability to support audits and reviews.
Pricing depends on factors such as the number of users, modules deployed, functional scope, and your organization's requirements. Contact our team for a tailored demonstration and quote.