Data Quality related challenges
Completness: is all required data available, populated, and not missing- Timeliness: is data up-to-date and available when needed
- Validity: conformity to defined formats, rules, or business constraints
- Uniqueness: no redundant or repeated entries representing the same real-world entity
- Accuracy: how close the stored data values are to the true, verified, or accepted values
- Consistency: the same piece of information has the same value wherever it appears
Comping solution - Data profiling and integration
Data profiling - to understand structure and typology through various analysis and indicators
Standardization, Consolidation - Convert, format, validate, enrich, mask, match, deduplicate
Monitoring - measure, analyse, control and improve
Operationalization - Collaborate, leverage business knowledge and industrialize it by IT
Data Governance related challenges
- Discoverability: readily available technical metadata, lineage information, and a business glossary
- Security: regulatory compliance, management of sensitive data (personally identifiable information)
- Accountability: conformity to defined formats, rules, or business constraints
Comping solution - Data catalogue
Metadata Management - Stores and indexes technical details about data (location, schema, descriptions, lineage) across multiple systems.
Data discovery - Lets users find, evaluate, and request access to existing data
Compliance and Governance support - Links data to business and governance metadata (ownership, sensitivity, quality, classification).
Why DIQG (data integration, quality and governance) platform with Comping?
„Qlik Talend supports a vast range of data sources and targets. It offers robust data preparation and governance capabilities, and also provides support for bulk/batch data movement and data replication.”
„Qlik has demonstrated its technology innovation in the DQ area to support AI use cases.” (Gartner)
Data integration, quality and governance platform has been implemented by Comping as a foundation of the multi-tenant, scalable and highly available on-prem data platform in the government sector. This includes the deployment of the Talend Data Management Platform and Qlik Talend Data Catalog.
Improved regulatory compliance.
Quantifiable client benefits (Forrester)
- Increased revenue (where applicable)
- Reduced likelihood of data breaches
- Enhanced system performance
- Development time savings
Qlik does not require its customers to move to the cloud and will continue to support on-premise and hybrid deployments.
Quantifiable client benefits
Increased revenue
Talend enables development resources to more quickly and securely deliver more value to the business. This value can span top-line improvements from new revenue streams, better customer experiences, and budget optimization opportunities across technology spending and operating expenses.
Development time savings
Automated workflows, frameworks and best practice support enable development resources - spanning developers, data engineers, DevOps, and quality assurance (QA) - to spend less time on administrative tasks to deliver value more quickly to the business.
Reduced likelihood of a data breach
Reduced the likelihood of a data breach, resulting in avoided costs for impact and fewer productivity interruptions for employees. Talend provides more transparency into data quality and governance as well as functionality to improve security postures that reduce the likelihood of a security breach by 5%.
Improved system performance
Talend improves system performance despite higher data processing and analysis volumes. As a result, costs associated with downtime and support, including time spent re-creating and problem-solving incidents, are mitigated.
