Order Management
- Tradenet
  - Tradenet Equity Trading Platform
Property Management
- PropertyNet
  - PropertyNet Real Estate Management
Data Management
- DNX
  - DNX Data Quality Management Platform
Microservices Management
- iMore
  - iMore DIGITAL TRANSFORMATION PLATFORM

Datability Ninety X leverages an integrated data quality engine with quality management best practice processes to sustain the quality of core data at ninety x percent, all the time, to be used for both operational and reporting needs.

DATABILITY NINETY X ( DNX ), is a robust data quality solution that consists of a software engine combined with a predefined data quality rule book, integrated with processes for quality management as well as quality monitoring dashboards and alerting service that aim to always maintain the quality of your core data at ninety x percent, and make it available for use by both operational and analytical systems, using either direct APIs or data services.

Product features list

Reduce the risk and impact of proliferating incorrect and inaccurate data

Utilize business-driven rules with reusable construction and application across multiple data sources to offer quick time to value

order management

tradent

DE-RISK YOUR DATA QUALITY INITIATIVE

END-TO-END ENTERPRISE-CLASS DATA QUALITY SOLUTION

Datability Ninety X leverages an integrated data quality engine with quality management best practice processes to sustain the quality of core data at ninety x percent, all the time, to be used for both operational and reporting needs.

Reduce the risk and impact of proliferating incorrect and inaccurate data

Utilize business-driven rules with reusable construction and application across multiple data sources to offer quick time to value

Identifying data quality issues before any negative impact takes place

Bring immediate visibility to data quality problems across all your business areas

Increase the trust in your data and provide more confidence to the level of data quality

Automated cleansing will enhance existing customer records resulting in cleaner and more consistent data.

Manage data quality teams efficiently by showing supervisors and managers how their teams are doing at resolving issues.

Optimized operational performance due to the automation of the review process which Eliminates human error risk

TRY SUSTAINING YOUR DATA QUALITY AT HIGH LEVELS