Proactive Data Quality Assurance

The data profiling functionality automatically analyzes data for patterns and anomalies, pinpointing quality issues and providing insights on data structure, content and relationships.

Each data profile contains detailed information that makes it easy to correct data errors. For example, users can see:

• Degree to which the attributes used in the hierarchy are populated
• Most and least frequently used values for a given attribute, value ranges, used characters, etc.
• Approval and translation statuses of profiled objects
• Degree to which reference types are populated
• Average product completeness

Complete, accurate, consistent data across enterprises is crucial to optimizing workflows and helping processes run smoothly for all parties. Standardization also makes sure that enterprise data maintains regulatory compliance.

Our data cleansing and enrichment automations can be used in bulk or at the time of onboarding. Preset rules and tables standardize, correct and enhance data by removing duplicates, verifying addresses and more.

Built-in capabilities such as AI-powered matching and merging ensure that data quality checks and improvements are applied consistently across all master data domains. External sources like Loqate or Dun & Bradstreet can provide additional information for data validation and enrichment, improving overall quality and completeness of data.

Stibo Systems’ data validation capability will not only continuously check data against defined quality rules but also alert users immediately to any violation.

Reported statistics like the Completeness Score define attribute and reference weights and present you with a tangible data point for each object. Metrics evaluate data and return an integer between 1 and 100, and that number is subsequently used to profile objects and generate data policies.

Sufficiency allows rules and conditions to be custom-set for how the system should evaluate quality and completeness of data. All this information can be visualized through the completeness meter and sufficiency panel, allowing for straightforward analysis.

Expose and extract data from Stibo Systems Platform to support the auditing of workflows and other related data to determine where objects in a workflow are spending most of their time and why conditions fail for objects in a workflow.

From there, data can be analyzed and blended with third-party system information via business intelligence tools. These valuable insights can help identify and enhance processes, as well as improve legal compliance.

The embedded analytics platform, powered by Sisense, provides users with a one-stop analytics solution. It captures, analyzes and visualizes data pulled from Stibo Systems Platform and other external systems like ERP, CRM and sales forecasting systems.