TRUSTED BUSINESS DATA
Trusted Business Data is information your organisation can rely on with confidence — supporting better decisions, more efficient operations and reduced business risk.
ZORIDA helps identify the problems undermining that confidence, determine what needs improving and make progress measurable.
ZORIDA BUSINESS DATA FRAMEWORK
The ZORIDA Business Data Framework provides a structured approach to investigating, validating, improving and monitoring business data.
At its core is an iterative cycle of detecting issues, checking data quality, measuring gaps and cleansing data.
Supporting capabilities help build the data required, turn findings into business actions, report progress and transfer knowledge.
The framework is adaptable, with capabilities applied and repeated according to each organisation's needs.
Core Business Data Framework
Every project begins by understanding what your data is actually telling us. We investigate patterns, relationships, exceptions and unexpected results to uncover issues that often remain hidden. Rather than relying on assumptions, we let the data tell the story.
Once potential issues have been identified, we test the quality of your data against business rules and agreed standards. This confirms where your data can be trusted - and where it cannot.
Not every issue requires immediate attention. Data Gaps measures the size and impact of the remaining problems so your business can prioritise improvement activities where they deliver the greatest value.
Data is corrected, standardised and improved through an iterative process. Each improvement reduces risk and increases confidence in the information your business relies on every day.
Supporting Business Data Services
Sometimes the data required for a project doesn't exist. Whether preparing for an SAP migration, Shopify implementation or another business initiative, ZORIDA builds the missing business data — extracting information from available sources, combining business knowledge and creating structured datasets.
Sometimes the data reveals opportunities that extend beyond data quality itself. Better processes, improved system configuration, operational efficiencies and stronger business decisions often emerge from the insights uncovered during the project.
Clear reporting demonstrates progress throughout the project. Stakeholders can see where improvements have been made, what gaps remain, and how overall data quality is improving over time.
Knowledge Transfer ensures your team understands both the data and the processes behind it. The goal is to leave your organisation more capable of maintaining high-quality business data long after the project has finished.