Restaurant Franchise Data Catalog

D3Clarity successfully designed, developed, and deployed the data catalog in 14 weeks, thus transforming IPC’s data management practices.  Key milestones included:

Assessment of Needs & Definition: 

D3Clarity initiated the project by conducting interactive workshops with IPC’s key stakeholders. These workshops served as a crucial foundation for understanding IPC’s data ecosystem. Key terms, environmental constraints, data challenges, and unique requirements were identified during this phase. Additionally, initial metadata was collected, profiled, and validated to gain a comprehensive understanding of IPC’s data landscape.

Project Planning: 

D3Clarity adopted an agile methodology to plan the project, ensuring a tailored roadmap for seamless execution. This approach provided transparency and progress tracking at every stage, allowing IPC to stay engaged and informed throughout the project’s lifecycle.

Design & Configuration: 

A critical step in the project was the creation of a comprehensive data model tailored to meet IPC’s metadata requirements. D3Clarity configured migration features to import initial metadata from prepared Excel spreadsheets, facilitating the enhancement of the data platform’s metadata. Notably, the project segregated IT and Business data steward roles to streamline workflows based on the type of data request.

Key achievements included:

• Design of a flexible data model that lays the foundation for a data catalog that can be used with any object within IPC’s management domain.
• Implementation of initial Data Governance Workflows to manage requests for objects.
• Establishment of a data dictionary for standardized terminology and definitions.
• Data standards were implemented, thus enabling a data governance framework from which other initiatives can draw from.

Integration: 

To ensure the data catalog remained synchronized with IPC’s existing data warehouse platform within AWS, D3Clarity integrated the catalog system seamlessly. Real-time transactions from AWS kept the catalog up-to-date, while the data catalog continuously polled S3 inputs for updates on data metrics, time sequences, and error rules. This information was then reflected as metadata for the relevant data catalog objects, enabling data stewards to make informed decisions.

Testing: 

D3Clarity placed a strong emphasis on testing to ensure the functionality of the data catalog. Rigorous testing cycles were conducted, and feedback loops were established with stakeholders to identify and proactively manage any functionality issues. This approach ensured the catalog’s reliability and performance met IPC’s high standards.

Solution Deployment: 

The deployment phase was executed with discipline and transparency, thanks to a structured weekly sprint cycle. This approach allowed IPC to witness tangible progress regularly and provided an opportunity for real-time adjustments as needed. It ensured that the solution was deployed efficiently and effectively, with minimal disruption to ongoing operations.