Release 66

This week, we have completed a significant set of updates, with 56 unique datamart view changes aimed at improving quality, modularity, and stabilisation across domains. Below is a summary of the key changes: πŸ› Bug Resolutions and Data Quality Enhancements Customer_ID Bug USD: Missing Fields Corrected in legacy views: Continuing our efforts to rationalise the … Read more

Fabric-Aligned Data Layering Model

Our data architecture follows a structured, layered approach based on the Medallion model. It aligns with Microsoft Fabric principles and best practices, supporting efficient data ingestion, transformation, governance, and reporting. Landing Layer This layer receives raw data files (typically CSV format) from external systems into secure landing zones. Bronze Layer Bronze provides the initial structured … Read more

Release 65

Scope: Updates to Common Data Model (CDM) and project-specific viewsTotal File Changes: 34 πŸ”„ Summary of Key Changes βœ… Stabilised Views for 202409 Reporting These views are now stable and finalised for the 202409 reporting cycle, helping to prevent reuse issues in future CDM deployments. πŸ› οΈ Updated PRUs for Project Views CAD Region Updates: USD … Read more

BusOpp.Codes

πŸ“ Description This view provides a structured metadata representation of Business Opportunities (BusOpp), transforming source data into a JSON-like attribute-value format. It supports consistent reporting and simplifies analytics by organising attributes under clear META_TYPE categories like OPPORTUNITY, STATUS, and SALES. 🎯 Purpose βœ… Use Cases 🧱 Structure Each row in the view corresponds to a … Read more

Release 64

Summary of Changes by View 1. project_details_plus_USD & project_details_plus_CAD Status Logic Updated Project Manager Email Added 2. project_details_plus_CAD & project_details_USD Column Name Adjustment 3. project_details_plus_APC, customer_details_APC, project_details_APC PRU Code Mapping Enhancement 4. global_company & global_company_202409 Expanded Source 5. global_organisation & global_organisation_202409 Same as Above 6. employee_item_codes_absence, employee_item_dates_absence, employee_item_values_absence Minor Logic Refinements 7. dates_DIM_DATE_202409 Performance Optimisation … Read more

CDM Migration Playbook

Purpose This playbook guides the phased migration from existing DataMart views (202409) to CDM-standard views, including core, meta (dates, codes, values), and item tables. It supports the transition to IFS Cloud and ensures a consistent, scalable data model across all domains. MVP Scope Domains required for MVP: Phased Delivery Approach Phase 1: Live Data Seeding … Read more

Release 63

πŸ†• What’s New New Project View (Item 207) Added project_details_plus_APC to complete the set for regional project reporting. Improved Date Views (Items 20–21, 27–30, 204–205) Programme ID Enhancements (Items 206, 208) Integrated clearer programme identification fields from MIS80 into global organisation views, allowing for cross regional identification. πŸ”‚Development/Improvements for cdm Notes The following files were … Read more

Project: Regional Business Opportunity Pipeline Data Integration

Project Description This initiative aims to integrate Business Opportunity Pipeline data from SharePoint Lists and Deltek Vision sources into the central Data Warehouse. The primary objective is to enable consistent, automated global reporting ahead of the GMIS ERP rollout across the APAC, NA, and EU regions. The integration will align with the existing Business Opportunity … Read more

Value Presence Verification (RPV) + Last-Seen Tracking Framework

🎯 Purpose This framework ensures that values in complex metadata structures (e.g. project earned value, invoice accounting, or employee attributes) are verified for presence even when using incremental loads. It protects against stale data persistence or silent value loss, using metadata-driven auditing. 🧩 Problem Context In many CDM views, values are upserted using procedures like … Read more

CDM Value Presence Reconciliation Framework

🎯 Objective To proactively expire or flag metadata rows that are no longer present in the source data even if their values haven’t changed, avoiding persistence of stale or misleading data. 1. πŸ— Recommended Table Extension Add these optional columns to any table using patch_upsert or put_update: 2. πŸ“₯ Staging Input Table – stage.project_values_current Your … Read more