Purpose This view combines employee data (DIM_EMPLOYEE_OL) with absence details (QFACT_ABSENCE_DETAILS_OL$) to facilitate the creation of a dataset used for tracking and analysing employee absences in detail. It generates structured JSON data for efficient reporting, compliance, and analytical purposes. Use Case Owner: Luisa WinderTypical Use Case: Style: Fact, Each row represents a unique Employee Absence Seq with … Read more
The Marketing_Campaign_Details_Plus view provides an enriched and detailed representation of campaign metadata, serving as a foundational dataset for analysing and managing marketing campaigns. This view is designed to offer a structured, high-level summary of campaign attributes, ensuring clarity and consistency for reporting and decision-making. Key Features: Use Cases: The Marketing_Campaign_Details_Plus view offers a solid foundation … Read more
Purpose The Business Opportunity Dates view is designed to consolidate and standardise key date attributes related to business opportunities within the organisation. The Business Opportunity Dates view plays a critical role in tracking, analysing, and forecasting opportunity lifecycle events. By consolidating multiple date fields into a single structured dataset, it ensures better visibility, consistency, and … Read more
Purpose The Customer Order view provides a high-level “document header” for customer orders, designed to summarise and contextualise individual order lines within customer orderline views. It includes essential details such as order number, customer information, order dates, and status codes, serving as a consolidated source for tracking and reporting on customer orders. By connecting order-level … Read more
Purpose The Customer Order Status view provides comprehensive insights into the operational state of customer orders. By tracking statuses, user actions, error messages, and lifecycle changes, it enables monitoring and reporting on the order lifecycle. This view is essential for identifying and addressing operational issues or errors that may impact order processing. Use Case Owner: … Read more
Tips: Example Scenario: If you have a JSON column like this: By following these steps, you’ll be able to effectively parse and use JSON data in Power BI for analysis and reporting.
The introduction of the array version of data marts is designed to enhance flexibility and consistency, particularly in managing regional data that may vary in field type and structure. This approach involves grouping related data fields into JSON-like arrays or structures within SQL. Here’s an explanation of its benefits and mechanics: Key Points of the … Read more
Purpose The Project Value fact table is designed to display summarised financial data related to project hours, costs, and revenues. It integrates with dimension tables, such as project_details and client_details, to provide a comprehensive view of the financial performance of each project. The primary purpose is to support project management, strategic decision-making, and financial analysis … Read more
Purpose: The purpose of this DataMart view is to provide a comprehensive timeline overview of a project’s key dates, from its creation to completion. It consolidates important project milestones such as planned and actual start and finish dates, delivery estimates, and project modifications. This view is designed to help stakeholders monitor project timelines, identify delays, … Read more
Purpose: The purpose of this DataMart view is to provide a clear snapshot of an employee’s current and historical employment status within a company. It captures essential details such as employment dates, employment type, and agreement, with a focus on determining whether an employee is currently active or not. This view is useful for HR … Read more