Purpose This view supports workforce capability management and planning by providing consistent, up-to-date insight into employee skills, certifications, and team structures. It enables HR, project managers, and business leaders to make better decisions about deployment, development, and compliance. Use Case Suggested dashboard insights: Source Primary Source(s): Load Path SkillsBase API (2FactAuth) → (ADF Pipeline) → … Read more
Purpose Produces attribute‑level metadata for people and skills sourced from skl.people and augmented with IFS person/employment lookups. Attributes include EMAIL, ID, TEAM_ID, ROLE_ID, LOCATION_ID, DOMAIN, and recent assessment dates. The view follows the CDS object + meta_codes pattern: the item is the Employee object and each row represents a single coded attribute/value, normalised for downstream … Read more
🧾 Overview This view provides attribute-level values related to employee absence and leave entitlements, enabling structured DataMart-level analysis across both transactional absence events and annual entitlement summaries. 📚 Description The Employee Item Codes Absence view translates raw absence and entitlement data into attribute-coded rows that support dimensional modelling. Each row identifies: 🏗️ Source Tables 📦 … Read more
Purpose This view is part of the Common Data Standard, following an item and codes style table structure, ensuring consistency in data modelling across financial and operational datasets.The Employee Item Codes Expense view provides structured details on the various codes associated with employee expense items. It captures key attributes such as expense type, cost centre, … Read more
Purpose This view is part of the Common Data Standard, following an item and values style table structure, ensuring consistency in data modelling across financial and operational datasets.The Employee Item Value Expense view provides detailed information about individual expense items attributed to employees. It captures various expense attributes, including expense type, gross pay amount, and … Read more
In its most basic definition, sensitive data is a specific set of “special categories”: Article 9 of the GDPR prohibits special category data from being processed unless you can rely on an exemption.
Purpose This view creates a structured dataset for tracking and analysing employee absence limits. It links employee details (DIM_EMPLOYEE_OL) with their corresponding absence limit information (QFACT_ABSENCE_LIMIT_OVERVI_OL$), presenting the data in JSON format for improved integration and usability. Use Case Owner: Luisa WinderTypical Use Case: Style: Fact, Each row represents a unique Employee Limit Seq with … Read more
Purpose This view combines employee data (DIM_EMPLOYEE_OL) with absence details (QFACT_ABSENCE_DETAILS_OL$) 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
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