What constitutes ‘sensitive personal data’?
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.
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 The Customer Invoice Item data mart is designed to provide detailed insights into invoice-level transactional data for customers. It organises, validates, and enriches raw data from the source system into a structured and accessible format, enabling comprehensive analysis and reporting. Use Case Owner: Soon Tan Typical Use Case: Style: Fact, Each row represents a unique Invoice … Read more
Purpose The Global Foreign Exchange Rate view provides a structured dataset for analysing currency exchange rates relative to the British Pound (GBP) as the base currency. This view supports financial and operational use cases requiring reliable exchange rate data for reporting and analytics. Use Case Source DataMart Integration There are no DataMart identifiers Sample Exec … Read more
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
Additions Marketing New [Marketing] DataMart is designed to support Customer Acquisition and Campaign Management efforts. It provides a centralised, standardised structure for analysing marketing activities, optimising campaign performance, and understanding customer engagement across multiple channels. 12 standardised views. This structure allows for seamless integration and analysis of marketing performance across platforms (e.g., Advertising, Traffic, Email … 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
Alterations Business Opportunity Reporting with APAC The team are delighted to inform you that the current Opportunities from APAC are now available in PRD and can be reported upon I have crafted a report for your perusalhttps://app.powerbi.com/groups/5875d12b-85b8-434f-a42b-4d473cb8afe0/reports/573c53a0-cb82-4c98-a3c1-7d90c374ad0d/ReportSection?experience=power-bi Notes 1. ⚠️ DIFFERENT: busopp_details_APC.sql2. ⚠️ DIFFERENT: busopp_details_plus.sql3. ⚠️ DIFFERENT: busopp_details_plus_APC.sql4. ⚠️ DIFFERENT: busopp_value.sql5. ⚠️ DIFFERENT: busopp_value_APC.sql Total … 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