Purpose This view brings together customer feedback from multiple sources into a single, consistent structure — helping teams understand satisfaction trends, sentiment, and consent status across the customer journey. It supports unified reporting of Net Promoter Score (NPS), customer comments, and response context (such as project or milestone), giving a clear view of how customers … Read more
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
<Domain.Object_ViewName> Template note: Replace all <placeholders> with your content. Keep sections, even if marked “N/A”, so views stay consistent across the Common Data Standard (CDS). Purpose A concise paragraph stating why this view exists and how it aligns to the CDS item & values table pattern. Mention the primary decision/use it supports. Example prompt: “This … Read more
How to query a CDM view (Power Query / M) Use the datamart domain value as @dataMart and the view name as @viewName. Naming conventions Sales Pipeline Covers all stages of customer acquisition and order-to-cash pipeline. Marketing (marketing) Activities and campaigns to generate awareness and leads. Collection Definition Views Base views Campaigns, channels, lead gen … Read more
📘 Context The CODESSTRING field returned from Oracle contains serialised key-value pairs using non-printing ASCII characters: Example value: ✅ Goal Convert this encoded string into structured columns in Power BI, e.g.: ACCOUNT CODE_B CODE_C CODE_D CODE_E 10201 200 2011072 🛠️ Solution: Power Query Function Step 1: Create the Parsing Function Step 2: Apply the Function … Read more
📝 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 ✅ Use Cases 🧱 Structure Each row in the view corresponds to a … 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