The merge() function in Pandas is a powerful tool for combining two or more dataframes based on one or more keys. It is analogous to the JOIN operation in SQL databases and offers various options to customize the merge behavior. Here’s the basic syntax of the merge() function: pandas.merge(left, right, how=’inner’, on=None, left_on=None, right_on=None, left_index=False, … Read more
Purpose Customer Invoice, provides high-level invoice details primarily focused on essential customer and financial information. It is structured to include invoice metadata, billing details, amounts, and various identifiers. The view originates from multiple snapshots and iterations, with each change tracked meticulously to support functionality and flexibility for different reporting and integration requirements. Use Case Owner: Soon … Read more
Purpose The Customer Order Line view provides essential details for individual order lines within customer orders. It serves as a granular component, detailing each line item’s specifics, such as quantity, pricing, revenue, dates, and relevant codes. Designed to align closely with the Customer Order view, this view enables precise tracking of each line item in … Read more
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Purpose for Live order intake and Pipeline Review Business Opportunity Line Details Use Case Owner: Soon TanTypical Use Case: Live order intake and Pipeline ReviewStyle: Tailored Fact Based on mvw.busopp_details_plus DataMarts CompanyCustomerBusiness Opportunity Source From Where Sample Exec Response SQL
Purpose The Project Forecast fact table is designed to display projected data related to future project performance, including anticipated costs, revenues, timelines, and resource requirements. This table integrates with dimension tables, such as Project_Details, to provide detailed insights into future planning and strategic decision-making. The primary purpose is to support forecasting, budgeting, and proactive project … Read more
Purpose The Common View for Employee Details. It provides dimension attributes essential for data segmentation of Employee data. It is accessible to multiple departments and systems across the organisation. An extension of BusOpp.Details Use Case Owner: Martyn ColeTypical Use Case: It provides dimension attributes essential for data segmentationStyle: Dimension, meaning a single row per Business Opportunity No. Source … Read more
Purpose for Live order intake and Pipeline Review Single row (Summary Header) per Business Opportunity Use Case Owner: Soon TanTypical Use Case: Live order intake and Pipeline ReviewStyle: Tailored Fact Based on mvw.busopp_details_plus Source FROM WHERE src.[STATE] not in (‘Closed’,’Cancelled’) Parameters CompanyCustomerBusiness Opportunity Sample Exec Response SQL
Purpose The Common View for Business Opportunity Details, excluding dates or measures, acts as a unified and reliable source for data on business opportunities. It is accessible to different departments and systems across the organisation. This view supports integration with fact tables for reporting and analysis and provides a limited set of dimension attributes. Use … Read more
Purpose The Business Opportunity (Line) Value fact table is designed to display quantitative data related to individual line items of business opportunities. This table integrates with dimension tables, such as BusOpp.Details and Client/Cutomer_Details, to provide insight into potential revenue, sales pipeline, and opportunity management. The primary purpose is to support sales and business development analysis … Read more