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https://github.com/trannhatnguyen2/bi_bokho
Applying Business Intelligence Technology And Automation Processes To Make More Accurate Decisions For Sales Operations
https://github.com/trannhatnguyen2/bi_bokho
datawarehouse power-automate powerbi sql-server ssis
Last synced: 22 days ago
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Applying Business Intelligence Technology And Automation Processes To Make More Accurate Decisions For Sales Operations
- Host: GitHub
- URL: https://github.com/trannhatnguyen2/bi_bokho
- Owner: trannhatnguyen2
- Created: 2023-07-06T04:22:53.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2023-07-07T15:40:00.000Z (over 1 year ago)
- Last Synced: 2024-11-16T11:42:32.622Z (3 months ago)
- Topics: datawarehouse, power-automate, powerbi, sql-server, ssis
- Language: TSQL
- Homepage:
- Size: 38.2 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# [Applying Business Intelligence Technology And Automation Processes To Make More Accurate Decisions For Sales Operations](https://github.com/trannhatnguyen2/BI_BoKho)
## Member of group
### **`BoKho`**
| student_id | class | full_name | role |
| ---------- | ------- | ---------------------- | ------ |
| K204061440 | K20406T | Tran Nhat Nguyen | Leader |
| K204061446 | K20406C | Man Dac Sang | Member |
| K204061411 | K20406T | Nguyen Thai Ngoc Suong | Member |
| K204060310 | K20406C | Thai Thien Truc | Member |
# 📕 Table of contents
- 🛠️ [Requirements](#️-requirements)
- 🧙♂️ [Data Source](#-data-source)
- 🚀 [Solution](#-solution)
- 🧱 [Building Data Warehouse](#-building-data-warehouse)
- 📊 [Result](#️-result)
- 📂 [Files](#-files)
# 🛠️ Requirements
The process of decision-making involves utilizing data and analytical tools to make informed decisions that align with business goals and objectives. This allows organizations to make decisions based on data-driven insights, leading to improved operational efficiency, increased profitability, and a competitive edge in the market. The aim of this project is to develop Business Intelligence for Sales modules that can provide managers with a deeper understanding of the department's features that enhance decision-making.
# 🧙♂️ Data Source
AdventureWorks Database is a sample online transaction processing (OLTP) database provided by Microsoft. The AdventureWorks Database supports a multinational manufacturing company called Adventure Works Cycles. This project will utilize the AdventureWorks Database version 2019 and concentrates on module Sales only.
Data Source: Sales Module
# 🚀 Solution
BI Solution
- Step 1: Load data from On-Premise and On-Cloud into SQL Server Integration Services (SSIS) tool via Ingest Phase
- Step 2: ETL data into the Staging Area with the schema name "Integration", and set up job scheduler to automatically run the package once every hour
- Step 3: ETL data into Data Warehouse with the schema name "DW", and run the package automatically once a day. At the same time, Truncate all data from the Staging Area every month.
- Step 4: divide 2 branches:
> Using Power Automate to automatically refresh data and perform analysis report generation once a day.
> Using SQL Server Analysis Services (SSAS) tool to create cube for analysis
# 🧱 Building Data Warehouse
`Bus Matrix`, `Master Data`, `Transaction Data`, `ETL Mapping`, etc. are deployed to support the data warehouse construction process.
## Data Warehouse model
The diagram below illustrates the fundamental conceptual diagram of the proposed data warehouse in Star format.
Data Warehouse Star Schema
## ETL process
### **ETL Master Pipeline**
ETL Master Pipeline
Based on the pipeline shown above, it is divided into 3 phases:
- Phase 1: Load data from Source --> Staging Area
- Phase 2: Load data from Staging --> Dimension Tables
- Phase 3: Load data from Staging --> Fact Table
### **Phase 1: Staging Area's ETL Process**
Load data from Source --> Staging Area
### **Phase 2: Dimension Table's ETL Process**
Load data from Staging --> Dimension Tables
### **Phase 3: Fact Table's ETL Process**
Load data from Staging --> Fact Table
### **Truncate Tables in Staging Area**
Truncate Tables in Staging Area
### **Job Scheduler**
Schedule jobs configure the step truncate
# 📊 Result
## Data Analytics with SSAS Technology
Data Warehouse Schema (SSAS)
## Incremental Refresh Using Power Automate
The Flow of automated refresh a dataset
## Data analysis with Power BI
### Sales Performance
Sales Performance Dashboard
### Product Analysis
Product Analysis Dashboard
### Delivery Performance
Delivery Performance Dashboard
### Customer Segmentation
Customer Segmentation Dashboard
# 📂 Files
### > **1. Report (both Word and pdf file) -** [Link](https://github.com/trannhatnguyen2/BI_BoKho/blob/main/files/K20406C_BoKho.pdf)
### > **2. Slide -** [Link](https://github.com/trannhatnguyen2/BI_BoKho/blob/main/files/Slide_K20406C_BoKho.pdf)
### > **3. SSIS and SSAS package -** [Link](https://github.com/trannhatnguyen2/BI_BoKho/tree/main/scr/DW_K20406C_BoKho)
### > **4. SQL file query -** [Link](https://github.com/trannhatnguyen2/BI_BoKho/tree/main/scr/SQL_Query)
### > **5. Power BI file (include 4 Dashboard) -** [Link](https://github.com/trannhatnguyen2/BI_BoKho/blob/main/files/Dashboard_BoKho.pbix)
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## ⚠️ Warning
- You must open the empty Power BI file first and then `Ctrl + O` to open the **Dashboard_BoKho.pbix** file to display the map chart.
- If you still can't open, please see the instructions at: [View solution](https://community.powerbi.com/t5/Service/Enable-Map-Visual/td-p/2187937)
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© 2023 BoKho