diff --git a/docs/data-platform-manual.md b/docs/data-platform-manual.md
index cc30352..4e2e094 100644
--- a/docs/data-platform-manual.md
+++ b/docs/data-platform-manual.md
@@ -11,7 +11,7 @@ This manual guides data engineers & data analysts (DA/DE) through using Airflow,
   - [Superset](#superset)
   - [Trino](#trino)
   - [Object Storage](#object-storage)
-- [Workflow](#workflow)
+- [Data Flow Diagram](#data-flow-diagram)
 - [Data Pipeline](#data-pipeline)
   - [1. Data Ingestion](#1-data-ingestion)
   - [2. Raw Data Storage](#2-raw-data-storage)
@@ -43,7 +43,7 @@ A distributed **SQL query engine** designed for fast analytics across large data
 
 An **S3-compatible storage provider** (e.g., MinIO) used to store and retrieve unstructured data such as files, logs, and backups. It provides a scalable, API-driven interface for applications to manage data objects, similar to AWS S3.
 
-## Workflow
+## Data Flow Diagram
 
 ```mermaid
 flowchart TB
@@ -179,6 +179,7 @@ This script demonstrates data ingestion & ETL phases.
 
 - `load_excel_to_csv()` - Ingesting data from source excel file, and store raw data as csv in object storage
 - `load_csv_to_trino()` - Extract raw data from csv file, transform it, then load it back to object storage using Trino. Processed data is stored in Trino iceberg format, 'default' schema & 'computer_parts_sales' table.
+- Assuming sample data source `computer-parts-sales.xlsx` has been uploaded to `airflow/excel` folder in target bucket in object storage (configured in Data Platform service settings).
 
 ```python
 from airflow.sdk import DAG, task