List: Visualization & Business Intelligence | Curated by Samir Saci | Medium

Sep 17, 2022

7 stories

Visualization & Business Intelligence

Samir Saci
in
Towards Data Science

Road Transportation Network Visualization with Python

Build Visualizations of your FTL Network Performance: deliveries/route, cost per ton and trucks size

Sep 9, 2020

A geographic map displaying a road transportation network in China with nodes connected by lines representing Full Truck Load (FTL) routes. The visualization includes route paths with metrics like delivery count, cost per ton, and truck size generated with Python. The map helps assess performance across different routes and locations. This visualization is useful for optimizing transportation efficiency and cost.

Sep 9, 2020

Samir Saci
in
Towards Data Science

Build Interactive Charts using Flask and D3.js

Design interactive D3.js visualizations for E-Commerce Sales Analytics and Support Business Decisions

May 4, 2021

A flow diagram titled “Build Interactive Charts using Flask and D3.js.” It illustrates the process of creating dynamic, interactive visuals for e-commerce sales analytics. The left side shows an icon labeled “Datasets” with a chart and an arrow pointing to a central box that contains the “JS” and “Python Flask” logos, representing the use of JavaScript for datasets and Python Flask for backend support. The diagram highlights the process of converting raw datasets into interactive visualizations

May 4, 2021

Samir Saci
in
Towards Data Science

Supply Chain Sustainability Reporting with Python

Build a sustainability report focusing on the CO2 emissions of your distribution network using Python.

Dec 3, 2021

The image shows a supply chain sustainability report illustrating CO2 emissions from different transportation methods. A distribution center supplies goods to customers through three routes: (1) via road (120 km), air (1450 km), and road again (700 km); (2) directly by road for 200 km; and (3) through road, sea, and road again. Each mode of transportation highlights the distances, representing the CO2 emissions linked to the transportation network’s sustainability calculated with Python.

Dec 3, 2021

Samir Saci
in
Towards Data Science

Deploy Logistics Operational Dashboards using DataPane

Deploy Reporting Solutions using DataPane to Support Warehousing Logistics Operations for E-Commerce

Jan 21, 2022

Jan 21, 2022

Samir Saci
in
Towards Data Science

Excel Automation Tools for User-Friendly Reports with XlsxWriter

Automate excel report creation with python by writing explicit excel formulas that any Excel user can read.

Aug 16, 2022

A group of three people sitting around a wooden table with laptops. One person is working on a laptop displaying a calendar or scheduling tool in an Excel-like interface. The individual is holding a coffee cup while taking notes. This image illustrates a collaborative working environment where team members are discussing or reviewing data on their laptops.

Aug 16, 2022

Samir Saci
in
Towards Data Science

Animate your Python Graphs with Pillow

Create animated gifs of your plots with the Python library Pillow to bring life to your insights.

Aug 31, 2022

A graph comparing two solutions from a pathfinding algorithm for warehouse picking route designed with Python. Each node is represented by orange and yellow dots, with numbers inside them to indicate the order of the sequence. Dashed lines connect the nodes in both solutions, allowing a visual comparison between the two algorithms and how they traverse through the picking locations.

Aug 31, 2022

Samir Saci
in
Towards Data Science

Automate Operational Reports Distribution in HTML Emails using Python

Automate the distribution of supply chain operational reports with visuals built in HTML emails with Python.

Sep 7, 2022

This diagram outlines the process for automating a weekly operational report creation and email distribution using Python. It begins with data extraction from a Warehouse Management System (WMS) database, continues through SQL queries to extract prepared order lines, followed by Python scripts that calculate key performance indicators (KPIs), and ends with an automated report delivered by email, including visuals created in the HTML report.

Sep 7, 2022

Samir Saci

Samir Saci

Top Supply Chain Analytics Writer — Follow my journey using Data Science for Supply Chain Sustainability 🌳 and Productivity ⌛ https://samirsaci.com/about

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