Dynamic dashboards for informed decision making

Hammad Tariq

(0)

Starting at

/hr

About this service

Summary

Providing an end-to-end dashboarding and data visualization solution for automated reporting and informed decision making

Process

The process involves continues informative and collaborative sessions for seamless process and implementation aligned with end goals. The process may be divided into following phases

Data Source discovery

Data pipeline

Data Warehouse implementation

Dashboarding and Visualization

Monitoring and Maintenance

By the end of the project, you will have a seamlessly integrated data architecture that you can use for

Internal Reporting

Visualizations

Analysis

Model Training

What's included

ETL Pipeline
Build and orchestrate an ETL pipeline to extract data from one or more data sources. The ETL pipeline includes 1. Source Connectivity 2. Workflow orchestration (Airflow, Dagster) 3. Data Transformation 4. Load Data to a destination (Data warehouse)
Data Warehouse Implementation
I will build a data warehouse where the transformed and cleaned data resides and from where we will use the data for reporting and dashboarding Data warehousing tools like Amazon S3, Google Cloud Storage, Azure SQL, Amazon RDS and Azure DynamoDB can be utilized for data warehouse implementation
Data Visualization
Data visualization with 1. Matplotlib (web based, Jupyter Notebook, Google Collab) 2. Power BI 3. Tableaue The dynamic charts and visualizations can be used for reporting, decision making and training of machine learning and AI models

Skills and tools

Data Scientist

Data Visualizer

Data Analyst