Welcome to the Power BI Telecom Dashboard project! This interactive dashboard is designed to provide you with powerful insights and visualizations based on telecom data, enabling you to analyze LTE performance, network availability, and more. π
In today's dynamic telecom industry, data-driven decisions are crucial. This Power BI Telecom Dashboard empowers you to harness the potential of your data and gain actionable insights. Whether you're a telecom provider, analyst, or enthusiast, this dashboard can help you:
- Visualize LTE network performance πΆ.
- Monitor network availability and uptime β°.
- Analyze the accessibility of 4G VoLTE services π±.
- Explore data trends by location and time πΊοΈ.
The telecom dataset contains a rich set of information related to the telecommunications industry. Here's a more detailed breakdown of the columns:
-
Area: This column specifies the geographical area covered by the telecom data, which may include regions, districts, or service zones.
-
Shared Region: Shared regions refer to areas where multiple telecom providers share the same infrastructure. This column helps identify areas with collaborative network setups.
-
LTE Accessibility: LTE (Long-Term Evolution) accessibility measures the availability and reach of 4G networks, indicating the extent to which users can connect to high-speed mobile internet.
-
LTE Retainability: LTE retainability measures the ability of LTE networks to maintain connections without frequent disconnections or drops.
-
LTE Intra Frequency Handover: This column provides insights into the handover processes within the same LTE frequency band, crucial for seamless connectivity during mobile device movement.
-
LTE Inter Frequency Handover: Inter-frequency handovers involve switching between different LTE frequency bands, allowing devices to maintain network connections even when transitioning between coverage areas.
-
4G VoLTE Accessibility: VoLTE (Voice over LTE) accessibility measures the availability of 4G networks capable of supporting high-quality voice calls.
-
Volte CSSR: VoLTE Call Setup Success Rate (CSSR) indicates the effectiveness of establishing voice calls over LTE networks.
-
Network Availability: Network availability records the uptime and downtime of the telecom network, providing insights into the overall reliability of services.
-
Time Value: This column contains timestamps or time-related data, allowing for temporal analysis and trend identification.
-
Country: The country column specifies the country where the data was collected, helping users categorize and filter data by geographical location.
-
City: City information provides additional granularity, allowing users to drill down into specific urban areas or regions.
-
State: The state or province column offers insights into the administrative divisions within a country, aiding in regional analysis.
-
Postal Code: Postal codes or zip codes help narrow down data to specific postal regions, facilitating detailed geographic analyses.
-
Region: The region column may contain additional information about the telecom service area or a subregion within a city or state.
To get started with this Power BI Telecom Dashboard:
- Clone or download this repository.
- Load your telecom dataset into Power BI.
- Open the
telecom_dashboard.pbix
file.π - Explore the pre-built visuals and customize them to your needs.
- Share your insights and reports with your team.
Here's how our project files are organized:
π¦ Telecom-Dashboard
β£ π Data
β β π telecom_data.xlsx
β£ π SQL-Queries
β β π analysis.sql
β£ π Visualizations
β β π Telecom_dashboard.pbix
β£ π README.md
Explore the provided SQL queries in the Queries file to perform detailed analysis on dataset.
Here's a glimpse of what you can expect in the Power BI Telecom Dashboard:
The Network Performance Analyzer is your handy tool for improving your telecom network. With lots of data and powerful tools, you can learn and use data to make the network better for users.
You can check data, see which states do best and worst, and use our guide to make the network better.Plus, there are SQL queries to dive even deeper into the data.
It's all about making things work better for users!