---
title: Basking data sources
description: What are the different data sources Basking can use to give you better insights?
---

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# Basking data sources

## What are the different data sources Basking can use to give you better insights?

This is a detailed comparison of various data sources used for workspace analytics.   
The data sources include Badge, Sensor and Wi-Fi.   
Each data source offers distinct advantages and trade-offs in terms of accuracy, scalability, cost, and privacy concerns.

Basking recommends using Wi-Fi integration as it is the easiest to setup, easy to scale and has the lowest cost as it uses the existing infrastructure.  
Below is an in-depth look at each type:

**Badge**

- **Accuracy**: Badges provide moderate accuracy. They offer a reliable way to track the entry and exit of employees but may not give detailed insights into their precise locations within the workspace.  
- **Scalability**: When it comes to scalability, badge systems are moderate. They are relatively easy to implement across small to medium-sized workspaces but may require significant infrastructure for larger areas.  
- **Cost**: The cost of implementing badge systems is moderate. They require investment in badge readers and managing badge issuance and maintenance.  
- **Privacy Concerns**: There are moderate privacy concerns with badge systems, as they collect data on employee movements which must be handled with care to ensure privacy.

**Sensor**

- **Accuracy**: Sensors offer moderate to high accuracy. They can provide detailed insights into workspace usage, including real-time occupancy and movement patterns.  
- **Scalability**: The scalability of sensor systems is low to moderate. While they offer detailed data, installing and maintaining a large number of sensors can be challenging and resource-intensive.  
- **Cost**: The cost of sensor systems ranges from moderate to high. High-quality sensors that provide detailed data can be expensive to purchase and install.  
- **Privacy Concerns**: Moderate privacy concerns are associated with sensor systems. They need robust data privacy measures to protect the information collected about employees’ presence and movements.

**Wi-Fi**

- **Accuracy**: Wi-Fi-based systems offer moderate to high accuracy. They can provide useful insights into workspace utilization by tracking devices connected to the network.  
- **Scalability**: Wi-Fi systems excel in scalability. They can be easily scaled across large workspaces since they leverage the existing Wi-Fi infrastructure.  
- **Cost**: The cost of implementing Wi-Fi systems is low. They utilize existing network infrastructure, which reduces the need for additional investments.  
- **Privacy Concerns**: There are low privacy concerns with Wi-Fi systems. As long as data usage complies with privacy regulations, these systems can be a relatively unobtrusive way to gather workspace data.

|   | Badge | Sensor | Wi-Fi |
| --- | --- | --- | --- |
| Accuracy | Moderate | Moderate – High  | Moderate – High  |
| Scalability | Moderate | Low – Moderate   | High |
| Cost | Moderate | Moderate – High   | Low |
| Privacy Concerns | Moderate | Moderate  | Low |

 

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