Turbo-Chart
Linear schedule visualization of Primavera P6 and Microsoft Project data. Easily import data from your scheduling system and apply standardized templates to produce accurate and actionable graphics.
- Turbo-Chart is Emerald or Oracle cloud enabled and can be deployed on premises
- Turbo-Chart Blog - Tips, tricks and use cases on how we've automated Turbo-Chart visualizations
- Easily integrate Primavera P6, Microsoft Project, or Safran data
- Give contractors actionable visualizations based on your business' standard templates
About Linear Project Software
Linear Project Software was established by Santosh Bhat and Rusty Johnson to provide tools for visualization of Linear Project Schedules. Time Location Charts are an alternative form of representing project schedules suited to linear projects where work progresses in a repetitive manner and/or in a continuous linear-direction over the project’s physical location and also where work occurs in fixed locations that interface with the linear works. Examples of linear projects include:
- Highways
- Railway
- Tunnels, and
- High-Rise Building Construction
key features and benefits
- Speed and Efficiency - Turbo-Chart Software is engineered for speed and efficiency. With advanced algorithms and optimized processes, users can generate charts quickly, saving valuable time in data analysis workflows.
- Customization Options - From pie charts to scatter plots, Turbo-Chart software provides a wide range of chart types to suit various data visualization needs.
- Interactivity and Engagement - Interactive charts enhance audience engagement by allowing viewers to explore data dynamically.
- Integration Capabilities - Turbo-Chart seamlessly integrates with popular data analysis platforms, such as Primavera P6, Microsoft Excel, Google Sheets, and Tableau. This interoperability enables users to leverage their existing data infrastructure while harnessing the power of Turbo-Chart for visualization purposes.
Embrace the power of Turbo-Chart Software and transform your data visualization endeavors today.
