Reduce time and costs of digital transformation

Introduction

Many utilities depend on external consultants or extensive internal manpower for data corrections and pipeline validation, significantly increasing operational costs and complexity. Manual data reconciliation between pipeline databases and hydraulic models often results in slow progress and high costs. Clean data is the foundational step for any successful digital transformation, and PipeFusion offers an automated solution that reduces these burdens, cutting costs and enhancing operational efficiency.  

The problem

Water utilities face a critical challenge: ensuring consistent and accurate pipeline data across multiple systems. Traditionally, this task has been tackled by either engaging expensive external consultants or allocating large amounts of internal manpower for manual data correction. Both approaches are time-consuming, costly, and prone to errors. The lack of clean data delays digital transformation efforts, undermining operational efficiency and strategic initiatives.

How PipeFusion solves the problem

PipeFusion provides a streamlined, automated solution for data correction, leveraging advanced machine learning algorithms to identify and resolve errors in pipeline geometry, connectivity, and flow direction. By automating this critical first step in the digital transformation journey, PipeFusion enables utilities to maintain clean, reliable data, minimising the need for external consultants or extensive internal resources.

Key functionalities include:

• Automatic connection detection: PipeFusion identifies and corrects connectivity issues across datasets, ensuring a seamless integration of network data.
• Flow direction correction: PipeFusion automatically detects and corrects errors in flow direction, improving the accuracy of simulations and models
• Immediate ROI: With a quick setup time (typically within 1-2 days) and minimal IT involvement, utilities can quickly experience the benefits, reducing external consultancy fees and internal labor requirements.

Results and benefits

• Clean data for digital transformation: PipeFusion ensures utilities have accurate data as the critical first step in their digital transformation journey, enabling more advanced analytics and predictive modeling.
• Reduced dependence on consultants: Achieve up to 80% reduction in external consultancy costs by automating data validation processes.
• Efficient in-house data management: Utilities can maintain and validate data internally with fewer resources, reducing operational strain and enhancing control over data quality.
• 8x faster data correction: Automated processes drastically accelerate the data validation and correction timeline compared to manual methods.‍
• 14-20% reduction in operational expenditures: Reduced reliance on consultants and more efficient internal processes contribute to lower ongoing operational costs.

Conclusion

Clean data is the cornerstone of any successful digital transformation, and PipeFusion provides utilities with an essential tool to automate data correction, reduce reliance on costly consultants, and minimise the need for extensive internal manpower. By taking control of their data accuracy, utilities can achieve faster, more cost-effective digital transformation, driving long-term operational efficiency and proactive network management.