Agile Analytics

About Agile Analytics

Agile Analytics stands as an all-encompassing, code-free utility analytics platform that expedites the development of impactful data solutions without the need for coding.

It offers a unified interface that combines specialized data connectivity, ETL (Extract, Transform, Load), visualization, and machine learning capabilities that are customized to meet the specific requirements of utilities. With just a few simple actions, users can link up with various data sources, process and analyze data, and create operational analytics applications.

Key features encompass:

- Connectivity to a wide range of data sources such as SCADA, AMI, CIS, GIS, asset monitors, weather data, ISO feeds, and more.
- ETL processes with no need for coding, enabling data transformation, validation, and cataloging.
- Workflow automation through a drag-and-drop interface for making analytics operational.
- Interactive dashboards, charts, and reports to visualize data.
- A built-in library containing multiple advanced analytics algorithms and machine learning models.
- Visual tools for building, training, testing, and deploying custom machine learning models.
- Pre-established solutions for common use cases such as load forecasting, asset health assessment, vegetation management, and market simulation, along with customer engagement.
- An open and adaptable architecture that can integrate new data sources and algorithms.

Agile Analytics empowers utilities to democratize analytics throughout the organization, making insights more readily accessible. It lessens the reliance on IT and data scientists to extract value from data. The platform allows users to create scalable analytics solutions tailored to the unique needs of each utility, all in a faster and more cost-effective manner.

Through Agile Analytics, utilities can enhance decision-making intelligence, boost operational efficiency, cut down on expenses, accelerate workflow velocity, and deliver increased value to stakeholders.