November 15, 2010

Theta’s scheduler and analytics solution helps Genesis Energy manage the rollout of almost half a million new electricity meters

Theta’s scheduler and analytics solution helps Genesis Energy manage the rollout of almost half a million new electricity meters

Over the next five years, most of Genesis Energy’s 500,000 electricity customers will have their existing analog meters replaced with new Advanced Meters. Genesis Energy asked long-term business intelligence and software development partner Theta Systems to develop the behind-the-scenes technology to help make the upgrade a success.

We developed a web application – the ‘Advanced Metering Scheduler’ (AMS) – to schedule the installations of the new meters throughout New Zealand.  And our business intelligence solution – including an intuitive dashboard, detailed reports and ad-hoc analysis capability – ensures that Genesis Energy always knows exactly where they are at with the rollout.

“The meter upgrade couldn’t begin until we had a good system in place to manage and schedule installations. Theta, with their understanding of our business, systems and dataquickly delivered a robust solution that is easy to use.  The reporting dashboard is intuitive, and we can see at a glance our rollout status and anything that requires action”  Peter McComish, Energy Delivery Manager -  Genesis Energy

The dashboard is part of a complete data warehouse and business intelligence solution for Genesis Energy, integrating new data into their data warehouse and developed on an existing Cognos 8 platform.  The solution provides critical information to help manage and schedule the meter installations.  Other components include pre-built reports and the ability to perform ad-hoc analysis.

The AMS web application is a custom Java solution using the latest AJAX technology to provide good usability.  We developed the application using a 3-layer technology stack – Iceface (user interface), Spring (middle tier) and Hibernate (database tier) – while the Agile development methodology provided maximum flexibility and accelerated delivery.