Today Ecova released a new whitepaper titled, "A Big Data Look at Energy Trends: 2009-2011". We believe big data is creating new opportunities for companies to rein in the rising and increasingly volatile cost of energy. We’ve seen this happen in other industries, and energy is next. With access to and the ability to analyze exponentially larger amounts of data, companies can make cost-effective, strategic decisions to reduce energy costs and maximize returns on their energy management investment.

Our data set is unique, and our clients benefit from having access to it. We process and analyze energy expenses for more than 700 of the country’s largest enterprises, and we have detailed insight into over 25,000 MW of U.S. electricity demand. To the data from nearly a billion electronic transactions a day flowing across our system, Ecova adds external data such as sophisticated procurement, weather, client portfolio, and business productivity numbers to create a complete picture of energy consumption and costs for 5.5 percent of total industrial and commercial U.S. electric load; more than nearly any utility in the United States.

Our Energy Data Warehouse infographic shows an interesting trend - a decrease in total electric consumption intensity (as measured by kWh per sq. ft.) of 8 percent during the 2009 - 2011 period, providing energy managers with timely benchmarks for their own trend analysis.

In addition to benchmarking, this kind of data helps our clients in the following ways:

• Conduct detailed baseline and trend analysis,
• Forecasting, and
• Advanced analytic, measurement and verification processes.

When combined with on-the-ground engineering expertise and, increasingly, remote continuous monitoring and controls, these tools allow companies to effectively manage energy at all levels of their organization.

Contact us if you’d like to learn more about how the size of the Ecova Energy Data Warehouse, and the analytic tools we continue to enhance, are changing the way energy is managed to optimize consumption and reduce companies’ environmental footprint.