Over the past few years, the utility industry has been transformed. Deregulation in many markets has created unprecedented competition, new opportunities for co-operation and reshaped marketing. Environmental concerns have brought new regulation and compliance requirements. In addition, advancements in technology are enabling a move to a Smart Grid that re-invents how utilities are used and delivered.
Utilities has always been a data intensive industry. Meters installed at individual customers and company sites needed to be read and the information fed into billing systems, provisioning systems, marketing systems, and more. With the move to Smart Meters and Grids, the constant flow of information is expected to drive an exponential increase in the amount of data that must be handled.
It has always been critical for utilities to ensure that the data collected from meters and entered into various systems was accurate. Now, as millions of Smart Meters come online, it more critical than ever that the data is accurate at the point of entry, or errors will propagate quickly across multiple systems. Not only can Ataccama's technology handle these enormous volumes, but it can also provide the real-time performance that smarter systems demand.
As utilities try to create the next-generation grid by incorporating renewable energy sources, variable pricing and smart meters, they must deal with an enormous influx of data from a wide variety of sources. Some industry applications include:
- Service Calls
Your Real World Example
A major European utility company, providing energy and water to more than 1.1 million customers, had a number of data quality efforts designed to support a Customer Information Management system for metering and billing data. Unfortunately, the company found these independent efforts were not delivering the required benefits. By moving to a more holistic approach to data quality, based on Data Quality Center and other tools, the company believes it can improve not only data quality, but create more efficient and effective business processes as well.
- Creation of a uniform group-wide deployable solution
- Integration of existing IT components (ETL, BI)
- Reduction of manual effort in the implementation of the different measurement cycles by centralizing all DQ tests and harmonization of the different measurement cycles