Aqualia

Predictive analysis used to understand water consumption, improving resource management

Published on 15-Apr-2013

"By applying advanced analytics to demand forecasting, we can now provide our customers with reliable water supply, even during high peak periods, through accurate pricing policies." - Manuel Antonio del Castañedo Rodríguez, Management and Customers Control Director, Aqualia

Customer:
Aqualia

Industry:
Energy & Utilities

Deployment country:
Spain

Solution:
BA - Business Analytics, BA - Predictive Analytics, Big Data & Analytics, Big Data & Analytics: Customers, Smarter Planet

Overview

Founded in 2002 and based in Madrid, Aqualia operates as a water management company, servicing a population of more than 27 million people worldwide.

Business need:
To align supply and distribution to customer demands, Aqualia wanted to accurately forecast water consumption for its agricultural industrial and consumer customers in more than 450 municipalities across Spain at regional and national levels.

Solution:
To help ensure water conservation and meet customer needs, Aqualia uses sophisticated statistical analysis to identify water consumption patterns and trends in customer data to predict future demands.

Benefits:
Accelerates the process for predicting national water consumption by 99 percent — from a month to 30 minutes — by automating data aggregation and implementing statistical modeling

Case Study

Founded in 2002 and based in Madrid, Aqualia operates as a water management company, servicing a population of more than 27 million people worldwide. With more than 7,000 employees, the company engages in the management of public water services and offers solutions for the management of the complete cycle of water for agricultural, industrial and domestic purposes. The company offers solutions to both public and private entities, and provides services in Italy, Portugal, Algeria, China, Mexico, Czech Republic and Poland.

The Opportunity
To align supply and distribution to customer demands, Aqualia wanted to accurately forecast water consumption for its agricultural, industrial and consumer customers in more than 450 municipalities across Spain at regional and national levels. However, its existing processes lacked the capability to provide insight into common usage patterns and causes for fluctuations in consumption and took weeks to aggregate all the necessary data and estimate water needs at the national level.

What Makes It Smarter
Efficient water management is crucial in preventing shortages, especially for a country plagued with low rainfall and varying degrees of drought. To help ensure water conservation and meet customer needs, Aqualia uses sophisticated statistical analysis to identify water consumption patterns and trends in customer data to predict future demands. New insights help the company understand water consumption levels of different customer groups across 450 municipalities throughout Spain, pinpointing the contributing factors for varying levels of demand, especially low and peak demand periods. For example, based on consumption history, demographics and other related data such as climate forecasts, the solution helps the company identify and take into account the influx of tourism in specific regions during the summer months and the effect of irregular weather patterns and potential fires on other regions. As a result, the company can precisely predict and prepare for varying consumption levels as well as low and peak periods across the country within minutes. The utility now has the precision to accurately align its water supply resources and operations to demands and provide more precise pricing options for its customers.

Real Business Results
• Improves water distribution for 450 municipalities by 100 percent • Reduces the prediction error for future water consumption to around 4 to 5 percent through precise statistical modeling • Accelerates the process for predicting national water consumption by 99 percent — from a month to 30 minutes — by automating data aggregation and implementing statistical modeling

For more information
Please contact your IBM representative or IBM Business Partner. Visit us at ibm.com/spss.
To learn more about Aqualia, visit www.aqualia.es.

Products and services used

IBM products and services that were used in this case study.

Software:
SPSS Modeler Desktop

Legal Information

© Copyright IBM Corporation 2013 IBM Corporation Software Group Route 100 Somers, NY 10589 Produced in the United States of America March 2013 IBM, the IBM logo, ibm.com and SPSS are trademarks of International Business Machines Corp., registered in many jurisdictions worldwide. Other product and service names might be trademarks of IBM or other companies. A current list of IBM trademarks is available on the Web at “Copyright and trademark information” at www.ibm.com/legal/copytrade.shtml. This document is current as of the initial date of publication and may be changed by IBM at any time. Not all offerings are available in every country in which IBM operates.The performance data discussed herein is presented as derived under specific operating conditions. Actual results may vary. THE INFORMATION IN THIS DOCUMENT IS PROVIDED “AS IS” WITHOUT ANY WARRANTY, EXPRESS OR IMPLIED, INCLUDING WITHOUT ANY WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND ANY WARRANTY OR CONDITION OF NONINFRINGEMENT. IBM products are warranted according to the terms and conditions of the agreements under which they are provided.