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This paper shows the use of data warehouse as an alternative for managing data collected by Wireless Sensor Networks that monitor bees. The scientific research that uses Wireless Sensor Network for habitat or animal monitor used to produce a large amount of data that need to be analyzed and normalized, so as to help researchers and other people interested in the information. These data managed and compared with information from other sources and systems could contribute in decision processes and seed again other experiments. This paper proposes a model to extract, transform and normalize data collected by Wireless Sensor Networks that monitor pollinators and loaded in a data warehouse. The crossing of tabulated data with other sources, such as technical report is essential to improve data accuracy and create better data warehouse views. Hence, data warehouse applied to the context above is detached as a useful alternative that helps specialists to obtain information for decision processes.