Data is power and contributes to knowledge, yet we surprise ourselves at the volume of data collected and more often are baffled at how to interpret the meaning of the data. Research and process improvement needs data, but if the objectives are not established before the collection, often the wrong parameters are collected. This leads to frustrations and delays. Analysis of data and turning that analysis into meaning is critical. This audioconference will identify the key to turning data into knowledge.