We talk about interrogating the data, but exactly what does that mean? What questions should be we asking? How do we formulate those questions? What about running various analysis techniques that might surface "interesting" outliers in data? Or is the answer always "Apply the random forest classification technique"? Our panel of experienced data journalists explores the intricacies of data analysis.