When Spreadsheets Are Not Enough: Get More Out of Your Data

Spreadsheets are great for simple data analysis problems. That is, until the complexity of the relationships in your data increases. For instance, when more than one input factor is responsible for variation in the output of interest (or when you have many related inputs), tabular summaries, pivot tables, and spreadsheet graphs may not offer the best insights or save time.

It is likely you are collecting more data than ever before, and fresh approaches are needed to help extract meaning from your data efficiently. This webinar shows how to gain insight into the relationships in higher dimensional data by using integrated data management, dynamic graphs, and statistics to understand what your data is telling you.

Learn how to:

• Identify situations in which spreadsheet methods may not be sufficient to solve your problems.
• Make the most of integrated data management, visualization, and statistics to reveal practical insights in your data.
• Get answers from your data efficiently and effectively.

Christian Bille

Christian Bille is a Systems Engineer for JMP. With a background in materials and manufacturing engineering, Bille previously worked as a consulting analyst for pharmaceutical engineering consulting firm NNE. Bille holds a masters and bachelors in engineering, both from Danmarks Tekniske Universitet.