CASE STUDY Deloitte US is a large professional services firm employing over 84,000 people worldwide. Deloitte’s practitioners provide audit and assurance, consulting, tax, risk, and financial advisory services to 80% of the Fortune 500 and more than 6,000 private and middle market companies across 20 industry sectors. As a large company, Deloitte often faces data overload: access to multiple, very large data sets without the time and resources to fully analyze that data for meaningful recommendations. Company leaders often must move quickly to make decisions based on data findings – a process that can often require manual or semi-manual data aggregation and analysis. Adding to the need for quick data analysis are the needs of Deloitte’s clients, who often approach Deloitte with a d

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