In a recently completed survey of non-customers, we found that analysts who used Query/400 reported spending an average of 1.625 hours per day extracting, manipulating, and distributing data. We know from previous studies that people who move to NGS-IQ typically cut the time they spend on these tasks by approximately 50%.
That reduction in time is due to NGS-IQ having many more features which let analysts and business users write and run fewer queries and automate data transfers, spreadsheet updates, and report distribution. The math works out to 0.8125 hours per day in labor savings or about 10% of an eight-hour work day. Using a national average of $70,000 annual salary for a business analyst, the financial savings equate to $7,000 per year.
This productivity savings doesn't include the intangible business value and impression you make on your customers when staff members regularly have meaningful, accurate, timely data at hand.
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