Digital Demand Surge Necessitates Building the Enterprise Network of the Future
In an ideal world, all employees serving across all job functions would be able to access and analyze all the information they need with ease. Unfortunately, today most analytics technologies still require specialized skills and expertise. As a business intelligence industry, we try to overcome these obstacles by making self-service analysis easier with improvements to the user interface and streamlined processes. But we know that analysis, by nature, is complex and requires data literacy and skills. Watch and listen to David Menninger, SVP & Research Director for Ventana Research to learn more about the benefits of Natural Language Query (NLQ) and how to take advantage of a guided approach to minimize the frustration and maximize the productivity of those working with data.