ASK AN ANALYTICS KEYNOTE SPEAKER: WHAT’S THE FUTURE OF MARKET RESEARCH AND DATA MANAGEMENT?

ASK AN ANALYTICS KEYNOTE SPEAKER: WHAT’S THE FUTURE OF MARKET RESEARCH AND DATA MANAGEMENT?

The field’s top analytics keynote speakers foresee data becoming an even more integral part of strategic decision-making in the near future. As more processes become digitalized, consultants anticipate exponentially larger data sets for organizations to leverage. Per the industry’s best analytics keynote speakers, successfully capitalizing on the insights hidden within all this information will determine success in nearly every industry.

To handle ballooning data stores, many of our favorite (and hugely-popular) futurist consultants and analytics keynote speakers emphasize that advanced analytics techniques will be imperative. We’re talking machine learning and artificial intelligence to process data, identify patterns and sense underlying meanings faster than humans can. Pros also see predictive modeling becoming more prevalent to help organizations prepare for future scenarios versus just evaluating historical performance. As research models grow more sophisticated, analytics keynote speakers expect executives will rely heavily on insights to guide innovation, optimize operations and manage risk.

However, business leaders caution that bigger data and superior analytics alone cannot guarantee effective outcomes without the right infrastructure to activate insights across the business. To that end, analytics keynote speakers stress the importance of breaking down data siloes, ensuring data quality and building a data-driven culture. With comprehensive data strategies in place, pros believe a shift from hindsight to foresight is within reach across functions like supply chain optimization, targeted marketing, predictive maintenance, clinical care and more.

But on another front, advisors note that responsibilities for managing and interpreting data are expanding beyond IT teams. Already, analytics keynote speakers see formally trained data scientists and citizen data scientists dispersed through departments where analyzing information and challenging assumptions with objective facts informs better decision-making. Upskilling employees through all levels via analytics training will further drive this cultural shift. Though it poses challenges, analytics keynote speakers are excited for the democratization of data and see it unleashing innovations through fresh perspectives.