Tim Storer, CEO of Distribion, discusses the challenges of local marketing in an interview with LIMRA MarketFacts Quarterly.
If your like most marketers your currently being inundated with messages, publications and advertisements about Big Data and how it’s going to transform the way you do business. With the amount of data a business collects expecting to increase over 650% during the next five years the one thing that just about everyone agrees on is that there is certainly no shortage of data. Having access to data is one thing, but being able to get meaningful insight in order to put that data to use is often something entirely different. So, what is Big Data and what does your Read More
The Future of Big Data: Analytical Insight Through a Distributed Marketing Technology Key to Long-Term Sales Growth
New evidence provides undeniable proof that the analytical insight gained through Big Data will continue to help business professionals meet their marketing objectives and improve sales processes. The powerful tool that brings the Big Data analytics to the forefront of business planning for marketers is a distributed marketing technology. According to executives at Distribion, Inc., a firm that specializes in multi-channel distributed marketing platform technology, the growing analytical and technological capability of managing the unprecedented amounts of enterprise data will explode to all new levels within the next several years. “Big Data”, according to Distribion’s CEO, Tim Storer, “will shift Read More
The buzz around the term “Big Data” is almost deafening and is now on course to be as overused as the glorious, all-encompassing “Cloud”. That being said, the hype and buzz around Big Data and its impact on the marketing world is certainly not without serious merit. As with most new buzz terms, the definition of Big Data depends upon who you ask. Some define Big Data using quantifiable terms such as achieving a certain data size limit. Others use relative terms, classifying Big Data as when an organization’s data becomes too big, moves too fast or becomes too complex Read More