Building Real-time Location Applications on Massive Datasets
Gartner predicts that by 2022, 30% of customer interactions will be influenced by real-time location analysis, up from 4%. This shouldn’t come as a surprise given the explosion of smart devices and sensors and the amount of customer data that’s being captured — most of it with location and time information. But this also means increasing pressure to improve the speed and accuracy of business processes and deliver contextually relevant experiences by analyzing massive datasets, visualizing the results and delivering highly customized location-aware analytics applications.
Businesses that generate location data can create new revenue streams by building data services for other companies and industries. Telecom companies, for example, generate a huge amount of location data with high value that can be sold to retailers and other businesses. The same is true for payment processing vendors. Location data is valuable, even when anonymized to maintain user privacy.
Read more in the white paper below or download the PDF.
Learn more about real-time location intelligence, visit Kinetica.com