Improving Customer Satisfaction Through Big Data with George Mathew
George Mathew, President and COO of Alteryx, will be joining forces with Health 2.0 EDU next Tuesday, July 23rd at 3pm PT in the continuation of the summer web series, Big Data, Big Business. In his upcoming class, we expect to learn new tips on how to use data blending and predictive modeling to improve health care consumer satisfaction. But until then, we asked George, what’s the big deal on big data in health care?
EDU: Health care is becoming more personalized for the individual consumer. Has this impacted how and when segmentation is used?
GM: There is lot more data out there especially on consumer behavior. Having more information on each customer, blending that with social media, segmentation and other data, can allow any health care organization to personalize and meet the greater needs of more customers. For instance as we transition into universal health care and privatized medicare, payer/providers need to understand how to capture and market to individuals 65 and older more effectively.
EDU: How are companies such as Alteryx using big data to improve health care consumer satisfaction?
GM: Applying analytics to health care across marketing, consumer behavior, demographics, and population statistics, brings stronger patient satisfaction. Alteryx clients in the health care industry are able to incorporate all types of data, blend them together and incorporate predictive, spatial and other analytics in order to discover the answers to provide better service to patients, predict what consumers need and provide programs that will increase consumer loyalty.
EDU: Describe your approach to predictive modeling with a new health care data set. Are there any pitfalls you consistently run into?
GM: Alteryx incorporates the latest R programming predictive language into our platform, but we make it easy by leveraging the most popular predictive analytics models for analysts to use, without any programming. The platform allows business analysts to pull almost any data (health care related, as well as demographics, geographic and other data) into their analytic model to make the most of the data in order to make the best decision.
EDU: What do you think is the most effective application of big data in consumer health care to date?
GM: Leveraging customer data with other content can provide health care organizations with ways to provide better services, see what patients and consumers really are looking for now and in the future, and make it easier for health care providers to set up their organizations based on the demographic needs of its network. There is still a wide open opportunity to improve clinical research and patient outcomes that is still quite untapped.
EDU: What are you most excited about in regard to your upcoming Learn It Live class with Health 2.0?
GM: Working with Health 2.0 and teaching analytics will allow attendees to open up new possibilities and highlight where analytics can impact health outcomes. I look forward to helping people see the possibilities, especially among data analysts, more efficiently, rather than waiting to big budget transformational initiatives within their organizations.