Customer service as a car insurance provider comes with the added challenge of constantly ingesting and storing data of all types. Not only that, but a large part of marketing to new customers, while remaining committed to existing customers, is effectively utilizing data from multiple sources. Progressive Insurance is one of the largest U.S. auto insurance companies and is committed to continuously provide fast, fair, and better coverage for its customers. Progressive is able to innovate for its customers because it innovates with its data.
San Jose DataWorks Summit is only days away and you will want to insure data within your enterprise by adopting a data lake. To find out how Progressive does it, you can check out the breakout session delivered by Krishna Potluri, Big Data Architect at Progressive and Dr. Tendü Yogurtçu, Chief Technology Officer of Syncsort taking place at the Summit.
On Tuesday, June 13 at 12:20pm, Krishna and Tendü will present:
Journey to the Data Lake: How Progressive Paved a Faster, Smoother Path to Increase Enterprise Adoption
For a synopsis of their session, read the abstract below:
Progressive Insurance is well known for its innovative use of data to better serve its customers, and the important role that Hortonworks Data Platform has played in that transformation. However, as with most things worth doing, the path to the Data Lake was not without its challenges. In this session, I’ll share our top use cases for Hadoop – including telematics and display ads, how a skills shortage turned supporting these applications into a nightmare, and how – and why – we now use Syncsort DMX-h to accelerate enterprise adoption by making it quick and easy (or faster and easier) to populate the data lake – and keep it up to date – with data from across the enterprise. I’ll discuss the different approaches we tried, the benefits of using a tool vs. open source, and how we created our Hadoop Ingestor app using Syncsort DMX-h.