The Downstream Effects of Customer Success

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5 min read

It’s well understood that businesses that leverage their data are more likely to be successful in their respective industries. By leveraging big data, businesses can boost their competitive advantage, improve their decision-making process, and increase revenue. Many customers achieve this via a joint solution with Cisco UCS Integrated Infrastructure for Big Data and the MapR Data Platform. What makes our customer successes even more interesting is hearing how their customers are succeeding.

Quantium Chooses MapR and Cisco UCS to Meet Their Strict Requirements

One great customer example is Quantium, an Australian-based data analytics firm that enables clients to gain customer and market insights that dramatically improve business operations. They work with very large businesses throughout the world, and are now one of the biggest data processors in Australia. The challenge for Quantium was that they were seeing tremendous growth rates of data, so they needed to be able to plan ahead. According to Greg Schneider, Executive Director at Quantium, just a few years ago “the data sizes were only 10 or 20 million rows. It’s now 10 or 20 trillion rows, which is a million times increase in only 3 or 4 years.”

With that kind of growth, Quantium could not afford to risk a “good enough for now” approach. They needed to make sure their technology decision would last them for many years to come. To solve the challenge of analyzing big data, Simon Reid, Group Executive, Technology for Quantium, knew they had to continue their business journey with the question, “What platform do we need to do the analytics, and what platform would actually support the vision analytics that we have?” He expects continued growth at Quantium at a level similar to what they’ve seen over the past 14 years.

Quantium turned to Cisco Unified Computing System (Cisco UCS) and the MapR Data Platform to revolutionize its analytics approach and meet their clients’ needs. Cisco is a great partner for both MapR and Quantium, as they build hardware with scaling in mind. Reid continues, “In the end, we decided on a big data platform: Cisco for our bare metal and all of our networking communications, and MapR as a layer over the top of that.”

With this joint solution, Quantium never has to worry about how they’re going to handle more data. And with the wide variety of analytical engines available for use with the MapR Data Platform (Apache Drill, Hive, Mahout, Spark MLlib, just to name a few), Quantium will not be limited with the ways they can deliver insights. The MapR Platform also provides many other capabilities that will help Quantium as they continue to expand. Features like MapR Monitoring, multi-tenancy, speed, easy scalability, etc., allow them to plan ahead for expansion as they add more customers and more data. The performance and efficiency advantages also help them to get the most out of their Cisco hardware investment.

Improving Customer Loyalty at Woolworths

Watch the Cisco video (we appreciate the shout out to MapR by Simon Reid at the 1:58 mark), which shows how Quantium is changing the way retailers glean business insights with their powerful analytics engine. The video showcases how one of Quantium’s customers, Woolworths Limited (an Australia-based company), is able to provide more relevant and personalized offers to their 9 million customers. Ingrid Maes, Director of Loyalty and Customer Data for Woolworths, boasts of the significant value realized from the analytical insights they derived from Quantium, which resulted in more than quintupling (yes, 5 times!) their hit rate for purchases of recommended products.

What’s interesting about Australian consumers is that they are among the most technologically sophisticated in the world, using a wide range of applications and devices to shop whenever and wherever they choose. These Australian consumers highly value a personalized experience, one with messages, recommendations, and promotions tailored to each individual.

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This blog post was published November 10, 2016.

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