HP Helps BlaBlaCar Improve Customer Experience

HP Helps BlaBlaCar Improve Customer Experience

Online Community Marketplace Improves Effectiveness of Its Marketing Campaigns by Harnessing the Power of Big Data Analysis With HP Vertica

PARIS, FRANCE--(Marketwired - Nov 13, 2014) - HP (NYSE: HPQ) today announced that BlaBlaCar, an online community marketplace that connects drivers with empty seats to passengers looking for a ride, has increased customer loyalty and improved the effectiveness of its marketing campaigns by analyzing its big data with HP Vertica.

A successful and innovative worldwide start-up headquartered in Paris and with international teams in Madrid, Milan, Warsaw, Hamburg, London and Moscow, BlaBlaCar has created an entirely new people-powered transport network. With a state-of-the-art web and mobile platform, dedicated customer service and a fast-growing community of users, BlaBlaCar makes travel less costly, more social and more efficient for more than 10 million members in 12 countries.

BlaBlaCar is such a hit among travelers in Europe that we transport more people a month than Eurostar, and we are in a rapid international growth phase, says Ga lle Periat, Business Intelligence Manager, BlaBlaCar. Business intelligence is at the heart of our decision making, and we take a data-driven approach to increasing the effectiveness of our marketing. Over two million people use BlaBlaCar every month, and HP Vertica helps us harness the power of that big data to optimize the performance of our CRM campaigns and develop programs to improve our customers experience.

Running on a Cloudera Distributed Hadoop cluster, HP Vertica provides BlaBlaCar with a real-time big data analytics platform. Designed for read-intensive workloads, its fast ad hoc SQL query performance has increased the effectiveness of the companys marketing campaigns by enabling data manipulation and analysis with greater frequency, at a higher granularity, and from multiple touch-points.

In the future, HP Vertica will allow BlaBlaCar to further refine its targeted marketing activities by integrating social media and predicting customer behavior through pattern recognition.

Managed from a virtual machine running Debian 6, the Cloudera Distributed Hadoop cluster comprises two machines running HP Vertica, one machine running Tableau software for exploration and data visualization, and one running Data Science Studio by Dataiku. This structure allows BlaBlaCar to make its analyst teams autonomous, and ensures short iteration times.

To help solve their marketing challenges, organizations like BlaBlaCar need to analyze massive volumes of big data -- structured, semi-structured and unstructured -- at unprecedented speed, said Colin Mahony, SVP & GM, Big Data Group, HP Software. The HP Vertica Analytics Platform was consciously designed with speed, scalability, simplicity and openness at its core, and architected to handle analytical workloads 50 to 1,000 times faster than traditional data warehouse solutions.

About HP

HP creates new possibilities for technology to have a meaningful impact on people, businesses, governments and society. With the broadest technology portfolio spanning printing, personal systems, software, services and IT infrastructure, HP delivers solutions for customers most complex challenges in every region of the world. More information about HP is available at http://www.hp.com.

2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. The only warranties for HP products and services are set forth in the express warranty statements accompanying such products and services. Nothing herein should be construed as constituting an additional warranty. HP shall not be liable for technical or editorial errors or omissions contained herein.

This news release may contain forward-looking statements that involve risks, uncertainties and assumptions. If the risks or uncertainties ever materialize or the assumptions prove incorrect, the results of HP and its consolidated subsidiaries may differ materially from those expressed or implied by such forward-looking statements and assumptions. All statements other than statements of historical fact are statements that could be deemed forward-looking statements, including but not limited to any projections of revenue, margins, expenses, HPs effective tax rate, earnings, net earnings per share, cash flows, benefit plan funding, share repurchases, currency exchange rates or other financial items; any projections of the amount, timing or impact of cost savings or restructuring charges; any statements of the plans, strategies and objectives of management for future operations, including the execution of restructuring plans and any resulting cost savings or revenue or profitability improvements; any statements concerning the expected development, performance, market share or competitive performance relating to products or services; any statements regarding current or future macroeconomic trends or events and the impact of those trends and events on HP and its financial performance; any statements regarding pending investigations, claims or disputes; any statements of expectation or belief; and any statements of assumptions underlying any of the foregoing. Risks, uncertainties and assumptions include the need to address the many challenges facing HPs businesses; the competitive pressures faced by HPs businesses; risks associated with executing HPs strategy and plans for future operations; the impact of macroeconomic and geopolitical trends and events; the need to manage third party suppliers and the distribution of HPs products and services effectively; the protection of HPs intellectual property assets, including intellectual property licensed from third parties; risks associated with HPs international operations; the development and transition of new

LINK:	http://www8.hp.com/us/en/hp-news/press-release.html?wireId=1896115&pag...
	See more stories from hp

Most recent headlines