Welcome!

Log Management Authors: Dana Gardner, Pat Romanski, Elizabeth White, David H Deans, Carmen Gonzalez

News Feed Item

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) -- 11/13/14 -- 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 Gaëlle 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 company's 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, HP's 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 HP's businesses; the competitive pressures faced by HP's businesses; risks associated with executing HP's 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 HP's products and services effectively; the protection of HP's intellectual property assets, including intellectual property licensed from third parties; risks associated with HP's international operations; the development and transition of new products and services and the enhancement of existing products and services to meet customer needs and respond to emerging technological trends; the execution and performance of contracts by HP and its suppliers, customers, clients and partners; the hiring and retention of key employees; integration and other risks associated with business combination and investment transactions; the execution, timing and results of restructuring plans, including estimates and assumptions related to the cost and the anticipated benefits of implementing those plans; the resolution of pending investigations, claims and disputes; and other risks that are described in HP's Quarterly Report on Form 10-Q for the quarter ended April 30, 2014 and HP's other filings with the Securities and Exchange Commission. HP assumes no obligation and does not intend to update these forward-looking statements.

© 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.

Editorial contact

Randy Cairns
HP
[email protected]

www.hp.com/go/newsroom

More Stories By Marketwired .

Copyright © 2009 Marketwired. All rights reserved. All the news releases provided by Marketwired are copyrighted. Any forms of copying other than an individual user's personal reference without express written permission is prohibited. Further distribution of these materials is strictly forbidden, including but not limited to, posting, emailing, faxing, archiving in a public database, redistributing via a computer network or in a printed form.

IoT & Smart Cities Stories
When talking IoT we often focus on the devices, the sensors, the hardware itself. The new smart appliances, the new smart or self-driving cars (which are amalgamations of many ‘things'). When we are looking at the world of IoT, we should take a step back, look at the big picture. What value are these devices providing. IoT is not about the devices, its about the data consumed and generated. The devices are tools, mechanisms, conduits. This paper discusses the considerations when dealing with the...
Charles Araujo is an industry analyst, internationally recognized authority on the Digital Enterprise and author of The Quantum Age of IT: Why Everything You Know About IT is About to Change. As Principal Analyst with Intellyx, he writes, speaks and advises organizations on how to navigate through this time of disruption. He is also the founder of The Institute for Digital Transformation and a sought after keynote speaker. He has been a regular contributor to both InformationWeek and CIO Insight...
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by ...
Digital Transformation is much more than a buzzword. The radical shift to digital mechanisms for almost every process is evident across all industries and verticals. This is often especially true in financial services, where the legacy environment is many times unable to keep up with the rapidly shifting demands of the consumer. The constant pressure to provide complete, omnichannel delivery of customer-facing solutions to meet both regulatory and customer demands is putting enormous pressure on...
Bill Schmarzo, Tech Chair of "Big Data | Analytics" of upcoming CloudEXPO | DXWorldEXPO New York (November 12-13, 2018, New York City) today announced the outline and schedule of the track. "The track has been designed in experience/degree order," said Schmarzo. "So, that folks who attend the entire track can leave the conference with some of the skills necessary to get their work done when they get back to their offices. It actually ties back to some work that I'm doing at the University of San...
CloudEXPO New York 2018, colocated with DXWorldEXPO New York 2018 will be held November 11-13, 2018, in New York City and will bring together Cloud Computing, FinTech and Blockchain, Digital Transformation, Big Data, Internet of Things, DevOps, AI, Machine Learning and WebRTC to one location.
Andrew Keys is Co-Founder of ConsenSys Enterprise. He comes to ConsenSys Enterprise with capital markets, technology and entrepreneurial experience. Previously, he worked for UBS investment bank in equities analysis. Later, he was responsible for the creation and distribution of life settlement products to hedge funds and investment banks. After, he co-founded a revenue cycle management company where he learned about Bitcoin and eventually Ethereal. Andrew's role at ConsenSys Enterprise is a mul...
SYS-CON Events announced today that IoT Global Network has been named “Media Sponsor” of SYS-CON's @ThingsExpo, which will take place on June 6–8, 2017, at the Javits Center in New York City, NY. The IoT Global Network is a platform where you can connect with industry experts and network across the IoT community to build the successful IoT business of the future.
DXWorldEXPO | CloudEXPO are the world's most influential, independent events where Cloud Computing was coined and where technology buyers and vendors meet to experience and discuss the big picture of Digital Transformation and all of the strategies, tactics, and tools they need to realize their goals. Sponsors of DXWorldEXPO | CloudEXPO benefit from unmatched branding, profile building and lead generation opportunities.
Disruption, Innovation, Artificial Intelligence and Machine Learning, Leadership and Management hear these words all day every day... lofty goals but how do we make it real? Add to that, that simply put, people don't like change. But what if we could implement and utilize these enterprise tools in a fast and "Non-Disruptive" way, enabling us to glean insights about our business, identify and reduce exposure, risk and liability, and secure business continuity?