Big Data Done Right by Successful Organizations

Amazon

Amazon has obtained a patent to ship us goods before we have even made a decision to buy them, purely based on their predictive big data analytics

the first retailer that used extensively algorithms to provide recommendations to customers Anticipatory Shipping some retailers already use predictive analytics to ensure the right items are

in stock, based on past buying patterns, social media analytics and weather predictions. Amazon is taking it to a personal level, predicting items each user might buy using item-to-item collaborative filtering on many data points (eg: what users have bought before, what they have in their virtual shopping card or wish list, the items they have rated and reviewed, as well as what other similar users have bought)

One Click Buy feature Predictive big data analytics

Mastercard

They sell data to retailers, banks and governments on spending patterns found in the payments it processes

MasterCard handles payments for 2 billion cardholders and tens of millions of merchants. It uses that information to generate real-time data on consumer trends, available more quickly that regular government statistics. "Retailers are fantastic at using the data they have available about how people shop in their store, how their inventory turns over, but what they don't know is what happens outside their store," she said. "The data we've got is ubiquitous across the whole market. We can help retailers see what they need to do to capture more sales. Ann Cairns, Head of MasterCard's business outside North America in Reuters interview

Walmart

Our ability to pull data together is unmatched Walmart CEO Bill Simon

Walmarts attempt to use data to predict customer behavior date back to at least 2004 WalmartLabs (2011) The Social Genome project - aims to increase the efficiency of advertising on social

networks by guessing what products people are likely to want to buy, based on their conversations with friends.

Shoppycat service suggests gifts that people might like to buy for their friends, based on their interests and Likes, and they also experiment with crowd-sourcing new products with Get On The Shelf.

Polaris - their own search engine - uses sophisticated semantic analysis to work out what a customer wants based on their search terms.

Smart lightbulbs containing Apples iBeacon technology to prepare to monitor shoppers in their stores

Walmart made a move from the experiential 10 node Hadoop cluster to a 250 node Hadoop cluster. They combined 10 different websites into a single one. Their analysis now covers millions of products and 100s of millions customers from different sources. The analytics systems at Walmart analyse close to 100 million keywords on daily basis to optimize the bidding of each keyword.

eHarmony Dating Site

Personalized matches and search results for millions of subscribers to

improve the chances of relationship success

Cerner Healthcare Company

Detect potentially fatal infections Cerner has built an enterprise data hub to create a more comprehensive view of any patient, condition or trends for over 1 million patients. Among other things, it is helping determine the likelihood that a patient has the potentially fatal bloodstream infection with a much greater accuracy than what was previously possible.

Nippon Paint

Domain: One of the largest paint manufacturers in the world

Nippon Paint uses SAP HANA to understand consumer behaviors, optimize its supply chain and improve its marketing campaigns.

They can quickly transform massive data from iColor website into valuable market insight for business actions. They built an analytics platform to capture consumer behaviors (eg: preferences on colors, design styles and designers, by demographic segments and geographic regions). They can quickly identify popular designers and decoration companies, allowing sales and marketing team to proactively build connections with them and to promote Nippon paint products. They can identify, on regional level, popular 3rd party portals which lead web visits to Nippons iColor website enabling them to place advertisements and push banners at the right portal to achieve maximum exposure. The first hand information on color trends and customer requirements on product features helps the R & D team to develop quality products to response to the market unique demands.

Caesars Luxurious Hotels and Casinos

Big Data is even more important than a gaming license Joshua Kanter, VP of Total Rewards

Caesar collects massive amounts of data and uses it to cultivate customer loyalty and surprise guests with gifts after, for example, a bad day at the casino. Their data-driven reward program has more than 45 million members, which are tracked from the moment they book until the moment they leave the hotel or casino. Due to the data-drive strategy, Caesars has been able to trace 58 percent of all costs spent to the customers in the company in 2004 to 85 percent today. Caesar tries to determine each guests profile. Cameras record action in the casinos and the choices the gamblers make while playing and combines this data with booking data, travel arrangements, dining, gaming and enjoying other activities at the companys properties. All this information is stored, analyzed and used to increase customer satisfaction.

Big Data Applied in Retail/eCommerce

Anticipate demand based on customers online activity, their

geographical location, period of the year, weather, etc

Recommendations, advertisements or real time offers based on

advanced customer segmentation and shopping patterns

Smarter shopping experience and smarter merchandising

Predictive analytics that enable you to optimize pricing, inventory

levels, check your competition pricing, improve your customer

service, increase customer satisfaction and your margins

Big Data Applied in Digital Publishing

Use social media behavior patterns as production line

Relevant content delivered to the appropriate customer segment at

the right time

Personalized content delivered in real time

Measure the effectiveness of your digital strategies and determine

the most effective methods to deliver content to your targets

Transform big data into actionable insights

Big Data Applied in Telecom

Products and services tailored based on customer behavior

Network infrastructure optimization

ARPU and up sell maximization by offering the right products based

on customer behavior, context and service availability

Reaction time improvements in case of incidents

Detailed insights and maps showing the distribution and dynamics

of revenue and churn versus the network type, quality or coverage

Upsell 4G

Telecom product recommendation

Users Location Profiling

Network Quality vs. Revenue and

Churn

Big Data Applied in Healthcare

Real-time analysis based on web search and social media or

messaging contexts

Improved efficiency by integrating health care data and using them

in the most optimum way

Customer care improvement based on better collaboration,

customer knowledge and prevention strategies

Big Data Applied in Distribution

Detailed customer information such as shopping patterns based on

web logs

Inventory improvement based on social media analysis

Loads integrity, transit times

Fuel consumption and route optimization

Big Data Applied in Financial Services

Contextual strategies and predictive analytics based on social

media or messaging contexts

Contextual targeting - the right customer, at the right time and

through the right channel based on cross channel data

Fraud detection based on analysis of historical data

Operational efficiency by consolidating data from different systems

and multiple sources

Real-time alerting and reporting

Euro IT Group Big Data Quick Wins with Hadoop

&

Understanding Benefits

of Implementing

Big Data with Hadoop

Immediate Business Results

Generate new insights Enabling short term business

benefits Measurable results

Test Hadoop Technologies Complement traditional BI / DWH

infrastructure with innovative solutions.

Expertise and Know How

Approaching big data in small steps

Euro IT Group Triple Expertise

Domain Specialists

Big Data Professionals

Ensures results are matching expectations.

Peers with operator marketing team.

Integrates multiple data sources Develops or customize real-time

and batch processing big data jobs.

Complex statistical data analysis requested by the marketing specialist.

Big Data Specialized Delivery Team

Data Scientist

Software Engineers

Marketing Specialist

Technologies We Master

JAVA: Apache Tomcat, JBoss AS, Jetty, IBM WebShere, Oracle, Application Server, WebLogic, Windows Server

IIS, Nginx, NetWeaver)

PHP: CodeIgniter, CakePHP, Zend, Yii, Kohana, Wordpress, Joomla,

Drupal, MODX, Magento, Prestashop, IPBoard, Smarty

ASP.NET, Visual Basic, ASP.NET AJAX, ASP.NET MVC, Remoting, Reflection,

ADO.NET, Entity Framework

MICROSOFT: C++, C#, ASP.NET,

ASP.NET MVC, Silverlight

MOBILE: Android, IOS, Windows 8, iPhone SDK,

Android SDK, JQuery Mobile, Flash Lite, J2ME,

Symbian, XMPP, SMS, WAP

BIG DATA: Hadoop, Hadoop Map reduce, Spark, Storm, Mahout,

Apache Pig, Apache Hive, Elastic Search, Cassandra, Apache HBase

CLOUD: Amazon web services, Amazon EC2,

Windows Azure

Technologies We Master

OTHERS:

Web Services: Apache CXF, Axis, SOAP, WSDL, JAXB, JAX-WS

Web technologies: XHTML, HTML5, XML, XSL, XSL-FO,XSLT, CSS, XPath, XQuery, SAX, DOM, StAX, Xerces, Flash, Flex

Content Management Systems: Stellent

Messaging Middleware: ActiveMQ, IBM MQ Series, Fiorano, MQSonic, TIBCO rendezvous

WEB: HTML5, XML, XHTML, XSLT, DHTML, CSS, XSLT, Javascript, jQuery,

PHP

BUSINESS INTELLIGENCE: Pentaho BI, crystal

Reports, Microsoft BI

Microsoft Visual Studio, Windows API, ActiveX, XCode, wxWidgets,

STL, WinDDK, Qt Framework, Microsoft CRM

AJAX & JAVASCRIPT: JQuery, YUI, ExtJS, JSON,MooTools,

Prototype JS, Dojo, YUI, Scriptacoulous, ASP.NET Ajax

control Toolkit, etc.

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