BIG Data & Hadoop Applications in Retail

Slide ‹#›© 2015 BlueCamphor Technologies (P) Ltd. www.skillspeed.com
Applications of BIG Data &
Hadoop in Retail Industries

Introduction to BIG Data
Big data is the term for a collection of data sets so
large and complex that it becomes difficult to
process using on-hand database management tools
or traditional data processing applications
Retail industries generate extremely high volumes of
data due to high churn of transactions & inventory.
These companies can utilize BIG Data insights to
ensure higher profitability.

Applications of BIG Data & Hadoop in Retail Industries
• Create a Comprehensive Detection System for all Consumer Activities
• Brand Sentiment Analysis
• Personalize & Localize Shopping Experiences
• E-Commerce Optimization
• Optimizing Store Layouts
• Optimizing Inventory Status via Predicting Demand Cycles

Applications of BIG Data & Hadoop in Retail
Comprehensive Detection of Consumer Activities
This would involve tracking the exact interaction pattern between the consumer & your
products. In the online sphere, user behavior is co-related with consumer life-cycles and
transactional data. Each & every button clicked by the consumer is tracked, thus, resulting in
the creation of consumer profiles. This helps the retailer to deepen his understanding of
consumers, thus, resulting in greater conversions.
Brand Sentiment Analysis
BIG Data insights provide retailers with instant access to consumer opinion on product launches,
advertising campaigns, competition tactics and in-store shopping experiences.
Social Analytics provides them with real-time opinions & responses. Through this, they can align
consumer outreach programs.
Get Started with BIG Data & Hadoop

Personalize Consumer Shopping Experiences
Retailers can provide discounts based on past shopping preferences, geo-locations & even in-
store behavior of the consumer. Lets say a user spends a lot of time in the clothing section, just
as he is about to walk away, he gets a push-notification on his mobile with a discount coupon,
now wouldn’t that increase sales? BIG Data insights are making this possible. And, retailers are
using this to boost sales.
E-Commerce Optimization
It is essential to understand user behavior on the website so as to optimize sales. BIG Data
insights provide historical & real-time data on user behavior especially interaction paths, basket
analysis, A/B testing & prioritizing product updates. Once this has been understood by the
retailer, they can customize experiences in line with interaction & conversion paths, thus,
increasing sales instantly.

Optimizing Store Layouts
RFID Tags, QR Codes & iBeacon Technology are revolutionizing in-store layouts. These track
user movements & shopping trends so as to ensure that a retailer can understand his consumer
based and accordingly provide relevant in-store experiences, layouts & promotions. Did you
ever wonder why essentials are at the far end & luxury goods at the start? This holds the
answer.
Optimizing Inventory via Predicting Demand Cycles
Which product should I give more emphasis to compare to another product? Which will be my
hottest selling product in May 2015? How can I ensure I don’t have any wasted inventory? For
any retailer, inventory, sales & profitability are the two pillars of his existence. BIG Data analysis
can ensure that they’re always in tandem.

Examples of BIG Data in Marketing
• Google
They’ve got the biggest advertising network in the world today, and this is powered by BIG
Data. For example, you can target all individuals interested in travel & leisure, living in New
York between the age of 18 – 25. Not only this, you can also ensure your advertisement is only
placed on specific chosen websites or topic-themed websites.
• Amazon
Not only are they the biggest eCommerce company in the world, they’ve also got one of the
largest banks of consumer data. Based on this, they’ve created a recommendation algorithm
which suggests relevant products to consumers thus, boosting sales. In addition to this, they’ve
also used to generate personalized offers & marketing campaigns. Next time you see the
product you want waiting for you on their home page, remember, that’s BIG Data.

© 2015 BlueCamphor Technologies (P) Ltd.
How Are Insights Derived from BIG
Data?
Say Hello to Hadoop Development :)

Introduction to Hadoop
Apache Hadoop is a framework that allows the distributed processing of large data sets across clusters of
commodity computers using a simple programming model.
It is an Open-Source Data Management technology with extensive storage and distributed processing.
Hadoop
Characteristics
Flexible
Reliable
Economical
Scalable

Why Should You Learn Hadoop?
• Hadoop is a modern BIG Data processing framework which utilizes distributed computing clusters.
• It can process, manage and store unstructured data with absolute ease.
• Due to its scalability & effectiveness, companies are heavily adopting Hadoop.
• It has become the standard for storing, processing and analyzing big data.
• BIG Data & Hadoop professionals are in extremely high demand.
• This is the first step to becoming a data scientist or data architect.

Reports – 2015
Here are some of the other Reports that convey the same message:
• “It is expected that Hadoop and Big Data Analytics will grow to around $13.9 billion from 2012 to 2017.”
(Markets and Markets Research Report)
• “The Data market currently with the fastest growth are Hadoop and NoSQL software and services.”
(Technology Research Organization, Wikibon)
• “The Big Data market will likely hit $23.8 billion with a 31.7% rise per year.” (IDC Report)
• “Almost 90% organizations have embarked on Hadoop related projects and thus Hadoop skills are in huge
demand.” (According to the Big Data Executive Survey 2013)
• “Companies hiring Hadoop professionals Analytics professionals obtain a 250 percent hike in their
salaries.” (According to Analytics Industry Report)
Gartner had predicted, “Hadoop will be in most advanced analytics products by 2015.” By far and large, this
prediction has turned out to be true. Hadoop is “The Technology” to harness Big Data

Predictions for 2015
According to the Forrester Report:
• A new data economy will arise, Hadooponomics. Due to its vast data prowess, enterprise adoption of
Hadoop will become compulsory. All those companies, which were unsure of adopting Hadoop till 2014,
are bound to adopt it in 2015
• The surge in demand for Hadoop job professionals will be fulfilled by Java professionals & other software
engineers who will upgrade their skills
• The creation of SQL-on-Hadoop options will further enhance usability & adoption
• Due to the introduction of Yarn (Version 2.0), the usage of Hadoop will go beyond analytics. It will
transform into an application platform giving birth to new frameworks in the Hadoop ecosystem
• New Hadoop sources will emerge from organizations like Oracle, HP, Tibco and SAP. Vendors such as Red
Hat, VMware and Microsoft will include Hadoop in their operating Systems

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Course Topics
Module 1
Introduction to Big
Data and Hadoop
Module 2
HDFS Internals, Hadoop
Configurations and
Data Loading
Module 3
Introduction to Map
Reduce
Module 4
Advanced Map Reduce
Concepts
Module 5
Introduction to Pig
Module 6
Advanced Pig and
Introduction to Hive
Module 7
Advanced Hive
Concepts
Module 8
Extending Hive and
HBase Introduction
Module 9
Advanced HBase and
Oozie Introduction
Module 10
Project Set-up
Discussion

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BIG Data & Hadoop Applications in Retail

BIG Data & Hadoop Applications in Retail

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