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.

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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

ScalableGet Started with BIG Data & Hadoop



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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Introduction to Big Data and Hadoop

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HDFS Internals, Hadoop Configurations and

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Introduction to Map Reduce

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Advanced Map Reduce Concepts

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Introduction to Pig

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Advanced Pig and Introduction to Hive

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Advanced Hive Concepts

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Extending Hive and HBase Introduction

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Advanced HBase and Oozie Introduction

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Project Set-up Discussion




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