#mongodbretail

Senior Solutions Architect, MongoDB Inc. Norberto Leite

Expanding Retail Frontiers with MongoDB

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•  Norberto Leite •  Solutions Architect

–  Technical Account Manager –  Engineer

•  Barcelona, Spain •  norberto@mongodb.com

•  @nleite

Presenter Notes

Phoenician  saying  

“The  art  of  commerce  is  to  buy  goods  for  5  when  they  are  worth  10  and  sell  for  10  what  is  worth  5”  

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•  Introduction •  Retail Challenges •  Why MongoDB

•  Common Use Cases •  References

Agenda

Introduction

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MongoDB

The leading NoSQL database

Document Database

Open-Source

General Purpose

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To provide the best database for how we build and run apps today

MongoDB Vision

Build –  New and complex data –  Flexible –  New languages –  Faster development

Run –  Big Data scalability –  Real-time –  Commodity hardware –  Cloud

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Agile

MongoDB Overview

Scalable

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4,000,000+ MongoDB Downloads

100,000+ Online Education Registrants

20,000+ MongoDB User Group Members

20,000+ MongoDB Days Attendees

15,000+ MongoDB Management Service (MMS) Users

Global Community

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Data Hub User Data Management

Big Data Content Mgmt & Delivery Mobile & Social

MongoDB Solutions

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•  10 of the Top Financial Services Institutions •  10 of the Top Electronics Companies •  10 of the Top Media and Entertainment

Companies •  8 of the Top Retailers

•  6 of the Top Telcos •  5 of the Top Technology Companies •  4 of the Top Healthcare Companies

Fortune 500 & Global 500

Retail Challenges

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•  Old School –  Evolving Landscape

–  Customer Loyalty

–  New Competitors

–  New Markets

•  Avant-garde –  Seamless Experience

–  Online + Offline

–  Buying Patterns

–  Predict Trends

Challenges

http://www.blendwerk-­‐freiburg.de/wp-­‐content/uploads/2010/08/jai-­‐vu-­‐jai-­‐lu-­‐kukuxumusu-­‐ovolution.jpg  

Evolving  Landscape  

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•  Extended Offering •  Home delivery •  Online only supermarkets

–  Lots of new companies –  Lots of traditional retailers populating the web

•  Physical stores as complements –  Show rooms –  Pick up locations

Evolving Landscape

http://s.wsj.net/media/cards_E_20111020111733.jpg  

Customer  Loyalty  

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•  Understand your customer •  “Customize” what customer needs and wants

–  And when he want’s it!

•  Reward the your “fans”

•  Make sure everyone knows they have been rewarded –  Gamification is a strong powerful driver! –  points + points + points

Customer Loyalty

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•  How easy it is nowadays to open a web shop? •  How many are approaching a need that you do

not attend?

•  Is your market share growing or shrinking? –  Time to get a Vietnamese translator ?

•  How fast can I react to habits and perception change ?

New Competitors and Markets

http://www.sinbadesign.com/wp-­‐content/uploads/2011/07/Tesco-­‐Homeplus-­‐Subway-­‐Virtual-­‐Store-­‐in-­‐South-­‐Korea01.jpg  

Seamless  Experience  

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•  It’s all about knowing your Customer •  Make better customized offers •  Avoid useless promotions

–  Not valuable for your customers –  Degradation of your brand

•  Make use of the network effect

•  Analytics anyone?

Buying Patterns + Trends Prediction

Why MongoDB?

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•  Flexible Datastore •  Horizontal Scalability •  Multi Platform

•  Polyglot •  Cost Efficient

•  Large Community •  Talent War?

MongoDB = Good Stuff

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RDBMS

Flexible Datastore

MongoDB

{ _id : ObjectId("4c4ba5e5e8aabf3"),

employee_name: "Dunham, Justin", department : "Marketing",

title : "Product Manager, Web", report_up: "Neray, Graham",

pay_band: “C", benefits : [

{ type : "Health", plan : "PPO Plus" },

{ type : "Dental", plan : "Standard" }

] }

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Horizontal Scalability

Auto-Sharding

•  Increase capacity as you go

•  Commodity and cloud architectures

•  Improved operational simplicity and cost visibility

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Multi Platform

http://images7.alphacoders.com/333/333230.jpg  

Polyglot  

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Shell Command-line shell for interacting directly with database

Polyglot

Drivers Drivers for most popular programming languages and frameworks

> db.collection.insert({product:“MongoDB”, type:“Document Database”}) > > db.collection.findOne() {

“_id” : ObjectId(“5106c1c2fc629bfe52792e86”), “product” : “MongoDB” “type” : “Document Database”

}

Java

Python

Perl

Ruby

Haskell

JavaScript

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Developer/Ops Savings •  Ease of Use •  Agile development •  Less maintenance

Hardware Savings •  Commodity servers •  Internal storage (no SAN) •  Scale out, not up

Software/Support Savings •  No upfront license •  Cost visibility for usage growth

Cost Efficient

DB Alternative

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Cost Efficient

Dev. and Admin

Compute – Scale-Up Servers

Storage - SAN

Dev. and Admin

Compute – Scale-Up Servers

Storage - SAN

http://i.smimg.net/13/33/usain-­‐bolt_1.jpg  

Race  for  Talent  

Common Use Cases

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•  Rich Catalog Management •  Customer Data Management •  Customer Interaction and Sentiment Analysis

•  Digital Coupons •  Inventory Management

•  Demand Chain Optimization •  Real-Time Price Optimization

Use Cases

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•  Flexibility –  External + Internal

information –  Evolving Product Data –  Different Buying

Process –  Funnels –  Promotions &&

Campaigns –  Hierarchy of Products

and Sections

User Preferences

Product Insights

References

Product Details

Commercial Positioning

Rich Catalog Management

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•  Multiple Geographies •  Online + Offline •  Engagement Process

•  Preferences •  Permissions

•  Privacy and other regulation

Preferences Permissions

Regional Data Engagements

Customer

Customer Data Management

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•  Realtime analytics –  Aggregation Framework –  MapReduce

•  KPI calculation –  CTR –  Bounce Rates –  Conversion Rates

•  Automation of Price Margins

•  DSL

Web metrics

Availability

Conversion Rate

•  Per User • Global •  Per Product

•  Inventory • Catalog • Margin

•  Per Section •  Per Unit •  Per Segment

Realtime Price Optimiation

Optimum Price

References

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MongoDB enables Gilt to roll out new revenue-generating features faster and cheaper

Case Study

Problem Why MongoDB Results

• Monolithic Postgres architecture expensive to scale

•  Limited ability to add new features for different business silos

•  Spiky server loads

•  Dynamic schema makes it easy to build new features

•  Alignment with SOA

•  Cost-effective, horizontal scaling

•  Easy to use and maintain

•  Developers can launch new services faster, e.g., customized upsell emails

•  Stable, sub-ms performance on commodity hardware

•  Reduced complexity yields lower overhead

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Serves variety of content and user services on multiple platforms to 7M web and mobile users

Case Study

Problem Why MongoDB Results

• MySQL reached scale ceiling – could not cope with performance and scalability demands

• Metadata management too challenging with relational model

•  Hard to integrate external data sources

•  Unrivaled performance

•  Simple scalability and high availability

•  Intuitive mapping

•  Eliminated 6B+ rows of attributes – instead creates single document per user / piece of content

•  Supports 115,000+ queries per second

•  Saved £2M+ over 3 yrs.

•  “Lead time for new implementations is cut massively”

• MongoDB is default choice for all new projects

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Delivers agile automated supply chain service to retailers powered by MongoDB

Case Study

Problem Why MongoDB Results

•  RDBMS poorly-equipped to handle varying data types (e.g., SKUs, images)

•  Inefficient use of storage in RDBMS (i.e., 90% empty columns)

•  Complex joins degraded performance

•  Document-oriented model less complex, easier to code

•  Single data store for structured, semi-structured and unstructured data

•  Scalability and availability

•  Analytics with MapReduce

•  Decreased supplier onboard time by 12x

• Grew from 400K records to 40M in 12 months

•  Significant cost reductions on schema design time, ongoing developer effort, and storage usage

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Leading Organizations Rely on MongoDB

How do we help?

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MongoDB Business Value

Enabling New Apps Better Customer Experience

Lower TCO Faster Time to Market

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MongoDB Products and Services

Training Online and In-Person for Developers and Administrators

MongoDB Management Service (MMS) Cloud-Based Suite of Services for Managing MongoDB Deployments

Subscriptions MongoDB Enterprise, MMS (On-Prem), Professional Support, Commercial License

Consulting Expert Resources for All Phases of MongoDB Implementations

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For More Information

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Case Studies mongodb.com/customers

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