Mobility: It's Time to Be Available for HER

1,101 views

Published on

In order to meet the needs of the digitally-oriented consumer, retailers need to offer personalized service in real-time. By embracing mobile to deliver an integrated experience to customers, retailers can open new business opportunities.

Yet, for many traditional retailers, providing a seamless experience across mobile and other channels presents challenges due to the limitations of legacy technology infrastructure and the ability to act in ‘real-time’. However, a new class of database technology is emerging that enables retailers to support new business requirements, improve customer experience and reduce cost. In the next session of webinar series - Omni-Channel Retailing: One-Step-at a Time you will learn why more and more retailers and ecommerce players are turning to MongoDB as a choice for their mobile platforms. Based on existing customers you will learn:

How to meet the consumer where she is, whenever she wants - know where she is using geo-spatial services
Engage with her and provide a ‘real-time’ experience, tailored to her expectations - check-her in or ‘check-her out’ at the POS and provide the latest update
Deliver the most up-to-date information to your associates so they are empowered to serve the consumer when she engages with your brand - deliver the latest inventory information via mobile app to your employee
In this discussion, you learn the latest in business techniques and how you can take advantage of MongoDB to deliver another piece of Omni-channel imperative - meeting your customer - at her convenience.

Published in: Technology, Business
0 Comments
5 Likes
Statistics
Notes
  • Be the first to comment

No Downloads
Views
Total views
1,101
On SlideShare
0
From Embeds
0
Number of Embeds
472
Actions
Shares
0
Downloads
18
Comments
0
Likes
5
Embeds 0
No embeds

No notes for slide
  • The state of retail today…

    2014 is a critical year, where old ways are no longer sufficient.

    After 20 years in retail, I have realized the important of change. I too have made a change, realizing that many things are coming together this year.

    it is time to adapt….
  • Who we are
  • 2 parts of the agenda today:

    The Retail Hype
    The need
    Why retailers and companies are working with MongoDB… to meet the needs of commerce today

    2nd half will be the technical explanation of why MongoDB is suited for today’s selling environment
    With a deep dive on one application area, the need for product information

    You may ask questions at any time and we will save 10 minutes at the end of the session for QA
  • We do have a long list of clients already

    We have many named customers and additional customers who are willing to share their stories in an anonymous fashion.

    But what we have learned over the years of being open source, is that many people adopt and use our software and we find out much later on!
  • At the heart of this change is data.

    Data is the currency of the modern economy.

    90% of the world’s data was created in the last two years. Think about that. 90% of all data, in the history of humanity, didn’t exist two years ago.

    80% of the data in your organization is unstructured. 80% of your information doesn’t fit in your database.

    And your unstructured data is growing twice as fast as your structured data.

    This sea of unwieldy data around us has been given a name by the media – Big Data.

    Raise your hand if you’ve heard the term “big data”. I even heard a story about it on NPR earlier this year!

    Here’s the surprise. Big data, it turns out, really isn’t about “big.” We’ll get to that in just a moment.
  • The reality of business today is that is it ‘mobile’.
    To quote a statement by Mickey Drexler (of J Crew)… omni-channel isn’t so important, rather, it’s the fact that I have to assort 100 million mobile phones with a local and relevant store!

    That sounds important to me!

    Now, mobile is multi-faceted, because it is required for customers and also for employees.

    Employees represent the ‘face of the brand’ and should be empowered to support the customer with as much as SHE already knows and can access… as well as ideally act as a selling agent, rather than a check-out clerk!

    Lastly, add another dimension and engage with the customer, based upon her permission of course, to reward her sharing information about where she is and what she is experiences… A perfect blend to cross to social.

    Answer customer needs in real-time
    Provide control of their time

    Employee should be empowered to solve customer challenges and opportunities whatever they maybe, wherever both parties may be (i.e. phone, store) !
  • Product is and will remain a cornerstone of retailing. It is goods and services that are packaged and sold.

    In the digital era, consumers have ‘perfect information’… both about your product as well as your competitor… and even a competitors you had not identified. The truth is products can be sold across the globe today… and the market is no longer restricted to a reasonable selling region / nor mailing area.

    In this, the need to provide the latest information on your product is critical.

    The guiding vision on this is the creation of the ‘perfect (meaing complete) product’ information.

    It starts with basic information:
    Information
    Selling price
    Availability
    To location in the supply chain
    Across an enterprise

    While that sounds easy, it is not.

    And it becomes further complicated if we want to see it it
  • No two shoppers are exactly the same

    We need to understand and service the needs of customers, both identified and unidentified
    The profile is critical to delivering relevant service

    IF and when a customer chooses to identify themselves, then messaging moves to personalization

    Many means exist to actually identify those who wish:
    - loyalty cards
    - RFID chips
    “iBeacon’
    Bluetooth, mobile apps
    - fingerprint, facial recognition etc…. Internet of things)


    Personalization drives relevant and targeted experience, which in turn offers loyalty
    As we bring together the view of customer, the information can be leveraged to drive fundamental business decisions on inventory, choice, services nad more personal promotions tied to loyalty
  • No two shoppers are exactly the same
    Personalization drives relevant and targeted experience, which in turn offers loyalty
    As we bring together the view of customer, the information can be leveraged to drive fundamental business decisions on inventory, choice, services and more personal promotions tied to loyalty.

    For me, this needs it is the hardest point to achieve where OPERATIONS MEETS ANALYTICS…
    Where ALL THE GREAT INFORMATION, we have been striving to obtain, understand and analyze, sits in peril of becoming IRRELEVANT, because we just can’t access it at the time and place we need it….

    Tailored & relevant information to an individual :

    Messaging
    Content
    Incentives (which must be optimized)
    Pricing
  • Commerce practices are changing and consumers have already changed.
    The focus is how best to adapt to modern requirements.

    And this is why we now have ….so the next question is:

    Why MongoDB to help address this new seamless digital consumer?

  • Uses on MongoDB for following Business Use Case:
    Ecommerce (MOBILE PLATFORM)
    6. Content management delivery



    Wal*Mart.com enables its mobile platform on backdrop of MongoDB and survived a vigorous Black Friday and  

    This is the mobile site for .com
    Focused on full capabilities of a web site on a mobile platform;
    Requires full database capabilities, not just interaction capture
    Pulls and pushes product content

  • Uses on MongoDB for following Business Use Case:
    Ecommerce (MOBILE)



    A recent customer of MongoDB
    They do all their development in MongoDB
    It a low cost and highly flexible development environoment
    That provides the full capabilities of ‘a database’ including transaction processing
  • Launching an app in the worlds 2nd highest population – 1.3bn (17%), need to know it can scale
    Hike is India’s fastest growing messaging app – joint venture between Bharti and Softbank – 2 huge multinational companies
    Using MongoDB, scaled to over 15m users in 9 months. Key for them
    – MongoDB sharding and replica sets for scale and availability
    – MongoDB query framework for running complex analytics
    – MongoDB subscriptions for support, best practices and advanced security features
  • Mobility: It's Time to Be Available for HER

    1. 1. Mobility: Time to be available for HER! Enabling Omni-Channel Retailing #mongodbretail Global Business Architect, MongoDB Director, Solution Architecture, MongoDB Edouard Servan-Schreiber Rebecca Bucnis
    2. 2. “mobile is a lot closer to TV than it is to desktop” - Mark Zuckerberg “mobile - it’s like assorting 100,000 stores every minute, in the hand of customers, every day…” - Mickey Drexler (paraphrased@ World Retail Congress – Oct 2013)
    3. 3. Presenters Rebecca Bucnis Global Business Architect - Business Strategy - Former Retailer Amsterdam, The Netherlands rebecca.bucnis@mongodb.com @rebeccabucnis Edouard Servan-Schreiber Director, Solution Architecture - Delivery of Solutions, Pre-Sales - North America New York, NY edouard@mongodb.com @edouardss @rebeccabucnis @edouardss
    4. 4. • Introduction: Mobile Changes Everything • 3 Mobile Mandates for Omni-Channel Retailing • Why Use MongoDB for Mobile? • Technical Deep-Dive – Going Mobile • Customer Examples • Wrap Up & Next Steps Agenda
    5. 5. Introduction
    6. 6. The shopping process is fully mobile: From awareness, to shopping, to check-out, to information source Retail has evolved
    7. 7. 7 [Retail] Data has changed • 90% of the world’s data was created in the last two years • 80% of enterprise data is unstructured • Unstructured data growing 2x faster than structured Sources: IBM, Gartner 2012
    8. 8. 8 Retailers – Stuck in the Past? More and More Devices & Channels Don’t Understand Customers Source Systems are Siloed Hard to Adapt To Change Unable to Execute in Real-Time
    9. 9. Mandate #1. Prepare for Time, Geo-Spatial Selling Informed, Digital Consumer Empowering Employees Theme: Relevance and convenience Challenge: Information availability & expectations MongoDB Customers: Foursquare, 02, Retail giants, Verifone, Parse Three Mobile Mandates
    10. 10. Single View of Business ≅ “Endless Aisle” Theme: Product details & location up-to-minute Challenge: Multiple vendors & legacy silo systems MongoDB Customers: Staples, The Gap, Dillard’s, Bol.com Three Mobile Mandates
    11. 11. Mandate #2. Find Her and ‘Know Her’ Theme: Selling Stage and ‘Persona’ Challenge: Device proliferation, legacy silos MongoDB Customers: Foursquare, Panera, ASOS, Sitecore, Pearson Three Mobile Mandates
    12. 12. Mandate #3. Tailor the Message Theme: Every customer is unique Challenges: Real-time delivery, insufficient connectivity to analytic information silos MongoDB Customers: Otto Germany, ASOS, Sitecore, Banking giants Three Mobile Mandates
    13. 13. Then In Store/Web Engage Anywhere Check-out Help Selling Advice General Adverts Tailored Messages Now Enabling agile delivery of seamless interactions & selling
    14. 14. 14 Yesterday’s Tool for Today’s Data?
    15. 15. 15 MongoDB Strategic Advantages Horizontally Scalable -Sharding Agile Flexible High Performance & Strong Consistency Application Highly Available -Replica Sets { customer: “roger”, date: new Date(), comment: “Spirited Away”, tags: [“Tezuka”, “Manga”]}
    16. 16. Notions RDBMS MongoDB Database Database Table Collection Row Document Column Field
    17. 17. 17 Customer View in a Document Relational MongoDB { customer_id : 1, name : "Mark Smith", city : "San Francisco", location: [ <long> , <lat> ] , orders: [ { order_number : 13, store_id : 10, date: “2014-01-03”, products: [ {SKU: 24578234, Qty: 3, Unit_price: 350}, {SKU: 98762345, Qty: 1, Unit_Price: 110} ] }, { <...> } ] } CustomerID First Name Last Name City 0 John Doe New York 1 Mark Smith San Francisco 2 Jay Black Newark 3 Meagan White London 4 Edward Danields Boston Order Number Store ID Product Customer ID 10 100 Tablet 0 11 101 Smartphone 0 12 101 Dishwasher 0 13 200 Sofa 1 14 200 Coffee table 1 15 201 Suit 2
    18. 18. { customer_id : 1, name : "Mark Smith", city : "San Francisco", location: [ <long> , <lat> ] , Preferences: [ <category1>, <category2>,…], Shopping-cart: [ {sku: …., count: ..}, …. ], Next-best-offers: [ <offer1>, <offer2>, <offer3> ] } Customer View ready for Mobility
    19. 19. { customer_id : 1, name : "Mark Smith", city : "San Francisco", location: [ <long> , <lat> ] , Preferences: [ <category1>, <category2>,…], Shopping-cart: [ {sku: …., count: ..}, …. ], Next-best-offers: [ <offer1>, <offer2>, <offer3> ] } Customer View ready for Mobility Key for the document
    20. 20. { customer_id : 1, name : "Mark Smith", city : "San Francisco", location: [ <long> , <lat> ] , Preferences: [ <category1>, <category2>,…], Shopping-cart: [ {sku: …., count: ..}, …. ], Next-best-offers: [ <offer1>, <offer2>, <offer3> ] } Customer View ready for Mobility Key for the document Allows geospatial searches and real time updates of location
    21. 21. { customer_id : 1, name : "Mark Smith", city : "San Francisco", location: [ <long> , <lat> ] , Preferences: [ <category1>, <category2>,…], Shopping-cart: [ {sku: …., count: ..}, …. ], Next-best-offers: [ <offer1>, <offer2>, <offer3> ] } Customer View ready for Mobility Key for the document Allows geospatial searches and real time updates of location Critical status information to serve her what she wants at the right place and time
    22. 22. { store_id: 342 , SKU: 4839475638 , prod_description: <...> , location: [ <longitude> , <latitude> ] , promotion: { discount: 25, start: <date>, end: <date> } , Attributes: { color: ... , size: ... , ... } , Stock_level: 10, Stock_available: 7, Last_stock_udpate: ‘2014-03-02:13:02:36’ reorder_level: 5 Product View ready for Mobility
    23. 23. West DC Primary Primary Primary Shard “West” Shard “Center” Shard “East” Center DC East DC Single View of Product Cluster Topology
    24. 24. West DC Primary Primary Primary Shard “West” Shard “Center” Shard “East” Center DC East DCPrimary node replicates data to all secondaries in the shard as fast as possible Single View of Product Cluster Topology
    25. 25. West DC Primary Primary Primary Shard “West” Shard “Center” Shard “East” Center DC East DC Center Shard contains all the data for stores in Center region “Single View” Cluster Topology
    26. 26. West DC Primary Primary Primary Shard “West” Shard “Center” Shard “East” Center DC East DC Center Shard contains all the data for stores in Center region Local writes enable very high throughput of updates “Single View” Cluster Topology
    27. 27. West DC Primary Primary Primary Shard “West” Shard “Center” Shard “East” Center DC East DC Each region is able to see the data of all stores from its “local” DC. “Single View” Cluster Topology
    28. 28. West DC Primary Primary Primary Shard “West” Shard “Center” Shard “East” Center DC East DC Two nodes in each DC for painless maintenance with zero downtime “Single View” Cluster Topology
    29. 29. West DC Primary Primary Primary Shard “West” Shard “Center” Shard “East” Center DC East DC Even if a DC goes out, the database remains fully available thanks to automated failover “Single View” Cluster Topology
    30. 30. West DC Primary Primary Primary Shard “West” Shard “Center” Shard “East” Center DC East DC Data set can grow, shards can add up, without any rewrite of the application code “Single View” Cluster Topology
    31. 31. Customer Examples: Retail Giants • Mobile platform for .com site of retail giant •Supports ongoing demand for mobile selling; revenue increasing •Manage heavy loads and scaled for Black Friday without issue
    32. 32. Customer Examples: • Application provider • Mobile retailing applications • Working to provide hand- held check-out capabilities via mobile • Chose MongoDB as the platform to run their applications • Continue to develop and maintain capabilities, moving to customer loyalty
    33. 33. •A social messaging platform •Provides social and geographic context, with real-time analytics •Built in 9 months on MongoDB •Support full view of customers now at 15 million Customer Examples
    34. 34. •A social platform •Provides social and geographic context to people •Entertaining them and rewarding them for business •Manage check-ins and capture & distribute content with MongoDB Customer Examples
    35. 35. 1. Assess your retail data and stage 2. Join us and Engage: • Big Data Analytics - London – 19 June • ROI: Innovation in Ecommerce – Webinar 11 June • MongoDB World - New York – June 23-25 • Customer Experience Exchange – London 2-3 July 3. Start one step at a time - with “prototype” capabilities What’s Next?
    36. 36. Questions?
    37. 37. Thank You! @rebeccabucnis @edouardss
    38. 38. Resources White Paper: Big Data: Examples and Guidelines for the Enterprise Decision Maker http://www.mongodb.com/lp/w hitepaper/big-data-nosql Recorded Webinar Series: Thrive with Big Data http://www.mongodb.com/lp/bi g-data-series Recorded Webinar: What’s New with MongoDB Hadoop Integration http://www.mongodb.com/pres entations/webinar-whats-new- mongodb-hadoop-integration Documentation: MongoDB Connector for Hadoop http://docs.mongodb.org/ecosy stem/tools/hadoop/ White Paper: Bringing Online Big Data to BI & Analytics http://info.mongodb.com/rs/mo ngodb/images/MongoDB_BI_An alytics.pdf Subscriptions, support, consulting, training https://www.mongodb.com/pro ducts/how-to-buy Resource Location

    ×