Webinar: Realizing Omni-Channel Retailing with MongoDB - One Step at a Time

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Let’s face it – the consumer is in control. Retailers, this means – you need to be constantly prepared to listen, speak relevantly and act personally. To meet modern demands and expanding selling channels, retailers need to deploy seamless product information with endless aisle, empowered associates turned sales agents – whenever, to whatever medium they want, however the customer wants.

Knowing today’s realities, most databases systems are rigid and difficult to change, making it a challenge to provide personalized information to customers, wherever they want - right now.

MongoDB is an agile, game-changing technology that provides a real-time view of business with based upon consumer requirements. In this webinar you will learn how leading global retailers create unique business value using MongoDB such as:

1. Real-time view of product information
2. Relevant view of the customer from whichever channel they engage
3. Smart mobile applications that understands the customer's most recent activities

Once in place, retailers continue to leverage the data views to extend their business information across other business areas.

Learn about retailers embracing this approach to meet today’s business needs with MongoDB. As part of a mini-series, led by Rebecca Bucnis, global business architect @MongoDB, we will share how you can get started on your way to Omni-Channel retailing, one step at a time.

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Webinar: Realizing Omni-Channel Retailing with MongoDB - One Step at a Time

  1. 1. Enabling Omni-Channel Retailing: One Step at a Time #mongodbretail Global Business Architect, MongoDB Director, Solution Architecture, MongoDB Edouard Servan-Schreiber Rebecca Bucnis
  2. 2. “it is not the strongest that survives, nor the most intelligent that survives; it is the one that is most adaptable to change…” - Charles Darwin
  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 • 5 Guiding Principles for Omni-Channel Retailing • Customer Examples • Why Use MongoDB for Omni-Channel? • Technical Deep-Dive – Product Information • Wrap Up & Next Webinar Agenda
  5. 5. Introduction
  6. 6. Source: IDC, World wide Retail Industry 2013 Dec 2013 Shoppers are Instrumented with mobile devices, Informed with access to the Internet, Interconnected in social communities, In-place always in stores or wherever else the shoppers might be and Immediate in their ability to take action. Consumer in Control of Retail
  7. 7. Introduction Technology/ Infrastructure The Store Brand (the experience) People/ Processes Retail Business is evolving across many dimensions
  8. 8. 1. Single View of Customer = Consumer 360° Theme: Understand complete view of customer Challenge: Device proliferation, legacy silo systems 5 Guiding Principles for Omni-Channel
  9. 9. 2. Single View of Product ≅ “Endless Aisle” Theme: Product details & location up-to-minute Challenge: Multiple vendors & legacy silo systems 5 Guiding Principles for Omni-Channel
  10. 10. 3. Time, Space & Geo-Aware Selling = Mobility Digital Consumer Empowering Employees Theme: Relevance and convenience Challenge: Information availability & expectations 5 Guiding Principles for Omni-Channel
  11. 11. 4. Personalization: Real-time Content with relevant messaging Theme: Every customer is unique Challenges: Heavy, varied content, insufficient access to analytic information silos 5 Guiding Principles for Omni-Channel
  12. 12. 5. Social Selling Experience = Entertainment and Believability Theme: “The Brand is a Platform (not a store)” Challenge: Capture & Share appropriate details 5 Guiding Principles for Omni-Channel
  13. 13. •Retail Insurance •150 years of history and policy data, 70+ source systems •Unable to consolidate view of customer over multiple years •Created “The Wall” for 360 view of customer Customer Examples
  14. 14. •www.otto.de •Largest web property for female and child clothing in Europe •Crate N Barrel in the USA •Dynamic Product Views •Dynamic web pages Customer Examples
  15. 15. •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
  16. 16. Then Product Customer Focus Inventory Endless Aisle Drive to Store Mobility Weekly Ads Personalization Vendor Focus Social Now
  17. 17. 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”]}
  18. 18. Documents let you build your data to fit your application Relational MongoDB { customer_id : 1, name : "Mark Smith", city : "San Francisco", 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
  19. 19. Notions RDBMS MongoDB Database Database Table Collection Row Document Column Field
  20. 20. { store_id: 342 , SKU: 4839475638 , prod_description: <...> , location: [ <longitude> , <latitude> ] , Attributes: { color: ... , size: ... , ... } , Stock_level: 10, Stock_available: 7, Last_stock_udpate: ‘2014-03-02:13:02:36’ reorder_level: 5 } “Single View of Product” Schema
  21. 21. { store_id: 342 , SKU: 4839475638 , prod_description: <...> , location: [ <longitude> , <latitude> ] , Attributes: { color: ... , size: ... , ... } , Stock_level: 10, Stock_available: 7, Last_stock_udpate: ‘2014-03-02:13:02:36’ reorder_level: 5 } “Single View of Product” Schema Key for the document
  22. 22. { store_id: 342 , SKU: 4839475638 , prod_description: <...> , location: [ <longitude> , <latitude> ] , Attributes: { color: ... , size: ... , ... } , Stock_level: 10, Stock_available: 7, Last_stock_udpate: ‘2014-03-02:13:02:36’ reorder_level: 5 } “Single View of Product” Schema Key for the document Allows geospatial searches for nearby availability
  23. 23. { store_id: 342 , SKU: 4839475638 , prod_description: <...> , location: [ <longitude> , <latitude> ] , Attributes: { color: ... , size: ... , ... } , Stock_level: 10, Stock_available: 7, Last_stock_udpate: ‘2014-03-02:13:02:36’ reorder_level: 5 } “Single View of Product” Schema Key for the document Allows geospatial searches for nearby availability Custom Attributes For this SKU
  24. 24. { store_id: 342 , SKU: 4839475638 , prod_description: <...> , location: [ <longitude> , <latitude> ] , Attributes: { color: ... , size: ... , ... } , Stock_level: 10, Stock_available: 7, Last_stock_udpate: ‘2014-03-02:13:02:36’ reorder_level: 5 } “Single View of Product” Schema Key for the document Allows geospatial searches for nearby availability Custom Attributes For this SKU Easy to modify values to maintain operational view of inventory
  25. 25. West DC Primary Primary Primary Shard “West” Shard “Center” Shard “East” Center DC East DC Single View of Product Cluster Topology
  26. 26. 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
  27. 27. 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 of Product Cluster Topology
  28. 28. 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 of Product Cluster Topology
  29. 29. 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 of Product Cluster Topology
  30. 30. 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 of Product Cluster Topology
  31. 31. 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 of Product Cluster Topology
  32. 32. 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 of Product Cluster Topology
  33. 33. •Supply chain service for online retailers •Automates supply for retailers, powered by MongoDB •Manages the complexity of multiple data types and various systems •Enables complex matching and joins Customer Examples
  34. 34. • the digital classified ads in over 50 countries •posting and accessing, in real- time, the ads as called by potential buyers •Manage heavy content with MongoDB Customer Examples
  35. 35. Omni-Channel Services Omni-Channel Workshop: Delivering Consistency in your business • Educational service session to focus in on “seamless” information Assessment & Prioritization Services • An investigative engagement to assess your data availability & needs Roadmap Services • Engagement to deliver a joint roadmap for technology enabled Omni-Channel capabilities
  36. 36. In the demand for seamless Retailing, where waiting one minute means losing revenue and customers (to the next best e-competitor), MongoDB enables game-changing technology that offers: 1. Provides a contextual data layer, enabling a broad view of your business 2. Rapid time to market – particularly channel blending 3. Flexibility to meet the demands of consumers and business today…as well as tomorrow Enabling the agile delivery of seamless retailing MongoDB Retail Value Prop
  37. 37. Questions?
  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
  39. 39. Join us again! Webinar #2: “Delivering A Complete View of Customer” When: Wednesday, April 16 Link: www.mongodb.com/webinar
  40. 40. Thank You! @rebeccabucnis @edouardss

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