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Using Big Data, Social Mining in Value Chain Planning to reduce Operational Cost

Using Big Data, Social Mining in Value Chain Planning to reduce Operational Cost. Kiran Saindane - Principal Product Strategy Manager, Oracle . Salil Amonkar - Director Consulting Services, Bodhtree . Manju Devadas - SVP Business Practice, Bodhtree. Program Agenda – The Big Questions.

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Using Big Data, Social Mining in Value Chain Planning to reduce Operational Cost

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  1. Using Big Data, Social Mining in Value Chain Planning to reduce Operational Cost Kiran Saindane- Principal Product Strategy Manager, Oracle.Salil Amonkar- Director Consulting Services, Bodhtree . Manju Devadas- SVP Business Practice, Bodhtree
  2. Program Agenda – The Big Questions What is Big Data ? Is Big Data important for Supply Chain Planning? How to overcome Challenges in using Big Data? What are the Big Data Opportunities and Use Cases in Planning? Which Solutions enable Big Data?
  3. Safe Harbor Statement The following is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, and timing of any features or functionality described for Oracle’s products remains at the sole discretion of Oracle.
  4. What is Big Data ? SOCIAL BLOG SENSOR VARIETY VELOCITY VOLUME New Orders, Order Changes, Inventory,… Shipments, POS, Store Forecasts, … ERP, Syndicated Data, Sensor, Social, Blogs, GPS, …
  5. The World is Making a Digital Copy of Itself 90% Of the World’s Data Has Been Created in the Last 2 Years
  6. Is Big Data important for Supply Chain Planning? Survey Results THE NUMBER OF SUPPLY CHAIN EXECUTIVES WHO ARE CURRENTLY IMPLEMENTING OR CONSIDERING BIG DATA PROJECTS DEMAND PLANNING SUPPLY CHAIN VISIBILITY SALES & OPERATIONS PLANNING WHERE WILL THE GREATEST SUPPLY CHAIN BIG DATAROIBE FOUND ? TOP 3 REASONS FOR INVESTING IN BIG DATA A NEED TO MOVE TOWARDS REAL-TIME DECISION MAKING AS OPPOSED TO BASING DECISIONS ON HISTORICAL DATA SIGNIFICANT BENEFITS TOWARDS IMPROVING SUPPLY CHAIN EFFICIENCY SIGNIFICANT BENEFITS TOWARDS REDUCING SUPPLY CHAIN COSTS Source: Infographic based on Supply Chain Big Data Report 2013, by eyefortransport . Published Feb 2013
  7. Big Data Opportunities in Planning Demand and Trade Planning Supply Chain Planning and Visibility Sales & Operations Planning Analyze enterprise-wide supply chain plan by combining demand, supply, financial plans Simulate and compare scenarios while making strategic decisions Mitigate risk based on supplier, partner news Forecast based on downstream data Forecast using Weather intelligence, Price changes Adjust NPI and Promotion plans based on real-time POS data, Social conversations Respond real-time to demand changes, supply disruptions Adjust supply plan based on part availability, supplier stability, performance insights from the web
  8. Big Data Challenges Speed and Scalability Faster Decision-making Timely and Actionable Insight Business Foresight Big Data ImproveBusiness Performance Data Visualization
  9. Oracle Value Chain Planning New Overcome Big Data Challenges Faster Decision-making Speed and Scalability Big Data ImproveBusiness Performance Data Visualization
  10. Oracle Value Chain Planning Plan entire supply chain, daily, at store-level Faster Decision-making Daily store-level planningbased on high-volume consumption data Speed and Scalability ImproveBusiness Performance Data Visualization
  11. Oracle Value Chain Planning Visualize data, detect patterns and inter-relations Faster Decision-making Advanced graphical analysis Speed and Scalability ImproveBusiness Performance Data Visualization
  12. Oracle Value Chain Planning Simulate near real-time to make confident decisions Faster Decision-making Speed and Scalability Near real-time analysis and comparison of plan scenarios ImproveBusiness Performance Data Visualization
  13. Oracle Value Chain Planning Sales & Operations Planning Tactical Plan Analysis Improve business performance via forward-looking KPIs Faster Decision-making Speed and Scalability Service Analysis Supply Chain Risk Analysis Improve Business Performance Data Visualization
  14. Oracle Value Chain Planning Customers Retail Stores COLLABORATION SERVICES Suppliers Distribution Centers Integrated Planning transforms Insight into Foresight and creates Business Value from Big Data both Structured and Unstructured Contract Manufacturers Carriers Demand Sensing Value Chain Networks Planners Analysts INTEGRATION SERVICES Asset Intensive and Parts Planning Strategic Planning and Postponement Planning Data Management Scenario Planning & Analytics Engineered Systems & Solutions Planning and Optimization Hyperion Legacy Systems Supply and Distribution Planning VIDEO Siebel Demand and Trade Management Sales and Operations Planning E-Business Suite PeopleSoft JD Edwards
  15. Big Data Opportunities, Use Cases and Solution
  16. Traditional Focus (Marketing & Sales) E2E Value Chain Focus Customers/ Partners Customer/Partner Preferences Supply Chain Activities Enterprise Supply Chain Missed Opportunities ! Partners Internal Manufacturing Sales/Planning Supply Chain Partners NPI VARS and Distributors Extending focus on using Big Data and Social to e2e value chain leads to productivity and increased enterprise growth Customer Community Missed opportunities for improved enterprise growth and productivity
  17. Big Data DrivenImprovements Big Data & Social drives Value Chain Management Demand Optimization Big Data Analytics and Social Mining combined with Intelligent search enables customer preferences to set factors for accurate demand forecasts Supply Chain cost optimization Use Big Data and Intelligent search to mine Supply Chain information and optimize costs while maintaining scalability for growth Supply Chain Risk Mgmt Use insight from Supply Chain activities to minimize disruptions by leveraging these to feed into Sales and Operations Planning and Strategic Network Optimization Retailer manages demand spurts High Tech company awards suppliers for reducing costs Distributor avoids costly Supply Chain Disruptions Results
  18. Higher Profits Satisfied Customers Integrated Planning With VCP Insight from Big Data Social Mining Market/Customers Accurate Demand forecast Big Data-Social based Value Chain Solutions Optimized Supply Chain Cost Early Identification of Constraint & Investment Decisions Customer Preferences Relevant Insight Improved Visibility TM Demand Driven Value Chain Integrated Business Planning Basis for accurate ROI Results more in line with expectations Traditional focus-Marketing/Sales only Decisions do not take into account operational constraints limitations Difficult to predict ROI Results do not meet expectations
  19. Sample Solution Architecture - ORACLE Metadata Reference data Transaction Aggregates Custom Data Data Integration Integrated Analytics Data Capture Standard Reporting (OBIEE) Information from blogs/sites related to Product Unstructured Data Connector Data Integrator Transaction data E.g. POS, Demand Signal Machine generated E.g. quality Customer Info Product /Service Info Customer Activity Product/Service Trends Advanced Analytics Big Data Appliance ETL Structured EDW/ODS ORACLE RDBMS Visualization & Advanced Analytics (Endeca)
  20. Improve Demand Planning Accuracy Increase forecast for 3-4 level games Decrease forecast for cartridges Use Case: Demand Driven Integrated Planning Unstructured Transformed Improved Demand Accuracy Higher Customer Satisfaction Higher Profits Insights Blogs, Discussions on toys by Parents, Children Log data on usage of games by children Discussion on competing product(s) Desire to Spend by Customer Geography for Smart Toy and accessories Prefer 3-4 level games Prefer apps over cartridges Update Casual Factors in VCP Orders, Shipments, transactions for smart toy (base toy, game cartridges) Structured Historical Orders, Shipments, Prices for smart toy (base toy, game cartridges)
  21. Monitor Supply Chain disruptions and review impact in real-time Use Case: Improving Supply Chain Visibility Unstructured Transformed Insights Information from Supply chain blogs, websites, discussions Info on potential disruptions, discussions on material shortages, pricing Key Supply Chain node impact, inventory impact, cost impact Optimized Revenue Reduced Costs Higher Profits Orders, Shipments from POS and OM systems Real-time feedback to POS/ OM & OR SOP planning Structured Existing Forecast, Inventory, Pricing Information
  22. Popular Interactive Learning Toy Company Case Study: Insight with Big Data
  23. Client Company Background Action Taken Engaged Bodhtree to conduct an accurate assessment of their current information assets and capabilities, and their suitability for big data. Scope: Focused on 1 product line and followed how the data interacted with the customer (360 ⁰view). Interviewed CMO, SVP of Digital, D2C, Product Dev. , Marketing, Customer Support, Finance, BI, IT& Ops Industry leading Toy Company is a leading designer, developer and marketer of innovative, technology-based educational products and related proprietary content. Focused on developing products that will provide the most engaging and effective learning experience. Case Study: Big Data related Assessment Results & Outcome Business Drivers & Challenges Drivers: Increase Customer Lifetime Value & Sell more content: impact multi-platform ownership , content consumption mix, and frequency. Invest Wisely: Ground product dev. in customer acquisition & retention insight: Channels, geographies, products, & content engagement Challenges: Mature BI landscape but data “was trapped” , “not trusted”, “not intuitive to interact”, and “hidden”. Try to understand how they can benefit from big data enablement within their organization. Documented the opportunities (via use cases) available to customer through big data and aligned them to their strategic priorities. (5 uses cases defined, 1 chosen = gameplay data) Identified where data can be game changer, documented future state , and defined benefits & roadmap. VP of BI : “I understand the Journey that we need to take and how to take it” Bodhtree presented results to board and next activities scheduled.
  24. Data Integration Infrastructure Analytics Proof of Concept: Overview Informatica Enterprise Datawarehouse Toy Data Existing Reporting (Oracle, Cognos, Other) Visualization & Advanced Analytics(Tableau) Customers Transactions Gameplay Product Info Game Activity Licensing EDW Proof of Concept Midas Data Taken 100K Toy XYZ 1 & 2 customers Nominated Dec 2011 – Cohort 1 Nominated Dec 2012 – Cohort 2 Geography: US & UK Highlights of Solution Transform the way Toy company uses data to solve problems – see it/visualize it, understand it, explore/interact, model (advanced statistical methods), segment it, uncover insights. Connect to multiple sources, specially to new huge data – “Big Data”- set up environment where you can isolate and extract the useful from the messy. Cheap & Fast: to store it and process it (Hadoop – open source)
  25. Big data Solution Architecture HIVE EDW Name Node Secondary Name Node Heart Beats, Balancing and Replication Data Node 1 Data Node 5 Data Node 2 Data Node 4 Data Node 3
  26. Recommended Approach “Right” Customer Acquisition and Retention Increases Develop better Products Better understanding: Customers & Models to drive Holiday revenue Faster & Fact Base Decision Making Examine Assumptions N 2 1 Identify FAQs & Key Metrics Define Blueprint & Roadmap Predict future growth markets Feedback Loop: Recommendation Engine ! Generate better customer experience Better Marketing opportunities & Optimize Pricing 0 Prove out an enterprise analytics environment Basic (Days) Strategic (< Year) Focused (Quarter) Tactical (Weeks)
  27. Big Data + Value Chain Planning = Big Value ! SOCIAL Improved Analytics Timely Decision Making Demand-Driven Processes Supply Chain Efficiency Supply Chain Agility Higher Profits Happy Customers BLOG SENSOR VOLUME VELOCITY VARIETY VALUE
  28. Q & A
  29. Oracle Value Chain Summit Empowering the Modern Value Chain Explore How New Solutions Within Social, Mobile, Analytics & the Cloud are Helping Companies Transform Supply Chains into Modern Value Chains February 3-5, 2014 – San Jose McEnery Convention Center Hands-on workshops, solutions demonstrations & more than 200 sessions on topics in 6 complementary solution areas: Product Value Chain, Manufacturing, Enterprise Asset Management, Logistics, Planning & Procurement Early bird registration opens soon – www.oracle.com/goto/VCS14
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