Putting Data Into Action - how technology can speed time to value

Putting Data Into Action - how technology can speed time to value, Derek Judge, Senior Director, Alliances & Solution Engineering, MapR APAC

Transcript

1. Derek Judge Senior Director, Alliances & Solution Engineering, APAC djudge@mapr.com Putting Data Into Action - how Technology can speed time to value
2. © 2017 MapR Technologies MapR Confidential 2 Cisco – putting data into action • Customer 360 • Data Warehouse Offload • Security Log Analytics • Others
3. © 2017 MapR Technologies MapR Confidential 3 Cisco was able to analyze service sales opportunities in 1/10 the time, at 1/10 the cost, and generated $40 million in incremental service bookings in the first year. Cisco: 360° Customer View Cisco uses integrated customer data to increase revenues • Create shared view of customer & operations across 75,000 employees • Increase revenue opportunities with sales partners • Customer information was siloed in different divisions • Customer interactions were inconsistent and not satisfying • Missed opportunities for upselling/cross selling • Use MapR to collect customer information across touch points • Integrate billing, support, manufacturing, social media, websites, dial-in data • Generate new sales leads internally and for partners OBJECTIVES CHALLENGES SOLUTION Architecture for Sales Partner Opportunities Business Impact
4. © 2017 MapR Technologies MapR Confidential 4 Cisco: Data Platforms Reference Architecture DATABASES DOSC, CASES, CONTENT, SOCIAL MEDIA, CLICKSTEAM Data Storage and Processing ERP SFDC SAP HANA ON UCS AGILE ANALYTICS MAPR DISTRIBUTION FOR HADOOP Streamin g (Spark Streaming, Storm) MapR-DB MAPR DISTRIBUTION FOR HADOOP Batch (MR, Spark, Hive, Pig, …) MapR-FS BIG DATA PLATFORM MISSION CRITICAL REPORTING DATA SECURITY, INFRASTRUCTURE CUSTOMER NETWORK, PRODUCT USAGE INTERNET OF EVERYTHING (IoE) SELF SERVICE DASHBOARD RAPID BUSINESS MODEL DATA EXPLORATION REAL TIME PREDICTIVE MISSION CRITICAL OPERATIONAL REPORTS FINANCIAL REPORTING & EXTRACT DATA ANALYSIS, TEXT ANALYTICS MACHINE LEARNING, STATISTICAL ANALYSIS MACHINE DATA INSIGHTS FINANCIALS STABLE CORE CONTROLLED CHANGE Network of Trust MapR Data Platform Data Consumption Data Sources ALL Other Sources Data Bases (Mobile/ Browser/ Data Service) Interactiv e (Drill, Impala)
5. © 2017 MapR Technologies MapR Confidential 5 Financial Services – putting data into action • Security Log Analytics • Fraud Detection (Prevention) • Recommendations Engine And many more…
6. © 2017 MapR Technologies MapR Confidential 6 Fraud models Recommendations engine MapR Converged Data Platform Fraud investigator Interactive marketer Online transactions Fraud detection Personalized offers Clickstream analysis Fraud investigation tool Financial Services: Fraud Detection and Beyond Analytics + Operational Applications on one platform
7. © 2017 MapR Technologies MapR Confidential 7 Aadhaar – putting data into action • World’s largest biometric database
   10 Fingerprints, 2 Retina scans
   1.2 Billion people • Fast and Reliable
   Subsecond authentication
   HA / Immediate Failover • Secure and effective government
8. © 2017 MapR Technologies MapR Confidential 8 Aadhaar: Scalable, Fast and Reliable
9. © 2017 MapR Technologies MapR Confidential 9 Quantium – putting data into action • Global leader in applied analytics • From Retail to other sectors • MapR: the best platform for ML / AI
   Speed and Scale
   Supports multiple toolsets
   Secure multitenancy for client data
10. © 2017 MapR Technologies MapR Confidential 10 Sentiment analysis Store video storage and analysis Pricing optimization Social data Social media logs Videos eCommerce product recommendations MapR Converged Data Platform Receipt scans Online receipts Customer Recommendation models Competitor web sites Inventory optimization Search indexing and quality Web pages and search logs Large Retailer: Several Use Cases on the MapR Platform
11. © 2017 MapR Technologies MapR Confidential 11 - Auto Manufacturer in Germany • Rapid Growth of Sensor Data • Need in-vehicle and central analytics • MapR: best platform for Connected Car
    Speed, Scalability, Reliability
    Analytics at the Edge
    Replication to the Center
12. © 2017 MapR Technologies MapR Confidential 12 Source 1 Source 2 Source 1000 Time to insight (24 hrs) Manual processes, scripts, requires high bandwidth network Before MapR Edge Time to insight (< 5 mins) Automated process Thousands of test cars running 24/7 Capture data around exceptions With MapR Edge Source 1 Source 2 Source 1000 1-5 TB/day Internet Internet MapR Core Cluster MapR Core Cluster Connected Car: Initial Use Case for Test Cars
13. © 2017 MapR Technologies MapR Confidential 13 Manufacturer in Japan • 130+ Factories Worldwide • Need Analytics at the Factory • And Centralised Data Store • MapR: best data platform for client
    Scales down to small cluster
    Speed and Reliability
    Built-in Replication
14. © 2017 MapR Technologies MapR Confidential 14 Manufacturing: Analytics for Factory and for HQ Factory 1 Factory 2 Factory 3 Data Replication Sensor Data Analytics on-premise for immediate use Central Data Store on Cloud Analytics at HQ for long-term planning
15. © 2017 MapR Technologies MapR Confidential 15 Large Bank in Europe • Top 50 Global Bank • Cloud First Strategy – with Containers
    Hybrid and Multi-Cloud • Replacement of Existing Analytics • MapR: best platform for Cloud/Containers
    Secure, scalable, reliable
    Replication and data placement
16. © 2017 MapR Technologies MapR Confidential 16 Case Study: European Bank Hybrid Cloud Deployment Cloud Environment 1 Data Platform FS, DB, Streams Execution & Scheduling Applications On-premise Environment 1 On-premise Environment 2 MapR Global Data Fabric Real-time & Global Namespace MapR delivers data to apps in Containers – so they can be stateful MapR has built-in mirroring and replication to sync data between multiple on-premise and cloud environments Cloud Environment 2 Data Platform FS, DB, Streams Execution & Scheduling Applications
17. © 2017 MapR Technologies MapR Confidential 17 Q & A