6 Solution Patterns for Accelerating Self-Service BI, Cloud, Big Data, and Other Data Initiatives
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A presentation by Saptarshi Sengupta, Sr. Product Marketing Manager, at the Fast Data Strategy Roadshow in San Francisco Bay Area. For more information of Fast Data Strategy Roadshows, follow this link: https://goo.gl/wtwpBN
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6 Solution Patterns for Accelerating Self-Service BI, Cloud, Big Data, and Other Data Initiatives
- 1. 6 Solution Patterns for Accelerating Self-service BI, Cloud, Big Data, and Other Data Initiatives Stop collecting, start connecting Saptarshi Sengupta Sr. Product Marketing Manager
- 2. 2 Customer Centricity / MDM ✓ Complete View of Customer Data Services ✓ Data as a Service ✓ Data Marketplace ✓ Data Services ✓ Application and Data Migration Cloud Solutions ✓ Cloud Modernization ✓ Cloud Analytics ✓ Hybrid Data Fabric Data Governance ✓ GRC ✓ GDPR ✓ Data Privacy / Masking BI and Analytics ✓ Self-Service Analytics ✓ Logical Data Warehouse ✓ Enterprise Data Fabric Big Data ✓ Logical Data Lake ✓ Data Warehouse Offloading ✓ IoT Analytics Denodo ‘Horizontal Solution’ Categories
- 3. 3 Denodo ‘Horizontal Solution’ Categories Customer Centricity / MDM ✓ Complete View of Customer Data Services ✓ Data as a Service ✓ Data Marketplace ✓ Data Services ✓ Application and Data Migration Cloud Solutions ✓ Cloud Modernization ✓ Cloud Analytics ✓ Hybrid Data Fabric Data Governance ✓ GRC ✓ GDPR ✓ Data Privacy / Masking BI and Analytics ✓ Self-Service Analytics ✓ Logical Data Warehouse ✓ Enterprise Data Fabric Big Data ✓ Logical Data Lake ✓ Data Warehouse Offloading ✓ IoT Analytics Customer Centricity/MDM ✓ Complete View of Customer ✓ Customer Service Unified Desktop ✓ Unified Desktop for Contact Center ✓ Customer Self-Service Portal ✓ Single Customer View for Back Office Automation
- 4. 4 Data Virtualization Complete View of Any Data – Customers, Products, … Self-service – search, discover, explore data Navigate to different entities with Linked Data Services Customer Centricity / MDM Complete View of Customer MarketingSales ExecutiveSupport
- 5. 5 Three Architectural Patterns – DV and MDM 1. Analytical DV + MDM 2. Operational DV + MDM 3. Virtual MDM
- 6. 6 1. Analytical DV + MDM DATA VIRTUALIZATION MDMData Warehouse Master DataTransactional Data • DV combines master data from MDM and transactional data (facts) in DW to provide a complete and contextual view of the enterprise data • Used in compliance, financial reporting use casesInteraction Data
- 7. 7 Chip Manufacturer Decreases Time-to-Market Case Study Took too long to provide supplier data to 70+ consumers Merged supplier master data from MDM with transactional data from EDW Accelerated services development: 8 vs. 180 hours
- 8. 8 2. Operational DV + MDM DATA VIRTUALIZATION MDM Master DataTransactional Data • DV combines master data from MDM and transactional data directly from the transactional systems provide a complete and contextual view of the enterprise data • Used in operational applications like call center apps
- 9. Systemically Important Financial Organization 9 Case Study Needed a controlled data environment to support stringent regulatory requirements Created a data services layer using Denodo Platform Helped CIT Bank avoid an existential crisis meeting all regulatory requirements Informatica MDM
- 10. 10 3. Virtual MDM DATA VIRTUALIZATION Master DataTransactional Data Master DataTransactional Data • DV uses “registry-style MDM” to match/ merge the data • Used where storing data is prohibited – healthcare, public sector • Mostly used to support operational applications (not much for reporting)
- 11. Large Telecommunication Company Architectural Diagrams 11
- 12. 12 Customer Centricity / MDM ✓ Complete View of Customer Data Services ✓ Data as a Service ✓ Data Marketplace ✓ Data Services ✓ Application and Data Migration Cloud Solutions ✓ Cloud Modernization ✓ Cloud Analytics ✓ Hybrid Data Fabric Data Governance ✓ GRC ✓ GDPR ✓ Data Privacy / Masking BI and Analytics ✓ Self-Service Analytics ✓ Logical Data Warehouse ✓ Enterprise Data Fabric Big Data ✓ Logical Data Lake ✓ Data Warehouse Offloading ✓ IoT Analytics Denodo ‘Horizontal Solution’ Categories Data Governance ✓ GRC ✓ Data Retention for Regulatory Compliance ✓ Risk Reporting for Basel III Compliance ✓ Single View of Risk ✓ GDPR ✓ Data Privacy and Protection ✓ Data Privacy/Masking ✓ Data Privacy in a Hybrid Environment ✓ De-identifying Patient Data according to HIPAA Safe Harbor Rules
- 13. 13 Instills data privacy and security in any initiative requiring data access Meet regional data privacy and security requirements Helps prevent non-compliance cost Data Governance GDPR and GRC Compliance Authentication • Pass-through authentication • Kerberos and Windows SSO • OAuth, SPNEGO Authentication • Standard JDBC/ODBC security • Kerberos and Windows SSO • Web Service security LDAP Active Directory Role based Authentication Guest, employee, corporate Schema-wide Permissions Data Specific Permissions (Row, Column level, Masking) Policy Based Security Data in motion • SSL/TLS Data in motion • SSL/TLS Encrypted data at rest • Cache • Swap Proprietary and Confidential
- 14. 14 Multi-national Pharma Company SAP BW Business Rule/Logic Active Directory Access Control Americas AsiaPac Irvine Global Europe Allergan Published Daily Brute Force Solution Architecture Allergan Employment Status Data
- 15. 15 Customer Centricity / MDM ✓ Complete View of Customer Data Services ✓ Data as a Service ✓ Data Marketplace ✓ Data Services ✓ Application and Data Migration Cloud Solutions ✓ Cloud Modernization ✓ Cloud Analytics ✓ Hybrid Data Fabric Data Governance ✓ GRC ✓ GDPR ✓ Data Privacy / Masking BI and Analytics ✓ Self-Service Analytics ✓ Logical Data Warehouse ✓ Enterprise Data Fabric Big Data ✓ Logical Data Lake ✓ Data Warehouse Offloading ✓ IoT Analytics Denodo ‘Horizontal Solution’ Categories Data Services ✓ Data as a Service ✓ Data Services for Drug Discovery ✓ Unified Data Services Layer ✓ Enterprise Data Service Layer ✓ Data Marketplace ✓ Data Access Marketplace ✓ Liquidity Management Dashboard ✓ Data Services ✓ Cable Set Top Box Transaction Management ✓ RESTful Web Services API for Development Teams ✓ Application and Data Migration ✓ Migration Abstraction Layer ✓ Mergers and Acquisitions
- 16. 16 Single layer for all data services Publish data services as RESTful APIs Accelerate development of SOA applications Data Services Unified Data Services Layer DATA SERVICES LAYER
- 17. 17 Data Marketplace Enterprise Data Service Registry Virtual Data Layer Scheduling & Delivery Reuse Data Services Virtual Operational Data Stores Virtual Data Marts Usage StatsMeta Data RDBMSNoSQLBig Data Web ServicesPackaged App Files Enterprise Data Marketplace BI, CPM and Reporting Portal & Dashboards Applications BUSINESS SOLUTIONS Access Information- as-a-Service ENTERPRISE DATA SERVICE REGISTRY Standard metadata and enterprise data services DATA VIRTUALIZATION Abstract layer for data services DISPARATE DATA Any source Any format
- 18. 18 Denodo ‘Horizontal Solution’ Categories Customer Centricity / MDM ✓ Complete View of Customer Data Services ✓ Data as a Service ✓ Data Marketplace ✓ Data Services ✓ Application and Data Migration Cloud Solutions ✓ Cloud Modernization ✓ Cloud Analytics ✓ Hybrid Data Fabric Data Governance ✓ GRC ✓ GDPR ✓ Data Privacy / Masking BI and Analytics ✓ Self-Service Analytics ✓ Logical Data Warehouse ✓ Enterprise Data Fabric Big Data ✓ Logical Data Lake ✓ Data Warehouse Offloading ✓ IoT Analytics BI and Analytics ✓ Self-Service Analytics ✓ Self-Service Discovery ✓ Self-Service Exploration ✓ Self-Service Collaboration ✓ Logical Data Warehouse ✓ Inventory-Sales Reconciliation Reports ✓ Logical Data Warehouse ✓ Agile Reporting using Logical Data Warehouse ✓ Enterprise Data Fabric ✓ Single View of Supply Chain ✓ Secure Data Services Layer
- 19. 19 Unify enterprise data warehouse with other sources Achieve comparable performance as physical DW Lower data warehousing costs by as much as 80% Agile Business Intelligence Logical Data Warehouse
- 20. 20 Logical Data Warehouse Seacoast Bank Case Study Needed self-service reports and dashboards for loans, deposits and other departments Created a logical data warehouse using Denodo Platform Time-to-market for reporting and analysis improved by 25X
- 21. 21 Denodo ‘Horizontal Solution’ Categories Customer Centricity / MDM ✓ Complete View of Customer Data Services ✓ Data as a Service ✓ Data Marketplace ✓ Data Services ✓ Application and Data Migration Cloud Solutions ✓ Cloud Modernization ✓ Cloud Analytics ✓ Hybrid Data Fabric Data Governance ✓ GRC ✓ GDPR ✓ Data Privacy / Masking BI and Analytics ✓ Self-Service Analytics ✓ Logical Data Warehouse ✓ Enterprise Data Fabric Big Data ✓ Logical Data Lake ✓ Data Warehouse Offloading ✓ IoT Analytics Big Data ✓ Logical Data Lake ✓ Single View for Customer Analytics ✓ Data Warehouse Offloading ✓ Cost Reduction ✓ IoT Analytics ✓ Contextual Data for Advanced Analytics
- 22. 22 Combine streaming data with enterprise data Valuable insight for making informed business decisions Ideal use case for fast data strategy Big Data Integration Internet of Things (IoT)
- 23. Benefits Large Heavy Equipment Manufacturer Predictive Analytics – IoT Integration 23 Improved asset performance and proactive maintenance Increased revenue from sale of services and parts Reduced warranty costs of parts failure
- 24. 24 Make two data sets appear as single data set Data consumers decoupled from actual location of data Lower costs while improving information access Big Data Integration Data Warehouse Offloading
- 25. 25 Denodo ‘Horizontal Solution’ Categories Customer Centricity / MDM ✓ Complete View of Customer Data Services ✓ Data as a Service ✓ Data Marketplace ✓ Data Services ✓ Application and Data Migration Cloud Solutions ✓ Cloud Modernization ✓ Cloud Analytics ✓ Hybrid Data Fabric Data Governance ✓ GRC ✓ GDPR ✓ Data Privacy / Masking BI and Analytics ✓ Self-Service Analytics ✓ Logical Data Warehouse ✓ Enterprise Data Fabric Big Data ✓ Logical Data Lake ✓ Data Warehouse Offloading ✓ IoT Analytics Cloud Solutions ✓ Cloud Modernization ✓ Application Modernization ✓ Cloud Migration ✓ Cloud Analytics ✓ Analytics in the Cloud ✓ Web/Cloud/Semi-Structured Data Integration ✓ Hybrid Data Fabric ✓ Single View of Customer for Distributor Portal ✓ Automation of Service Interaction for Retail Partner Customers
- 26. 26 Combine cloud data with on- premises data Enforce centralized security across cloud and on-premises Enable migration from on-premises to cloud Cloud Integration Hybrid Data Fabric
- 27. 27 Logitech Cloud Modernization Benefits Minimal impact to business users during migration Lower operational costs through cloud modernization Save time through rapid prototyping of data services