1 / 26

Harnessing the Power of Big Data and Business Analytics to Transform Business

Harnessing the Power of Big Data and Business Analytics to Transform Business. Justin Grochoski Big Data Industry Solutions Rajeev Nayar AVP & Head Big Practice Infosys Scott Osterman Director Enterprise Applications-UL. Program Agenda. Big Data & Business Analytics.

slone
Download Presentation

Harnessing the Power of Big Data and Business Analytics to Transform Business

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Harnessing the Power of Big Data and Business Analytics to Transform Business • Justin GrochoskiBig Data Industry Solutions • Rajeev NayarAVP & Head Big Practice Infosys • Scott OstermanDirector Enterprise Applications-UL

  2. Program Agenda Section Name Big Data & Business Analytics Deriving real value from Big Data & Analytics Big Data Showcase: Business transformation leveraging Big Data

  3. ORACLE LOGO Big Data is more than servers and storage

  4. Big Data Landscape Businesses are drowning in data they either ignore or discard

  5. Big Data Sources People and Things are connected more than ever and the connectivity is increasing and The connectivity is increasing

  6. Big Data Value Section Name Is there value in the data that is ignored and discarded?

  7. Big Data Value Section Name Is there value in the data that is ignored and discarded?

  8. Section Name A partner to help you navigate the complexities

  9. Section Name Big Data Showcase To be replaced with photo of the showcase space

  10. Establishing Tomorrow’s Insights-Driven Enterprise Today Rajeev AVP, Head – Big Data Practice

  11. The Opportunity is Immense 82% Expect their banks to mine personal data to protect against fraud, and will switch banks for more security 78% Agree that they are more likely to buy from retailers with targeted ads, while only 13% will share their social profiles 47% Share personal and family histories with doctors Source: Infosys consumer survey 2013

  12. Section Name It’s Not About BI or Big Data, it’s About Insights With All Data

  13. Section Name Our Strategy for Success Data ArchitectureSaving over$250 Million

  14. Section Name Our Strategy for Success State of the Art Architecture for Real-Time Actionable Insights

  15. Section Name Our Strategy for Success Helping an retailing major get price competitive online

  16. Section Name Infosys BigDataEdge + Oracle Value Proposition Endeca BDA OBIEE Oracle RT Exadata Guardium/Optim Oracle MDM 40% faster ingestion & Discovery Multi-structured Data EDW & Marts Advanced Analytics (structured Data) MDM Server Oracle 12 NOSQL Graph BDA 8X faster insights! 250 prebuilt algorithms for rapid insights Prod Exadata Exadata Cust Real time decisions Golden Gate Oracle Fusion, ODI

  17. Section Name Building Tomorrow’s Insights-Driven Enterprise Today Talent: 8000+ Consultants •100+ Visualization Experts • 500+ Data Scientists Methodologies: Value Realization Method™ •IMPACT™ • Questions To Actions Solutions: BigDataEdge™ •TradeEdge™•InteractEdge•FINACLE™ Infosys Labs •Technology COE’s • Alliances

  18. Oracle Openworld Big Data Intelligence – A new perspective Scott Osterman Director Enterprise Applications

  19. The Problem • Internally focused organization • Silos creating duplicate content • A Large Amount of Legacy Applications/Databases • Many Unstructured Data Sources • Long time to find useful information • Takes a lot of time to restructure data • No Enablement for business users to define Information pockets • Different views of data between internal and external users

  20. The Vision MULTI-CHANNEL DELIVERY (MOBILE FIRST) SINGLE IDENTITY PORTAL MOBILE APPS MACHINE TO MACHINE OTHER CONSUMABLE SERVICES & APIs DELIVERY PUBLIC API (CUSTOMER FACING SERVICES) COLLABORATION CONFIGURABLE WORKFLOWS UNIVERSAL SEARCH CONTENT MANAGEMENT COLLABORATION SEARCH CONTENT MANAGEMENT CONFIGURABLE WORKFLOW REAL-TIME API BIG DATA INTELLIGENCE DECISION SUPPORT PRIVATE API (INTERNAL SERVICES) SECURITY AND IDENTITY MANAGEMENT RECOMMENDATIONS ENGINE ANALYTICS ENGINE INFERENCE ENGINE ANALYTICS API

  21. The Construct DECISION SUPPORT SYSTEM ANALYTICAL SUPPORT SYSTEM RECOMMENDATION SUPPORT SYSTEM INFORMATION HUB REQUEST HUB SERVICE HUB CUSTOMER<------------------------------------->SERVICE<----------------------------------->INFORMATION

  22. The Platform Data Driven To Information Driven Enterprise---------->

  23. The Move Data Driven To Information Driven Enterprise---------->

  24. PUBLIC DATA CUSTOMER APPS STANDARDS PORTAL MOBILE APPS MACHINE TO MACHINE OTHER DELIVERY API API+ API+ ERP PUBLIC API (CUSTOMER FACING SERVICES) LABS API COLLABORATION SEARCH CONTENT MANAGEMENT CONFIGURABLE WORKFLOW FULFILLMENT REAL-TIME API FIELD APPS ADMINISTRATION & GOVERNANCE API DECISION SUPPORT API LEGACY CORPORATE RECOMMENDATIONS ENGINE ANALYTICS ENGINE INFERENCE ENGINE API PRIVATE API (INTERNAL SERVICES) SECURITY AND IDENTITY MANAGEMENT ANALYTICS API BUSINESS UNITS API

More Related