On October 23rd, 2014, we updated our
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Creating the Intelligent EnterpriseJason RoseVice President | Business Intelligence | SAP@rosejason
Our world at an inflection point… 5 billion 1 billion+ 15 billion Data doubling More mobile becoming social network web-enabled every 18 devicesmiddle class users devices months than people We must rethink the future.
Are you harnessing the opportunity? Mobile Things Things Transactions Instant Messages Demand CRM Data Demand Transactions Instant Messages Things CRM Data Customer Opportunities Customer Customer Things Inventory Mobile Big Data Opportunities Inventory Sales Order Planning Big Data Sales Order Big Data Planning
Companies are missing new signals $2.01B 1,000% Annual revenue increase possibility if return on investment for every $1 spent the median Fortune 1,000 business on analytics increased the usability of its data by just 10% Most Established Use Analytics KPIs too Today 10% 75% Need Analytics by 2020Nucleus Research, Gartner, Fortune Magazine
How will you empower How do you your employees with right optimize operations info at right time? How do you engage How will you take thewith your consumers? right amount of risk?
What if you could turnnew signals into business value :-) Brand Sentiment Predictive Maintenance Network Optimization Insider Threats Asset Tracking Personalized Care Product Risk Mitigation, Real-time RecommendationPropensity to Churn Real-time Demand/ 360O Customer View Fraud Detection Supply Forecast
Reshape the future of your business 1 2 3 4Business Customers Employees Resources Networks Technology
Make customer centricity yourbiggest advantage 1 Predictive Analytics Predict customer behavior and powered by HANA anticipate buying patterns Customers Target customer with real-time personalized promotions Better understand and serve your customers Empowered Consumer
Empower and Inspire your people 2 Analytics from SAP Inform your people with right information at the right time Employees Align to best decision with risk- Intelligent Decisions aware plans and strategy Predict future outcome to adapt to constantly changing market Engage with customer-grade, self-service user experiences Impactful Employee
Optimize your resources for thereal-time economy 3 Operational/Embedded Anticipate supply and Analytics demand and improve accuracy and on-time delivery in SAP Business Suite Resources Powered by SAP HANA Predict and prevent down- time and adjust operations and plans in real-time Optimize real-time make-to- order manufacturing with 3D clarity Efficient Operations
Exploit your network for the next wave ofopportunities Mobile Analytics with 4 integrated collaboration Connected devices Networks Social collaboration Networked businesses & resources Intelligent Cities and Ecosystem
Accelerate your business with thebest of technology 1 2 3 4Business Customers Employees Resources Networks 24 industries 11 lines of business Technology Introducing Data To Decision Packages
The opportunity is endless Consumer Retail High Tech Oil & Gas Telco Etc. Products Analysis Action
Data to DecisionTransform your business with technology innovation Cloud Mobile Intelligent Enterprise Predictive Collaboration Enterprise information SAP HANA Data Warehousing Management
Real Time Data Platform Transform your business with technology innovation DEEP Complex and interactive questions on granular data BROAD HIGH SPEED • Big data • Fast response • Many data types time • Interactivity “BIG DATA” ECOSYSTEM SIMPLE • No dataREAL TIME preparation• Recent data • No pre-• Preferably aggregates real-time • No tuning
Achieving Real Time on Big Data Data Marts Real Time Data Platform Data Warehouse Transactional Data
SAP HANA Insights Traditional Stack = $15 DBA and IT Costs TCO Reduction $4 by Approx 60% SAS Predictive $2 BusinessObjects BI* $1 SAP HANA Insights = $6 Teradata/Exalytics $3 DBA and IT Costs $2 $1 Informatica ETL SAP HANA Insights Predictive $4 $4 Oracle DB (e.g. Exadata) BI Suite HANA Enterprise*SAP BusinessObjects business intelligence (BI) solutions; SAP solutions for enterprise information Management (EIM);Built by Sanjay Poonen, Copyright SAP, Representative figures based off CIO interviews, showing approximate proportional quantities of IT spending in Analytics
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