Speed of Thought Analytics Graz, June 17 th 2015

Transcription

1 Speed of Thought Analytics Graz, June 17 th 2015 Marco Lang Director EMEA Business Development, Business Analytics Copyright 2014 Oracle and/or its affiliates. All rights reserved.

2 Today s Business Analytical Requirements Self service for business users Integration of all data sources to gain business insights faster Mobile access to analytics Need to reduce IT costs and protect investments Govern and secure all data Oracle Confidential Internal 2

3 Benefits of In-Memory Technology Faster Analysis Faster Calculations Better Interactivity Better Visualizations On Any Device More Users More Queries Better agility with faster access to all data Better Adoption Better Decisions Larger Scale Lower Cost 3

4 Emerging Sources Existing Sources Oracle Business Analytics Productize, Secure & Govern Oracle EPM Oracle BI Exalytics Oracle Real Time Decisions In-Memory Analytics Oracle Advanced Analytics Exadata Oracle Database Oracle Big Data SQL Tables in DB Experiment, Prototype & Collaborate Data Warehouse Oracle Big Data Discovery ORAAH SQL join BDA Hadoop (HDFS) Data Reservoir Tables in Hadoop 4

5 Exalytics THE Engineered System for Oracle Business Analytics Enterprise Performance Management BI Foundation BI Applications Real Time Decisions Exalytics X cores Intel 3 TB RAM 2.4 TB Flash 7.2 TB Discs Enterprise Linux OVM Exalytics T cores Sparc 4 TB RAM 6.4 TB Flash 9.6 TB Discs Solaris OVM Essbase Database In-Memory Oracle s strategic platform for Analytic applications 5

6 Exalytics In-Memory SW and Oracle DB InMemory Custom Apps BI Apps HFM Planning OBIEE BI Publisher Essbase Exalytics In-Memory Software Oracle Database InMemory Exalytics Operating System / Virtualisation Management 6

7 OBIEE and BI Publisher BI Foundation No application changes necessary Optimizes OBIEE Query concurrency to use all Exalytics Cores Aggressive optimizations to use more memory High-speed, high-volume bursting Generate and deliver hundreds of thousands of personalized documents per hour Pipelining of document generation process uses Exalytics cores effectively 7

8 Essbase Essbase No application changes necessary Increases Essbase calculation concurrency to maximally use cores Reduces CPU utilization of calcs, enabling consolidation Fixed Parallel, MDX Attribute optimization, optimized aggregate functions, BSO/ASO hybrid mode 8

9 Exalytics Summary Advisor 9

10 Customer Case: Immonet (Germany, Online Real Estate Platform) Datawarehouse and Speed of Though Analytics With Oracle Exalytics extreme performance for Oracle Business Intelligence, we ve dramatically improved our performance across the board Christian Maar, CEO Immonet GmbH Challenges Limited real estate market in Germany, therefore high competition Improve property buyers experience to gain market share Improve agency satisfaction and retention by improved sales lead generation Solution and Benefits Using Oracle Exadata, Exalytics, BIFS, mobile and RTD Increased BI user adoption with mobile and better response times Reduced agency acquisition costs by better insights Dramatically improved customer churn, by better customer segmentation and timely reporting 10

11 Exalytics THE Engineered System for Oracle Analytics One Support for the entire stack no fingerpointing Including Linux OS and Oracle Virtualisation Management no additional costs Certified updates for the entire stack - faster implementation, reducing risk Exalytics only features (examples) HW&SW engineered together BI: Summary Advisor BI Publisher: Burst Mode Essbase: Advanced Multithreading HFM: Insights, Rule Profiling Oracle Confidential Internal 11

12 Companies Around the Globe Chose Exalytics 12

13 For More Information... Exalytics Product Information on Exalytics Customer and Partner successes on Click on the picture or go to Click on the picture or go to 13

14 Emerging Sources Existing Sources Oracle Business Analytics Oracle EPM Productize, Secure & Govern Oracle BI Exalytics Oracle Real Time Decisions In-Memory Analytics Exadata Oracle Advanced Analytics Oracle Database Oracle Big Data SQL Tables in DB Experiment, Prototype & Collaborate Data Warehouse Oracle Big Data Discovery ORAAH SQL join BDA Hadoop (HDFS) Data Reservoir Tables in Hadoop 14

15 Not Easy to Get Analytic Value at Fast Enough Pace Data Uncertainty Not familiar and overwhelming Potential value not obvious Requires significant manipulation Tool Complexity Early Hadoop tools only for experts Existing BI tools not designed for Hadoop Emerging solutions lack broad capabilities 80% effort typically spent on evaluating and preparing data Overly dependent on scarce and highly skilled resources Oracle Confidential Internal Business Analytics Product Group 15

16 Requires a Fundamentally New Approach A single intuitive and visual user interface, to... find explore transform discover share find and explore big data to understand its potential quickly transform and enrich it to make it better unlock big data for anyone to discover and share new value Oracle Confidential Internal Business Analytics Product Group 16

17 Oracle Big Data Discovery. The Visual Face of Hadoop find explore transform discover share Oracle Confidential Internal Business Analytics Product Group 17

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19 Thank you for your attention! 19