Enabling Transformation through Oracle Analytics, Big Data, and Cloud

Transcription

1 Enabling Transformation through Oracle Analytics, Big Data, and Cloud Björn Ständer Business Development Director Business Analytics Oracle Deutschland B.V. & Co KG DOAG BSK, Juni 2015 Copyright 2015 Oracle and/or its affiliates. All rights reserved. 1

2 Safe Harbor Statement Safe Harbor Statement The following is intended to outline our general product direction. It is intended for information The following purposes is intended only, to and outline may our not general be incorporated product direction. into any contract. It is intended It is not for a commitment information purposes to deliver only, any material, and may not code, be or incorporated functionality, into and any should contract. not be It is relied not a upon in commitment making purchasing to deliver decisions. any material, The development, code, or functionality, release, and and timing should of not any be features relied upon or functionality in making purchasing described decisions. for Oracle s The products development, remains release, at the and sole timing discretion of any of Oracle. features or functionality described for Oracle s products remains at the sole discretion of Oracle. 2

3 Key Analytics Trends Analytics take to the cloud Business users hooked on self-service and mobile Big Data means datafication of everything 3

4 Oracle Business Analytics Focus Areas Business User Self Service Mobile Analytics in the Cloud Platform and Applications Big Data Analytics Innovations in Engineered Systems and In-Memory Analytics 4

5 Cloud 5

6 Cloud Adoption is on Fire! Cloud is Mainstream 84% Using Cloud today or will be in Two Years Cloud Growth is Exploding 5X Cloud computing growing faster than traditional IT investment *Source: Computerworld Strategic Marketing Services, February-March 2014 Cloud Survey **Source: GigaOM Research and VC North Bridge

7 Top Cloud Benefits: Agility and TCO 88% Better Use of Resources 87% Lower Capital Expense 89% Greater Business Agility 87% Rapid implementation of Business Models 81% Fewer Operational Issues Source: Computerworld Strategic Marketing Services, February-March 2014 Cloud Survey 7

8 Why is the Cloud so Vital? Faster Innovation Faster pace to product innovation Modern, global platform Shorter upgrade cycle Lower Cost Reduced infrastructure cost Reduced IT maintenance cost Reduced customization and upgrade cost State of the Art Analytics Best-practice analytical content User experience-focused design Comprehensive analytic capabilities Lower Risk Reduced administrative burden Guaranteed system availability Scalable platform for future expansion 8

9 Oracle: The Most Complete Cloud Deployment choices Applications (SaaS) Platform (PaaS) Infrastructure (IaaS) Data (DaaS) Private Cloud Public Cloud Managed Cloud 9

10 Oracle Analytics Cloud Metrics available across HCM, CX & ERP out of the box expertise Cross-source Connectors and Analytics bridging HCM, CX and Finance Proven results capitalizing on BI Apps deployments worldwide 2M+ Daily users of reports and dashboard across the Oracle Cloud 10

11 Oracle BI Cloud Service Strategy 1 Data Anywhere 2 Full Functionality 3 Managed Service Platform as a Service Business Intelligence Cloud Service 4 Scale From Personal to Enterprise BI 11

12 1 Data Anywhere Cloud SaaS Cloud IaaS, PaaS Applications EDW Datamarts Files Files Databases Oracle SaaS Other SaaS Web services Oracle and other Storage, Compute, Doc, etc Generic Web services 12

13 1 Data Anywhere Import Web based file loader BI User mashups On-premise: SQL developer Cloud: Web service importers Direct Query On-premise data sources Web services ETL Simple ETL Client REST API SQL*NET OBIEE Created Datamarts 13

14 Business User Experience 14

15 Oracle Business Intelligence Cloud Service Exploratory Analytics Interface on Desktop or Mobile Data Mashup across Managed and User Data Proven Reporting Solution Integrated with Oracle DB Best-in-class Cloud Infrastructure Room to grow to full enterprise platform for all BI needs 15

16 Business Driven Data Mash-ups More data and shorter decision cycles require agile analytics Allow LoB users to upload and analyse data from local sources (XLS, CSV) Join local and cloud data for a complete view Share results with colleagues 16

17 Smart Data Blending Promotes Accurate Analysis Extend Facts Extend Dimensions Standalone analysis Smart blending extends curated model to cover all Smart Joins Full outer join support Lose no data in analysis DB Caching for blending* * Expected Summer

18 Introducing Visual Analyzer New Data Discovery/Interactive Visualization Client for OBI Built on proven OBIEE platform Rich library of visualizations Easily blend enterprise data with personal data Complex predictive analytics with a single click of the mouse Mobile, too 18

19 Keyword Search Guides Users Through Data Model Unfamiliar data models can be investigated using keyword search Selecting search result automatically updates visualization according to best practices Consumer-style experience powered by deep integration between search engine technology and semantic model 19

20 Rich Library of Visual Components 18 ways to visualize data Creative use of color, size, shape and various coordinate systems Implemented via modern JavaScript library and rendered through HTML5 20

21 Rich Trellising Exposes Deep Patterns in Data Any visualization can be trellised by both columns and rows No limitation on the number of attributes used in trellis Brushing functionality also works within cells of trellis 21

22 2 Full Functionality: End-user tools Coming Soon Dashboards OBIEE Dashboards & Scorecards Data Exploration & Data Mashups Visual Analysis, Answers Production Reporting BI Publisher Report Composition OBIEE Answers Mobile Consumption & Authoring BI Mobile Apps, Mobile HD Office Integration SmartView 22

23 2 Full Functionality: Data Modeling for the Cloud No Modeling Auto-modeling Schema Introspection Data Mashups Cloud Data Modeler Fully Cloud Based Multi-User OBIEE Admin Tool Legacy Applications 23

24 3 Managed Services Task (Cost) BI Cloud Service DB Cloud Service Patching Included Included Upgrade Included Included Backup One click Included Uptime Included Included Scale Included Included Tuning Premium Premium Advisory/Planning Premium Premium Customer managed options available for enterprise customers 24

25 4 Solution for Individuals and Workgroups SQL Fast Provisioning No Setup fees 10 users or fewer Multitenant Self Contained Includes DB and BI Use without database skills App Store 25

26 4 Extends to Full-scale Enterprise BI Single Tenant Isolation As Needed Flexible scaling EDW in the cloud Exadata storage Full Hardware VPN Integrate on-premise security, network On-premise Application Migration 26

27 BI Cloud Service: Cloud First Roadmap Answers + Dashboards BI Mobile HD DB Cloud 50GB Visual Analyzer Data Mashup DBaaS Support RPD Lift and Shift Languages Support Report Delivery November 14 March 15 MayApril June Aug Fall 2015 REST API for ETL DataSync client Data Modeler update Bug fixes Exadata Service 250GB Schema DB Mapviewer Data Enrichment CS support Essbase Service Direct SaaS import On-premise query 27

28 Immediate Access to New Functionality Monthly update cycle; some of them bearing features 1 st Cloud First Availability 28

29 Oracle Analytics Cloud Most Comprehensive Analytics Cloud Available Transactional Business Intelligence Embedded Analytics for Oracle SaaS Apps Big Data Discovery Service Coming Soon Big Data Analytics as a Service Business Intelligence Service BI Technology as a Service Big Data Service Hadoop as a Service Coming Soon 29

30 Oracle Analytics Cloud Oracle Transactional Business Intelligence for Oracle SaaS Applications Embedded within every Oracle SaaS application CRM, HCM, CRM, Marketing, etc Real time insight on transactional data and events Secure security roles of Source Application Extensible understands and confirms to transactional data model extensions Built for LOB Users Mobile, Packaged KPIs, Alerts General Availability Now 30

31 Oracle Analytics Cloud Oracle Transactional Business Intelligence Enterprise Deeper SaaS Analytics for Cross Source & Subject Area e.g. CRM & Marketing, HCM & ERP Cloud & On-Premise data sources e.g. Cloud CRM, On- Premise ERP Extensible & Secure similar to OTBI Advanced Analytics Predictive Analysis, Data Mining, etc Built for LOB Users Mobile, Packaged KPIs, Alerts 31

32 Introducing BI Ask Next Hot Mobile Innovation Visualizations auto-created on-the-fly while user types (or speaks) Keyword search interrogates all reports, metadata, and the semantic layer Ideal for phone form factors, including easy login using touchid & biometric sensors

33 Oracle BI 12c Key Features and Highlights Visual Analyzer BI Ask Pure In-memory Essbase One-click Advanced Analytics Single 12c release stream for Lifecycle Management Operations and Architecture On-Premise Engineered Systems Cloud Offerings Embedding in applications Model Content Roles BI Application Archive (BAR) Other Full multi-tenant Model extensibility and data mashup Zero downtime Radically simple and robust upgrade from 11g 33

34 What s New in BI Applications Oracle Project Cloud Oracle Procurement Cloud Oracle Financials Cloud Oracle Sales Cloud Manufacturing Project Procurement Student Information HR and Sales New Content Enhancements Oracle HCM Cloud New Oracle Cloud Application Sources for Hybrid Analytics New Financial Analytics Essbase GL Model for FSG reporting

35 On-Premises Cloud BI Applications with Oracle Cloud Applications Solution Overview OBIA supports: Oracle Sales Cloud Oracle HCM Cloud Oracle Financial Cloud Oracle Procurement Cloud Oracle Project Cloud Oracle Applications Cloud Services Oracle Sales Cloud Oracle HCM Cloud Oracle Financial Cloud Oracle Applications Cloud Service for OBIA On-Premise Systems E-Business Suite Siebel PeopleSoft JD Edwards E1 Fusion Oracle Business Intelligence Applications Hybrid Analytics Sales Analytics HR Analytics Financial Analytics 35

36 Big Data 36

37 Digitization Datafication Big Data Disruption 37

38 What are businesses trying to achieve using Big Data? Adapted from Tom Davenport Analytics 3.0 Analytics 1.0 Basic reporting Limited range of tabular data Batch oriented analysis Analysis bolted onto limited set of business processes Analytics 2.0 Competing on Analytics Extended analytics to larger and less structured datasets Fact and exception based management doctrine Recognition of Data Science Platform for monetisation Deeper analysis on more data Faster test-do-learn wider business process coverage Analysts focus on discovery and driving business value Data as a business cost Data as a business benefit & competitive weapon 38

39 Next Generation Data Management Architecture 39

40 What does Big Data mean to the business? The reality Business expectations Current solution 40

41 Why is Big Data Analytic a Challenge? 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 Over dependent on scarce and highly skilled resources 41

42 Oracle Big Data Discovery. The Visual Face of Hadoop find explore transform discover share 42

43 Unstructured Data Structured Data Oracle s Unified Big Data Management and Analytics Strategy Exalytics Oracle BI Foundation Suite In-Memory Appliance Oracle SQL Queries Experiment, Prototype, Collaborate Quickly find, explore, transform, discover and share in BDD Productize, Secure & Govern Exadata Oracle Advanced Analytics Oracle Database Oracle Big Data SQL Tables in DB Publish results to HDFS Use to build predictive models with Oracle R for Hadoop Productize, Secure, Govern Experiment, Prototype & Collaborate BDA Data Warehouse Oracle Big Data Discovery Hadoop (HDFS) Data Reservoir Oracle R for Hadoop SQL join Tables in Hadoop Connect published HDFS files to secure Oracle DB using Oracle Big Data SQL No data movement required Seamlessly extends existing DWH and BI investments with non-traditional data in Hadoop Available as Engineered Systems Copyright 2015 Oracle and/or its affiliates. All rights reserved. Oracle Confidential Internal

44 Engineered Systems Copyright 2014 Oracle and/or its affiliates. All rights reserved. 44

45 Oracle Exalytics Solid Customer Momentum Rapid global growth since GA 100+ certified analytic applications and tools, including full suite of OBI and Hyperion applications Proven ROI based on superfast analytics and TCO advantages 45

46 Exalytics X4-4 Continued exploitation of D-RAM & Flash to make Analytics 100X faster Brand new Software Oracle Database In-Memory Option: 100% Data In- Memory Oracle Essbase In-Memory option: Maximum concurrency; 2X faster on X4-4 Brand new Hardware Intel Xeon E7-V2; 50% faster clock speed; 50% more processing cores; co-engineered with Oracle 50% more memory; 100% more flash; 33% more storage; 10X more networking 46

47 In Summary, Our Priorities Are. Business User Self Service Mobile Analytics in the Cloud Platform and Applications Big Data Analytics Innovations in Engineered Systems and In-Memory Analytics Copyright 2015 Oracle and/or its affiliates. All rights reserved. 47

48 Oracle Business Analytics Strategy Available Today Any Data Integrated Tools Packaged Analytic and EPM Apps Engineered Systems In the Cloud On-Premise 48

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