Implementation of Big Data and Analytics Projects with Big Data Discovery and BICS March 2015

Transcription

1 Implementation of Big Data and Analytics Projects with Big Data Discovery and BICS

2 Agenda Big Data Discovery Oracle Business Intelligence Cloud Services (BICS) Use Cases How to start and our services Slide 2

3 Oracle Big Data Discovery Slide 3

4 Current challenges with the analytics 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 Slide 4

5 Big Data Analytics. Requires a Fundamentally New Approach An intuitive, interactive and visual user interface for anyone to quickly find, explore, transform and analyze data in Hadoop then share results for enterprise leverage Find Discover Explore Transform Slide 5

6 Oracle Big Data Discovery. The Visual Face of Hadoop Find Explore Discover Transform Slide 6

7 Easily Find Relevant Data Sets Navigate a rich catalog of all data in the Hadoop cluster Familiar search and guided navigation for ease of use Access data set summaries, annotation and recommendations Provision your own data through selfservice upload Data is automatically enriched with extracted locations, terms, sentiment Browse personal big data projects and those shared by the community Slide 7

8 Explore the Data and Understand Potential Understand shape of the data. Visualize attributes by type Entropy based sorting by information potential View attribute statistics, data quality and outliers Use scratch pad to see statistical correlations between attribute combinations Evaluate whether a data set is worthy of further investment Slide 8

9 Transform and Enrich Data to Make it Ready Intuitive user driven data wrangling Library of data transformations to replace values, convert types, collapse, reshape, pivot, group, custom tag, merge and much more Data enrichments for inferring location and language. Theme, entity and sentiment enrichments for text Preview results, undo, commit and replay transforms Run on sample data in memory or full data set in Hadoop Slide 9

10 Analyze the Data to Discover New Insights Mash up different data sets for deeper perspectives Drag and drop from a rich library of interactive visualizations to compose discovery dashboards Filter through data with powerful search and intuitive guided navigation Publish blended data sets back to Hadoop Share projects, bookmarks and snapshots with team members for collaboration Slide 10

11 Share Results and Publish for Enterprise Leverage Find Discover Explore Transfor m Share & Collaborate raw data transformed data Publish back to Hadoop Publish data reservoir (HDFS) Leverage advanced analytics business intelligence other hadoop tools data warehouse Transforms and enrichments may be applied to original data sets in Hadoop Publish blended data sets back to HDFS Leverage results in other tools Share and collaborate with the team Share projects, bookmarks and snapshots then collaborate and iterate Publish data to Hadoop in format optimized for advanced analytic tools (e.g. ORAAH) Hadoop compliant BI tools (e.g. OBIFS) can burst out to the masses Slide 11

12 Oracle BICS Slide 12

13 BICS in short overview Slide 13

14 Targets of BICS Slide 14

15 Serve LoBs with governed Analytics Slide 15

16 LoB driven rapid application prototyping Slide 16

17 Single cloud metadata layer Slide 17

18 Complete and feature rich Slide 18

19 Proven BI platform Slide 19

20 Unify analytic investments Slide 20

21 Integrate with any data source Slide 21

22 Leverage full database functions in the cloud Slide 22

23 Out of the box analytics Slide 23

24 Safeguard information Slide 24

25 Oracle owned and managed data centers Slide 25

26 End to end public cloud solution Slide 26

27 To be checked, if you plan to use BICS - Limited Functionality - Dependence to the new release rollout (each 6 months) - Integration challenges - Data upload and interconnectivity - Compliance questions have to be answered Slide 27

28 Use Cases Slide 28

29 Case One Data Scientist Completing the toolset BDD Easy access and first answers Allow the Data Scientist to get a visual access to Hadoop located data The Endeca like usability is enabling detailed exploration of data and value identification The functionality can be enhanced with R - Scripts Quick and transportable Integration of BDD results and standard BI outcomes Quick and enhanced visualisation Fast prototyping with no onside resource need Publication of results on varios channels, inclusive Mobile BICS Slide 29

30 Case Two - Operative Business User BDD Integration of new data sources Background integration of new analytical data sources Operative running of prepared analytics No or limited ad hoc functionality in use Quick and transportable Using BICS for the daily work Access via different channels, inclusive Mobile Ad hoc functionality in use BICS Slide 30

31 Case Three - Prepare data driven business case BDD Identification of value Data scientists and business experts are working together with the BDD to identify patters and find root causes Integration of additional identified data sources Providing the basis for the business case calculation Rapid prototyping Setup of prototype with no IT involvement Presentation of the value to the management The close relation to the on premise technology is enabling also a potential transfer to a productive on premise system BICS Slide 31

32 How to start and our services Slide 32

33 How to get started 1/2? Slide 33

34 How to get started 2/2? Slide 34

35 Identify Big Data Opportunities LITE approach to conduct Big Data pilots Learn Insight Learn about the problem or opportunity, prioritize the key issues and form the hypotheses you want to test with the analytics Generate insights, build a model, analyze and identify data from inside the organization and link it with publicly available data Test Conduct tests, see what works or doesn t work and generate the learning Enhance Enhance models and plan to operationalize the analytics or interventions in the field and roll it out Slide 35

36 Identify Big Data Opportunities L earn Traditional Data Generate Hypotheses What if? Business Decision Business Issue Big Data Sources Slide 36

37 Reference Architecture Slide 37

38 Awards, Accolades, and a Global Network #1 Awarded 2014 Oracle Excellence Award- Specialized Partner of the Year- Oracle Cloud- Global. 37 General Specializations and Recognized as Oracle Diamond Partner #1 Deployed the 1 st HCM and ERP Cloud project in the world. 16 Industries (29 sub-industries) serving clients with strategy through execution capabilities 3,700 Oracle Practitioners Worldwide 250+ More than 250 Cloud initiatives deployed in the past year. 157 countries In our global delivery network 161+ Years serving clients 80% Of the Fortune 500 financial services institutions are clients. Slide 38

39 Full Business Transformation is helping clients address their most complex business challenges through an industry and results-focused lens enabled by Oracle. Strategy through execution: closing the gap between ideas and results Business Focus Industry s Global Competencies s Global ORACLE Competencies ORACLE GROWTH & PROFITABILITY STRATEGY ORACLE APPLICATIONS TALENT FINANCIAL SERVICES OPERATIONS ORACLE CLOUD DEALS & RESTRUCTURING CUSTOMER EXPERIENCE DEALS / ADVISORY M&A CUSTOMER SCM/VCP/PLM/VCE CX/SALES/MARKETING/ CPQ/SERVICE/SOCIAL SOCIAL BUSINESS GLOBALIZATION REGULATORY CHANGE CYBERSECURITY HEALTH INDUSTRIES PRODUCTS & SERVICES INDUSTRIES PEOPLE & CHANGE FINANCE RISK FORENSICS ANALYTICS HCM/FHCM/TALEO FINANCIALS/FAH/ LEASE MANAGEMENT INDUSTRY: OFSAA, BILLING, RETAIL, PRIMAVERA EDQ/MDM OBIEE/OBIA/EPM BIG DATA TECHNOLOGY SOA/BPM/WEBCENTER/ EXASERIES SUSTAINABILITY PUBLIC SECTOR TAX IdM/SECURITY TAX REFORM ASSURANCE GRC/ REVENUE RECOGNITION Slide 39

40 Oracle Solution: Business Intelligence Business Intelligence (BI) Business Challenges Competitive businesses must be prepared to predict trends and react quickly to new challenges. Without a clear strategy and a governance model, many companies settle for a tactical approach to their BI, leaving business units to develop their own point solutions. The New Possible s information management professionals, along with Oracle BI tools and technologies, focus on helping clients manage information with a well defined approach and methodology to provide a single version of the truth across the entire organization. We work with clients to help envision new possibilities with business intelligence. Solution Offerings helps clients build BI capabilities as well as provide BI services including: BI Strategy and Roadmap BI Assessment, Application Review and Health Checks BI Tool Selection and Rationalization BI Governance BI Architecture and Solution Blueprint BI Scorecard and Strategy Maps BI Solution Implementation (OBIEE/OBIA) Data Management (Data Strategy, Data Governance, Data Modeling, Data Integration, Data Mining, Data Quality) Master Data Management (Strategy, Data Quality, Implementation) Analytics Business Analytics, Operational and Analytical Reporting, Financial Reporting BI Center of Excellence BI Knowledge Management and Training Approach The BI Methodology is an iterative, agile methodology that aligns business and technology. BI Strategy Deliverables BI Strategy BI Organization BI Governance Process & Policies BI Tools Business Track Organization Track Information Track Technology Track BI Roadmap BI Blueprint Execution Strategy BI Roadmap Business Case Business Benefits ROI BI Opportunities Quick Wins (Incremental) Governance Models Data Quality MDM Metadata COE Process Improvements Policies & Procedures Standards Leading Practices Governance Models Monitoring Business Intelligence Solutions BI Portals EDM Exchanges Slide 40

41 Thank you very much for your attention! This publication has been prepared for general guidance on matters of interest only, and does not constitute professional advice. You should not act upon the information contained in this publication without obtaining specific professional advice. No representation or warranty (express or implied) is given as to the accuracy or completeness of the information contained in this publication, and, to the extent permitted by law, PricewaterhouseCoopers AG, its members, employees and agents do not accept or assume any liability, responsibility or duty of care for any consequences of you or anyone else acting, or refraining to act, in reliance on the information contained in this publication or for any decision based on it All rights reserved. In this document, refers to PricewaterhouseCoopers AG which is a member firm of PricewaterhouseCoopers International Limited, each member firm of which is a separate legal entity.