Mark Rittman, founder of Rittman Mead, discusses Oracle's approach to hybrid BI deployments and how it aligns with Gartner's vision of a modern BI platform. He explains how Oracle BI 12c supports both traditional top-down modeling and bottom-up data discovery. It also enables deploying components on-premises or in the cloud for flexibility. Rittman believes the future is bi-modal, with IT enabling self-service analytics alongside centralized governance.

1. info@rittmanmead.com www.rittmanmead.com @rittmanmead
Oracle BI “Hybrid Deployments”, or…
What’s all this about the Gartner BIAMQ 2016?
Mark Rittman, CTO, Rittman Mead
March 2016

2. info@rittmanmead.com www.rittmanmead.com @rittmanmead 2
•Mark Rittman, Co-Founder of Rittman Mead
‣Oracle ACE Director, specialising in Oracle BI&DW
‣14 Years Experience with Oracle Technology
‣Regular columnist for Oracle Magazine
•Author of two Oracle Press Oracle BI books
‣Oracle Business Intelligence Developers Guide
‣Oracle Exalytics Revealed
‣Writer for Rittman Mead Blog :
http://www.rittmanmead.com/blog
•Email : mark.rittman@rittmanmead.com
•Twitter : @markrittman
About the Speaker

4. Step back in time

5. 2010

12. 2016

18. info@rittmanmead.com www.rittmanmead.com @rittmanmead 15
Analytic Workflow
Component
Traditional BI Platform Modern BI Platform
Data source
Upfront dimensional modeling required (IT-built
star schemas)
Upfront modeling not required (flat files/
flat tables)
Data ingestion and
preparation
IT-produced IT-enabled
Content authoring Primarily IT staff, but also some power users Business users
Analysis
Predefined, ad hoc reporting, based on
predefined model
Free-form exploration
Insight delivery
Distribution and notifications via scheduled
reports or portal
Sharing and collaboration, storytelling,
open APIs
Gartner’s View of A “Modern BI Platform” in 2016

20. 2007 - 2015
Died of ingratitude by business users
Just when we got the infrastructure right
Doesn’t anyone appreciate a single version of the truth?
Don’t say we didn’t warn you
No you can’t just export it to Excel
Watch out Essbase you’re next

21. not quite

23. and what’s Oracle
been up to recently..?

24. info@rittmanmead.com www.rittmanmead.com @rittmanmead
Oracle Business Analytics Key Focus Areas Today
Pervasive Analytics
Analytics for everyone,
Complete deployment
flexibility and
portability
Consumerize Analytics
Socialize findings,
Collaborate, Mobile
Visual Analytics
Rich and easy to use,
Self service, Data
access

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OBIEE12c : The Hybrid, BIModal BI Platform

26. info@rittmanmead.com www.rittmanmead.com @rittmanmead 22
Analytic Workflow
Component
Traditional BI Platform Modern BI Platform
Data source
Upfront dimensional modeling required (IT-built
star schemas)
Upfront modeling not required (flat files/
flat tables)
Data ingestion and
preparation
IT-produced IT-enabled
Content authoring Primarily IT staff, but also some power users Business users
Analysis
Predefined, ad hoc reporting, based on
predefined model
Free-form exploration
Insight delivery
Distribution and notifications via scheduled
reports or portal
Sharing and collaboration, storytelling,
open APIs
Gartner’s View of A “Modern BI Platform” in 2016

27. info@rittmanmead.com www.rittmanmead.com @rittmanmead 23
Analytic Workflow
Component
Modern BI Platform
Data source
Upfront modeling not required (flat files/flat
tables)
Data ingestion and
preparation
IT-enabled
Content authoring Business users
Analysis Free-form exploration
Insight delivery
Sharing and collaboration, storytelling,
open APIs
Gartner’s View of A “Modern BI Platform” in 2016

28. info@rittmanmead.com www.rittmanmead.com @rittmanmead 24
IT as an Enabler for the Modern BI Platform

29. info@rittmanmead.com www.rittmanmead.com @rittmanmead 24
IT as an Enabler for the Modern BI Platform
Make it possible to acquire and
understand new data sources with no IT
involvement
Provide a means to discover schemas
Help with obfuscation and security
Support wider range of datatypes

30. info@rittmanmead.com www.rittmanmead.com @rittmanmead 25
IT as an Enabler for the Modern BI Platform

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•Extend dimensions within an existing Subject Area
•Add facts to an existing Subject Area
•Standalone analysis outside of Subject Areas
•Future plans to allow mashup metadata to be
promoted into main RPD model
‣In meantime, can be achieved through
process and accelerators
Self-Service Data Mashups for Business Agility

32. info@rittmanmead.com www.rittmanmead.com @rittmanmead 27
•Data reservoirs and Big Data Discovery, for landing and analysing data in “Raw” form
•Oracle Big Data Preparation Cloud Service, for discovering schema + preparing for analysis
Platforms for User-Driven Analysis of Raw Data
Data Transfer Data Access
Data Factory
Data Reservoir
Business
Intelligence Tools
Hadoop Platform
File Based
Integration
Stream
Based
Integration
Data streams
Discovery & Development Labs
Safe & secure Discovery and Development
environment
Data sets and
samples
Models and
programs
Marketing /
Sales Applications
Models
Machine
Learning
Segments
Operational Data
Transactions
Customer
Master ata
Unstructured Data
Voice + Chat
Transcripts
ETL Based
Integration
Raw
Customer Data
Data stored in
the original
format (usually
files) such as
SS7, ASN.1,
JSON etc.
Mapped
Customer Data
Data sets
produced by
mapping and
transforming
raw data

33. info@rittmanmead.com www.rittmanmead.com @rittmanmead 27
•Data reservoirs and Big Data Discovery, for landing and analysing data in “Raw” form
•Oracle Big Data Preparation Cloud Service, for discovering schema + preparing for analysis
Platforms for User-Driven Analysis of Raw Data
Data Transfer Data Access
Data Factory
Data Reservoir
Business
Intelligence Tools
Hadoop Platform
File Based
Integration
Stream
Based
Integration
Data streams
Discovery & Development Labs
Safe & secure Discovery and Development
environment
Data sets and
samples
Models and
programs
Marketing /
Sales Applications
Models
Machine
Learning
Segments
Operational Data
Transactions
Customer
Master ata
Unstructured Data
Voice + Chat
Transcripts
ETL Based
Integration
Raw
Customer Data
Data stored in
the original
format (usually
files) such as
SS7, ASN.1,
JSON etc.
Mapped
Customer Data
Data sets
produced by
mapping and
transforming
raw data

34. info@rittmanmead.com www.rittmanmead.com @rittmanmead 28
•Uses Spark MLlib machine learning to
profile data and recognise patterns
•Automates many of the routine data
preparation and profiling work
‣Spot credit card, SSN + other sensitive
data, recommends masking
‣Suggest appropriate names, datatypes for
columns based on
format and data patterns
•Allows analyst to focus on key tasks
‣Example of cloud app consumerization
Machine-Learning to Automate Data Recommendations

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•Primary datasource and target is Oracle Storage Cloud Service (like Amazon S3)
‣Oracle Big Data Cloud Service, Oracle DBaaS and others
•User can also upload / download files directly into Big Data Prep Service
Cloud Datasource Integration & File Upload/Download

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Future Option : Direct BDP > BICS Integration

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IT as an Enabler for the Modern BI Platform
Make provisioning more agile by
embracing “cloud” and “hybrid”
environments
Embrace cloud innovations around
service provision, even for on-premise
deployments

38. info@rittmanmead.com www.rittmanmead.com @rittmanmead 32
•Oracle Business Intelligence, re-imagined for the cloud
•Runs as part of Oracle Public Cloud, part of wider Oracle Platform-as-a-Service
•Pay monthly, min 10 users, rolling upgrades and new features
•Entirely thin-client, simplified administration
•Aimed at departmental use-cases
‣Sharing data from a spreadsheet
‣Team reporting
‣Development sandboxes
‣User-driven thin-client modeling, eventual
BAR file interchange with on-premise
Oracle BI Cloud Service - Agile Analytics in the Cloud

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•Thin-client data modeller continuously enhanced and extended
•Model against files, cloud and on-premise databases
•Upload on-premise RPD + Catalog to
create sandbox environments
•Support for variables, dimensions,
hierarchies, facts and main RPD elements
•Minimal modeling to support deparmental
use-cases and analysis
Thin-Client Data Modeller for Simple RPD Modelling

40. info@rittmanmead.com www.rittmanmead.com @rittmanmead 34
•Leverages BICS’s new “Upload RPD Data Models to the Cloud” feature
‣Migrate supporting DW to full Oracle DBaaS
‣Update on-prem RPD to connect to DBaaS
‣Upload RPD to BICS
•Create new Oracle Cloud users for BICS
•ETL can connect via SQL*Net, JDBC etc
•Use for wider use-cases than BICS incl.
‣Host full production platform (or test, dev)
‣Create development branches, etc
‣Hybrid environments
Hosting Full OBIEE Platforms in Oracle Public Cloud
Oracle BICS
Oracle DBaaS
RPD
Upload
ETL ToolsBI Administration On-Premise Source DB
Data Uploads
via SQL*Net

41. info@rittmanmead.com www.rittmanmead.com @rittmanmead 35
The Oracle Hybrid Analytics Journey
Business Leader Workgroup Enterprise
Data Visualization
On-Premise
OBI12c
+ Data Visualization
On-Premise
OBI12c
+ Data Visualization
+ Data Warehouse
On-Premise
Business Leader Workgroup Enterprise
Data
Visualization
Cloud Service
Business Intelligence
Cloud Service
(includes DV)
Business Intelligence
Cloud Service +
Database Cloud Service

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IT as an Enabler for the Modern BI Platform
User-driven data discovery
Free-form analysis
Connect to SaaS data sources
Standalone datasets, or semantic model

43. info@rittmanmead.com www.rittmanmead.com @rittmanmead 37
•Tableau-style data analysis tool aimed at data
analysts and self-service users
•Point-and-click exploration and visualisation
of datasets
•Uses BI Repository as data source, ensuring
“single-version-of-the-truth”
•Users can also add their own data, “for data
mashups”
•Coming in next 12 mths with OBIEE12c,
but available now in BICS
Oracle Visual Analyzer

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•Just the DV part of BICS
•Upload files, connect to SaaS
sources
•Simple, mobile-enabled data
visualisation
•Most probably aimed at ISVs
and SaaS apps
•On-premise DV releases
coming soon
Oracle Data Visualization Cloud Service

45. info@rittmanmead.com www.rittmanmead.com @rittmanmead 39
•Just the DV part of BICS
•Upload files, connect to SaaS
sources
•Simple, mobile-enabled data
visualisation
•Most probably aimed at ISVs
and SaaS apps
•On-premise DV releases
coming soon
Oracle Data Visualization Cloud Service

50. The Future is BiModal

51. The Future is Hybrid

53. http://www.rittmanmead.com

54. info@rittmanmead.com www.rittmanmead.com @rittmanmead
Oracle BI “Hybrid Deployments”, or…
What’s all this about the Gartner BIAMQ 2016?
Mark Rittman, CTO, Rittman Mead
March 2016