Oracle analytics cloud overview feb 2017

Copyright © 2016, Oracle and/or its affiliates. All rights reserved. |

Oracle Analytics CloudOverview and Demo

Ashish JainPrincipal PM, Oracle Analytics Product ManagementFebruary, 2017


Safe Harbor Statement

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

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Session Agenda

Overview of PaaS

Introduction to Oracle Analytics Cloud

Features and Capabilities

Demo

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Oracle Cloud Platform

DATA MANAGEMENT

IT OPERATIONSMANAGEMENT

IDENTITY MANAGEMENT

CONTENT &PROCESS

APPLICATION DEVELOPMENT

INTEGRATION

MOBILE

BUSINESS ANALYTICS

Copyright © 2016, Oracle and/or its affiliates. All rights reserved. |Copyright © 2016, Oracle and/or its affiliates. All rights reserved. |

ANALYSTS

• Faster time to insights

• Share, collaborate and maximize community‘s wisdom

BUSINESS LEADERS

• Easy, timely, proactive business insights

• Empower to go beyond consuming others’ findings

DEVELOPERS

• Develop and deploy analytic applications for people to customize and personalize

• Embed analytics in any application context

Smart Analytics for Everyone

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Analytics is an integral part of our lives!!!

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ANALYSTS



BUSINESS LEADERS



DEVELOPERS




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Liberate All Data From All Sources

Easy access to a variety of data sources

• Few clicks to setup and use

• Vast number of sources supported

• Expanding coverage to enable access to every industry-specific source via native connectors or developer community

In-line and “extract and analyze”

• IP built over two decades in function shipping (source-specific code generation) and internal execution now powers business user self-service

CONNECT &PREPARE

SAAS / PAAS

DATABASES

BIG DATANO SQL

OTHERS

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Smart Connectors for SaaS Applications

• Access to business entities, not just tables and columns

• Respects security, business rules, and governance on source systems

• Browse and select thousands of packaged views as data sources

• Leverage calculations and business logic in reports

CONNECT &PREPARE

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No re-work required


Improve All Data with Powerful Data Prep CONNECT &PREPARE

Power of SQL via intuitive interfaces

•Group values, join data sets, sub-select rows/columns, aggregate, calculated fields etc.

Applicable to all types and volumes of data

• BI Server SQL processing - function shipping via smart code generation, compensate with in-memory execution

Function extensibility via R and source execution

• Full R grammar for statistical, Machine Learning, textual models

• Reach-in to data sources’ specific routines (eg. Machine Learning in Spark, custom functions) while operating on a single data abstraction

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Find Hidden Patterns with Smart Data Discovery SEE &DETECT

Automatic detection of data patterns

•Guide users towards strongest correlated factors and variances from norm

Auto-blending, intelligent visualizations

• Easy blending of data sets with the most appropriate handling to avoid double counting (fan-trap, chasm-trap)

• Auto-default to the appropriate visualization for a given data set

Search enablement everywhere

• Powers the BI ASK experience (covered later)

• Type ahead in expression editor, data set browser etc.

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Extensible, Grammar-Driven Visualization Palette SEE &DETECT

• Rich palette of chart types, combo charts of lines, areas, bubbles, and more

• Trellising for every visualization; customizable color palette

• Brushing – highlight correlations within data across visualizations, all auto-wired to work/update in unison, leveraging in-memory cache/execution layer

•One click access to common statistical functions – outliers, trend lines, forecasts for N periods, others

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Best Data Visualization Capabilities


Predictive Model Creation and Scoring

Data Profiling

• Automatic hierarchy detection

• Identify data quality issues and potential fixes by scoring columns

Smart Models

• Enable easy incorporation of template-driven statistical, predictive and textual (feature extraction) models which can then be used for scoring with data sets

Model generation, scoring

• Allow users to persist models and score – batch and inline

• Scalable function shipping for high performance and responsiveness

SEE &DETECT


ANALYSTS



BUSINESS LEADERS



DEVELOPERS




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Tell Better Stories with Your Findings

Interactive data storytelling

• Evaluate each story point, “kick the tires” and validate conclusions

• Presentation mode enables focus on the story point, while offering complete interactivity

• Freeform text and images enable in-place discussions

Consume anywhere

•Mobile, desktop and browser

•Native integration with mobile platforms to enable seamless hand-offs, screen-shares, and more

LEARN &SHARE

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Talk to Your Data with BI Ask

Powerful, intuitive keyword search

• Interprets semantic layer, user private data, expression library and catalog artifacts

• Voice-enabled

• Fuzzy match, stemming, natural language processing

•Generates on-the-fly queries - visualizations are auto-created while user types

•Mobile

• Browser

•Desktop

Available on all platforms

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LEARN &SHARE


Build Collective Intelligence with Day by Day LEARN &SHARE

• Infuse data-based insights into daily activities

•Get customized feeds based on what you are interested in, when and where you are interested in it, and who you collaborate with

• Anticipates your needs and delivers appropriate information to help you make better informed decisions throughout the day

•Use your device’s voice capabilities to obtain answers

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Anticipates questions through self-learning


ANALYSTS



BUSINESS LEADERS



DEVELOPERS




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Analytics Cloud – Complete Platform for Managed Data Discovery

• Full self-service but with visibility, promotion and handoff

• Easy web-based data modeling or lift and shift existing models

• Purchase by processors or users, metered or committed

• Fully Oracle Managed or customer managed options

• API based scaling, patching, backup, and other lifecycle options

• Full networking and storage flexibility on Oracle IaaS

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Unified platform for Managed Data Discovery

MODEL &BUILD

MY SUBJECT AREATerritoryQuarterProductTarget…

PERSONAL – NOT MODELED –

CRM

EDW

Territory

Sales

Revenue

Inventory

Time``

Product

ENTERPRISE – MODELED –

BI CLOUD SERVICE

350K

300K

250K

200K

150K

100K

50K

0K

Scalable and flexible


Essbase Cloud Service – Building Agile Enterprise

Iterative Scenario Analysis

•Modernized architecture for cloud

• Personal to enterprise business modeling

• Sandbox for scenario analysis/what-if

•Next generation Excel integration includes cube design, dimension modeling and KPI’s

•Wide-range of business modeling and management reporting applications

• Integration with Data Visualization Cloud Service

MODEL &BUILD

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Easily Extensible by App Developers

Visualization SDK

•Develop custom visualizations

• 100% functional, LCM parity with native visualizations

Function extensibility

• Extend the expression library with custom functions (e.g., stats, machine learning or textual functions)

• Full power of R and native data source grammar

• Leverage custom functions anywhere – Visual discovery, Data Prep, and more

Data source extensibility

• Add data connectors to non-native sources

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MODEL &BUILD


Embed Analytics Anywhere DEPLOY &SCALE

Layered architecture with well-defined access points

• Seamless UI embedding – Context propagation, skinning flexibility, seamless bi-directional navigation from/to analytic content, well-defined REST endpoints

• Leverage as an analytic service – SQL access and easy catalog navigation powers easy access to semantic layer and all user/workgroup extensions

• Design highlight – Externalization of security (functional, data, artifact), business rules, configuration to enable full flexibility to application developer

Oracle Analytics is embedded in millions of users’ day-day experiences

• Oracle HR SaaS: Oracle HR Cloud, Oracle Talent Cloud

• Oracle CX SaaS: Oracle Sales Cloud, Oracle Marketing Cloud (Eloqua and Responsys), Oracle Services Cloud

• Oracle ERP SaaS and Oracle SCM Cloud

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Demo


Oracle Analytics Cloud – Unified Analytics

• Bundle of capabilities for each target use case

– Enterprise data analytics

– Departmental MOLAP and data visualization

– Personal data visualization

• Easy purchase options

– OCPU, user based

– Metered (hourly and monthly)

– Subscription

• Easy to change

– Customers can change deployment as needed

Oracle Confidential – Internal/Restricted/Highly Restricted 24


Build Once, Run Anywhere - Cloud, Hybrid, On-Prem

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BI Cloud Service

OBIEE On-Premises

Oracle DB CloudAmazon Cloud

Data Integration PaaSOracle and Others

Oracle DB CloudAmazon Cloud

Data Integration PaaSOracle and Others

CLOUD

ON-PREMISES

Complete choice of deployment•Build on-premises, deploy on cloud

•Deploy new applications on cloud

•Enable workgroups on cloud, allow them to access on-prem semantic layer as a data source

•Run analytics on the cloud, keep your data on-premises

Change your mind anytime•Lift and shift all your applications

to the cloud (on-prem )


Resources

• DV Blog:

• http://oracledataviz.blogspot.in/

• Plugin Store

– https://sites.google.com/site/oraclebipublicstore/

• YouTube demo

– https://www.youtube.com/user/OracleBITechDemos

• Download DVD

– http://www.oracle.com/technetwork/middleware/oracle-data-visualization/downloads/oracle-data-visualization-desktop-2938957.html

http://oracledataviz.blogspot.in/

https://sites.google.com/site/oraclebipublicstore/

https://www.youtube.com/user/OracleBITechDemos

http://www.oracle.com/technetwork/middleware/oracle-data-visualization/downloads/oracle-data-visualization-desktop-2938957.html


Questions?

Oracle analytics cloud overview feb 2017

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Transcript of Oracle analytics cloud overview feb 2017