business analytics, big data, and the cloud

Copyright © 2014, Oracle and/or its affiliates. All rights reserved. |

Business Analytics, Big Data, and The Cloud Sogeti-Ovum BI & IM Symposium Bussum, The Netherlands

Paul Rodwick Vice President, Product Management, Oracle 24 November 2014


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.

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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Copyright © 2014, Oracle and/or its affiliates. All rights reserved. | 3

What Big Data trends affect

analytics?

How quickly is Cloud Computing

affecting analytics?

With so much change, where can

we start?

Key Questions


Big Data Disruption

Digitization × Datafication

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Use Data

12%

Executives who feel they understand the impact data

will have on their organizations

Produce Data


There is Progress to be Made

Source: Retail CIO Download 2014 Agenda: Leadership and Agility, 2014, “Global Insights on Succeeding in the Customer Experience Era” survey of 1300 senior level execs in North America, Europe, Asia Pacific and Latin America , 2013.

Of CIOs say turning massive amounts of data into usable

business analytics is their greatest concern

46% 37%

Are just getting started with formal big data projects

20% Consider their big data

initiative to be “advanced”

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*Source: Computerworld Strategic Marketing Services, February-March 2014 Cloud Survey **Source: GigaOM Research and VC North Bridge

Cloud Adoption Is On Fire!

Cloud is Mainstream

• Using Cloud today or will be in Two Years

84%

Cloud Growth is Exploding

• Cloud computing growing faster than traditional IT investment

5X


Top Cloud Benefits: Agility and TCO

88%

89% Greater Business Agility

Better Use of Resources

87% Rapid implementation of Business Models

87% Lower Capital Expense

81% Fewer Operational Issues

Source: Computerworld Strategic Marketing Services, February-March 2014 Cloud Survey

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http://www.northbridge.com/2013-future-cloud-computing-survey-reveals-business-driving-cloud-adoption-everything-service-era-it


Cloud BI is at a Tipping Point

46% of organizations will have considered a cloud BI deployment by 2015

30% of organizations have considered a cloud BI deployment over the last 5 years


Cloud is creating a tipping point

• IT Relevancy • Shadow BI projects • IT leaders leverage cloud

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Speed over consistency

Visual data discovery

Embedded analytics

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Business user demands are changing


• Big Data • Cloud • Changing User Demands

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IT is in a time of transition Lead, or Follow


Some fundamentals remain constant

• Value from combining multiple data sources

• Consistent, transparent metrics improve accountability

• Information integrity through governance


The race is on


STRATEGY FIND YOUR BIG DATA KILLER APP

ARCHITECTURE MAKE BIG DATA BUSINESS AS USUAL

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Big Data requires a Big Data architecture

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“By 2015, organizations that build a modern information management system will outperform their peers financially by 20 percent.”

– Mark Beyer, Gartner


Enterprise Big Data Strategy

BIG DATA MANAGEMENT

BIG DATA ANALYTICS

BIG DATA APPLICATIONS

BIG DATA INTEGRATION

CREATE VALUE FROM DATA

Streaming + Batch

Data Reservoir + Data Warehouse

Discovery + Business Analytics

Mobile + Web + On-device


Simplify access to all data

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Surprise: Technologies behind Big Data

0% 10% 20% 30% 40% 50% 60%

Hadoop

Cloud

EDW

What technologies is your organization using or planning to use to derive value from big data?

Nick Heudecker and Lisa Kart, Gartner, Survey Analysis: Big Data Investment Grows but Deployments Remain Scarce in 2014, 9 September 2014.


“There are a lot of commonly held beliefs about big data that need to be

challenged, with the first being that you simply adopt Hadoop and are

good to go. The problem is that Hadoop is a technology, and big data

isn't about technology. Big data is about business needs. In reality, big

data should include Hadoop and relational [databases] and any other

technology that is suitable for the task at hand.”

– Ken Rudin, Head of Analytics, Facebook

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Build a Data Reservoir

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NoSQL



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Oracle Innovation: Big Data SQL

NoSQL



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Oracle Innovation: Big Data SQL

NoSQL


How Important Is Security for Big Data?

Just as important as for my other enterprise

data

Very Important Not much of an issue Haven’t even thought about it

Other

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Discover and predict, fast

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Top-cited Challenges with Big Data Projects

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1. Determining how to get value

2. Governance

3. Integrating multiple sources

4. Obtaining skills


Top-cited Challenges with Big Data Projects

1. Determining how to get value

2. Governance

3. Integrating multiple sources

4. Obtaining skills

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Requires a Fundamentally New Approach

An intuitive and visual user interface

for anyone to quickly find, explore, transform and analyze data in Hadoop

then share results for enterprise leverage

Explore

Transform Analyze

Find

Data Warehouse

Business Intelligence

Advanced Analytics

Other Hadoop Tools

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Oracle Big Data Discovery. The Visual Interface for Hadoop

Explore

Transform Analyze

Find

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Actionable Events

Data Reservoir

Data Factory Data Warehouse

BI and Reporting

Discovery Lab

Actionable Information

Actionable Insights

Data Streams

Execution

Innovation

Discovery Output

Events & Data

Next Generation Data Management Architecture

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Enterprise Data

Web & Social Data

Event Engine


Personalized banking based on big data, analytics

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Location-based services, advanced analytics finds patterns and correlations

Better customer knowledge = better customer service


“…CaixaBank has partnered with Oracle to develop a new technology platform that can help improve the business and enable the bank to anticipate the needs of customers with a 360 view of the customer1”

Juan Maria Nin

CEO CaixaBank

1Mentioned in a business review with financial analysts in London, 26 March 2014


How To Get Started

BIG DATA MANAGEMENT

BIG DATA ANALYTICS




1. Transform the business


How To Get Started

BIG DATA MANAGEMENT

BIG DATA ANALYTICS





2. Lay the foundation


How To Get Started



2. Lay the foundation

3. Pilot BIG DATA

ANALYTICS BIG DATA

APPLICATIONS


BIG DATA MANAGEMENT


Deploy as a Service in the Cloud

BIG DATA MANAGEMENT

BIG DATA ANALYTICS




Data Enrichment Integration

Database Hadoop

Analytics Big Data Discovery

Horizontal and Industry applications

Copyright © 2014, Oracle and/or its affiliates. All rights reserved. | Copyright © 2014, Oracle and/or its affiliates. All rights reserved. | 38

Bigger Smarter

Easier

Cheaper Better

Faster VALUE IN ANY FORM


Thank You!

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[email protected] @paulrodwick www.linkedin.com/pub/paul-rodwick

business analytics, big data, and the cloud

Data & Analytics