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corporaterewards.co.uk Big Data Discovery & Other Key Analytics Trends Timo Elliott, VP Innovation Evangelist SAP @timoelliott

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Page 1: UKISUG15 Big Trends in Big Data and Analytics

co rpo ra te rewards .co .uk

Big Data Discovery & Other Key Analytics TrendsTimo Elliott, VP Innovation Evangelist SAP

@timoelliott

Page 2: UKISUG15 Big Trends in Big Data and Analytics

Analytics is the #1 Spending Priority for 2015 and beyond

Rank Technology 2014 2015

1 BI/Analytics 50% 41%2 Infrastructure and Data Center 37% 31%3 Cloud 32% 27%4 ERP 34% 26%5 Mobile 36% 24%6 Digitalization / Digital Marketing 11% 17%7 Security 11% 13%8 Networking, Voice, and Data

Communications12% 12%

9 Customer Relationships 8% 11%10 Industry-Specific Applications 10% 9%

Gartner: Top 10 CIO Spending Priorities 2015@timoelliott

Page 3: UKISUG15 Big Trends in Big Data and Analytics

© 2015 SAP SE or an SAP affiliate company. All rights reserved. 3

Analytics Took Over The World…

@timoelliott

Page 4: UKISUG15 Big Trends in Big Data and Analytics

© 2015 SAP SE or an SAP affiliate company. All rights reserved. 4

By 2020, information will be used to

reinvent, digitalize, or

eliminate80%of business processes and

products from a decade earlier.

From The Back Office To The Business Models of Future

@timoelliott

Page 5: UKISUG15 Big Trends in Big Data and Analytics

© 2015 SAP SE or an SAP affiliate company. All rights reserved. 5

The Third Era of Information Technology

IT Craftsmanship IT Industrialization Digitalization

IT provides innovations and new

capabilities

IT supports efficiency, effectiveness, and

integrity

Engage

Offer

Monetize

Adapt

Create

Ideate

Digital provides continual opportunities for growth, innovation,

and differentiation

@timoelliott

Page 6: UKISUG15 Big Trends in Big Data and Analytics

© 2015 SAP SE or an SAP affiliate company. All rights reserved. 6

By 2020 data monetization efforts will result in enterprises pursuing digital transformation initiatives increasing the marketplace’s consumption of their own data by more than

100x

More Business Means More Data

Source: IDC Big Data and Analytics FutureScape 2015@timoelliott

Page 7: UKISUG15 Big Trends in Big Data and Analytics

Enterprise Data Remains One of The Top Strategic Projects

IDC Futurescape: Worldwide CIO Agenda 2015 Top 10 Decision Imperatives@timoelliott

Page 8: UKISUG15 Big Trends in Big Data and Analytics

© 2015 SAP SE or an SAP affiliate company. All rights reserved. 8

The Rise of the Chief Data Officer“The CDO is a senior executive who bears responsibility for the firm's enterprise wide information strategy, governance, analytics control, policy development, and effective exploitation.”

@timoelliott

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© 2015 SAP SE or an SAP affiliate company. All rights reserved. 9

Information Is Money

By 2016, 30% of businesses will have begun directly or indirectly monetizing their information assets via bartering or selling them outright. .

– Gartner 2015

”“

@timoelliott

Page 10: UKISUG15 Big Trends in Big Data and Analytics

© 2015 SAP SE or an SAP affiliate company. All rights reserved. 10

Convergence

Big Data

Planning

Data Science

Data Discovery

Cloud Analytics

Executive Dashboards

@timoelliott

Page 11: UKISUG15 Big Trends in Big Data and Analytics

© 2015 SAP SE or an SAP affiliate company. All rights reserved. 11

Big Data On The Gartner Hype Cycle

Source: Gartner, August 2014

Innovation trigger

Peak of Inflated Expectations

Trough of Disillusionment

Slope of Enlightenment

Plateau of Productivity

Big Data

@timoelliott

Page 12: UKISUG15 Big Trends in Big Data and Analytics

12© 2015 SAP SE or an SAP affiliate company. All rights reserved.

Big Data Discovery=

Big Data

Data Discovery

Data Science

Gartner Strategic Planning Assumption: By 2017, Big Data Discovery Will Evolve Into a Distinct Market Category

@timoelliott

Page 13: UKISUG15 Big Trends in Big Data and Analytics

© 2015 SAP SE or an SAP affiliate company. All rights reserved. 13

Big Data Discovery

• Volume, velocity, or variety of data

• Potential business impact

• Difficult to implement• Potentially expensive• Lack of skills available

• Ease of use• Agility and flexibility• Time-to-results• Installed user base

• Complexity of analysis• Potential impact• Range of tools• Smart algorithms

• Difficult to implement• Slow and complex• Narrow focus of

analysis

• Limited depth of information exploration

• Low complexity of analysis

BIGDATA

DATASCIENCE

DATADISCOVERY

@timoelliott

Page 14: UKISUG15 Big Trends in Big Data and Analytics

© 2015 SAP SE or an SAP affiliate company. All rights reserved. 14

Big Data Discovery

• Simpler to use than data science

• Accessible to a wider range of users

• Broad range of data manipulation features

• Able to handle new types of data sources

• With adequate performance for big data

BIG DATA

DISCOVERY

@timoelliott

Page 15: UKISUG15 Big Trends in Big Data and Analytics

© 2015 SAP SE or an SAP affiliate company. All rights reserved. 15

Potential impact per

user

Potential user base

The Rise of the Citizen Data Scientist?

Business analyst

Data scientist

Citizen data

scientist

@timoelliott

Page 16: UKISUG15 Big Trends in Big Data and Analytics

© 2015 SAP SE or an SAP affiliate company. All rights reserved. 16

Prescriptive Analytics

“By 2020, 50% of all business analytics software will include prescriptive analytics built on cognitive computing functionality”

IDC FutureScope 2015@timoelliott

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© 2015 SAP SE or an SAP affiliate company. All rights reserved. 17

Centerpoint Energy

@timoelliott

Page 18: UKISUG15 Big Trends in Big Data and Analytics

@timoelliott

Page 19: UKISUG15 Big Trends in Big Data and Analytics
Page 20: UKISUG15 Big Trends in Big Data and Analytics

© 2015 SAP SE or an SAP affiliate company. All rights reserved. 20

SAP HANA VoraWhat’s Inside and What Does It Do?

DemocratizeData Access

Make PrecisionDecisions

SimplifyBig DataOwnership

SAP HANA Vora is an in-memory query engine which leverages and extends the Apache Spark execution framework to provide enriched interactive analytics on Hadoop.

Drill Downs on HDFSMashup API

EnhancementsCompiled Queries

HANA-Spark AdapterUnified LandscapeOpen Programming

Any Hadoop Clusters

“By 2020, 90% of databases (relational and non-relational) will be based on memory-optimized technology”

IDC

@timoelliott

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© 2015 SAP SE or an SAP affiliate company. All rights reserved. 21

YARN

HDFS

Other Apps

Files Files Files

HANA-Spark Adapter for improved performance between distributed systems

Compiled queries enable applications & data analysis to work more efficiently across nodes

Familiar OLAP experience on Hadoop to derive business insights from big data such as drill-down into HDFS data

Compiled Queries

Spark Adapter

Drill Downs

SAP HANA in-memory platform

Vora

Spark

Vora

SparkIn-Memory

Store

Application Services

Database Services

Integration Services

Processing Services

Vora

SparkHANA-Spark

Adaptor

HANA Smart Data Access, UDFs, Others

Extensive programming support for Scala, python, C, C++, R, and Java allow data scientists to use their tool of choice,

Enable data scientists and developers who prefer Spark R, Spark ML to mash up corporate data with Hadoop/Spark data easily

Optionally, leverage HANA’s multiple data processing engines for developing new insights from business and contextual data.

SAP HANA VoraBringing Business to Big Data

@timoelliott

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© 2015 SAP SE or an SAP affiliate company. All rights reserved. 22

Bringing it All Together

ETL DW Q&R, Data

Discovery

Predictive Planning Other (spatial,

etc.)

Data Visualization

Operational Reporting

Enterprise Data Big Data

@timoelliott

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© 2015 SAP SE or an SAP affiliate company. All rights reserved. 23

SAP Cloud for Analytics

All Analytics. One Product.

All-embedded People-centric Enterprise-class

@timoelliott

Page 24: UKISUG15 Big Trends in Big Data and Analytics

24© 2015 SAP SE or an SAP affiliate company. All rights reserved.

#AskSAP Call on December 1st

Page 25: UKISUG15 Big Trends in Big Data and Analytics

Cloud Analytics

@timoelliott

Page 26: UKISUG15 Big Trends in Big Data and Analytics

© 2015 SAP SE or an SAP affiliate company. All rights reserved. 26

But…but… but…Security! Think Again

Many enterprises are paying an opportunity cost by allowing unwarranted security fears to inhibit their use of public cloud services that would be more secure, and more agile, than processes they implement within their own data centers.

– Gartner: Top Strategic Predictions for 2016 and Beyond

@timoelliott

Page 27: UKISUG15 Big Trends in Big Data and Analytics

© 2015 SAP SE or an SAP affiliate company. All rights reserved. 27

Analysts Becoming Strong Proponents of Cloud

Recent history has shown that virtually all public cloud services are highly resistant to attack and, in the majority of circumstances, represent a more secure starting point than traditional in-house implementations. No significant evidence exists to indicate that commercial cloud service providers have performed less securely than end-user organizations themselves. In fact, most available evidence points to the opposite.

– Gartner: Top Strategic Predictions for 2016 and Beyond

@timoelliott

Page 28: UKISUG15 Big Trends in Big Data and Analytics

© 2015 SAP SE or an SAP affiliate company. All rights reserved. 28

On-Premise Analytics Isn’t What It Used To Be…

“We found, on average, that 45% of the data business people use resides outside of the enterprise BI environments.

An astonishingly miniscule 2% of business decision-makers reported using solely enterprise BI applications.”

Source: Forrester

In enterprise sys-tems

Not in enterprise system

55%

45%

@timoelliott

Page 29: UKISUG15 Big Trends in Big Data and Analytics

© 2015 SAP SE or an SAP affiliate company. All rights reserved. 29

Others Are Investing

36%Already replaced or planning to replace

with SaaS BIwithin the

next 2 years

Source: "Application Adoption Trends 2015: The SaaS Boom Continues As Businesses Demand Agility“. Forrester

31%Already complementing or planning to complement

with SaaS BI within the

next 2 years

“Through 2020, spending on cloud-based big data and analytics technology will grow 4.5x faster than spending for on-premises solutions”

IDC Futurescape 2015

@timoelliott

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© 2015 SAP SE or an SAP affiliate company. All rights reserved. 30

The Opportunity

New Business Opportunities

Traditional Analytics

Data Value

Volume / Variety / Velocity of Data

@timoelliott

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31© 2015 SAP SE or an SAP affiliate company. All rights reserved.

“Intricate calculations of sales by territories will appear as if by magic in the digital age ahead”

@timoelliott

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32© 2015 SAP SE or an SAP affiliate company. All rights reserved.

Project Cybersyn: “devolve decision-making power within industrial enterprises to their workforce in order to develop self-regulation of factories.”@timoelliott

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© 2015 SAP SE or an SAP affiliate company. All rights reserved. 33

Decision Cockpits

@timoelliott

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© 2015 SAP SE or an SAP affiliate company. All rights reserved. 34

Multi-Screen Decision Making

@timoelliott

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© 2015 SAP SE or an SAP affiliate company. All rights reserved. 35@timoelliott

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© 2015 SAP SE or an SAP affiliate company. All rights reserved. 36

Data Discovery and Self-Service Analytics

“Through 2020 spending on self-service visual discovery and data preparation market will grow 2.5x faster than traditional IT controlled tools for similar functionality”

IDC@timoelliott

Page 37: UKISUG15 Big Trends in Big Data and Analytics

© 2015 SAP SE or an SAP affiliate company. All rights reserved. 37

Culture Clash Around Analytics

Internally-orientedCosts

GovernanceEfficient reuse

Customer-facingOpportunitiesFlexibility & speedExperimentation

IT Business

@timoelliott

Page 38: UKISUG15 Big Trends in Big Data and Analytics

© 2015 SAP SE or an SAP affiliate company. All rights reserved. 38

Culture: Suits AND Hoodies

Source: Gartner@timoelliott

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Design Thinking

@timoelliott

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© 2015 SAP SE or an SAP affiliate company. All rights reserved. 40

Ethics & Privacy

@timoelliott

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© 2015 SAP SE or an SAP affiliate company. All rights reserved. 41

Convergence

Big Data

Planning

Data Science

Data Discovery

Cloud Analytics

Executive Dashboards

@timoelliott

Page 42: UKISUG15 Big Trends in Big Data and Analytics

© 2015 SAP SE or an SAP affiliate company. All rights reserved. 42@timoelliott

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© 2015 SAP SE or an SAP affiliate company. All rights reserved. 43

Thank You!

Timo ElliottVP, Global innovation Evangelist

[email protected]@timoelliott