IBM Cloud

Hybrid Data ManagementGain value from your data without limits

Chris ReuterNorth America Data Warehouse SalesIBM Analytics

March 2018

IBM Cloud

1Themes of data

2Data Management Strategy

IBM’s Vision

4Recap – where have we been?

Agenda

3

IBM Cloud

1Themes of data

2Data Management Strategy

IBM’s Vision

4Recap – where have we been?

Agenda

3

IBM Cloud

Data will see a 30% CAGR through 2025

IDC in Seagate: The Data Age

Information courtesy of IDC. Seagate: The Data Age. Available here.

IBM Cloud

Theme #1: Data is growing, and growing fast

5

Real-time data and cognitive/artificial intelligence systems will change the landscape

2025 Projections30% CAGR through 2025

Average connected person will interact with 4,800 devices/day

163 ZB to be created in 2025 (4 ZB created in past 20 years)

A greater share of data will be critical

Information courtesy of IDC. Seagate: The Data Age. Available here.

Time

IBM Cloud

Investment growth in AI has grown 3x since 2013

McKinsey – Artificial Intelligence: The Next Digital Frontier?

Link to McKinsey -- Artificial Intelligence: The Next Digital Frontier?

IBM Cloud

Theme #2: Data Science and Machine Learning

7

How can my analytics deployments transition from the simple to the complex?

Link to McKinsey -- Artificial Intelligence: The Next Digital Frontier?

Demand for data scientists will rise by more than 28% between now and 2020 – IBM

Citizen data analyst has grown 5x that of traditional data scientists –Gartner

Investment in AI and Machine Learning has grown 3x from 2013 2016 –McKinsey

Only 12% of machine learning use cases have progressed past experimental – McKinsey

IBM Cloud

There is value in all approaches to cloud, whether the strategy is pure cloud or not, depending on the enterprise and end goals.

Gartner – Cloud Strategy Leadership

Gartner – Cloud Strategy Leadership

IBM Cloud

Theme #3: Deployment Uncertainty

9

Where is the right place to deploy my data?

The deployment spectrum

100% On-prem 100% Cloud

“I love the flexibility and scalability of cloud. Plus, it eliminates my need for redundant systems!”-Every client ever

5 MINUTES LATER“The transition to cloud is risky. I don’t want to rewrite my SQL, my ETL or my apps. I don’t wantto lose control of my own security measures.”

-Also every client ever

You’re going to be somewhere in here

A TYPICAL CONVERSATION

IBM Cloud

1Themes of data

2Data Management Strategy

IBM’s Vision

4Recap – where have we been?

Agenda

3

IBM Cloud

Why you need a data management strategy

15%

of organizationsfully leveragedata and analytics

— Forbes

0.5%

of all data isactually analyzed

— MIT Technologyreview

10%

increase in data accessibility will result in more than $65 M additional net income

— Baseline Magazine

80%

of all data is stored by corporations

— Baseline Magazine

50%

of large enterpriseswill have hybrid cloud deployments by the end of 2017

— IBM Institute forBusiness Value

11

Data is proliferating, it’s stored in different locations and formats.Businesses don’t do a good job of accessing all possible data!

IBM Cloud

Innovation

Create and own the data management strategy

Self-service

Remove restrictions and democratizeaccess to data

Flexibility

Ability to choose deployment and licensing models, workload types, technologies

Efficiency

Optimize data architecture and life cycle management to reduce cost, increase performance and protect existing investments

Enterprise-strong

Address data sprawl, workloads and open source technologies that can scale withthe business

Portability

The ability to move data and insights where needed, without the requirement to re-architect applications

12

What our customers are trying to solve

IBM Cloud13

The elements of a good hybrid data management strategy

Gain value

from your data

without limits

Access your dataAll sources and all types

FlexibilitySupport all data types, all workloads,all consumption models

Intelligent analyticsMake better decisions,provide smarter capabilities

Democratize accessProvide data-driven decisions to everyone

Analytics for all dataEasily query all of your data

Cloud journeySupport your data regardlessof location

IBM Cloud

1Themes of data

2Data Management Strategy

IBM’s Vision

4Recap – where have we been?

Agenda

3

IBM Cloud

…Hybrid

IBM’s strategy is…

15

NOT about Cloud OR On-premises…

NOT about Traditional Relational OR Open Source…

NOT about SQL OR NoSQL…

NOT about Structured OR Unstructured Data…

It’s about Cloud AND On-premises

It’s about Traditional Relational AND Open Source

It’s about SQL AND NoSQL

It’s about Structured AND Unstructured Data

IBM Cloud

The framework for success

16

• Application compatibility

Write once, run anywhere

• Operational compatibility

Reuse operational and

housekeeping procedures

• Standardized analytics

Common programming model

for in-DB analytics

• Ecosystem

One ISV product certification

for all platforms

• Licensing

Flexible entitlements for business

agility and cost-optimization

• Integration

Common Fluid Query capabilities for

query federation and data movement

Managed

public

Cloud DBaaS

Db2

on Cloud

Software

defined

warehouse

on-premises

or in cloud

Db2

warehouse

Custom

deployable

database

Db2

Open source

Hadoop with

Hortonworks

Big SQL

Dedicated

analytics

appliance

IBM Integrated

Analytics

System

IBM Hybrid Data Management solutions

Anchored by a Common SQL Engine enabling true, highly scalable

hybrid data warehousing solutions with portable analytics

IBM Cloud

Differentiated value

17

IBM

Hybrid Data

Management

Go at the speed

of your business

With faster analytics

through HTAP and

BLU Acceleration

More intelligent

analytics

With embedded

machine learning

and HTAP

Write once,

run anywhere,

from any source

With a Common SQL

Engine and federation

Deploy your data

where you need it

With options for

on-premises and cloud

IBM Cloud

Access data from any source Write your applications to pull data from IBM and our solutions can provide

transparent access to other data sources.

18

Your

applicationsIBM

Hybrid Data

Management

Other

data sources

IBM Cloud

More intelligent analyticsDrive more value from your data with the ability to run analytics

where the data lives using tools already preferred by

analytics professionals

19

Jupityr Notebooks

built-in

Integration with model

building tools

Spark built-in

Integration with BI and

visualization tools

Embedded

Machine

Learning

IBM Cloud

Public cloud

Deploy your data where you need it

• Enables a controlled journey to the cloud

• Offers flexibility in choosing the form factor

(combinations) that best suit the business needs

• Accelerates time to value:

− Start small and move fast

− Enable course corrections without penalties

• Bridge data stores for seamless data

integration or application movement

• Write once — run anywhere application paradigm

20

Private cloud On-premises

IBM Cloud

1Themes of data

2Data Management Strategy

IBM’s Vision

4Recap – where have we been?

Agenda

3

IBM Cloud

Get started today

Learn more:

Visit the IBM marketplace

page - Hybrid Data

Management

Learnmore

Trials and downloads:

Available on ibm.com

Get started using IBM

Cloud services

Tryit out

DataFirst Method:

Provides the strategy,

expertise and roadmap to

ensure organizations gain

the most value from data

and achieve their goals

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