Why Infrastructure Matters for Big Data & Analytics

© 2014 IBM Corporation
Why Infrastructure Matters for Big Data
& Analytics
Richard Perret
Global Marketing Lead
Big Data & Analytics
rperret@us.ibm.com

Infrastructure Matters
Agenda
 Why Infrastructure Matters for Big Data & Analytics
 Data is the World’s Newest Resource
 Value at Every Point of Impact
 Why Access Matters
2
– Client example – Bank of Quanzhou: Delivering new offerings and services
 Why Speed Matters
– Client example – Coca Cola Bottling Consolidated: More data, faster
 Why Availability Matters
– Client example – Sui Southern Gas: Unprecedented visibility
 Why IBM
 How IBM Delivers

Infrastructure matters because business outcomes matter and new
outcomes entail new infrastructure demands
A wide range of innovations is
happening at the infrastructure layer,
as continued hardware improvements
drive new capabilities for compute,
storage, and networking and combine
with new innovations in software.
These will recombine in numerous
ways to create much more capable
infrastructure and application
platforms.
-- Brian Hopkins et al., Forrester Research, “Forrester’s Top 15 Emerging
Technologies To Watch: Now To 2018”, February 2013.
“
© 2014 3 IBM Corporation

What’s changing:
The world of Big Data & Analytics is expanding quickly
4
Data is the
world’s
newest
resource
Decision-making
extends from
few to many
As data value
grows, current
systems won’t
keep pace

5
Optimizing value at every point of impact
….Each decision, interaction & process
Big Data
&
Analytics
Infuse, Extend &
Integrate
Systems of
Record
• Infrastructure
• Security Intelligence
• Enterprise
Applications
Systems of
Engagement
• Mobile Commerce
• Call Center
• Social Business

This is the age of insight – organizations must harness big data and
analytics to know and act faster
6
1 in 2
business leaders don’t
have access to data they
need1
2/3
of CMOs want better
tools2
80%
Of CIOs are targeting
analytics for insights3
1 trillion
connected objects and
devices on the planet
generating data by 20154
2.5 billion
Gigabytes of data generated
every day5
80%
of the world’s data is
unstructured6

But not all organizations are ready…but they will be…
0%of companies report
that their IT infrastructure
is fully prepared to meet the
demands of big data…
62%of companies plan to
increase their infrastructure
spend in the next 12-18 months
Why?
#1 reason companies invest in IT Infrastructure?
To achieve competitive differentiation…
The Infrastructure Matters because business outcomes matter.

Access Matters Speed Matters Availability Matters
8
To get new levels of
visibility into customers
and operations
To consistently deliver
insights to the people
and processes that need
them
To accelerate insights in
real-time at the point of
impact
Obtain new levels of
customer intimacy and
differentiation with shared
and secure access to all
relevant information no
matter what it is or where it
resides.
Empower employees
with insights, when they
need it, maximizing
right-time availability to
improve collaboration to
solve problems and
grow opportunities.
Optimize decisions in real-time
by embedding
intelligence into
operational processes
using integrated high
performance infrastructure
capabilities.

9
Access Matters
To get new levels of visibility into customers and
operations.
Infrastructure must enable shared and secured access
to all relevant data, no matter it’s type or where it resides.
Obtain new levels of customer intimacy and
differentiation with shared and secure access to all
relevant information no matter what it is or where it
resides.
IBM offers industry leading capabilities
 Scalability (-in, -out, -up)
 Efficient virtualization and resource management
 Optimized data storage and access
 Data tiering and compression
 Parallel processing
 Optimized compute
IBM Real-Time Compression:
Access 5X the data in the
same space!1
IBM Elastic Storage:
A single file system to manage
20 Petabytes of big data2

The Bank of Quanzhou
Using analytics to identify trends to develop new products and services
150%
increase in high-value business
customers
1100
Create a Customer Focused Enterprise
New solution gives the bank a more holistic
view into the banking and investment behavior
of its customers, helping the company offer
products that appeal to customers based on
their preferences and needs.
Access Matters
Core Infrastructure Capabilities
Data
Optimization
Parallel
Processing

1111
Speed Matters
To accelerate insights in real-time at the point of impact.
Infrastructure must build intelligence into operational
events and transactions.
Optimize decisions in real-time by embedding intelligence
into operational processes using integrated high
performance infrastructure capabilities.
 Parallel processing
 Low-latency resources, such as flash memory
 Ability to scale up, in and out rapidly
 Optimized systems brings analytics accelerators closer
to systems of record
 Specialty workload engines
Complex queries can now
be processed up to
2,000x faster1
20X more data access
to deliver faster
insights2

Coca Cola Bottling Co. Consolidated
Delivering deeper insight into customer demand four times faster
20x
More data faster for better
insights
1122
Delivers deeper demand insights four times
faster; helps match manufacturing output
with demand, reducing risk of over- or
under-stocking; enables earlier logistics
planning, increasing profitability.
Speed Matters
Data
Optimization
Low Latency
Create responsive logistics planning

1133
Availability Matters
To consistently deliver insights to the people and
processes that need them.
Infrastructure must maximize the availability of
information and insights at the point of impact.
Empower employees with insights, when they need it,
maximizing right-time availability to improve
collaboration to solve problems and grow opportunities.
 Low latency resources
 Scalability (-in, -out, -up)
 Self-healing capabilities
 Enterprise-grade systems software that provides
continuous management and access
 Single-site and multisite clustering solutions
73% fewer outages vs.
commodity platforms1
Resilient storage
architectures –
99.999% uptime2

Unprecedented visibility of
company operations for
improved decision-making
14
The solution overlays digital maps with real-time
operational and financial data, enabling SSGC to
visualize and analyze data in a real-world context
The use of Data Analytics helps ensure better,
effective and smarter usage of gas and helps
curtail the growing gap between gas supply and
demand.
Sui Southern Gas Company Limited
Gaining user-driven reporting with real-time updates
Availability Matters
Data
Optimization
Scalability
Create a Customer Focused Enterprise
“Business users now have the power to run forecasts,
to test new ideas, and to see the impact of changes
almost immediately.”
– Kashif Qadeer, Deputy General Manager (Business
Systems), Sui Southern Gas Company Limited

Building on the experience of thousands of client engagements, IBM
offers unique infrastructure capabilities to rapidly create value
15
Optimized capabilities designed for big
data and analytics workloads
DB2 BLU on Power – 7-10X lower TCO
Reference Architectures for Hadoop and
Streams – faster TTV
IBM Elastic Storage –enterprise-grade scale
out file system
Platform Symphony – record setting
benchmark for Hadoop workloads
Innovation in scale-out computing –Linux
on Power
Faster insights with CAPI technology
designed for big data.
Storage Innovation for big data & analytics
 Real-time compression – 5X more data no
performance hit
 IBM MicroLatency™ - 100x performance
improvement
 FlashSystem storage can drive down costs
by 50%
Analytics closer to the data – System z
 Cognos and SPSS - Integrated
Transaction and Analytics Platform on z
 System z IDAA – 2000x faster analytics
closer to the data
 Hadoop on System z

Why IBM Big Data and Analytics infrastructure technologies?
16
IBM delivers
 One of industry’s broadest solution portfolios
 IBM Systems is a market leader in support of analytics workloads
 Ability to embed analytics as part of the business solutions
 Hardware and software integration and optimization to speed time to value
 Leadership in advanced predictive analytics
 Broad coverage of unstructured information sources
 More than $14B in Acquisitions since 2005
 More than 10,000 Technical Professionals
 More than 7,700 Dedicated Consultants
 Largest Math Department in Private Industry
 More than 27,000 Business Partner Certifications

17
Thank you!
ibm.com/big-data-infrastructure
YTP03263-USEN-02

Why Infrastructure Matters for Big Data & Analytics

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