© 2015 IBM Corporation

Big Data & Analytics Days, Part 1:Summary

Presenter Name and Contact Info

© 2015 IBM Corporation‹#›

Data is the new basis of competitive advantage.

Drive business outcomes by applying more sophisticated analytics across more disparate data sources in more parts of their organization.

Capture the time value of data by developing“speed of insight” and “speed of action”as core differentiators.

Change the game in their industryor profession with cognitive capabilities

Leaders will:

Our Point of View

© 2015 IBM Corporation‹#›

Why act now?

Create IT AgilityManage RiskOutperform

Only 1 in 5 organizations allocate more than 50% of IT budget to new projects

Of leaders cite growth as the key source of value

from analytics

Source:1 - IBM IBV Study: Analytics: A blueprint for value, October 2013 2 - IBM Global Study on the Economic Impact of IT Risk, 2013 3 - IBM Global Data Center Study, 2012

Of respondents were impacted by a cyber security breach over

the past 24 months

46%75% 1in5

© 2015 IBM Corporation‹#›

Imagine the possibilities of analyzing all available data

Real-time Traffic Flow Optimization

Fraud & risk detection

Accurate and timely threat detection

Predict and act on intent to purchase

Understand and act on customer

sentiment

Low-latency network analysis

© 2015 IBM Corporation‹#›

80%150%

95% 98.5%

The Opportunities from Big Data & Analytics Are Infinite

Reduction in

serious accidents

Revenue

growth rate

Accuracy monthly sales forecasts

On-time deliverytarget achieved

© 2015 IBM Corporation‹#›

#1 Build a culture that infuses analytics everywhere

Five Key Decisions

!• Develop a curiosity-driven and evidence-

inspired workforce. • Include analytics into everything

employees touch. • Move from elite few to empowered many. • Imagine what’s possible!

Start with your people

© 2015 IBM Corporation‹#›

#2 Apply analytics to improve your core competitiveness

Five Key Decisions

New business models

Operations

CustomerFinance

Risk

IT

Seek the right business use case(s)

© 2015 IBM Corporation‹#›

#3: Invest in capabilities driven by software

Five Key Decisions

!• Must be fluent in all forms of data and analytics. • Must be able to analyze data in motion. • Must be a joint business/IT initiative to deploy

the right capabilities at the right time. • Realize the promise.

Build against a master plan

© 2015 IBM Corporation‹#›

Landing, Exploration and Archive data zone

Operational data zone

Real-time Data Processing & Analytics

Harness all data and all paradigms

Transaction and application data

Machine, sensor data

Enterprise content

Image, geospatial, video

Social data

Third-party data

Information Integration & Governance

Deep Analytics data zone

EDW and data mart

zone

© 2015 IBM Corporation‹#›

Be more right, more often

What didI learn,

what’s best? Cognitive

What action should I take?

Decisionmanagement

Why did it happen? Reporting,

analysis, content analytics

What could happen? Predictive analytics

and modeling

What is happening? Discovery and

exploration

© 2015 IBM Corporation‹#›

Information Integration & Governance

Systems SecurityOn premise, Cloud, As a service

Storage

New/Enhanced ApplicationsAll Data

What action should I take?

Decision management

Landing, Exploration and Archive data zone

EDW and data mart

zone

Operational data zone

Real-time Data Processing & Analytics What is happening? Discovery and

exploration

Why did it happen?

Reporting and analysis

What could happen? Predictive

analytics and modeling

Deep Analytics data zone What did

I learn, what’s best?

Cognitive

Put in place the new architecture required

© 2015 IBM Corporation‹#›

#4: Be proactive about privacy, security and governance

Five Key Decisions

!• To trust the insight, you must trust

the facts. • Enable risk-aware decisions. • Protect sensitive data.

Forge approach while balancing risk

© 2015 IBM Corporation‹#›

To trust the data you must trust the facts

Integrate and Link Big Data

Manage Big Data Over Its Lifetime

Cleanse and Validate Big Data

Protect and Audit Big Data

© 2015 IBM Corporation‹#›

#5: Understand the levers of differentiation you can influence

Five Key Decisions

!• Enable:

• Source of value, measurement, platform • Drive:

• Culture, data, trust • Amplify:

• Sponsorship, funding, expertise !

* Analytics: A blueprint for value Converting big data and analytics insights into results IBM Institute for Business Value, 2013

From IBM Institute for Business Value* study

© 2015 IBM Corporation‹#›

Consider a Chief Data Officer to drive strategy to execution

Chief Data Officers

Elevate the Role of Data & Analytics

Accelerate Talent

Development

Cultivate Eminence

Accelerate innovation and transformation

Establish an agile and trusted big data and analytics foundation

Advance governance, privacy, and security of data

© 2015 IBM Corporation‹#›

Proactively set your course

Identify the high value opportunities in to exploit analytics on all types of structured, unstructured and real-time data

Scale by expanding to additional use cases, appointing a Chief Data Officer to institutionalize standards and engage the organization in new ways

Transform to a data-driven culture supported by strong governance principles and a corporate strategy that seeks to infuse analytics everywhere

Establish the right architecture and funding model to make the full range of data, and breadth of analytics, easily available to all

Prove value to business leaders by launching pilot programs centered on deeper data insight, cognitive learning, or business process efficiency

© 2015 IBM Corporation‹#›

New realities are causing disruption… and an opportunity for change and improvement.

Are you READY?

Charting your journey

© 2015 IBM Corporation‹#›

Big Data & Analytics is a journey.

Be proactive about privacy, security and governance

Build a culture that infuses

analytics everywhere

Invest in a big data & analytics platform

Imagine It. Realize It. Trust It.

© 2015 IBM Corporation‹#›