Big Data & Analytics Day: Part 1 Summary

© 2013 IBM Corporation

Big Data & Analytics Days, Part 1:Summary

© 2014 IBM Corporation2

Data is the new basis of competitive advantage.

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

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

Change the gamein their industryor profession with cognitive capabilities

Leaders will:

Our Point of View


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, 20133 - IBM Global Data Center Study, 2012

Of respondents were impacted by a cyber security breach

over the past 24 months

46%75% 1in5


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


The opportunity for value is infinite

30%Reduction in heating bills

15 min Response time

to requests

70%Counterparty

measurements changed

150% Revenue

growth rate

95%

Accuracy of 18+ month sales forecasts

[Yourcompany

here] 80%

Less time required to open an account

80% Reduction in

serious accidents

http://www.google.com/url?sa=i&rct=j&q=&esrc=s&frm=1&source=images&cd=&cad=rja&docid=5q9PX7BDyQbRtM&tbnid=Qcl9xPLj1zkY1M:&ved=0CAUQjRw&url=http://zozotown.com/en/_news/1226/default.html&ei=H4ASUbyUIrPq0QGSnYCgAg&psig=AFQjCNHabrV9sNS1KoyLlL7fDwedVWlIBg&ust=1360253319110502




#1Build 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


#2Apply analyticsto improve your core competitiveness

Five Key Decisions

New business models

Operations

CustomerFinance

Risk

IT

Seek the right business use case(s)


#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


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

Enterprisecontent

Image, geospatial, video

Social data

Third-party data

Information Integration & Governance

Deep Analytics data zone

EDW anddata mart

zone


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


Information Integration & Governance

Systems Security

On premise, Cloud, As a serviceStorage

New/Enhanced Applications

All 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


#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


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


#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


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


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


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

Are you READY?

Charting your journey


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.


Intro to Bluemix

Deep Technical Breakdown of the Demo

Build an IoT application with Hands on Labs

Predictive analytics with SPSS

Extending the demo scenario



Technology

Big Data & Analytics Day: Part 1 Summary