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Big Data Value Adaptive Engines Fueled by M2M and Open Source Data Quentin Fisher, Big Data & Analytics

May 14th, 2013

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The Information Hidden in Big Data Can Help Organizations Win in Today’s Environment … if the Dots Can Be Connected

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In a Data-to-Data World, Breakthroughs Occur When Different Types of Information Intersect

Private

Public health data

Provider data

Refined diagnosis

Public

Shared

Internal data

Social media

Cross-sell/ up-sell Machine data

Supply chain

Optimized operations

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Bringing Big Data and Analytic Technologies Together Creates Competitive Advantage

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Moving Business Analytics to the Next Level Integrating M2M, Data Services and Open Source Data Drilling

In Memory BIG DATA Repository & Replication Services

Adaptive Analytical App Factory

Machine-to-

machine Data

Enterprise Transactional &

Analytic Data

Transactional Systems

BI Cubes

EDW EDW

EDW

Volunteered

Social Data

Data Services &

Open Source

CSC MachinEdge©

SAP SAP software

SAP HANA

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CSC’s Adaptive Analytics Framework and App Roadmap

Production Operations

Operations Performance

Management

Condition Based & Predictive

Maintenance

Master Data Management

Real-Time Asset Utilization

Employee Churn

Security and Intelligence

Threat Assessment Analytics

Vulnerability Assessment and

Analytics

Trade Surveillance

Domain Awareness

Geo-Spatial Analytics

Financial Services

Trading Pattern Analytics

Real Time Systematic Risk Mgmt

Compliance and Regulatory

Fraud Detection & Security Analytics

Utilities Invoice Insights

Utilities Collection Optimization

Service and Aftermarket

Services Utilization

Services Targeting

Product Disposal and

Regulatory Compliance

Consumer & Citizen Insights

Customer Intelligence Expert

Model

Large-Scale Clickstream Activity

Analysis

Neighbor Analytics

Customer Churn

Sentiment & Moral Scoring

Supply Chain & Logistics

Production Planning

Demand Planning

Route Management

Fleet Capacity Utilization and

Management

Supply Network Planning

Inventory Analysis &

Optimization

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Extracting Real Value from BIG DATA

• Analytical Apps use math and non-math algorithms to:

– predict the future

– discover behavior and success patterns

– forecast trends

– simulate results based on specific business scenarios

Adaptive Analytical Apps

Data Collection

Services & ETL

Business

Algorithms

Data Visualization

/ Story Telling

Analytical

App.

These results drive business decisions and strategies to prevent or adapt, reacting or innovating based on your current reality and real business opportunities.

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CSC’s Advanced Train Dispatching System Helped Swiss Federal Railways Get to 96% On-Time Performance Swiss Federal Railways (SBB)

Europe’s most intensively used railway network • 7,000 passenger trains and 2,000 freight trains per day

• 250+ concurrent railway dispatchers and operators

• Build new rail dispatching system to replace outgrown system with only partial coverage

• Near-real-time dispatching system serving 400+ concurrent dispatchers and operators for all rail traffic on entire railway network

• Interprets several hundred messages per second from sensors and other peripheral system

• Forecasts network-wide impacts of delays and connection postponements

• More trains run on time (up from 92% to 96%), making Switzerland the leader in international punctuality

• Improved passenger satisfaction

• Higher rail network loads

• More efficient communications between train staff and dispatchers

Client

Challenge Solution Results

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Using Analytics Powered by Machine Data to Improve Safety and Equipment Availability

A Leading Global Manufacturing and Mining Operation

• Leverage sensor data for parts planning, replacement, forecasting and certification of staff to service machinery

• Millions of rows of data from machine sensors to calculate parts replacement, availability and the certifications required to service

• Dashboards, predictive analytics and machine to machine collection of data form sensors

• Improved Machine and Equipment availability

• Workers are safer and certified to service parts

• Ability to simulate and forecast requirements

• Improved profitability and safety

Client

Challenge Solution Results

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Business Challenge

• A typical process industry plant is fully replaced

every 10 years via maintenance overhaul

• Understand what is going to wear and how to plan

for it

• How do plants increase uptime?

– Right materials and inventory

– Keeping equipment running at planned rates

– Predictive and condition-based maintenance

that is proactive and planned at the

production unit level

– Optimized planned maintenance

with scheduled and predictive maintenance

Business Benefit

• Running what a plant needs vs. what a plant is

able to run

• Improving plant production that typically runs at

<70% of available capacity to 75% or 80%

– Improved labor productivity and reduced

operating cost

– Improved customer service levels

– Reduced inventory levels

– Reduced lost sales

– Additional capacity and agility

– Supply chain predictability

– Improved ROA

– Improved first time quality yield

CSC Smart Manufacturing Operations Overall Equipment Effectiveness Acceleration

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Our Full Life Cycle Approach Drives Outcomes in a Measured Way

Optimize Business Value

Manage / As a Service

Realize Business Value

Transform

Unlock Business Value

Shape

Experiment with data to find potential insights

Clarify desired new end-to-end business models and outcomes

To transform

Decision Making

To enable

Business Strategy

To achieve Business

Process Optimization

Design data architecture

Implement appropriate analytic techniques and tools

Position insights at critical decision points

Manage performance toward objectives

Leverage data and analytics as a service

Consume external, structured, and unstructured data

Visualize benefits and targeted outcomes

Build business case and roadmap to reach outcomes

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Determine data needed to realize outcomes

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Through Experience with Many Projects, We’ve Learned What It Takes to Succeed

It’s an iterative approach — you’ve only just started …

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Our Clients Choose CSC Because of Our Unique Strengths in Big Data and Analytics

Technology Independence

Technology independence means delivering the best-of-breed solution optimized for your need and budget

Purpose-Fit Industrialized Solutions

Purpose-fit industrialized solutions leverage CSC’s deep industry and business process knowledge for faster time to value

Expertise in Turning Data into Recommendations

Expertise in combining the right data sets and applying the right analytic techniques to unveil new insights

Full Life Cycle Approach

Shape-Transform-Manage: Uniquely modular full life cycle approach keeps focus on business outcomes

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