More Related Content Similar to CSC - Presentation at Hortonworks Booth - Strata 2014 (20) More from Hortonworks (20) CSC - Presentation at Hortonworks Booth - Strata 20141. Big Data and Analytics
© 2014 Computer Sciences Corporation. All Rights Reserved.
2. 79,000
WHO WE ARE
EMPLOYEES WORLDWIDE
$13B
GLOBAL IT
SERVICES POWERHOUSE
50+
YEARS OF INNOVATION
100+
GLOBAL ALLIANCES
WITH BEST-IN-BREED
PARTNERS
A GLOBAL
POWERHOUSE
IN BUSINESS AND IT
TRANSFORMATION
© 2014 Computer Sciences Corporation. All Rights Reserved. October 21, 2014 2
3. Delivering Innovation, Insights and Impact
TRANSFORM TRANSFORM
APPLICATION MODULES
ANALYTIC ACCELERATORS
Customer | Finance | Marketing |
Operations | Supply Chain
BIG DATA PLATFORM
Data Science
Consulting
Big Data
Business Consulting
Big Data
Platform Consulting
Customer
Intelligence
Product
Innovation
Smart
Operations
Risk
Insights
SHAPE
Big Data
Delivery
MANAGE
Repeatable big data platform, analytic accelerators and specialized services
© 2014 Computer Sciences Corporation. All Rights Reserved. October 21, 2014 3
4. CSC Impact Solutions share the same delivery methodology
and combine prebuilt analytics, connectors and visualizations
to deliver outcomes
SHAPE TRANSFORM MANAGE /
AS A SERVICE
Impact
Solutions
Customer Intelligence
Product Innovation
Smart Operations
Risk Insights
Big Data Analytic Insights Analytics aaS
Services
Big Data
Strategy
Big Data Platform Innovation
Big Data Platform aaS © 2014 Computer Sciences Corporation. All Rights Reserved. October 21, 2014 4
5. Fully Integrated and Managed Big Data Platform as a Service
Product
Innovation
Smart
Operations
Customer
Intelligence
CSC Big Data Platform as a Service
Risk
Insights
Hadoop Queries Streams
Command and Control + Ambari
Deployment
Center
Operations
Center
Support
Center
Application
Center
Knowledge
Center
Hortonworks Data Platform Elasticsearch HBase Stinger Storm
Flexible Deployment Options
Public Cloud
Virtual
Private Cloud
Enterprise
Private Cloud Dedicated Cluster
Making it faster, easier, and far less complex to develop and deploy big data applications
© 2014 Computer Sciences Corporation. All Rights Reserved. October 21, 2014 5
6. Big Data PaaS
Case Studies
© 2014 Computer Sciences Corporation. All Rights Reserved.
7. Our Clients Choose CSC Because of Our Unique Strengths
in Big Data and Analytics
Technology Expertise
Working with Hadoop since
its creation
Faster Time to Value
Standing up a big data
platform in less than 30 days
for rapid business value
Technology Independence
Delivering best-of-breed
solutions, from open source
to global partners, optimized
for your need and budget
DATA SOLUTIONS
Purpose-Fit Industrialized Solutions
Leveraging CSC’s deep industry and business
process knowledge
Full Life-Cycle Approach
Using our uniquely modular Shape-Transform-
Manage full life-cycle approach keeps focus on
business outcomes
TECHNOLOGY
Expertise in Turning Data into
Recommendations
Combining the right data sets and applying the
right analytic techniques to unveil new insights
Comprehensive Data Connectors
Any data, any source
© 2014 Computer Sciences Corporation. All Rights Reserved. October 21, 2014 7
8. Case Study
One of the largest companies that develops innovative, advanced hard disk drives, enterprise-class
solid state drives, and external storage solutions and services. CSC improved customer support and
product quality.
SOLUTION
CHALLENGE RESULTS
• Increase customer satisfaction
• Increase operational efficiency
• Enable the business to extract new
insights
• Conducted 5-week big data strategy
assessment
• Established cloud-based big data
platform
• Built the apps and analytics to
capitalize on the data
• Improved customer satisfaction
– Reduced churn
– Reduced support costs
• New product management
capabilities, fixes
• Better supply chain coordination
• Increased security
• New data and analytics products
• Increased cross-sales and up-sales
• Increased renewals
• Better license compliance
© 2014 Computer Sciences Corporation. All Rights Reserved. October 21, 2014 8
9. Case Study
The worldwide leader in IT that helps companies seize the opportunities of tomorrow by proving that
amazing things can happen when you connect the previously unconnected. CSC provides infrastructure
that uncovers revenue opportunities in customer support.
SOLUTION
CHALLENGE RESULTS
• The client wanted to quickly
evaluate the use of big data and the
value that it brings as it relates to
identifying new business
opportunities
• Time to market was a key factor in
the decision to implement a
comprehensive big data platform.
The client realized:
– A bare platform would not be easy
to manage
– Their staff does not possess the
skills to operate a bare platform
– They needed to focus on the
big data applications, rather than
the platform
• CSC designed and configured the
solution, built and deployed it in the
cloud, and developed ETL flows
to transport Web log data within
90 days:
– Aggregating lots of different data
sources to create one massive
Web log data set
– Decorating logs with Geo and
industry information using
IP address
– Adding data science algorithms to
clean up data for better insights
• CSC managed the hardware,
platform components, and data
flows, in addition to providing
continued support/consultation
services to the client
• This client is generating insights on
how customers interact with their
customer service portal, and
improving their services for happier
customers and more streamlined
business:
– Faster path to ROI with both tech
and services
– Creating a real-time product insights
dashboard
– Ability to prove the value of big data
internally through the mining of data
and generation of insights and
reports for product teams
– Scalability to more data sources and
use cases
© 2014 Computer Sciences Corporation. All Rights Reserved. October 21, 2014 9
11. Through Experience with Many Projects, We’ve Learned What
It Takes to Succeed
Operationalize
the resulting
insights
Start from the
business need/
opportunity
Imagine the
potential from
disparate data
sources
Contribute CSC’s
industry understanding
to create advanced
analytic models
Present the
output in an easily
assimilated and
visualized form
Avoid costly
mistakes with
attention to
architecture
It’s an iterative approach — you’ve only just started …
© 2014 Computer Sciences Corporation. All Rights Reserved. October 21, 2014 11
12. Client Retention Proof of Value (POV) Approach Overview
Discover Develop Deliver
4 Weeks 6 Weeks 2 Weeks
Mobilize
(schedule, kickoff, interviews)
Business Model
(clients, products, operations)
Client Metrics
(metrics, analytics, reports)
Data Sourcing
(existing, planned, 3rd party)
Identify Issues & Pain Points
Data Validation
(receive and validate data files)
Exploratory Data Analysis (EDA)
• Descriptive Analysis
• Data Transformation
• Create Analytic File
Model Development
• Design Draft Model Specification
• Draft Model Documentation
• Conduct Iterative Model Development
• Refine Model
Model Validation
(complete model validation)
Finalize Model
(complete model documentation, production
recommendations)
Infrastructure Readiness
• Setup Model Development
Environment
• Define Data File Specification
• Establish Security, Tools
Deliverables
Model Documentation
• Model Summary Results and
Segment Profiles
• Client Score and Ranking
• Algorithm
• Data Used with Explanation
• Tool Used
Recommended Model
Production
Executive
Presentation
© 2014 Computer Sciences Corporation. All Rights Reserved. October 21, 2014 12
13. How Can You Get Started?
Discover your organization’s
big data maturity at
https://www.csc.com/bigdatamaturity
Ask CSC how big data
can make a difference in
your organization
Learn more at www.csc.com/bigdata
© 2014 Computer Sciences Corporation. All Rights Reserved. October 21, 2014 13
14. Thank You
© 2014 Computer Sciences Corporation. All Rights Reserved.