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1 © Copyright 2013 Pivotal. All rights reserved. 1 © Copyright 2013 Pivotal. All rights reserved.
Welcome to a new era
Les Klein Director, Field Engineering EMEA | Pivotal
2 © Copyright 2013 Pivotal. All rights reserved.
New Company: Spun out &
jointly owned by GE, EMC, Vmware
Deep Execution Talent: 1800 employees
Proven Leadership: Paul Maritz, CEO
Global Customer Validation:
+1000 Tier-1 Enterprise Customers
Strategic Backing: $100M investment by GE
Bold Vision: New platform for a new era, focused on the
intersection of apps, big data and analytics
About Pivotal
©Copyright 2014 Pivotal.
All Rights Reserved
3 © Copyright 2013 Pivotal. All rights reserved.
The Rice And Chessboard Story
4 © Copyright 2013 Pivotal. All rights reserved.
So how much was there?
(2^64)-1
or 18,446,744,073,709,500,000 grains
or 14,757,395,258,968 (25kg) sacks
5 © Copyright 2013 Pivotal. All rights reserved.
Moore‟s Law
“..the observation that, over
the history of computing
hardware, the number of
transistors in a dense
integrated circuit doubles
approximately every two
years.”
Source - http://en.wikipedia.org/wiki/Moore's_law
6 © Copyright 2013 Pivotal. All rights reserved. 6 © Copyright 2013 Pivotal. All rights reserved.
What Do We See Happening?
Clou
d
• Business becoming a software business
• Software - how companies engage customers,
powered by new data insights and new devices
7 © Copyright 2013 Pivotal. All rights reserved. 7 © Copyright 2013 Pivotal. All rights reserved.
Executives believe
innovation is
extremely important
to their growth
strategies
..Are unsatisfied
with their
innovation
performance
IT does not enable the business, it is the business
84% 94%
“…CMOs will spend more
on IT than CIOs”
8 © Copyright 2013 Pivotal. All rights reserved.
Software is altering industries
$5B valuation
Financial Services
$10B(+) valuation
Travel & Hospitality
$41B valuation
Transportation
$3.2B Acquisition by Google
Home Automation
$30B(+) valuation
Entertainment
$26B valuation
Automotive
9 © Copyright 2013 Pivotal. All rights reserved.
No one is entitled to their business model…..
10 © Copyright 2013 Pivotal. All rights reserved.
As we head into a time of stronger growth coupled with increased
technological change, the message for senior executives is clear: if you
aim to maintain control of your corporation and deliver value to
shareholders and customers, you must embrace creative destruction
rather than wait to become a victim of this unstoppable force.
Richard Foster „Creative Destruction Whips through Corporate America‟
11 © Copyright 2013 Pivotal. All rights reserved.
FS Firms Need to Build Great Software
Francisco Gonzalez, CEO
“Banks need to take on Amazon and
Google or die. The shift to digital
requires a complete overhaul of banks
technology…it is a matter of survival.”
12 © Copyright 2013 Pivotal. All rights reserved.
Agile is the Norm
PAST CURRENT & FUTURE
Acceptable to delay
updates and releases
Immediate
updates
13 © Copyright 2013 Pivotal. All rights reserved.
3rd Platform
You are either building a software business…
Or losing to someone who is.
14 © Copyright 2013 Pivotal. All rights reserved.
How Pivotal Accelerates Value Creation
70% of data
generated by
customers
80% of data
being stored
3% being
prepared for
analysis
0.5% being
analyzed
<0.5% being
operationalized
First
Movers
Smart
Enterprises
~20X
$2.9B
~30X$4
B
~7X
$290B
~20X
$120B
Average Enterprises
SOLVE THE BIG DATA UTILITY GAP
15 © Copyright 2013 Pivotal. All rights reserved.
Big Data Has Seen Transformative Advances…
New Requirements New Capabilities Giving Rise to New Data-
Driven Competitors
Massive-scale apps and Mobile
New data types and
sources
Internet of Things
Predictive analytics
In-memory processing
Hadoop storage
16 © Copyright 2013 Pivotal. All rights reserved.
Enterprises Are Having Trouble Adopting Big Data
(1) 2015 PWC CEO Survey; (2)2013 Baine and Company - The Value of Big Data; (3) 2014 IT Infrastructure Conversation - IBM; (4) Ernest and Young - 2014 Enterprise IT Trends and
Investments; (5) 2014 Riverbed Tecnologies - The Transformers; (6) 2014 ElasticHosts CIO Study
0% of CIOs think
their IT infrastructure
is fully prepared for
big data (3)
30% of
companies have
deployed advanced
analytics, 11% big
data analysis (4)
44% of new applications
failed to meet performance
expectations (5)
2X 90% of companies
allocate at least 2X
more cloud capacity
than needed to ensure
performance (6)
But…
80% of
CEOs thinking
data mining and
analysis are
strategically important (1)
4% of
companies use
analytics
effectively (2)
17 © Copyright 2013 Pivotal. All rights reserved.
Becoming a Data-Driven Company Is Hard
Legacy data infrastructure
can’t scale or cope
Point technology vendors
provide partial solutions Do-it-yourself
open source requires
special talent
18 © Copyright 2013 Pivotal. All rights reserved.
How to Transform to a Data-Driven Company
Deploy analytic apps
and automation at
scale
Store any type
and size of data
Discover insights
Create analytics
algorithms
19 © Copyright 2013 Pivotal. All rights reserved.
Pivotal Coaching Services Help you Upgrade Your Data and Analytics Practice
Pivotal Data Labs
helps you move from BI to
Data Science
Pivotal Labs
helps you move to an agile
development of apps at scale
Pivotal Data Engineering
helps you move from data
administration to data engineering
Deploy analytic apps
and automation at scale
Store any type
and size of data
Discover insights
Create analytics algorithms
20 © Copyright 2013 Pivotal. All rights reserved.
Pivotal Big Data Suite Is a Complete Tool Set for Data-Driven Enterprises
The most comprehensive
suite of data technologies
The most open-source
and cross compatible
solution
Flexible core-based
capacity subscription
21 © Copyright 2013 Pivotal. All rights reserved.
The Cloud Platform Evolution
TRADITIONAL IAAS
Virtualization Platform
Operating System
Da
tab
ase
We
b
Se
rve
r
Me
ssa
gin
g
Your Application
Code
Physical Servers
Da
tab
ase
We
b
Se
rve
r
Me
ssa
gin
g
Your Application
Code
IAAS
Your Application
Code
PAAS
IAAS
PAAS
22 © Copyright 2013 Pivotal. All rights reserved.
Cloud Foundry Foundation: Industry Standard
Gold
Silver
23 © Copyright 2013 Pivotal. All rights reserved.
The Platform for a New Era of Software Innovation
Pivotal CF:
• Instant Dynamic Routing
• Streaming Logging Agg
• ID/team/RBAC/Policy
• Four layers of built-in
Availability and Health
Management
• Application Performance
Monitoring (APM)
• Auto-scaling, Scheduling
• Auto-detect runtimes
• Extensibility via
Buildpacks
• “Push and it works”
model • CF Push [Appfile]
• CF Push [Docker]
• CF Push [.NET]
• Elastic Pivotal HD
• HAWQ Analytics
• Mobile Push
• Mobile Sync
• Mobile API
• MySQL HA
• Redis
• Rabbit MQ
• Elastic Search
• Cassandra
• Jenkins (Partner)
….and more
DEPLOY, OPERATE, UPDATE, SCALE ON ANY INFRASTRUCTURE
INTEGRATED OPERATIONAL BENEFITS
FOR EVERY APP READY MIDDLEWARE SERVICES
AUTO DEPLOY AND SCALE
24 © Copyright 2013 Pivotal. All rights reserved.
Taking the Application Lifecycles From Months…
25 © Copyright 2013 Pivotal. All rights reserved.
DEVELOPER OPERATOR
…to Hours and Minutes
App Deployment: 30-90 seconds
Auto-select runtimes
Deploy app
Select and bind middleware
Scale app
Cloud Deployment: 2-4 hours
Establish infrastructure
Provision
Add capacity
Control Auth, Policies, HA
26 © Copyright 2013 Pivotal. All rights reserved. 26 © Copyright 2013 Pivotal. All rights reserved.
Pivotal for Financial Services
Customer Examples
27 © Copyright 2013 Pivotal. All rights reserved.
Major Credit Card Issuer Builds Infrastructure Determining Fraud Markers Across 30 Disparate Sources
Challenge:
• Desire to identify potential fraudulent activity within Fortune
100 credit card issuer with 100K employees
• Identifying markers across 30 internal data sources caused
lags in reporting
• Establish Infrastructure to support Palantir, Platfora and RSA
reporting frameworks
Solution:
• Provided ability to store 3 months of data at 60-70TB, interest
in moving to 3-year retention period
• Build large-scale security analytics platform to scale with data
needs, analytics and reporting requirements
• Support organizational desire to evolve from pure BI to
advanced, predictive analytics
Pivotal Solution includes: GPDB, PHD, HAWQ
28 © Copyright 2013 Pivotal. All rights reserved.
Online Trading Brokerage Deciphers True Cause of Asset Flow In and Out of Company
Challenge:
• Understand indicators predicting Transfer of Assets out of the
company
• Using Oracle Infrastructure, could predict customer churn but
insights were too late to be actionable.
Solution:
• Improved depth of analysis from 2-3 attributes analyzed to
200, on 160M+ records, including external information
• Identified competitor security breach as true cause of
unexplained onboarding spike
• Improved ability to do market basket recommendations from
blanket across all clients to customized at participant level Pivotal Solution includes: Greenplum DB, Chorus,
Alpine, Data Sciences Lab
29 © Copyright 2013 Pivotal. All rights reserved.
“The app now looks and feels so much better, and
makes online banking so much less of a chore, but
something more natural. Thank you, CIBC.” – Jeff Vandergoot
“This banking app is very clean and has the native
feeling to Android (really helpful). Map/locate us
feature is much improved. Much better than other
banks‟ apps on Android.” – Sameer Mansour
“The new design and interface makes this app worthy
of Android devices. Everything works and makes
sense. Thank you, CIBC!!!” – Mike Angelopoulos
Goal
• 1st to market with fully Android app
• Compress timelines, agile delivery
Process
• 4-month delivery and 50% reduction in testing cycles
• Agile methodology integrated at discrete points
Results
• Record delivery time with top ratings (4-5 stars in
Google Play)
• Currently working on Phase 2 of the project (re-
platforming middleware stack to optimize omni-channel
delivery across phones and tablets)
CIBC Android Phone/Tablet Canada’s first native Android app and top rated banking
app nationally
30 © Copyright 2013 Pivotal. All rights reserved.
Large Retail Bank Enables Analysis of Unstructured Data to Uncover Root Cause of Internal Fraud
Challenge:
• Instance of internal fraud within retail bank required resolution
within 3 months
• Existing environment unable to accommodate analysis on
semi-structured, unstructured data sources
Solution:
• HDFS platform will store 3 Months of data, goal to expand for
richer analysis on full analytic warehouse across the bank
• Enable full range and number of SQL queries supporting SAS
on HDFS platform
• Share insights gained between fraud and security divisions Pivotal Solution includes: PHD
31 © Copyright 2013 Pivotal. All rights reserved.
Leading Swiss Bank Re-shapes Business to Better Monetize and Regulate Fraudulent Activity with Big Data
Challenge:
• Needed to monetize data around privilege user access and
assure security around fraudulent activity
• Reduce the cost of monitoring privileged user access for
regulatory requirements. (currently taking 45 people to do this)
• Extend across the enterprise to solve business pains around
faster data as opposed to just longer looks in “Hadoop”
Solution:
• Built on top of Big Data Suite to operationalize, automate and
extend across the enterprise
• What took 6 hours should now take less than 1 hour with real
time decision-making
• Capability of monitoring relationship manager‟s activity with
analytics to ensure regulatory compliance
Pivotal Solution includes: Big Data Suite and
Data Labs
32 © Copyright 2013 Pivotal. All rights reserved.
Large North American Bank Improves Understanding of Cash-on-Hand Requirements to Better Evaluate Risk
Challenge:
• Better understand cash exposure requirements to prepare for
catastrophic events
• Future Basel III regulations require being able to go back in
history and account for all data, calculations
• Building net new systems with new technologies for improved
data capture, but uncertainty around deployment requirements
Solution:
• Store more data with unlimited HDFS
• Flexibility in Big Data Suite usage will allow them to move
around requirements and product needs
• Business will be able to experiment with components within
data suite to better leverage technology
Pivotal Solution includes: Pivotal Big Data
Suite
33 © Copyright 2013 Pivotal. All rights reserved.
Major Credit Card and Financial Services Company Brings Software Development In-House with Pivotal Labs
Challenge:
• Needs help to bring software development, processes and
back-end services in-house after years of outsourcing, but
lacks experience working with web and mobile applications.
The CEO views the company as a platform that delivers
services, not as one that facilitates payments, with an aim to
disrupt the industry.
• Increase functionality to users on existing front-end products.
• Build and expand development organization in a tight
timeframe.
Solution:
• Help client develop and deliver products faster using Labs
methodology.
• Teach Labs‟ processes to client, making them more
productive and less dependent on others.
Pivotal Solution includes: Pivotal Labs
34 © Copyright 2013 Pivotal. All rights reserved.
Why
Pivotal?
Bold & ambitious vision for the future
Focus on time-to value, and getting
started quickly
Genuine commitment to open source
& standards
Innovation of a start-up, but with the
backing of EMC/VMware
Deepest technical talent assembled across
Big Data, PaaS, and Agile
Easy to work with, advancing new models
for pricing, services and support
A NEW PLATFORM FOR A NEW ERA