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© Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change
without notice.
Empower the Data Driven Organization
With The Big Data Perspective
Chan Chee Kin
Enterprise Architect, HP Technology
Consulting
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© Copyright 2012 Hewlett-Packard Development Company, L.P.
The information contained herein is subject to change without notice.
Vertical
Strategy
Market Trends
Product Strategy
Competitive Landscape
Go-to-Market Strategies
Forecasts
Industries
Customers
Products
Technologies
Operations
Services
Competition
Markets
Banking and
Securities
Healthcare
Media and
Services
Education
Wholesale
Manufacturing and
Natural Resources
Insurance
Utilities
Retail
Communications Government
Transport
Forces of
Digitalization
Cloud
Mobility
Social
Advanced Analytics
Machine Learning
Internet of Things
Digital business is changing how industries conduct business.
The explicit engagement of business buyers in both vertical and horizontal solutions is changing the
commercial and competitive conditions for providers.
Get Ready for the Next Wave of Disruption
2
Today, the life expectancy is 15 years and declining all the time 50 Years ago, the life expectancy of a Fortune 500 firm is 75 years 89% of Fortune 500 firms in year 1955 are gone in year 2014
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The information contained herein is subject to change without notice.
Digital Business - Disruptive
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© Copyright 2012 Hewlett-Packard Development Company, L.P.
The information contained herein is subject to change without notice.
Digital Business
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© Copyright 2012 Hewlett-Packard Development Company, L.P.
The information contained herein is subject to change without notice.
Casualty of Digital Waves
Who’s next ?
Telco lost $386 billion to OTT Fortune, JUNE 23, 2014
Yet to know Yet to come
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The New Style of Business creates new waves of
opportunity
New types
of
applications
New
approaches
to IT
operations
New demands
& uses for
insight
New
threats and
risks
New customers
and
buying behaviors
New
consumption
models
New revenue
streams &
opportunities
for innovation The New
Style of
Business
© Copyright 2015 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change
without notice.
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Focusing on the journey to a data-driven
organization
data-driven
organization
• Insight into data-driven
customer
intelligence
• Gain insight from the Internet
of Things (IoT)
• Respond to the speed of now
• Move from noise to wisdom
and knowledge
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Why should customers
care?
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© Copyright 2015 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change
without notice. 8
Opportunities present challenges
• Information silos
• Lack of agility
• Harnessing of true data
value
• Lack of capabilities
• External threats
Challenge
s
User
s
EDW
Analytics
BI
Analytics
EDW
EXCEL Analytics
Social Media
Texts Smart
X
Survey
s
Internet of Things
(IoT
)
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Application
layer
How IT is geared today
Predictive
model
• Available investments drive service
capabilities
• Four - Five year refresh cycle
• Lengthy change control process
• True costs often not exposed
• IT often stuck in reactive mode
• CIO focused on cost of IT delivery
Comput
e
Physic
al
Storag
e
Networkin
g
Facilitie
s
Physic
al
Physic
al
Mngm
t
Trust
IT
operations
Securit
y
Virtua
l
Au
tom
atio
n
Virtua
l
Virtua
l
Business
demands
App
owners
• SLA managed
• KPI’s defined
Requirement
s
Interpretatio
n
GR
C
Operation
s
Showbac
k Business
Processes
Tra
ditio
nal
Appro
ach
Mngm
t
Trust
Mngm
t
Trust
Mngm
t
Trust
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change
without notice.
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Dynamic
Security
IT that’s data-driven
In tune with changing market
dynamics
• Services consumption model
• Speed of change shortened
• Internal and external infrastructure
• Operates in proactive mode
• Financial transparency required
• CIO focused on value to the business
outcomes
• Data Scientist and Chief Data Officer
roles emerging
Presentation
layer
Converge
d
SD
x
Clou
d
Facilitie
s
Hybrid
Operation
s
Au
tom
atio
n
Business
outcomes
Data Scientist
Chief Data
Officer
Querie
s
Analytics
GR
C
Proactive
Operations
Chargeba
ck
Automated
Processes
Data
-Driv
en
Appro
ach Haven Big Data
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change
without notice.
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Traditional IT + Data Driven = Empowered for
success © Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
11
Adopting hybrid capabilities is key
Traditional IT
Compute
Storage
Networkin
g
• Efficiently host workloads & services
• Provide hardened systems & networks
• Store and manage data
• Conventional data warehousing
Data-Driven
Organizatio
n
• Continuously create and deliver new services
• Manage and mitigate risk
• Provide real-time insight & data value
• Flexible predictive analytics
No need to rip and
replace
= +
New Style of
Business
• Create customers for life
• Optimal mix of traditional and data- driven IT
• Information equals value
• Empowering innovation
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How does it
work?
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6 tenets of a data-driven
organization Successfully embark on a journey to a data driven
organization
They are:
Governance, risk, and compliance
Capability to meet requirements
An enabling infrastructure
Tools and
skills
Processes Understanding information value
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change
without notice.
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Data is the biggest asset;
harness it
Monetize
Differentiat
e
Personalize
Monitor
Meter
Optimize
Predict
Explor
e
Serv
e
Ac
t
How to turn your
data into an
asset?
© Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change
without notice. 15
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Optimize business outcomes through data
Insight to “see the
unseen”
Business
Analyst
Code Developer
Deliver data-driven next-
gen apps and services
Chief Data Officer
Data Scientist
Engage, enrich & harness 100% of data
Transform “data”
to “knowledge”
© Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change
without notice. 16
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The Big Data Perspective
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Avoid the HiPPO - Highest Paid Person’s Opinion -
Trap
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Completing Analytical Vision
Data Volumes
Accu
racy a
nd
In
sig
ht
CRM ERP Data Warehouse Web Social Log Files Machine Data Semi-structured
Dark Data
Big Data Traditional
Enterprise Data
Unstructured
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Business Intelligence evolution
Hindsight Insight Foresight
Data
unstructured; business & social
Process prediction and action patterns and trends what happened yesterday
People data scientists operations staff report writers
Technology analytics databases
data warehouse, KPI
dashboards
prediction, optimization
& simulation systems
highly structured
Advanced Analytics Domain
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Level 0 No Big Data
Level 1 Structured -
Internal
Level 2 Structured –
Internal &
External
Level 3 Structured –
Internal &
External
Unstructured -
Internal
Level 4 Structured –
Internal &
External
Unstructured –
Internal &
External
Level 5 Fully Optimized
Where are you on the Big Data continuum?
Solution Complexity
Big Data
is not
used
All data sources
are fully integrated
and optimized
Minimal use of
structured internal
data e.g., from
ERP, CRM
systems
Include use of
unstructured data,
e.g., text, graphic
Valu
e / B
en
efi
t
Data Types
Present Future
Supplement with
structured external
data, e.g., paid
subscriptions
Add use of external
unstructured data,
e.g., search, social
media
48%*
7%*
8%*
8%*
Source: Gartner Research Survey, March 2012
* Percentage of Gartner survey respondents who indicated high usage of that particular class of data
“Over 90% of executives
reported that in the next
three years their
organization plans to
incorporate unstructured
data into their enterprise
insights, processes, and
strategy.” Source: Coleman Parkes Survey, Nov.
2012
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© Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. 22
HAVEn – The Leading Big Data Platform
HAVEn
Social media IT/OT Images Audio Video Transactional
data Mobile Search engine Email Texts
Catalog massive
volumes of
distributed data
Hadoop/
HDFS
Process and
index all
information
Autonomy
IDOL
Analyze at
extreme scale
in real-time
Vertica
Collect & unify
machine data
Enterprise
Security
Powering
HP Software
+ your apps
nApps
Documents
hp.com/haven
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© Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. 23
Improved Bank Growth Increased Credit/Debit Card Spends through Real Time Targeted & Contextual Offers
Catchment Area
Customer 1:
Profiled as
Foodie, Beginner
etc
Customer 2:
Profiled as
Shopper, Nester
etc
(DAY, TIME, AREA, MERCHANT &
MERCHANT CATEGORY)
Restauran
t
Shopping
Mall
10
MIN
UT
ES
BY
WA
LK
Movi
e Context
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Improved Bank Growth Increased Credit/Debit Card Spends through Real Time Targeted & Contextual Offers
External Data Transformation
Vertica+Distributed
R Enterprise security n
Apps
Social Media Data
Provider API Propensity Analysis
Merchant Grouping
Catalog massive
volumes of
distributed data
Process and
index all
information
Analyze at
extreme scale in
real time
Secure data
communicatio
n
Qualitative Data
Enrichment
Customer Micro
Segmentation ODS/EDW
Hadoop/ HDFS ETL/CDC
Mobile/SMS/ Online
Banking Data
Context Evaluation
/ Offer Qualification
Real Time Engine
Powering
Business Users
LDAP
Authentication
Kerberos
Authentication
Password / Ident
Based
Authentication
TLS/SSL/Hash
Authentication
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HP and SAS – Better Together
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• Join data
• Multiple sources
• Calculations
• Load data
• Monitor/Audit
• Define Metadata
• Load/unload data
• Manage security
• Ad-hoc analysis
• Data discovery
• Advanced
analytics
• Excel enabled
• Online dynamic
dashboards
• (web or mobile)
• Interactive
Information
• (Native iOS and
Android apps)
SAS® LASR™ Analytic Server
Cloudera Distribution of Hadoop
HP Converged Infrastructure
Consulting Services, Training & Support
Central Entry Point Integration Role-based Views
Data Preparation Administration Exploration Reporting Mobile
Fast & Easy Discovery Enterprise Ready Integrated Big Data platform Complete stack solution Skilled Resources
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© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. 27
The HP + SAS advantage
Fast & Easy Discovery
Skilled Resources
Integrated Big Data platform
Enterprise Ready
Complete stack solution
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Agile Business
Intelligence Q3 2014
“SAS, a known leader in enterprise BI and
Advanced Analytics, now leads the pack in
Agile BI” FORRESTER WAVE Q3 2014 Big Data Predictive
Analytics Q1 2013
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Generate Metrics for Key Business Measures to Make Informed Decisions
Use Case: Big Data to Improving Customer
Service
Technology Components Involved: • Near Real Time Data from Core Banking Systems
• Data Stored in Hadoop and HP Vertica
• Machine Learning Tool like R, SAS for Analytics.
• Data Views for Analysis by Management / Decision Makers
Business Objectives Met: • Near Real Time Updated Information for Decision Making
• Mid-day reviews, operational correction and rapid response to changing
conditions
• Monitor achievements within a branch/ regions against set targets
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Architecture
Improving Customer Service
ODS/EDW
Intra Day Data
R Model
Account Setup
Management
Views
Assets and
Liabilities
Inflow/Outflow
Decisio
n
Makers
HDFS
External Data
(Excel, Txt)
ETL
/CD
C
Other
Consumers
SAS
JDBC
/ODB
C
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Making a Business Impact with a Process Aware
Business Intelligence Solution - SAS Mortgage Loan
Insight with HP Software and Accenture
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HP Converged Infrastructure for High Performance
SAS Deployment
HP Converged Infrastructure for SAS High-Performance Visual
Analytics is optimized for the in-memory analytics engine, scaling
from 1, or 4 to 256+ HP ProLiant BL and DL Servers, delivering
analytical results to Web browsers and mobile devices in seconds
to minutes.
• Supported by SAS EEC (Enterprise Excellence Center)
• Powerful In-Memory Analytics Solutions For Visual and High Performance
Analytics
• Complete Solution and Services, Providing a Total Package That is
Appropriately Sized
• SAS-Approved Configurations
• Designed to Reduce Customer Costs
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© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. 33
HP’s BI Platform Success Roadmap with SAS
BI Platform with
HP
Business
alignment:
Discovery &
Assessment
Business alignment:
Strategy &
Planning
Innovation &
Continuous
Improvement
Hybrid
delivery
Maintenance
& Support
Business-driven architecture:
Solution Design
Advanced Analytics,
Business Accelerators:
Center of Expertise
Risk Reduction
& Avoidance
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Let HP accelerate your journey to becoming a data-driven
organization
Unleash Business
Value from
Insight
Build a data-driven
organization Software and
Hardware Foundation
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without notice. 20
Scale up your Modernize your Govern & protect Adopt a platform to Create composite Drive closed-
loop
infrastructure and EDW & BI your data harness 100% of apps that empower decision
making
capabilities data your organization & innovation
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Call to Action Data-Driven Organization Transformation Workshop
• Collaborative
discussion
• Tailored advice
• 6 hours in length • Illustrative
approach
• Globally available
• Maximize your
opportunities
• Explore ideas
• Hear our experiences
Data-
Driven
Organizatio
n
Transformation
Workshop
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP Confidential – For training
purposes only. 22