empower the data driven organization with the big data ... · empower the data driven organization...

© 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

© 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



Digital Business - Disruptive



Digital Business



Casualty of Digital Waves

Who’s next ?

Telco lost $386 billion to OTT Fortune, JUNE 23, 2014

Yet to know Yet to come

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


without notice.

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

Why should customers

care?


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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

)

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


without notice.

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


without notice.

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

How does it

work?

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


without notice.

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?


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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”


without notice. 16

The Big Data Perspective

© Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. 18

Avoid the HiPPO - Highest Paid Person’s Opinion -

Trap


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


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


Level 0 No Big Data

Level 1 Structured -

Internal

Level 2 Structured –

Internal &

External


Internal &

External

Unstructured -

Internal


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


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


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


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

HP and SAS – Better Together


• 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


The HP + SAS advantage

Fast & Easy Discovery

Skilled Resources

Integrated Big Data platform

Enterprise Ready

Complete stack solution


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


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


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


Making a Business Impact with a Process Aware

Business Intelligence Solution - SAS Mortgage Loan

Insight with HP Software and Accenture


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


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

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


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

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

Thank

you