how to get started in extracting business value from big data 1 of 2 oct 2013

Gaining competitive advantage through

Big Data assets and investments

A pragmatic approach on how to get started

to extract business value from Big Data footprint

netStar Partners Capital & Business Breakthroughs

October, 2013 Slideshare 1 of 2

Content

2

Introduction

Do or die board questions about Big Data management

What is Big Data? The 4 V´s

When & where is its value?

The data

The processes

Big Data opportunities

Some examples

3 Potential approaches- Proposed approach

Introduction

3

What executives think Big Data is?

Source : The Financial Brand | Big Data: Big Opportunity in Banking ... or Big B.S.?, Nov 2012 IBM I Survey Results

7% Data in

social media

10% Great

volumes of data 8% New

trendy buzz

word

15% Real time

info

13% Non

traditional

sources of data

16% New data,

new analysis 18% More

information

Introduction

4

Big Data is the dynamic/mobile/interactive footprint of the technological

revolution that is changing customer behavior and competitive landscape

Introduction

5

If you have think that the undergoing technological revolution is impacting or may impact your business,……..

… Big Data management is a MUST!!!!

Data can tell you What!!

Managers have to decide Why and What to do!!

Content

6

Introduction




The data

The processes


Some examples



7

1. How will Big Data change the basis of competition in our industry?

2. Does our business plan reflect the full potential of Big Data to improve our performance?

3. Is our portfolio of Data management initiatives aligned with the opportunities & threats?

4. What will it take to exceed our customer expectations using Big Data?

5. How will Big Data improve our operational & strategy agility?

6. Do we have the capabilities required to deliver value from Big Data opportunities?

7. Who is accountable for Big Data? & How we hold them to account?

Content

8

Introduction




The data

The processes


Some examples



9

1. Volume

2. Variety

3. Velocity – Real time

4. Value

Vast amounts of varied,

fast-moving information

that can be processed and

analyzed to create

significant value for an

organization

Today •Relevance, impact, perspective

•Data availability

•Process of dealing with the data

•Use of results-action

orientation

In the future • Future relevance,

impact, perspective

• Emerging critical data

• New processes and tools

• New uses, interactive and online uses of results- Future action orientation

The volume of data matters

• Sampling vs all

• Multiple sources increase the value

The variety of data matters

• Many sources

• Structured & unstructured

• Public vs proprietary

The velocity of data matters

• Real time vs batch

What is Big Data? When & where is its value?

10

Company

value

In the future

Exte

rnal

In

tern

al

Structured Un-Structured Data Types

Data

So

urc

es

Mobile / GPS / GIS

Credit Info; Travel Info

Census; Real State DB

RFID Tags

Health profiles

Life events records

Presence reports

Twitter

G+; facebook; Foursquare;

Linkedin, ….Blogs,

External sensor data

IoT Interactions

Voice & media digitalization

….

Feeds in web

Online forums

Internal Social networks

Sharepoint Docs

Sensor Data

Internal Voice & media digital

…

What is Big Data? The data

11

TODAY

Exte

rnal

In

tern

al

Structured Un-Structured Data types

Data

so

urc

es

Mobile / GPS

GIS

Credit Info

Travel History

Census & Public surveys

Real State Records

….

Twitter

G+; facebook; …

Linkedin, ….

Blogs

…..

HR files

Sales info

Commercial

transactions/Payments

CRM; ERP

Finance

Warehouse

…..

Web Feeds

Online company forums

Internal Social networks

Sharepoint

….

Source: IDCs Digital Universe Study, sponsored by EMC , June 2011. & netStar Partners analysis

What is Big Data? The processes

12

Clear

objectives

Outputs / performance

Team / Talent

(Business

/Analytical/Techn)

Governance

Tools * (Intelligent Sw and

models/Scale out

Infrastruc./Large DB)

Methodology -

Test & learn from

doing

Success comes from Action

What is Big Data? The processes

13

Intelligent software & models

• Machine learning

• Natural languages processing

• A/B Testing

• Predictive modeling….

Large datasets

• Unstructured or semi structured

• Continuously streaming

• information

• Volumes in the multiple tera to peta bytes range and beyond…

Scale out infrastructure

• Massively distributed

• Linear scalability

• Commodity hardware

Source : At the Big Data Crossroads. Thomas H. Davenport. Amadeus 2013 . // & netStar Partners analysis

Other suitable technologies may

include:

• association rule learning,

• classification,

• cluster analysis,

• crowdsourcing,

• data fusion and integration,

• ensemble learning,

• genetic algorithms,

• neural networks,

• pattern recognition,

• anomaly detection,

• regression,

• sentiment analysis,

• signal processing,

• supervised and unsupervised learning,

• simulation,

• time series analysis and visualization.

Content

14

Introduction




The data

The processes


Some examples


0 10 20 30 40 50 60 70

Other

Production performance

Client behavior analysis

Planning and predicting

Better cost analysis

Risk management

Market trends

Understanding business changes

Fraud detection

Churn management

Real time decision making

Capturing sales & marketing opps

Client segmentation

Clear business vision

Personalized marketing using social media trends

% of Positive answers


15

Areas for Big Data benefit

Source: Booz & Co Benefitting from Big Data 2012

Big Data opportunities. Some examples

16

Industry Some Big Data opportunities

Consumer goods &

retail Industry

• Sales trends accuracy- Accurate forecasting

• Pricings settings and personalized pricing offerings

• Store locations decisions

• Marketing at individual level

• Promotion effectiveness / Cross selling

• On time vouchers

Energy /Utilities • Smart meter data management

• Asset management and optimization

• Manage multisite generation networks

• In house/In building cross selling management

• Cross selling (gas/water/electricity)

• and promotional effectiveness

Financial services • Risk scoring management / Credit card fraud management

• Dynamic pricing

• Optimal ATM & branch locations

• Customized promos based on bank statements

• Data exchange models for SME clients

Insurance services • Claims fraud

• Reimbursement optimization

• Usage behavior: i.e. driving behavior, lifestyle impact on life cycle

Big Data Opportunities. Some examples

17

Industry Some Big Data Opportunities

Telecoms • Dynamic pricing

• Enterprise behavioral analysis

• Churn predictively and management actions (Using lifetime value analysis)

Smart cities • Flow learning's of people, vehicles and its interactions

• Real event impacts on city economy(Flows/expenditures/…)

• City new services developments based on info management

• Traffic predictive models (Based on events/weather/…)

Hospitality/Travel

sector

• New business models based in information aggregation, understanding and

learning by Big Data algorithms (i.e. Kayak, …)

• Hotel sites optimizations and franchise decision making

• Customer audience targeting for new travel experiences

• Advertising efficiency web ads (facebook services?/internal web services)

• Airline personal recognition services, services excellence and recovery

programs, and new offers that inspire and motivate

• Optimal pricing prediction in hospitality business. Revenue improvement

via cross selling hotel / restaurant/ services / tourism services

• New services definition in Hospitality business learning from customers

experiences outside he hotels. New cross selling offers within the chain

based in travelers internal and external to the hotel experiences

Content

18

Introduction




The data

The processes


Some examples


Confidential 19

See document

netStar Partners Slideshare - How to get

started in get business value from Big Data 2

of 2 Oct 2013

In Slideshare

3 Potential approaches

Big Data

20

57% of Business leaders agreed strongly that most of their

competitors are using Big Data to their Strategic Advantage (1)

53% of large companies undertook a Big Data initiate

during 2012 – 43% of them predicted ROI greater than 25%- (2)

What about you?

(1) CapGemini Study over 600 Business leaders 2013

(2) Tata Consultancy Services (TCS) in a Global Study including 1217 Large Companies

Thanks [email protected]

21

MANAGING DIRECTOR

Jaime Nistal [email protected] Mobile: +34 629 25 61 62

netStar Partners Capital & Business Breakthroughs

mailto:[email protected]