Big Data & Analytics

Consumer products meeting November 5th, 2014

Big Data & Analytics Hot topics

So why are we talking about analytics?

► Trends, observations and definitions

How to (and not to) think about analytics?

► What’s different? Why? How does it impact you?

Data and analytics as a source of value

► Approach, case studies and suggestions

Source: Gartner Research

Few organizations have the methodologies or technologies to efficiently address unstructured data.

► When considering data

analysis, all sources of data

should be addressed

► Gartner study shows that 80%

of enterprise data is

unstructured in nature

► Most analysis focuses on the

20% of the structured data

Big Data & Analytics Why are we talking about data ?

20% 80%

Big Data Has Arrived In this decade, the universe will growth 44x

from 0.9 zettabytes to 39.6 zettabytes

One

zettabyte = One trillion

gigabytes

125

8 GB iPods =

Video rendering Gene sequencing Medical imaging Geophysical exploration Smart grids

Social media Mobile sensors Electronic payments Video surveillance

Hindsight

► Ad hoc queries

► Standard reports

Analytics What is analytics? How to think about analytics?

Insight

► Alerts

► Query/drill down

► Statistical analysis

Foresight

► Optimization

► Predictive modeling

► Simulation

Descriptive analytics Mine past data to report, visualize and understand what has already

happened – after the fact or in real time

Mathematical complexity

Predictive analytics Leverage past data to understand why something happened or to predict what will

happen in the future across various scenarios

Prescriptive analytics To determine which decision and/or action will produce the most effective

result against a specific set of objectives and constraints

Advanced

analytics

Business

intelligence

Drive

Decisions Perform

Analytics Manage

Big Data

Insights rules/ algorithms Relevant data

Analytics Perform Analytics

Applications of analytics can range from historical reporting to real-time decision support for

organizations based on future predictions.

Qual a motivação das organizações para implementar Big Data ?

Melhorar a qualidade do serviço prestado ao cliente

Identificar/desenvolver novos produtos e serviços

Aumentar a eficiência das operações

Gerenciar riscos

1.

2.

3.

4.

Analytics Comparação das Respostas

Fonte: pesquisa global EY

Qual a motivação das organizações para

implementar Big Data ?

Data scientists

Business specialists

SW Engineers

Estatisticals

Mathematicians

We understand that a project of this nature requires a multidisciplinary team, with a diversity of

knowledge and skills.

Our capabilities

Global Analytics Center of Excellence (COE)

The purpose of the COE is to enable and accelerate the use of analytics in all our

services, ultimately to deliver on the promise of exceptional client service.

Business issue 79% of business decision makers, across sectors, believe that advanced analytics capabilities will boost

revenue. Organizations need to find and accelerate growth opportunities, improve business performance,

manage risk and regulatory pressures.

Sales & Marketing functions looking for efficiency improvements or to gain competitive advantage; finance

departments looking to plan, measure and monitor business performance; risk & regulatory compliance

departments looking to manage risk at optimal cost; Procurement and supply chain functions; IT

Focus

► Enterprise performance management: helps organizations with challenges around planning, budgeting and

forecasting, management, reporting and consolidation.

► Risk and performance analytics: provides companies with a means to turn data into actionable insight, make

informed decisions and undertake activities to improve control, reduce risk, optimize performance and enable

growth.

► Information strategy and management: helps organizations to identify and quantify relevant areas of

information within and outside their business.

► Advanced Analytics and Big Data: improves decision making process within organizations by understanding

the past and predicting the future using different sources of data (e.g. social media, internet of things, clouds

and other sources of Big Data).

► Digital enablement services: enables the journey from a data processing, managing and operating business

to become a knowledge driven organization or even a social business, where connected information enables a

mutually beneficial ecosystem between data source providers, data regulators and data consumers.

Key services

Our capabilities

Main services

Compliance Data Management, Analytics & Governance in

FIES, Data Migration, Data Analytics, Data Mining, Data

Governance, Predictive Analysis, Data Quality, Conciliation

and Manage by Results

Tools and competences

Predictive Analysis

InfiniteInsight®

Our capabilities

EY cases

alongar

Cristiane Amaral | Lead Partner

Cristiane is the Lead Partner of Performance Improvement at EY Advisory Services and also is the Quality Leader for South

America Region. She has over 22 years of experience as an executive and consultant in Real Estate, Consumer & Retail

Products and Logistics & Transportation Sectors. Her background includes working at OAS and Odebrecht (2 major Real

Estate companies in South America) and she is in EY since 1993.

Mauricio Saad | Partner

Mauricio is an Advisory Partner responsible for the ITRA/IMA (Information Management and Analysis) sub service line. He has

over 15 years experience in technology consult and audit services, working in projects such as Business Intelligence, Data

Governance, Data Integrity & Advances Analytics. He is recognized as a Relational Database specialist with great experience

with Oracle and SQL Server Databases. Has experience with database modeling, database design and database security

review focusing on segregation of duties, change management and access control.

Ricardo Vilanova | Executive Director

Ricardo is an experienced analytics project professional experienced in Data Analytics, Data Governance and Predictive

Analytics projects as well as IT high-risk projects involving and combining Tax, Supply Chain and IT areas and Financial Data

Modeling, IT driven Internal Audit, Data Mining, Data Migration, Data Reconciliation, Data Management Reporting, natural and

non-structured information processing and Search Engine IT Services. Specialized on implementation of predictive analysis

inside heterogeneous IT environments, software development management, project and portfolio management following

PMBOK and Scrum practices.

Our Team

Ernst & Young is now EY.

ey.com/betterworkingworld

#BetterWorkingWorld

facebook | EYBrasil

twitter | EY_Brasil

linkedin | ernstandyoung

app | ey.com.br/eyinsights

ey.com.br

© 2014 EYGM Limited. All Rights Reserved.

This publication was prepared by the Brand, Marketing

& Communications Department. Reproduction of

this content, in whole or in part, is permitted provided

that the source is mentioned.

Speak with us

+55 11 2573 3000