Big Data & Analytics. Consumer products meeting November 5 th, 2014

Transcription

1 Big Data & Analytics Consumer products meeting November 5 th, 2014

2 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

3 Big Data & Analytics Why are we talking about data? Source: Gartner Research 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 20% 80% Few organizations have the methodologies or technologies to efficiently address unstructured data.

4 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 = GB ipods Social media Mobile sensors Electronic payments Video surveillance Video rendering Smart grids Geophysical exploration Medical imaging Gene sequencing

5 Analytics What is analytics? How to think about analytics? Hindsight Ad hoc queries Standard reports Insight Alerts Query/drill down Statistical analysis Foresight Optimization Predictive modeling Simulation

6 Analytics Perform Analytics Applications of analytics can range from historical reporting to real-time decision support for organizations based on future predictions. Manage Big Data Relevant data Perform Analytics Insights rules/ algorithms Drive Decisions Advanced analytics Prescriptive analytics To determine which decision and/or action will produce the most effective result against a specific set of objectives and constraints Predictive analytics Leverage past data to understand why something happened or to predict what will happen in the future across various scenarios Business intelligence Descriptive analytics Mine past data to report, visualize and understand what has already happened after the fact or in real time Mathematical complexity

7 Qual a motivação das organizações para implementar Big Data? 1. Melhorar a qualidade do serviço prestado ao cliente 2. Identificar/desenvolver novos produtos e serviços 3. Aumentar a eficiência das operações 4. Gerenciar riscos

8 Analytics Qual a motivação das organizações para Comparação implementar das Respostas Big Data? Fonte: pesquisa global EY

9 Our capabilities We understand that a project of this nature requires a multidisciplinary team, with a diversity of knowledge and skills. Mathematicians Data scientists Estatisticals Business specialists SW Engineers

10 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. Focus 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 Key services 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.

11 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

12 EY cases

13 Our Team 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 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.

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