Copyr i g ht 2012, SAS Ins titut e Inc. All rights res er ve d. DM FOR INSURANCE

Transcrição

1 DM FOR INSURANCE

2 INTRODUCTION

3 DATA MANAGEMENT FOR ANALYTICS

4 DATA MANAGEMENT FOR ANALYTICS Data Management for Analytics Purpose Built Support Analytical Methods Built in Governance Auditability, traceability, automation Productivity Iterative, data, models Copyr i g ht 2016, SAS Ins titut e Inc. All rights res er ve d.

5 DATA MANAGEMENT FOR ANALYTICS Data Management for Analytics Data Sources Advanced Analytics Unstructured Approachable Analytics Operational Web IoT 0 Streaming Analytics Decisions at Scale Integration with Open Source

6 DATA MANAGEMENT FOR ANALYTICS Operational Data Management Single Version of the Truth Business Operational data sources ETL EDW Data mart Advanced Analytics IT Data Management for Analytics

7 DATA MANAGEMENT FOR ANALYTICS Operational Data Management Single Version of the Truth Business Operational data sources ETL EDW Data mart Advanced Analytics IT Data Management for Analytics Unstructured data HDP Web & social media Streaming data In-Hadoop Data Management & Analytics Sensors, smart meters, IoT Accessible data discovery and preparation Business

8 DATA MANAGEMENT FOR ANALYTICS Traditional Approach Rigid & Repetitive Analysis New Approach Iterative & Exploratory Analysis Business users determine what question to ask IT delivers a platform to enable creative discovery IT structures the data to answer that question Monthly sales reports Profitability analysis Customer surveys Business users explore what questions could be asked Brand sentiment Product strategy Maximum asset utilization

9 DATA QUALITY

10 METODOLOGIA

11 PROFILING Metadata Analysis Pattern Recognition Visualization

12 DATA QUALITY Standardization Casing Identification Parsing

13 DATA MONITORING

14 DATA INTEGRATION

15 ENTERPRISE DATA ACCESS GRANDE VARIEDADE DE FONTES E FORMATOS Oracle Teradata MS SQL Server HADOOP Greenplum MySQL Informix XML CSV Text Delimited ODBC EXCEL EBCDIC VSAM COBOL CA- Datacom ADABAS IBM DB2 SAP BW SAP R3 Oracle Apps Siebel SFDC

16 SAS DATA INTEGRATION DI STUDIO

17 SAS DATA INTEGRATION INTEGRAÇÃO ANALÍTICA: SCORING INTEGRADO

18 DATA LOADER FOR HADOOP

19 SAS DATA MANAGEMENT PALAVRA DOS ANALISTAS DE MERCADO RECOMENDAÇÃO O uso de ferramentas interativas (self-service) para preparação de dados aumenta a produtividade dos analistas e melhora a qualidade de dados Gartner, Data Preparation Is Not an Afterthought

20 SAS ENABLES ORGANIZATIONS TO Manage data inside Hadoop Reduce Complexity of Hadoop Accelerate User adoption

21 SAS DATA LOADER FOR HADOOP Ferramenta Self-service para preparação de dados (Big Data) para usuários de negócio

22 STREAMING ANALYTICS

23 STREAMING ANALYTICS it is about applying analytics while the data is in motion

24 Edge Analytics In-Motion Analytics At-Rest Analytics Network Systems, Surveillance Transactions, Logs, Clickstreams Strategic Data Integration Monitor equipment on the platform for failures and safety issues, and take action. Identify fraudulent transactions and be alerted in real-time. Intelligently integrate customer information with real-time streaming data

25 STREAMING ANALYTICS Complementing SAS SOLUTIONS WITH STREAMING analytics SAS Customer Intelligence SAS Security Intelligence SAS Visual Analytics SAS Fraud Framework SAS Data Management SAS Risk Management SAS Decision Management SAS Asset Performance Analytics and other SAS Solutions

26 CASOS DE ESTUDO TRANSFORMANDO AS EMPRESAS Desafio #1: Criar novas oportunidades de ganhos : Utilizar melhor a informação já existentes Aumentar a assertividade dos projetos Otimizar o tempo de resposta dos projetos

27 ZENITH INSURANCE DESAFIOS DE NEGÓCIO Integração de cinco sistemas de informação diferentes em um única plataforma amigável. Precisava expandir o suporte atual de 80 para 300 pessoas de negócio. Informações com menor latência e com maior acurácia para que os usuários de negócio tomem decisões mais rápidas e assertivas. Copyr i g ht 2014, SAS Ins titut e Inc. All rights res er ve d.

28 ZENITH SEGURADORA INSURANCE RESULTADOS Quase que 4X mais usuários sendo suportados realizando mais analises e relatórios. Times com mais autonomia com self-service analises e relatórios. O negócio pode tomar melhores decisões de como lidar com as reclamações. Ex. Uma reclamação pode ser aprovada mais rapidamente para aumentar a satisfação do cliente como também pode requerer uma investigação mais profunda? SAS is instrumental in helping us achieve a more accurate view of our data allowing us to move faster and be more competitive. Jason Cabral Group Head of Pricing and Management Information Copyr i g ht 2014, SAS Ins titut e Inc. All rights res er ve d.

29 OBRIGADO RODRIGO AFRICANI