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- 1. 1 © 2007 Informatica. Company Confidential. Forward-looking information is based upon multiple assumptions and uncertainties and does not necessarily represent the company’s outlook. Mercatto S/A Quebra de paradigmas na coleta e governança de dados Fabio Ferreira Channel Sales Manager Brazil fferreira@informatica.com
- 2. 2 Data Migration Data Warehouse Master Data Management Customer Applications Real – Time Regulatory Reporting Application ConsolidationTeradataFastLoad OracleSQL,PL/SQL Queuing /Custom IM S Code TeradataTPump O racle SQ LLoad ALE/ID oc Oracle LogMiner (Change Capture) IMS ChangeCapture Oracle SQL TeradataMultiLoad BAPI WebServices WebServices WebServices WebServices CustomIMSDML Custom IMSDML Falta de visibilidade Alto custo de manutenção Dados heterogêneos de diversas fontes Diferentes requisitos e meios para consumir dados Abordagem Tradicional 87% das empresas utilizam hand-coding para Integração de Dados
- 3. 3 Dados: Ônus ou Bônus?
- 4. 4 Alto Custo de Manutenção
- 5. 5 Application Database Interaction Data … Cloud Computing Unstructured Data Warehouse Data Integration & Migration Test Data & Archiving Master Data Management Data Synchronization B2B Data Exchange Data Consolidation Abordagem Tradicional 87% das empresas utilizam hand-coding para Integração de Dados
- 6. 6 HUB DASHBOARD ADMINISTRATIVO SERVICOSDEINTEGRACAO DATA SOURCES Consumidores Serviços CDI Projeto Integração/Qualidade Arquitetura desejada
- 7. 7 • Onde está minha informação? • Como e quando posso coletá-la? • Qual o seu significado (negócio)? • É confiável? • Como colocá-la no formato que eu preciso? • Qual a estratégia de coleta para a entrega eficaz? • Como posso monitorar sua qualidade? Dúvidas para início do projeto
- 8. 8 Data Warehouse ConsumersProviders Plataforma de Integração Garanta a Entrega de Dados em qualquer Projeto ! Acessar Qualquer fonte de dados em Batch ou Real- time Integrar Transformar e consolidar dados TratarAnalisar Validar, corrigir, padronizar e enriquecer qualquer tipo de dados Buscar e investigar dados em qualquer origem Entregar Prover dados corretos, no momento e formato esperados
- 9. 9 Relatórios Objetos Negócio EnriquecimentoInformações Migração Sistemas Fontes de Dados Usuário Linhagem de Dados Gerenciamento da Inteligência de Migração
- 10. 10 B2B Data ExchangeB2B Data Exchange Informatica supports the requirements of cross-organizational data exchange, so users apply familiar & trusted data integration tools and techniques to the growing practice of B2B data integration. Cloud Data IntegrationCloud Data IntegrationEnterprise Data IntegrationEnterprise Data Integration Complex Event ProcessingComplex Event Processing AgentLogic provides the means for Informatica to couple event processing with its identity resolution and change data capture technologies that can further help pinpoint changed events Ultra MessagingUltra Messaging 29West is best-known for its low-latency Latency Busters Messaging (LBM), which is used extensively in financial markets for streaming market-data applications. 29West is used by seven of the top 10 investment banks Data QualityData Quality Master Data ManagementMaster Data Management Application ILMApplication ILM Informatica's heritage in data movement and integration technology, expertise, and experience makes it an obvious choice for the application ILM needs of harried data management professionals. It also expands the company's addressable market to encompass an adjacent growth category. ULTRA MESSAGING COMPLEX EVENT PROCESSING B2B DATA EXCHANGE CLOUD DATA INTEGRATION ENTERPRISE DATA INTEGRATION APPLICATION ILM DATA QUALITY MASTER DATA MANAGEMENT Liderança Tecnológica Comprovada…
- 11. 11 Fundada em: 1993 Receita 2012: US$ 811.6 M Crescimento Médio: 17% (Nos Últimos 7 Anos) Funcionários: 2.810+ Parceiros: 450+ Maiores líderes de SI, ISV, OEM e On-Demand Clientes: 5.000+ Clientes em 82 países Presença Direta em 28 países Nº 1 em Fidelidade do Cliente (há 7 anos sucessivos) 84 da Fortune 100 87% + do Dow Jones Org. Gov. em 20 países INFORMATICA A Líder Independente #1 em Integração de Dados
- 12. 12 Informatica no Brasil Filial São Paulo IS Informatica Ltda Av. Nações Unidas 12901 (CENU) 3º andar São Paulo - SP - Brasil 04578-910 Escritórios Comerciais/Serviços Rio de Janeiro, RJ Brasília, DF • Início das Operações em 2005 • Escritórios em São Paulo, Rio de Janeiro e Brasília • Práticas de Suporte, Serviços Profissionais e de Treinamento estabelecidas • Base Atual de clientes em diversos setores da indústria Varejo, Óleo Telecomunicações, Finanças, Governo, Mineração, Saúde,Seguros,Gás, etc)
- 13. 13 A Abordagem da Informatica … Uma plataforma Compreensiva, Unificada, Aberta e Econômica Data Warehouse Projetos de Integração de Dados Migração de Dados Arquivamento Dados / Sistemas Gerenciar Dados Mestres Sincronismo Dados Integração Parceiros (B2B) Consolidação Dados / Sistemas Processamento Eventos Complexos Ultra Messaging
- 14. 14 • Permitiu a integração em tempo real utilizando infraestrutura ágil e flexível. • Garantiu acesso on- demand a sistemas heterogeneos sem programação manual • Simplificou o processo de sincronização de dados Melhorar a qualidade do Serviço de Informação de Crédito e reduzir o consumo de recursos do mainframe - mips IMPERATIVOS CHAVES DE NEGÓCIO DIFERENCIAL INFORMATICA RESULTADOS/BENEFICIOS • Modernizar, expandir e refinar o gerencimento de processos • Obter informação financeira atual de todas as plataformas (Mainframe e Baixa plataforma) • Reduzir custo operacional para implementar e manter a solução O DESAFIO INICIATIVA DE TI Redução de consumo de recursos do Mainframe (mips) • Reduzir consumo de recursos de Mainframe • 700 Milhões de registros do DB2 Mainframe, por semana, para serem sincronizados com a baixa plataforma • Melhorar a qualidade do serviço para as instituições financeiras (~ 6017) • Aumentou a qualidade do serviço para as instituições financeiras • Reduziu consumo do Mainframe - mips em 20% • Aumentou a segurança operacional sem arquivos intermediários • Rápida implementação a um baixo custo PROJETO DE INTEGRAÇÃO DE DADOS Data Synchronization ref123 Banco Central reduz consumo de recursos de mainframe em 20% com o uso das soluções da Informatica
- 15. 15 Informatica no Brasil Serviços Financeiros Telecomunicações Industria Varejo e Serviços Seguros Distribuição Energia e Agua Governo e Setor Publico Saúde
- 16. 16 Perguntas ?
- 17. 17
Notas do Editor
- Problem: Data Fragmentation Leads to Costly “Integration Hairball” As systems and applications have proliferated across the enterprise, a huge number of heterogeneous data sources have come into play. And different teams have used different technologies and approaches to integrate data across those systems. In part this is because different consuming systems– reporting tools, portals, ERP applications, etc.– have different requirements for what data they need and how they need to consume it. Too support all these different needs, an “integration hairball” has resulted, with thousands of point-to-point connections built up over time. This hairball is extremely complex and brittle– it’s far too difficult to maintain it, much less change it, as every change can have a potential ripple effect, breaking other integration points and systems. And because of the complexity of the hairball, it’s almost impossible to have visibility and transparency into your important data as it flows through the business.
- Data is one of the most valuable assets for any enterprises. It’s the lifeblood of business operations and decision making. But enterprises like yours are dealing with overwhelming data challenges. Huge volumes of data. Data scattered across the enterprise, and now outside the enterprise. And it’s a big effort to turn all that data into valuable information for the business. If you can harness all your data and turn it into valuable information, it’s an extraordinary asset to the business. But if you aren’t able to integrate and manage all this data, it can become a major liability.
- Key Point: It is important to start with understanding because of the complexity of most IT environments – integration cannot succeed without having a baseline of understanding within this complexity So let’s drill down on why it is important to have these functions all together in a unified platform. Why is it important to start with understanding? Many of our IT environments look like the diagram on this slide (which came from an actual customer environment and is actually slide 1 of 2). Our systems have grown over time in strange ways – through acquisitions, through tactical “quick fix” projects, and through new system implementations where the old systems were never actually retired. So what we’ve ended up with is a very complex picture – filled with fragile point to point connections, redundant data, and disaggregated information. Within this environment it is very difficult to answer even very simple questions? Where is my information? – how do I find my customer in this mess, for example. Customer information is probably spread all over the place in this picture. What does the information mean? – how does each system define customer Can I trust it? Is this data correct? Which system has the best information? How do I get timely information where it needs to go? And most of all, how do I control information in the face of all this complexity? Need to understand all the places where information is kept Need to understand exactly what is in a data source Need to understand fitness for its intended purpose Need to understand how different sources are related to each other Need to use this understanding to automate & assist integration
- So how does the Informatica product platform help you right start your data warehousing initiatives within your IT architecture? Our platform is comprised of four products that, together, automate the entire data integration lifecycle . These four products are well-integrated, complement one-another, and can be extended through a number of add-on options (from Informatica and others) to deliver the best overall data services functionality within the enterprise’s IT architecture. You start by accessing data. With Informatica PowerExchange , you can access all data types in any system, in batch or real-time, in a very flexible manner, so your data is more usable. <click> The next steps in the data integration lifecycle are discovering what’s in those data sources and cleansing all types of data. With Informatica Data Explorer , you can profile and search your data to understand what your data issues may be. With Informatica Data Quality , you can by validate, correct, and standardize all the types of data you have. <click> The final two steps in the lifecycle are integrating and delivering the data. With Informatica PowerCenter , you can transform and reconcile all data types from all different sources, including unstructured and semi-structured data, and then deliver that data to the right place, at the right time, and in the right format. <click> This breadth of connectivity is crucial comparing against hand coding. In a hand coding environment – most of the things we can get to DIRECTLY require additional extracts or staging. IE How do you write PL SQL to get SAP data? You don’t. Someone hand codes an ABAP program to dump a file and then you write PL SQL to read the file or stage it to a db. Now you have 2 and 3 diff programs/technologies in play to provide SAP access vs a tool that provides drivers/connects directly to a wide variety of data. The connectivity provides a seamless architecture for data sources now and in the future. Lets say you get a new data source that is a PDF. Now, how would you source PDF with java code or PL SQL? You can’t at all. With the Informatica platform – an additional connector (PWX for B2B) is all you need and the same scheduling/development architecture is leveraged for the new data source. These are key points to consider. In data warehousing you are always seeing your source data structures change as applications are upgraded/enhanced or sometimes migrated/replaced. How do you respond quickly and effectively in a hand code environment? You don’t. This is where a tool really provides that level of adaptability. From an IT perspective, it’s important to have robust, easy-to-use development and management capabilities that can be used in each of these five steps to help your IT teams develop logic around your data and to better collaborate with each other. By leveraging a common repository and shared metadata , enterprise data is made more consistent, productive, and reusable across many different integration projects.
- Intro 1. In almost all enterprises, data is fragmented across multiple departmental databases and applications like ERP and CRM. It’s a huge challenge just integrating all this data. But a lot of important enterprise data such as planning data is locked up in unstructured documents like Microsoft Excel. It’s critical to integrate all these various types of data to manage the enterprise holistically. But it gets even more complex. As companies adopt cloud applications and cloud computing, more and more data is also now hosted in the cloud. And also, more and more data is being shared with trading partners including suppliers and customers. To tackle this multi-faceted growing data fragmentation and delivery challenge, we deliver five best-in-class technologies. Enterprise data integration to integrate all the data silos managed within the enterprise, including unstructured data. Cloud data integration helps you retain control over off-premise data managed in the cloud. B2B data exchange enables you to share and manage data with partners. And in certain cases such as stock trading, where extremely low-latency, high-throughput delivery and dissemination of data is critical, we provide ultra messaging capabilities. And to address all the growing volumes of data, we provide Information Lifecycle Management to cost-effectively and securely manage that data. These five capabilities are the core foundation for integrating, moving and managing data across the extended enterprise. But that is not enough. Once you have integrated and managed the data, you still need to turn it into information that is of value to the business. To unlock the business value of all this data, we deliver three best-in-class technologies. Data Quality to cleanse the data and ensure that the business can trust it. Master Data Management to govern the most strategic information assets and ensure you can gain competitive advantage from it. And Complex Event Processing to sense to events as they occur, and to be able to act upon all the data coming in. The Informatica Platform provides all of these capabilities, to ensure you can integrate and manage all your data, and so that you can transform it into valuable information for the business.
- This is the Informatica Corporate Presentation