1. Lívia Sarto Santos Viviane Ribeiro
Especialista de Produto Especialista em Banco de dados e BI
Microsoft Brasil Microsoft Brasil
E-mail: v-lisan@microsoft.com E-mail: v-viviar@microsoft.com
Blog: http://liviasarto.wordpress.com/ Blog: http://vivianeribeiro1.wordpress.com/
Twitter: @liviasarto Twitter: @viviane_sql
3. Desafios de Business Intelligence Hoje
Como posso...
Começar rápido, mas fazer algo para durar?
Atender aos requisitos de infraestrutura e conhecimentos especializados?
Lidar com a consolidação de fornecedores e me manter atualizado com múltiplas
ferramentas?
Fornecer aos usuários informações relevantes onde elas são necessárias?
Tornar iniciativas prontamente acessíveis a todos
Otimizar o uso de ferramentas familiares?
Garantir dados consolidados, sólidos e confiáveis?
Implantar para desempenho e escala?
Gerenciar com eficiência cargas de trabalho de toda a corporação?
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4. Visão e Estratégia da Microsoft
Democratização do Business Intelligence
BI para TODOS
BI para Poucos
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5. BI – Em toda a organização
Propagação da Informação
BI Organizacional
Solução de BI criados por TI, estabelecido contexto corporativo e é
reutilizável, escalável e confiável.
BI nos Departamentos
Solução de BI criado pelo usuário avançado. Para uma
equipe pequena e gerenciado no servidor.
BI Pessoal
Solução de BI criada pelo
usuário. Contexto é customizado
para o usuário e existe como
documento e análises
personalizadas.
Flexibilidade
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9. BI Semantic Model
Client Tools
Analytics, Reports, Scorecards,
Dashboards, Custom Apps
BI Semantic Model
Data model
Business logic
and queries
BI Pessoal BI na Equipe BI Corporativo
Data access PowerPivot for Excel PowerPivot for SharePoint Analysis Services
Data Sources Um Modelo para todas as Experiências do Usuário final
Databases, LOB Applications, OData Feeds,
Spreadsheets, Text Files
Challenges to Implementing BI SolutionsFirst Challenge: CostHow can I reduce the time to implement the solution?How can I make sure the solution I choose best utilizes the skill set of my organization and the infrastructure I have in place?How can I consolidate the number of vendor solutions that I have to maintain?Second Challenge: Meeting the needs of my end usersHow can I best deliver information to users that’s relevant to their needs, that’s widely accessible and adopted, and that reduces training time. Third Challenge: Maintaining the solution moving forwardHow can I consolidate my disperse data sources and ensure the data is sound and trusted?How do I keep up with the performance and scale needs of my organization?How easy is the system going to be to manage?
Purpose of the Slide: Introduce new semantic modelKey Points: Cover features and benefits of the semantic model.It is unified and supports all users for reporting and analyticsSupports both realtime and cached (VertiPaq) modesIncludes tools to develop and manage solutionsConclusion: New semantic model simplifies and unifies previous efforts for ALL workloads (Reporting, Analysis, Dashboarding, etc)
Purpose of the Slide: Overview slide. Introduce the changes that Denali brings and how PowerPivot and Analysis Services work together.Key Points: PowerPivot has the simplicity of usage and familiarity of Excel. Power users can create personal and team BI solutions by using PowerPivot. Analysis Services has the richness and scalability necessary for team and organizational BI. It has the richness of solution that enables you to create actionable BI solutions such as dashboards and reports. The capabilities include built-in security for fine levels of control, and a semantic model to accommodate enterprise needs.Denali is architected with scalability in mind. VertiPaq is the in-memory engine that works on the latest hardware.Conclusion: PowerPivot and Analysis Services work together to meet the needs of producers and consumers of BI.
Purpose of the Slide: Graphical representation of new BI semantic modelKey Points: Cover the layers: data sources, model, and clients. Classic 3-tier architecture.Supports using databases, LOB apps, files, and non traditional data sources.Many types of clients can use the underlying dataThe semantic model supports rich data modeling and business logic.
