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In memory analysis 衍華

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  • 1. Definition business analytics (BA) This was last updated in August 2010 Editorial Director: Margaret Rousehttp://searchbusinessanalytics.techtarget.com/definition/business-ana 報告人 陳衍華 2012.07.04 1
  • 2. BA• BA is used to gain insights that inform business decisions and can be used to automate and optimize business processes.• Data-driven companies treat their data as a corporate asset and leverage it for competitive advantage.• Successful business analytics depends on data quality, skilled analysts who understand the technologies and the business and an organizational commitment to data-driven decision making 2
  • 3. BA (Cont.)• Exploring data to find new patterns and relationships (data mining)• Explaining why a certain result occurred (statistical analysis, quantitative analysis)• Experimenting to test previous decisions (A/B testing, multivariate testing)• Forecasting future results ( predictive modeling, predictive analytics) 3
  • 4. BA (Cont.)• Once the business goal of the analysis is determined, an analysis methodology is selected and data is acquired to support the analysis• Analytic tools range from spreadsheets with statistical functions to complex data mining and predictive modeling applications 4
  • 5. BI vs BA Business Intelligence Business Analytics What happened? Why did it happen?Answers the When? Will it happen again? questions: Who? What will happen if we change x? How many? What else does the data tell us that never thought to ask? Reporting (KPIs, Statistical/QuantitativeIncludes: metrics) Analysis Automated Data Mining Monitoring/Alerting (thresholds) Predictive Modeling Dashboards Scorecards Multivariate Testing OLAP (Cubes, Slice & Dice, Drilling) 5 Ad hoc query
  • 6. In-Memory Analysis Delivering Insights at the Speed of Thought BY WAYNE ECKERSONDirector of Research, Business Applications andArchitecture Group, TechTarget, December 2011 報告人 陳衍華 2012.07.04 6
  • 7. THE PURPOSE OF THIS REPORT• profile the capabilities of next- generation business intelligence (BI) tools with emphasis on new visual analysis tools• and in-memory processing.• interviews with BI practitioners and briefings with sponsors of this report.• also based on a survey of 240 BI professionals 7
  • 8. BI framework 2020 CasualPower & Casual User – 80%user Power User- 20% 8
  • 9. • Continuous intelligence – Accelerates the delivery of information to users, and in some cases, correlates events and triggers alerts when it’s time for humans to intervene• Analytics intelligence – gives power users a variety of desktop analysis tools to explore and analyze data in an unfettered fashion so they can answer unanticipated questions.• content intelligence – both casual and power users can access and analyze to include semi-structured and unstructured data. 9
  • 10. Reporting vs. Analysis• At the highest level, the two primary BI applications—reporting and analysis—are fundamentally different applications with very different types users and unique workloads, design frameworks and architectures.• Top down and Bottom up 10
  • 11. Reporting Versus Analysis: Distinct Workloads, Users and Architectures 11
  • 12. Top down• Reporting – monitors business activity using metrics that are aligned with strategic goals and objectives• To design reports and dashboards—visual exception reports – need to know in advance the questions casual users are going to ask – will differ depending on their roles in the organization.• To create reports – the typical organization first builds a data warehouse or data mart that contains a model of how 12
  • 13. Bottom up• analysis is a “bottom-up” activity in which analytical experts use a variety of tools• power users often need to access a variety of data sources, explore and merge the data• analyze the results and present their findings in a concise and comprehensive way to business executives and managers.• answering unanticipated business questions 13
  • 14. Misplaced expectations• .The challenges that most organizations experience with BI tools – often have less to do with vendor products than with customer expectations about the products.• Recognize that you need both top-down• and bottom-up BI tools and that these tools need to work together, not against each other. 14
  • 15. Next-Generation BI Capabilities• Top-down capabilities• Bottom-up capabilities• Self-service• END-USER CHARACTERISTICS – enable users to change what they see on the screen without IT or power-user involvement – Interactive , Visual, Flexible, Analytical, Predictive, Collaborative, Mobile• IT CHARACTERISTICS – Fast, Deploys quickly, Any data source, Scalable, Reusable, Maintainable, Manageable, Comprehensive, Portable 15
  • 16. Top-Down and Bottom-Up Approaches to Self-Service BISelf-service BI promises to provide business users with easy-to-use tools that enable themto get the information they want, when and how they want it without IT or power-userintervention.Functionality onDemand 16
  • 17. Mapping Types of Users to Self-Service Hierarchies Both casual users and power users both consume and produce reports and analyses, but power users exploit more advanced features. 17
  • 18. In-Memory Databases vs. Intelligent Caches 18
  • 19. In-Memory Databases vs. Intelligent Caches (cont.)• Intelligent caches speed response times for pre-run queries – still giving users access to data stored in remote databases (of any size).• In-memory databases speed response times for all queries running against a downloaded data set – but don’t provide direct access to remote data.• Some tools use a hybrid approach users can choose to query remote data or download data to a local server or desktop to improve query performance. 19
  • 20. 報告完畢敬請指教 20