Sean\'s EBI Introduction Presentation
- 3. Processes, systems and methodologies that support business decision making and is results oriented. Allows the Gathering, Storage, Processing and Analysis of Corporate Data. Produces Knowledge:
- 4. Plays a key role in all organisational levels. Includes Data Mining, Analytics, Predictive Analytics, Business Performance Management, Querying and Reporting. It’s relative to the user! Dashboards Ad-hoc Querying Preformatted Reporting
- 5. Strategy Strategic Planning Process Business Intelligence Fact-Based Decision Making Plan, Monitor, Improve Information Information Layer Data Integration Integrated Data Data Integrated Data Sources
- 6. Continual review of strategy and improvement of business processes. Rapid development of new business processes. Processes result in divergent system requirements. Very complex application and database ecosystems with large volumes of data. Application and Data Silos requiring tertiary integration systems. Coupling and Decoupling is difficult. Limited singular and unified view of business information. Lack of definition and Data Quality issues.
- 7. There is a need for operational performance and direction to meet with vision.
- 11. Understanding the business and how it functions Large volumes of data and complex processes are dependent upon powerful BI platforms to yield competitive advantage This allows the development of innovative business processes Allows large, dynamic entities to rapidly scale-up in emerging markets Is realised through efficiency, effectiveness and customer satisfaction Facilitates the development of Enterprise Performance Management platforms (EPM)
- 12. The most important aspect of an organisation is the people who work there Deep knowledge of many complex business processes, issues, subject areas and how technology can support an Enterprise BI vision Shift in people’s attitudes to BI and change in corporate culture Allows for the management of the business in better ways. Provides the tools to empower people
- 13. Aligned business and IT plans related to Enterprise BI facilitate change Requires careful planning, deep understanding of business requirements and understanding the lifecycle Fosters a Shared vision Provides a framework that allows for the unification of reporting platforms and the creation of an Enterprise Data Warehouse
- 15. Provides a framework to consolidate requirements into an actionable vision that is shared by users through to Board-level members: Mission Statement Definition of BI Committee Budget Roles & Responsibilities Project Inception Strategy Departmental Strategy & Management Existing Data Warehousing, BI Platforms and GAP Analysis
- 16. End User Segmentation User Requirements User Support Strategy EBI Strategy Data Governance Data Quality Business Definitions BI Vendor Selection Criteria Data Warehouse Strategy
- 18. ?
- 19. Balances the demands of more complex data in greater volumes under budget pressure. Do more with less and resolve information chaos! Self-Service BI = Typically a compliance nightmare with no SVOT…but with new tools… Lean increases the productivity of knowledge workers with new tools extracting information directly from business processes New tools (BI 2.0 and 3.0) are scalable, provide simple (but powerful) search-driven analysis interfaces and require little or no training Support SoBI and Semantic technologies (Mashups)
- 20. Increases organisation penetration and synergy Reduces time and cost waste with typically lower development costs and system lifetime Technology can be augmented over iterations and time aligning with BI Strategy and shifting business requirements Application of some Agile methodologies
- 21. Provides cross-business analysis, alerts and feedback mechanisms with expectations and performance clearly defined Enhanced access to information in a controlled fashion i.e. the right data at the right security level Creates new change mechanisms i.e. bottom-up through empowerment Utilises dashboard and workflow interfaces linked to KPI’s Facilitates enterprise-wide drill-down capabilities from executive view incorporating proactive change Pushes management information down the organisational hierarchy
- 22. Leaves source systems in place and deals with data integration- the costliest aspect of EBI initiatives Complex enterprises are leveraging analytic data to trigger operational decision making Supports Pervasive and Lean objectives of availability and relevance Isolates users from the underlying complexity of data, focusing on the business meaning of the data Provides an architectural framework to achieve EBI in complex multi-system environments Provides a common data transformation and event-driven mechanisms aligned with business rules Example: Oracle Fusion Middleware (Oracle SOA Suite)