Today, the situation is totally different. BI search is driven by metadata. It provides search functionality over broad categories of report metadata, including report definition metadata and report structure metadata. Report definition metadata is a set of metadata that describes the identification of the report. It includes report name, author, etc. Report structure metadata describes the structure of the report. It includes report title, header, query, prompts, sections, tables, charts, alerts, filters, etc. With the empowerment metadata, search has been simplified today to the extent that to locate a report, one needs to know very little about that report. 数据挖掘交友
数据挖掘工具
Scope and coverage of BI search is evolving. The future roadmap of BI search promises features such as structured data exploration. This means users will have the capability of tracing a report to its source and examining the data at source instead of following the traditional way of running a report and fetching the data. Powered by such features, BI search has the potential to replace ad hoc query tools and help minimize the number of ad hoc reports created in the organization.
数据挖掘研究院
Scenario-Based Solution Strategies
数据挖掘交友
数据挖掘研究院
BI search solution implementation provides quick access to all BI artifacts in the enterprise. The success of a BI search solution is heavily dependent on its implementation strategy. Before studying various implementation strategies, let us quickly examine two scenarios that can exist in an enterprise:
