Oracle OBIEE provides the interactive dashboards feature. Interactive dashboards are essential for BI & analytics. Here’s a quick list of the key features of OBIEE: Now let’s take a quick look at the features of Oracle OBIEE. The end-users consume data from the Presentation layer and perform their data analysis. The data in the Presentation layer is your organization’s single source of truth.
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The role-based data access privileges are also managed in the Presentation layer. The data is managed in Subject Areas, as well as Reports, which are in turn created based on the Subject Areas data.Įach Subject Area has fact and dimension tables, and their relationships are defined based on the Star or Snowflake schemas. The Presentation Layer is where the data processed in the Business Layer is organized in an analytics-ready and structured format, for performing data analysis. You can also create and manage custom dimensions in the Business Model Mapping layer. The Business Model Mapping layer also enables you to perform calculations to your dataset. You can structure/format the incoming data in the Physical layer with the Business Model Mapping layer. OBIEE’s Business Model Mapping layer helps you navigate all such scenarios successfully. There are many such scenarios we could talk about.
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You may experience slower queries if you don’t eliminate the duplicated rows/columns. In this case, you may have the possibility of eliminating redundant columns/rows of data to run your queries faster. Your Accounting and CRM systems could have a common data point, that’s either unique for each record or not unique.In this case, you cannot combine the data from your CRM and HRMS for analysis until they all use the same format. Your CRM could have location (or address) fields, say State stored as abbreviations (say TX, instead of Texas) while the State field is used for storing the complete state name in your HRMS.For example, consider the following scenarios: The attributes of the data in each data source connected to your OBIEE’s physical layer could vary a lot. In the physical layer, you can also schedule data refresh, or manage live connectivity with your data sources, based on the options available in each of them. In other words, you can access the raw data in the physical layer. The physical layer serves as your OBIEE’s touchpoint with the different data sources and helps you access the data on an as-is basis.
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Or any other application or tool, the data from which helps in making business decisions. Customer Relationship Management (CRM) system.Some of the commonly used data sources are: In simple terms, the physical layer is where your OBIEE gets directly connected with your different data sources. OBIEE is in fact, an organizational asset for these companies as effective data management is a necessity for data-driven business decisions. This important piece is missing in OBIEE.ĭespite the absence of true self-service capabilities, OBIEE still maintains an edge over the modern data visualization tools from a data management perspective.Īt present, a large number of enterprises using Oracle OBIEE have already created a single source of truth with decades of effort and investment. The users want to visualize the data in a self-service model. In today’s scenario, where data-driven decision-making is new normal, maintaining a single source of truth alone is not enough to meet user demands. OBIEE was one of the most-sought BI platforms by enterprises, until the leading data visualization tools of today flooded the market and revolutionized the analytics experience with a self-service model. Oracle Business Intelligence Enterprise Edition (OBIEE) is a traditional BI and Analytics platform used by enterprise companies for around a decade. In short, this blog post will serve as your go-to resource for simplifying your Oracle OBIEE data visualization. We’ll also compare OBIEE with other tools, and share the ways to simplify OBIEE data visualization. First, we’ll cover what’s OBIEE, followed by its architecture and features, with a quick analysis of its pros and cons.
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If you’re not familiar with OBIEE, no worries! We’ll go from scratch.
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In this blog post, you’ll know how to overcome OBIEE’s data visualization limitations without cumbersome excel exports or expensive re-engineering.