Cognitive Analytics is intelligent technology that covers multiple analytical techniques to analyze large data sets and give structure to the unstructured data. To put it simply, a cognitive analytics system searches through the data that exists in its knowledge base Read more
Build the Reports That You Need When You Need Them Data Modeling & Management Orbit’s data modeling functionality achieves highly-tuned queries by identifying the objects needed from multidimensional data relationships. You can build reports as per your business requirements to Read more
Simple, Intuitive, and Powerful Dashboards Data Visualization: Dashboards Orbit Reporting and Analytics brings all of your data together in real-time and interactive dashboards, so you can gain a clear view of your business – at a glance. View Data from Read more
A measure of key business objectives of an organization. A Key Performance Indicator (KPI) is a measure that determines how effectively, or ineffectively, organizations, projects or individuals achieve their key business objectives compared to their strategic objectives and targets. With Read more
Pivot tables and crosstabs are ways to display and analyze sets of data. Both are similar to each other, with pivot tables having just a few added features. Pivot tables and crosstabs present data in tabular format, with rows and Read more
Pixel perfect describes reports where the user can manipulate the size and layout with precision. This includes allowing the user to change the size of the report, the size of the printed page, and the position of the different elements Read more
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Subject Area Modeling

An initial level of Enterprise Data Model (EDM), which provides a structure for organizing EDM by Subject Areas.

A Subject Area Model, together with a Conceptual Model and a Conceptual Entity Model forms the complete structure of the Enterprise Data Model (EMD). Subject Area Modeling is the initial level of an Enterprise Data Model.

A Subject area model is a type of metadata that consists of numerous fact tables that are then referenced. Often, it is hard even for a larger team to design, develop and organize enterprise data, without breaking it into more manageable chunks; and the fundamental idea here is to “divide and conquer”.

Subject area modeling shapes the EDM using business subject areas rather than by data systems or applications. This type of modeling allows business users to more easily access relevant and related content upon which they can then build their insights.

A subject area refers to high-level organization of data representing a group of related concepts within a specific functional area of an organization.

In the general sense, assume the subject area as a room in a house. For example, a dining room contains items for dining (dining table, dining chairs, dish storage, silverware, place settings, décor, etc). Similarly, in the technical sense, tables of a specific application context are logically grouped to form a subject area.

Examples of subject areas include Accounts, Billing, Resources, Process and Financials. Going deeper, when the subject area “Accounts” is imported into an application, all the tables under it are also imported.

Considering the Accounts subject area, it can contain the account related tables (Accounts Payables or Accounts Receivables) under it.

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