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
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 Read more
The term “tabular” refers to data that is displayed in columns or tables, which can be created by most BI tools. These tools find relationships between data entries in one or more database, then use those relationships to display the Read more

Metadata

Metadata is data that contains information about other data. Metadata, in general, is used almost everywhere. The most common example is the use of meta tags in a web page. Search engines use these meta tags to identify a web page’s relevance, then rank the page among others based on what was searched.

Many types of data have more information within them. Just like how a book has information on its author, year of publication, and title, many other sets of data have information that describe them. For example, a document has information on when it was created, who it was created by, when it was last edited, etc. All this information is the metadata for the document.

Digital marketers mostly collect metadata by tracking each click of an individual (if they are permitted to gather information from the individual). Cookies are used to collect the individual’s data; this metadata can be location, age group or any other information. Based on the collected metadata, digital marketers can appeal to the individual’s preferences.

Types of Metadata

Metadata is classified into three types: Descriptive, Structural, and Administrative.

  • Descriptive Metadata — Used for searching, browsing, filtering and identifying an object/information. Descriptive metadata may contain elements including keywords, description or author.
  • Structural Metadata — As the name suggests, this metadata describes the structure of the object. An example of structural metadata is the organization of multiple pages as chapters in a book.
  • Administrative Metadata — Provides information for managing the source and discusses technical information such as file type.

Related Links

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