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The construction of a partial system to demonstrate some aspect or aspects of the intended system behavior in order to gain user acceptance or to establish technical feasibility. 

A diagram that pictorially represents entities, the relationships between them and the attributes used to describe them.

The End user layer is the user interface on top of the multidimensional structures designed for data access tools. Here, the technical layer (databases & relations) is transformed into a business layer, understandable for the end-user. 

The process of summarizing or combining data. It can be used to speed up query performance. Facts are summed up for selected dimensions from the original fact table. The resulting aggregate table will have fewer rows, thus making queries run faster. 

Levels are an implementation of the hierarchies that represent the level of detail viewed in a dimension. As an example, for a time dimension hierarchy, we have levels for year, quarter, and month.

A spreadmart (spreadsheet data mart) is a situation in which a company's employees have inconsistent views of corporate data because each department relies on the data from their own spreadsheets.

Data sampling is a statistical analysis technique used to select, manipulate and analyze a representative subset of data points in order to identify patterns and trends in the data set being examined as a whole. 

Anaplan is a web-based enterprise platform for business planning, budgeting and forecasting. Anaplan is also the name of the company that created the platform.

An infographic (information graphic) is a representation of information in a graphic format designed to make the data easily understandable at a glance. People use infographics to quickly communicate a message, to simplify the presentation of large amounts of data, to see data patterns and relationships, and to monitor changes in variables over time. 

A data scientist is a job title for an employee or business intelligence (BI) consultant who excels at analyzing data, particularly large amounts of data, to help a business gain a competitive edge. To do so, the employee is using statistical & data mining techniques.