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Statistical data are the outcomes or the observations which occur in scientific experiments or an investigation. To conduct any analysis it is must to have some data.

A data object model allows defining the structure of 'business data' or 'business objects'. For example, a data object could represent a 'customer', a 'patient', a 'project', etc. with for example a name, address and/or other relevant information.

Statistics is the study of collection, organization, analysis, interpretation and presentation of data with the use of quantified models. In short, it is a mathematical tool that is used to collect and summarize data. Scope of Statistics: It presents the facts in numerical figures.

The goal of statistical analysis is to identify trends. A retail business, for example, might use statistical analysis to find patterns in unstructured and semi-structured customer data that can be used to create a more positive customer experience and increase sales.

Object statistics describe the data stored in the database. For example, they tell the query optimizer how many rows are stored in tables. Without this quantitative information, the query optimizer could never make right decisions, such as finding the right join method for small or large tables (result sets).

Data types do not use any memory space for work data, but may require memory for administration information. A data object is an instance of a data type and occupies as much memory space as its type specifies. An ABAP program only works with data that is available as content of data objects.

A data object is a region of storage that contains a value or group of values. Each value can be accessed using its identifier or a more complex expression that refers to the object. In addition, each object has a unique data type.