Generalizable data is a valuable resource that can be used to make informed decisions and predictions across various contexts. By analyzing trends and patterns in this data, organizations can gain insights that can help them improve their operations and strategies. Additionally , generalizable data can also be used to identify potential opportunities for growth and innovation within an organization. By understanding the underlying factors driving certain trends, businesses can proactively adapt and stay ahead of the competition. For example, a retail company can use generalizable data to track customer purchasing behavior and preferences, allowing them to tailor their marketing strategies and product offerings accordingly. This can lead to increased customer satisfaction and loyalty, ultimately driving revenue growth for the business.
data what kind of dataquantitative data.
The information collected from an observation is called data.
DATA
it means the data is different; the data varies.
Specific data gives you more information and is more reliable.
It is truly only applicable in agricultural markets since they operate with a large time lag between changes in price and changes in production as a result of price. This means that this theory is only generalisable to to one segment within a sector of the economy. It also shows that investment will be harder as a result of decisions made by farmers.
Metadata is data that is about data.?æ Although it describes the data, it's not considered business data. Master data is business data. Run-time data is data that is in the process of being run.
Data Store Data Reserve Data Stow Data Warehouse Data Repository Data Depot Data Storehouse
A data dictionary is a repository that contains definitions of data processes, data flows, data stores, and data elements used in an organization. It helps to provide a common understanding of data terminologies and structures within a dataset or system. Data dictionaries are often used to maintain consistency and clarity in data management and analysis processes.
Data formats: It is formating all data file from pcs.whatever it is not use.suppose when data is full,and some data we want to delete it.. Data collection: It is the collection of new data file.when new data is collecting..
Metada data is data that describes other data.
Data cleaning is where the data may have missing data such as gender and the data manager has to go back to the source to find the data or data is incorrect and has to be corrected back at the source.
a noun u can get data and use data but not do data
The initial data that you collect is raw data.
No, Moving data is not same as duplicating data. When we copy data that causes duplication of data . And while moving we are just changing the storage location of data.To copy data is duplication, but to move data does not cause duplication.
Measurable data is data that can be measure by a quantity. Measurable data is also known as quantitative data.
Data files are data whereas data records are backups.