The input of data processing and business intelligence typically consists of raw data collected from various sources, such as databases, sensors, social media, and transaction records. This data can be structured or unstructured and may include numerical values, text, images, and more. Once collected, the data is cleaned, transformed, and analyzed to extract meaningful insights that support decision-making and strategic planning within an organization. Ultimately, the goal is to turn this input into actionable intelligence that drives business performance.
There are many services that are related to the Business Intelligence Implementation. Examples of the types of services that are related to the Business Intelligence Implementation includes data mining and online analytical processing.
the electronic data processing consists of three stages which are the INPUT, the PROCESSING and the OUTPUT stages.
The importance of data processing is that it presents data in the desired format. The processing of data will depend on the data that is input in the system.
Business data processing and Scientific data processing.
the answr is "INPUT"
Business Data Processing (BDP): Data processing in accounting or business management Scientific Data Processing (SDP): Data processing in experiments, or computations using data collected from such activities.
The second stage of the processing cycle is data input. This involves entering raw data into the computer system for further processing and analysis. Input devices such as keyboard, mouse, and scanner are used to input data into the computer.
1. business data processing 2.scientific data processing ako si jayveelim ang data processing
1 : Input (Enter Data ) 2: Processing(Manipulate Data ) 3: Output ("View" Processed Data ) 4: Storage ( Store Data)
The three stages in the processing of data are typically referred to as data input, data processing, and data output. In the data input stage, raw data is collected and entered into a system. During data processing, the input data is organized, analyzed, and transformed into a usable format. Finally, in the data output stage, the processed information is presented in a form that is understandable and actionable, such as reports or visualizations.
business data processing: accounting, billing, inventory management, etc.scientific data processing: analysis of experimental data, simulation and modeling of physical systems, experimental data collection, etc.
The four phases of the information processing cycle are input, processing, output, and storage. Input involves capturing data, processing involves manipulating and analyzing the data, output involves presenting the results, and storage involves saving the data for future use.