For any project, either intending or ongoing, resource gathering and data quality is vital to the final output to be derived. Anyone can acquire data but highlighting the right parameters for acquisition, their consequent indicators, and the methodology that guarantees maximum precision is primary in any data acquisition process.
An error-free data, sets the tone for precise final information. Thus, the emphasis has to be on data acquisition.
At the kernel of any project’s decision-making, is the decision about the data set to be used and the acquisition methods. For a project that intends to generate primary data through field processes or questionnaires, a clearly defined routine of acquisition has to be created. On the other hand, projects that source for secondary data through the existing records and research is required to define the approach of utilization.
Notably, Data acquisition simply describes the process of sampling real-world physical conditions or existing data to extract vital parameters that can be read, queried, and analyzed through special applications on a computer or other systems.
The huge volumes of available data sets available today have spurred a lot of actions and questions about data acquisition. These questions include;
- What are the techniques for primary data acquisition?
- What are the competent methods of secondary data sourcing?
- What are the parameters to be considered to achieve efficient data acquisition?
The consistent effort to provide great answers to these questions have helped shape the evolution of the data acquisition process.