Big Data and Analysis is the great intellect of market science, it is a systematic process of obtaining and processing precise knowledge to provide answers to relevant questions and hypothesis testing attempts to clarify a phenomenon problem.
There are two segments:
1) Data Collection
2) Data Analytics
Data Collection: The compilation and evaluation of data on specific variables developed by the program to determine findings by responding to related questions.
Data Analytics: The collection of model data to be examined for analysis includes Identifying relevant details, determining intent and assisting in the decision making of the research problem.
DIFFERENCE BETWEEN DATA COLLECTION & DATA ANALYTICS
In their inter-related operations, the distinction between them apart from their primary functions is as wise data the analysis relies on various sources and approaches through which data analytics emphasizes resources and knowledge from them. The methods of collecting data focus on:
- The research problem under study
- The research design
- The information gathered about the variable
Process of collecting Data Sources:
- Collecting new data from internet and other sources
- Using existing data
- Reusing old data
- Purchasing data
There are two specific data collections methods:
- Primary Data collection methods:This data was first obtained by the researcher, which is the original one. Such data is collected for a particular question study in which every similar exercise has been carried out by someone else. This method is time-intensive and costly.
2. Secondary Data Collection Methods:
This data is supplied to the researcher by someone else who is often considered “Second Hand Data.” This secondary data is not validated as a comparison to primary data, but is also pocket friendly and readily available than the primary data.
The data include the numerous management approaches including quantitative and qualitative analysis according to the selection process. While we concentrate on our range of offerings to acquire trustworthily business knowledge, allowing creditability & integrated business approaches promote flexibility and interaction.
Global data collection:
When an organization establishes and enters the market, it is always better with secure, correct, appropriate and modified details to go forward to reach the customer and be prepared to send the competition to existing organizations in the same business area. Accuracy and quality always come by the good decision and without preparation it hard to achieve, Data collection is the most important exercise which has to do before targeting the users. In market analysis, anticipation, intuition, the instinct of such terms are not relevant. It’s not like the calculation because it’s all based on ground analysis on particles.
Data processing may require specific methods according to the selection methods, which rely on variable tools;
Qualitative Data Collection Tools:
This tools, which later transcribed in written form, captures the non-numeric and unstructured information in the form of audio & video For example, in making a decision (not just what, where, where, or who), and having a good base in the field of sociology to consider policy and social services, qualitative methodology is the perfect way to study many of the why and how problems of human life.
Quantitative Data Collection Tools:
This research is defined by collecting quantifiable data and performing statistical, mathematical, or computational techniques as a systematic investigation of phenomena. The measuring method is crucial to quantitative analysis, as it provides the fundamental link between scientific evaluation and mathematical representation of quantitative relationships. These tools analyze the data with the help of statics and hope the numbers will yield an unbiased result that can be generated to some larger population. Here is the complete guide of the Question pro:
Project Management Data Collection Tools:
It provides tools to help a person or team coordinate research efficiently and execute project tasks effectively. The questionnaires and surveys are a cost-effective method of collecting data using these methods. To achieve project goals, it is assessing, reporting and handling the needs and expectations of the stakeholders.
Market Assessment and Analysis of Data Collection Tools:
These techniques develop your data collection skills and ease your decision, conduct these five steps in the data analysis process:
- Specify your request
- Set a consistent standard of measurement
- Information processing
- Evidence of study
- The findings of the analysis
Conclusion
Data collection is the task of collecting and maintaining the necessary information in the appropriate format using main or secondary methods. Information processing is the next step of data analysis, and accuracy is tested and cross-checked here with the handled data. This also discovers the lost details and obsolete details, along with ways to use and verify them. Thus, subsequent decisions are taken using objective evidence, based on reasons expressed in the results. The method offers both a benchmark on which to calculate and an indicator of whether to change in some situations.