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Data analytics is the process of turning raw business data into insights that will help boost the growth of an organization. The information could come in the form or performance metrics or market trends, as well as customer segmentation, and predictive models. The goal is for the data to be converted into information that can be used to make informed decisions that are based on facts, not guesses.
For business success It is essential to have reliable and accurate data. However, creating that data is only half of the battle. It must be collected and analyzed before being stored in such a way that it is readily available to be used in decision-making.
Collecting Data
The first step in the life cycle of business data is data collection. It’s crucial to have a thorough understanding of what data you require and the method you’ll use to collect it from the outset. This will help you save time and money in the future. By using templates, you can make sure that data is gathered in a consistent manner by your team. This is important for analysis.
Analyzing Data
After you’ve gathered your data it is time to analyze them for insights and actionability. This process could yield unexpected results that can significantly impact your business. Based on the question addressed, the data may be qualitative or quantitative in the sense that it is.
It’s important to remember that the value of data can’t be realized if the data isn’t reliable. Incorrect or incomplete data could lead to flawed conclusions, which could have grave consequences. This is why focusing on the quality of data is so important.