Now it may happen the same but who wants to use Artificial Intelligence will be a step ahead.
Everything starts with a theory reveled for the first time by research and consulting firm Gartner:
- What is happening in my business?
- Why is it happening?
- What is likely to happen in the future based on previous trends and patterns?
- Decision time.
Let's take one by one.
1. What is happening in my business?
This is the first step in data analysis to gain a better understanding of the data and inform subsequent analyses and decisions. and it is about exploration and understanding of historical data.
It involves analyzing and summarizing past data to gain insights and understand patterns, trends, and relationships that can inform decision-making.
The output is a comprehensive view of the data using techniques: data visualization, data aggregation, and statistical analysis and the main goal is to summarize and describe the characteristics of the data, including measures of central tendency, variability, and frequency distributions.
Example: creating charts and graphs to display data trends, calculating summary statistics such as mean and standard deviation, and identifying patterns and outliers in the data.
Technical term: Descriptive analytics.
Tools: Azure Synapse Analytics, Data lakes, Data warehouse
2. Why is it happening?
3. What is likely to happen in the future based on previous trends and patterns?
4. Decision time.