Disadvantages of Descriptive Analytics
There are many advantages of Descriptive Analytics however there are some drawbacks as well:
- Although getting inference, we cannot predict the future trends. For this one needs to use predictive analysis.
- Descriptive Analytics can be sensitive to outliers. For instance suppose we have a dataset which has a large number of outliers. Using techniques like Mean can provide inaccurate description.
- Descriptive Analytics provide summary about the past data however in some scenarios the future trend can differ from the past trend. In these cases misinterpretation can happen.
What is Descriptive Analytics and how does it summarize past data in a simple way?
The term Analytics means analyzing the patterns or the trends of the data. Since data comprises patterns it is important to analyze them so that the companies can harness the results to gain profit. The term descriptive means description.
In this article, we will discuss What is Descriptive analytics, the Tools used for Descriptive analytics, how they work and How can it able to benefit other companies.
Table of Content
- What is Descriptive Analytics?
- What tools can be used for Descriptive Analytics?
- How does Descriptive Analytics work?
- Summarizing Past Data using Descriptive Analytics
- Advantages of Descriptive Analytics
- Disadvantages of Descriptive Analytics
- How Can Companies Benefit From Descriptive Analytics?
- Conclusion
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