The Four Types of Data Analytics

Data analytics helps professionals make smarter decisions, and it works just like a doctor treating a patient. Let us look at the four different types of Data Analytics from the perspective of how a doctor would treat a patient:

1.Descriptive Analytics looks at what has already happened. For example, when a doctor reviews a patient's medical history, like past illnesses or treatments, they are using descriptive analytics to understand the situation.

2.Diagnostic Analytics digs deeper into why something happened. If the doctor finds that a patient’s blood pressure is high, they might explore the patient’s lifestyle or diet to uncover the cause. This step helps pinpoint the reasons behind the condition.

3.Predictive Analytics focuses on the future. Once the doctor has all the information, they might predict that, without changes, the patient could develop heart disease. Predictive analytics allows them to forecast potential outcomes based on current data.

4.Prescriptive Analytics suggests the best course of action. Here, the doctor creates a treatment plan such as exercise, medication, or diet changes, to help the patient avoid future health problems. This type of analytics tells you what to do next.

In short, these four types of analytics: descriptive, diagnostic, predictive, and prescriptive, work together to turn data into decisions, much like a doctor guiding a patient to better health!