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Data analytics is the regularly intricate interaction of analyzing huge information to uncover data like secret examples, connections, market patterns and client inclinations – that can help associations settle on educated business choices.
Data analytics is a type of cutting edge analytics, which include complex applications with components like prescient models, measurable calculations and consider the possibility that examination is fueled by examination frameworks.
There are 4 types of data analytics majorly used and they are as follows

1.Descriptive Analytics -It is the basic among the 4 types of data analytics. It is used to understand the overall performance at an aggregate level and is by far the easiest place for a company to start as data tends to be readily available to build applications and reports. It’s very important to build core competencies first in descriptive analytics before attempting to advance upward in the data analytics maturity model. It is the first pillar of analytics, descriptive analytics also tend to be where most organizations stop in the analytics maturity model.

2.Diagnostic Analytics- It, just like descriptive analytics, uses historical data to answer a question. Diagnostic analytics happens to be more accessible and fits a wider gap of use cases than predictive analytics or machine learning.

3.Predictive Analytics- It is a form of advanced analytics that determines what is likely to happen based on previous data using machine learning. Historical data that comprises a bunch of descriptive and diagnostic analytics is used as the basis of building predictive analytics models.
While modeling takes up the main point in predictive analytics, data preparation is a crucial step that needs to happen prior to that. This is why organizations with a solid foundation in descriptive and diagnostic analytics are better and effective at handling predictive analytics.

4.Prescriptive analytics- It is the 4th, and final pillar of modern analytics. Prescriptive analytics becomes true guided analytics where your analytics is prescribing or guiding you towards a specific action to take. It is the combination of descriptive and predictive analytics to drive decision making. It is the last yet one of the most important among the 4 types of data analytics.

These are the 4 types of data analytics and this will give you a better insight about data analytics.