Today, we are all surrounded with full of data.

Data can be in the form of structured data(eg: Tables, worksheets), or unstructured data (free text fields or comments from social media).

An example of Data Usage is in AI model.

Data are the core of an AI model, which utilizes data input for the model to train, test, and learn from the data.

The usage of Machine Learning has allowed computers to perform predictions and provides suggestions to humans based on the data input that has been fed into the machine.

An example of Machine Learning is the Web Search Engine, which tries to understand what is the content we are searching for based on the data input that has been entered into the Search Engine.

Data is everywhere but if we do not transform the data into useful insight, we are not able to make the correct decision on a certain matter.

Imagine if we are recently appointed to be a director of an organization, are we able to:

1. React based on the latest or historical information that is happening around us?

2. Reduce or automate the manual works that have been done in decades?

3. Draw insights from a stack of printed reports?

If you do not have the answer, join this class to know more about Qlik Sense which can help solve your problems.