With the close of 2019, we generated over 40 Zetabytes of data (source) . All of this information was captured, stored and processed for making decisions, complex & simple.
With the close of 2019, we generated over 40 Zetabytes of data (source) . All of this information was captured, stored and processed for making decisions, complex & simple. Your own product, for example, may be generating millions of rows of data, monthly on Google Analytics alone. As a data oriented product manager, you have to be aware of data sources that can impact your decisions, or provide valuable foresight. And data exists everywhere — in this connected age, every single digital touch-point generates data.
Taking a step back, it helps to organize data sources within your organization. Remember, each data source throws a signal & lots of noise. You should be good enough to differentiate the signal from the noise. Moreover, it is essential to analyze dependance and correlation between these data sources to take better decisions.
The primary sources of data can be classified in three main scopes:
Here is a brief table that describes each type and their sources & usages:
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