Ancient Times

In ancient times, people used basic data analysis to manage trade and resources. They counted goods and kept records on clay tablets.

17th-19th Century

In the 17th century, John Graunt laid the groundwork for modern statistics. By the 19th century, pioneers like Florence Nightingale used data to improve public health.

Early 20th Century

The early 20th century saw the rise of mechanical data processing with punch cards and early computers, making data analysis faster and more accurate.

Mid 20th Century

Mid-century brought electronic computers. Companies like IBM developed mainframes that could process vast amounts of data.

Late 20th Century

The late 20th century revolutionized data analytics with personal computers, the internet, and the development of databases, allowing for more complex data analysis.

21st Century

Today, we live in the era of big data and cloud computing. Advanced analytics and machine learning help us make sense of enormous data sets.

From Clay tablets to cloud computing,

Data analytics has transformed how we understand our world. The journey continues as we unlock new insights every day.