Data analytics has become extremely important in today’s world, helping industries make better decisions and come up with innovative ideas. But did you know that the history of data analytics goes way back in time? In this article, we will explore some interesting facts about the development of data analytics that every student should know. We will learn about how influential people such as Thomas Bayes and Carl Friedrich Gauss laid the foundation in statistics, and how Florence Nightingale made significant contributions to data visualisation. If you are planning to pursue BBA in data analytics or business intelligence degree, you will find this read interesting:

1. Data analytics is rooted in the development of statistics. In the 18th century, scholars such as Thomas Bayes and Carl Friedrich Gauss pioneered statistical concepts and techniques. They introduced probability theory, regression analysis and hypothesis testing, laying the foundation for data analysis methods that are still widely used today. These early contributions paved the way for the systematic exploration and interpretation of data.
2. During the period from 1786 to 1801, an innovator named William Playfair developed various methods for visualising numbers that are still widely utilised today. He introduced groundbreaking techniques such as the line graph, bar chart, pie chart, and circle graph. In the following decades, the popularity of data visualisations continued to rise, partially due to advancements in lithography and mechanical calculation. These developments played a significant role in making data visualisations more accessible and widely used.
3. In the 1820s, Baron Charles Dupin introduced the first modern statistical map. This innovative map utilised shading techniques to depict the variation in educational instruction across different regions of France. It vividly showcased a striking contrast between the northern and southern parts of the country, highlighting the significant differences in educational opportunities. This pioneering work by Baron Charles Dupin marked a milestone in the field of data visualisation, providing valuable insights into geographical disparities in education during that time.
4. Florence Nightingale, renowned as both a nurse and a statistician, made substantial contributions to the field of data visualisation. During the Crimean War, she diligently collected and analysed data on mortality rates among soldiers. To effectively communicate her findings, Nightingale employed innovative visual techniques, including the polar area diagram. In fact, these diagrams are now commonly referred to as the “Nightingale Rose.” Her work demonstrated the profound significance of visualisations in effectively identifying and evaluating data.
5. Back in 1880, before the era of computers, the U.S. Census Bureau faced a daunting task of processing the vast amount of collected information, which took more than seven years to complete a final report. To address this challenge, inventor Herman Hollerith came up with a tabulating machine. This revolutionary machine could systematically process data. Thanks to this innovation, the 1890 census was completed in just 18 months. This tabulating machine paved the way for advancements in data processing technology.
6. During the mid-twentieth century, businesses began implementing the processing prowess of computers to manage their enterprises better. This led to the development of decision support systems and management information systems, which aimed to provide executives with timely and accurate information for making informed business decisions. The advent of relational databases in the 1970s further advanced the field of business intelligence, enabling efficient data storage, retrieval and analysis.
7. The term “big data” gained prominence in the early 21st century, as the exponential growth of digital information presented new challenges and opportunities for data analysis. The proliferation of the internet, social media platforms, and connected devices led to an explosion of data volumes, varieties, and velocities. So, data scientists and analysts came up with new technologies to extract valuable insights by going through this vast sea of information. This, in turn, gave rise to big data analytics, focusing on capturing, storing, and analysing vast datasets to uncover patterns and trends.
8. In recent years, the field of data analytics has undergone a revolutionary transformation with the advent of machine learning and artificial intelligence (AI). Machine learning algorithms have empowered computers to learn from data and make predictions or decisions without the need for explicit programming. This breakthrough has unlocked unprecedented possibilities in various domains, including predictive analytics, natural language processing, and image recognition. By leveraging machine learning, computers can analyse vast amounts of data and extract valuable insights, enabling more accurate predictions and informed decision-making.

From its humble beginnings in statistics to the transformative impact of AI and machine learning, data analytics has become an influential discipline with wide-ranging implications. Exploring the historical context of data analytics, combined with pursuing a BBA in data analytics can offer students a profound understanding of its significance and ignite their curiosity to delve into the field’s vast potential.

Interested in pursuing a BBA in data analytics from the best college?

Explore our B.B.A. (Hons.) Data Analytics & Business intelligence. We have two options – which include 3-year and 4-year programmes. Our programmes help develop well-rounded graduates with a unique blend of skills in business process analysis, technology management, and data science. They equip students with the technical expertise required for various facets of data science, including predictive modelling, GIS mapping, and data visualisation.

Listed below are some of the features of our course:

• Classes conducted by industry experts and experienced full-time faculty members.
• Certifications in Excel, data analytics and Tally
• Our curriculum offers a diverse range of multidisciplinary and value-added courses in liberal education, providing students with a holistic development experience.
• We provide opportunities for students to explore emerging fields, such as Introduction to Data Visualisation.
• To ensure industry relevance and practical exposure, we have incorporated a mandatory summer internship program with our esteemed industry partners.