Analytics module

The history of analytics can be traced back to the XNUMXth century, when early statisticians began developing methods for collecting and analyzing data.

In 1920, analytics pioneer Frederick Winslow Taylor began using statistics to improve manufacturing efficiency.

In the 50s, the advent of computers made it possible to analyze large amounts of data.

In the 60s, the field of business intelligence (BI) began to develop, with the creation of tools and techniques for analyzing business data.

In the 70s, analytics were first used in marketing, with the development of techniques such as direct marketing and behavioral targeting.

In the 80s, analytics became more accessible to small and medium-sized businesses, thanks to the advent of easy-to-use analytics software and services.

In the 90s, the spread of the Internet led to the growing importance of analytics for online businesses.

In the XNUMXst century, analytics has continued to evolve, with the emergence of new technologies and techniques, such as artificial intelligence and machine learning.

Today, analytics are an essential component of any business, both online and offline.

Here are some of the main events that have marked the history of analytics:

• 1837: Charles Babbage publishes “On the Economy of Machinery and Manufactures,” one of the first books on applied statistics.
• 1908: Frederick Winslow Taylor publishes “The Principles of Scientific Management,” a book describing his methods for improving manufacturing efficiency.
• 1954: John Tukey publishes “The Exploratory Approach to Analysis of Data,” a book that introduces the concept of exploratory data analysis.
• 1962: IBM introduces the System/360, the first mainframe computer that allows analysis of large amounts of data.
• 1969: Howard Dresner coins the term “business intelligence.”
• 1974: Peter Drucker publishes “The Effective Executive,” a book that emphasizes the importance of information in decision making.
• 1979: Gary Loveman publishes “Market Share Leadership: The Free Cash Flow Model,” a book that introduces the concept of market value analysis.
• 1982: SAS introduces SAS Enterprise Guide, one of the first easy-to-use analytics software.
• 1995: Google launches Google Analytics, one of the most popular analytics tools in the world.
• 2009: McKinsey releases “Big Data: The Next Frontier for Innovation, Competition, and Productivity,” a report highlighting the importance of big data for businesses.
• 2012: IBM introduces Watson, an artificial intelligence system that can be used for data analysis.
• 2015: Google launches Google Analytics 360, an advanced analytics platform that uses artificial intelligence and machine learning.

Analytics is an ever-evolving field, with new technologies and techniques being developed constantly. This makes analytics an increasingly powerful and sophisticated process.