Why is analytics important?
From the first known population data collection project by the Swedish government in 1749, to Florence Nightingale recording and analyzing mortality data in the 1850s, to British scholar Richard Doll’s tobacco and lung cancer study in the 1950s, the analysis of data has fueled knowledge discovery for hundreds of years.
Each of the above scenarios required an answer to a heretofore unanswerable question. In the 1700s, the Swedes wanted to know the geographical distribution of their population to learn the best way to sustain an appropriate military force. Nightingale wanted to know the role that hygiene and nursing care played in mortality rates. Doll wanted to know if people who smoked were more likely to suffer from lung cancer.
Each of these pioneers knew that instinct wasn’t good enough. Analysis of data can uncover correlations and patterns. There’s less need to rely on guesses or intuition. And it can help answer the following types of questions:
- What happened?
- How or why did it happen?
- What’s happening now?
- What is likely to happen next?
With faster and more powerful computers, opportunity abounds for the use of analytics and big data. Whether it’s determining credit risk, developing new medicines, finding more efficient ways to deliver products and services, preventing fraud, uncovering cyberthreats or retaining the most valuable customers, analytics can help you understand your organization – and the world around it.