Data Kills Death


It’s funny, we are all affected by the same fatal inevitable circumstance; Death! Times have changed and we take different precautions in order to live longer such as exercising, reducing cholesterol intake; some even go as far as becoming vegetarians. All these precautions were discovered after certain set of people probably died from reasons that these precautions can help avert. The records of affected people (Data) have helped physicians to inform the public about precautions to help them live longer.



The figure above shows the graph of an organizational life span. It’s been discovered that the average life-expectancy of a multinational corporation-fortune 500 or equivalent is between 40 and 50 years. One third of the companies listed in the 1970 fortune 500, for instance, had varnished by 1983 – acquired, merged, or broken to pieces. Unlike human beings that have learned to survive, on average, for 75 years or more, very few companies are that old and flourishing.

Why then, do so many companies die prematurely?
There are many speculations about the reason, and this area undoubtedly needs much more research. Companies  mostly die because their managers focus on the economic activity of producing goals and services, and not taking note of the relevance of the data of the goods they produce, not taking into cognizance the trends at which the goods and services are moving.
       
Many managers consider the ability to return investments to shareholders as a sign of longevity of an organization, whereas the profitability of a company is only a symptom of corporate health, meanwhile others seem to believe that the longevity of a company has to do with its material asset. But the longevity of a company is largely dependent on its sensitivity to its environment.
       
Charles Darwin said
              “It is not the strongest or the most intelligent who will survive but those who can best manage change”.

How can a company, who doesn't capture and analyze its data, make accurate predictive decisions based on the analysis done on the data and finally relate the statistical information with its environment, be defined as being sensitive?
It is high time managers began to embrace the use of data analysis and business intelligence methods and tools towards making its organization more sensitive. There are a number of data discovery tools which can transform your organization.

In conclusion, many of the organizations which have seemed to kill death for over a decade and some even centuries like Microsoft, IBM, Coca-Cola, e.t.c wouldn't have been able to do so without using their greatest weapon which is the analysis of data.


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