We are now in the era of big data. It may be negating, but many companies and governments are gaining insights from big data analytics and making better decisions. (I believe so.)
I emphasized probabilistic thinking while talking about my understanding of big data analysis in the preceding article. There is a consensus that big data analytics are not all accurate.
However, given that technical statistical analysis is preceded by prior analysis, the benefits are natural. Big data analysis is a probability.
Many companies that want to introduce big data analytics look for solutions and service providers that meet their own needs and objectives. In fact, ERP is introduced based on needs, but without big data, it is not a big problem.
Thus, the introduction of big data depends on the purpose of the business or government Instead of just introducing systems and solutions, big data governance needs to be separate and independent from IT Garment. In the following article, we will discuss methodology and analysis governance for big data projects.
Steve(JongMyoung) Park, PhD.
PhD. in Business Administration
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