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Big Data Success Factors

최종 수정일: 2022년 2월 27일

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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혁신과 변화, 그리고 리더십은 여러 방면에서 나타납니다. 고객이 가진 가장 복잡한 문제들을 해결하기 위한 AI 기술경영연구소의 능력은 탁월합니다. AI 기술경영연구소가 가진 비즈니스와 기술적 관점으로 최상의 전략과 실행을 제공해, 고객이 시장에서 선두를 유지할 수 있도록 지원합니다.

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