Shield and Sword

Big data and privacy protections are like the shield and the sword.

Big data has brought about a number of previous insights across the industry and results in greater efficiency and economy. However, big data in the marketing field is inevitable in conflict with privacy. Countries around the world are strengthening their privacy by protecting their personal information through changes in laws related to personal information security.

Personal information has evolved from the level of information processing and recognition to the level of individual rights (human rights) to the level of the key resources (richness of the information society) that allow companies to generate value added by personal information. In addition, countries such as the EU's General Data Protection Regulations are strengthening their personal information through legislation.

Until now, Big Data has worked hard to spread big data by emphasizing only the technical aspects of the market, centered on IT companies. However, companies that have introduced big data have failed to realize their original function due to real barriers such as privacy. Introducing a big data system does not enhance competitiveness through big data. Performance will not be possible without the need for an expanded staff on top-tier analysis of big data systems. The author has been offered a position in the same telecommunications company for years. Although there is even a guarantee for big data, there is no one to draw a blueprint for the actual analysis and no decision-making system. It's just a situation where you buy a car and leave it in the garage. How about your company? Are you finding insights and competitive advantage in the market with new resources called Big Data? If they are not doing so, they suggest drawing a blueprint for big data again. Academia and industry are studying ways to achieve big data performance while coexisting with privacy protection. I'll use the plan next time.

Steve(JongMyoung) Park, PhD.

PhD. in Business Administration

​#bigdata #analytics #digitaltransformation #datascience #data