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Data science continues to evolve as one of most promising and in-demand career path for skill professionals. Today, successful data professionals understand that the advance past traditional skill of analyzing large amounts of data, data mining, and programming skills. To uncover practical intelligence for their organization, data scientist must master full spectrum of the data science life cycle level of flexibility and understanding to maximize returns at each process phase.

Why is Data Science Important?

Big Data may have the potential to change the world for the better. Still, data science is essential because, according to training provider Simply Learn, because “without the expertise of professional who turn cutting-edge technology into actionable insight, Big Data is nothing.”

“Why Data Science Matter And How It Power Business Value,” the company detail eight way data scientists add value to business.

  • Empowering management to make better decision
  • Directing action and defining goals base on trends
  • Challenging staff to adopt best practice and focus on issue that matter
  • Identifying business opportunity
  • Decision-making with quantifiable, data-driven evidence
  • Testing these decision
  • Identifying and refining of target audience
  • Recruiting the right talent
  • Data science has potential to help early all organization, according to Damien Deighan, CEO of Data Science Talent.

The ability to uncover hidden pattern, and unknown correlation and build models that can make accurate predictions, data science used to help you make better business decisions for your organization,” say Deighan. “You now analyze almost anything and everything about organization. Anything that logged via computer or network use can be analyzed and organized and turn into actionable insight. When apply and use correctly, data analytics can play pivotal role in driving profitability and productivity.”

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