Tren Big Data Naik Daun, Pasokan Data Scientist Justru Sedikit

Liputan6.com, Bandung - The big data trend in Indonesia is predicted to increase in the next 2-3 years. Unfortunately, this increasing trend is not matched by the number of data scientists in the country.

When met in Bandung on Wednesday (February 22, 2017), Dimitri Mahayana, Chief of the Sharing Vision Telematics Research Institute, stated that Indonesia is still relatively new to the big data landscape. However, the United States (US), which has already adopted big data, also faces a shortage of data scientists.

"The demand for data scientists is skyrocketing as big data grows. So companies are lacking the right human resources," said the man, who is also a lecturer at ITB's School of Electrical and Informatics Engineering.

According to a 2016 Sharing Vision survey in Indonesia, 74 percent of respondents expressed interest in adopting big data. None doubted its potential success in supporting decision-making.

However, 48 percent of respondents said the main obstacle to big data adoption is human resources (HR). The most needed skill for adoption is big data analytics.

In the US, the McKinsey Global Institute and McKinsey's Business Technology Office predict that the country's data scientist supply will only meet 50-60 percent of demand by 2018. In 2018, the number of data scientists in the US is predicted to reach only 190,000.

The problem, Dimitri continued, is that 12 percent of company leaders don't understand how to analyze big data. Around 10 percent of companies lack data scientists, and 86 percent are looking for the right ones.

In Uncle Sam's country, data scientists are paid US$ 111,000, much higher than data analysts who earn US$ 70,000.

The global big data market is predicted to reach US$70 billion with an average annual growth rate of 17 percent. By 2018, 20 percent of corporate decisions will be made by machines.

One of the drivers of the rapid growth of big data is that one in three company leaders lacks confidence in the information used for decision-making. Furthermore, poor data quality leads to inefficiencies.

"In the US, poor data quality costs US$3.1 million per year," Dimitri concluded.

It should be noted that a data scientist is a person whose job is to develop and plan analytical project requirements to address business needs.

(Msu/Cas)

Source: http://tekno.liputan6.com/read/2867666/tren-big-data-naik-daun-pasokan-data-scientist-justru-kecil