In Collaboration with Mediatrac, SGU Held a General Lecture for IT Students: How Big Data Transforms Business

In Collaboration with Mediatrac, SGU Held a General Lecture for IT Students: How Big Data Transforms Business

On Tuesday, 12 April 2016, the Bachelor of Information Technology (BIT) Study Program of Swiss German University, in cooperation with Mediatrac, held a General Lecture about How Big Data Transforms Business.  This lecture was attended by all IT students from the 2nd, 4th and 8th semesters. The main presenter was Mr. Galih Permadi from Mediatrac. Mediatrac is a big data analytics company focusing on data integration technology.

The objective of this General Lecture was to raise awareness of Big Data Analytics. The BIT Study Program realizes the importance of data and information in the business world. Mr. Galih said that the challenge in big data is data integration because the source of data could come from multiple sources and formats. By using predictive analytics in the big data, we could detect trends, data clusters and some exceptions, which could be used to predict something. For example, stock prices of a company listed on the Indonesia Stock Exchange (IDX) during the last 5-10 years can be used to predict stock prices in the next 5 years. In addition to the price, other data is required to predict the stock price for example economic condition, political events, etc.

pic1

Big Data can also transform a business, such as a retail store or even a banking system. For example, by knowing the behavior of customers in searching goods in an online store, the store could give customers several promotions regarding their behavior. The next technology using big data will be the Internet of Things (IoT). Currently 99% of things in the physical world are not connected to the Internet. Through IoT, we could manage our house through our smartphone, such as turning on/off lamp, AC, open/close the doors, etc.

Through this lecture, the students could understand how Big Data Analytics works and the trends in the future.

pic4

pic2