Learning Data-Driven Decisions for Managers in New Style Companies with Professor Dutta from USA Part 3

The development of information technology today is very helpful in the company's business. However, if we do not understand the type of technology needed, we will choose the wrong technology. Especially in the field of decision making for companies, there is one information technology product that is very helpful, namely a decision support system.


STEKOM university's efforts to have a global reach include holding webinars on an international scale. On this occasion we will discuss an international webinar held by STEKOM University in which one of the speakers is a professor from the United States. The resource person is Kaushik Dutta who is a Professor and School Director at the University of South Florida. Professor Dutta in his presentation delivered material on decision support systems which are IT products that are very useful in corporate business.


The material presented by Professor Dutta includes Framework, Applications for Business, Techniques, and Infrastructure. Because the material presented is quite long, the news article that discusses Professor Dutta's presentation is divided into several parts. We are now entering the third part. If the reader wants to know the previous presentation, please see some of the previous sections in the title of the same article.


Next Professor Dutta explained about data analysis in finance. Data analysis in financial management includes:
- Investation decision
- High frequency trading
- High volume microsecond decisions and trades
 - Hedge fund management
- Exclusive complex algorithm for trading
- Investment risk assessment
- Cryptocurrencies
- Bitcoin


Data analysis in finance is increasingly important. Globally, more and more businesses are using data analytics to improve internal operations. They also rely on data analysis to help them understand their customers at a deeper level. It supports organizational leaders to make informed decisions that promote better business outcomes.


Data analysis can benefit organizations across all industries. This is especially true for financial institutions, which often have a sea of ​​raw data to sift through. If used properly, financial data, such as purchasing behavior, along with credit card data, can be very valuable to these companies.


In supporting the right investment decisions, data analysis can be very helpful. An analysis of the value of shares is important to be carried out by an investor, especially with regard to dividends and expected earnings from the company in the future. The amount of dividends and the expected income of a company will depend on the profit prospects of the company. Because the company is very dependent on the overall economic situation, the stock analysis carried out by investors must also take into account several macro variables that affect the company's ability to generate profits.


Investment risk assessment also needs to be considered in making investment decisions.
If you are not sure about the risk in the investment proposal, it may be given for the investment project to have a different level of risk so that it can change the risk of the company as a whole. If this assumption is used, the acceptance of an investment project will be able to change the overall picture of the company so that this will change the required level of profit (required rate of return) provided by the financier. This means that if a company will accept a certain investment project that contains a large risk, the financier will demand a greater imbalance as compensation, namely in the form of the required level of profit or a higher discount rate. These various assessment factors will be better if assisted using various data analysis techniques.


Data analysis in cryptocurrencies is also very important. The increase in the number of investors in investment and trading platforms is due to the rapid development of digital technology. Importance Analyst investing in both Cryptocur stocks and assets is a trend that needs to be resourced. Given the massiveness of investment fraud, the younger generation (millennials and baby boomers) need to understand well the concepts of investment, market analysis, fundamental analysis, technical analysis, money management, portfolio management, market psychology, risk analysis, both on the stock market and Cryptocurrencies. With good data analysis techniques, fatal mistakes in investing using cryptocurrencies can be avoided.


Continued.....