The world has become a global market and political, cultural or financial developments in any part of the world can have a critical impact on your investment …
For example, a small newspaper article about developments in North Korea can impact your investment in the United States. It is noted that there are many factors to consider when investing in Endowment funds and to look beyond traditional historical data.
The endowment insurance industry is complex, and the factors affecting returns can be more personal than you think … For example, the fund manager’s background, risk-bearing disposition, and more can have a significant impact on your earnings. Therefore, it is imperative to gain actionable insights by harnessing the power of data before investing in capital funds.
But here, too, it should be noted that when we talk about actionable insights, we’re not just talking about data collection. Data collection alone does not solve the problem and can only increase confusion. A systematic approach that collects, gathers and manages the maze of data needed to generate specific information, which is then analyzed and translated into clear, actionable insights.
The starting point for this is descriptive analysis that summarizes the data from social media platforms. The following is predictive analysis, using the existing data to predict trends, sentiments, etc. Then comes the prescriptive analysis that a model makes based on the existing data, actions and insights used to achieve the desired result.
Different data touch points of social media platforms are collected and compiled to arrive at the predictive analyzes. One of the most popular predictive analyzes is sentiment analysis … This takes into account preferences, dislikes, disposition, habits and behavior. Here it is the descriptive data such as comments, tweets are analyzed to form an opinion.
Then the KPIs are matched with the prescriptive analyzes … It’s almost like putting the points together … If you want to reach the KPIs, this is the path to follow. So all you do is join the dots, follow the path to achieve your goals.
So to get the best value for your capital, you need a combination of descriptive, prescriptive and predictive analysis that tells you exactly what action to take to achieve the desired results.
In stark contrast to the traditional methods, where you probably only checked the past track record and made future projections based on certain business information and development, in the new era of Big Data Analytics we take note of several other behavioral factors – the human aspects, the views, habits and activities of the fund managers, the global factors likely to influence the investment and growth of the fund, etc., to arrive at a useful insight.
Big data analysis is the way in which the world will make better, informed decisions. It has many promises, especially for risk mitigation.