Predicting the financial health is one of the primary activities of financial analysts and financial researchers. It is common knowledge that the outcome of any research activity depends on the data set on which the research is performed. Over the years leading KPOs such as S.G Analytics, have emphasized the importance information aggregation. In the financial research, the outcome depends on the details present in the data used and the organization of the data for mining.
Web as the source of data:
Lately the web is being highly relied upon as a source of the data. Regulatory bodies such as the SEC have ensured that this process is simplified by the introduction of the Electronic Data-Gathering, Analysis, and Retrieval (EDGAR) filing system. The EDGAR data is available for search at http://searchwww.sec.gov/EDGARFSClient/jsp/EDGAR_MainAccess.jsp.
Complexity in Mining Raw Data:
Most of the raw data is available in the internet, however past records of many companies are not present. Bloomberg, Reuters, and Associated Press (Google), are some of the key sources of past information however fund managers and financial researchers may require the annual reports of companies.
Role of KPOs:
Mining such data, aggregating it and presenting it for future source is some of the areas where KPOs have lately increasing their presence. The information aggregation services of the KPOs usually includes sourcing, validating, normalizing and presenting the information through a database that meets requirements of the financial analysts.
A critical requirement for information aggregation is the ability to maintain live and large databases at low costs. This art is currently being mastered by the KPOs.
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