Custom Databases For Financial Analysis

Financial Analysis and Research relies heavily on the data mined from the various online and offline sources. Mining this offline data is many a times a herculean task as it involves not only parsing the annual reports but other records that are publicly available at various government institutions. Once this data is obtained, it needs to stored in a structured format. This article gives a nice overview on the importance of sourcing the data for such custom databases.



Custom Databases:

Many financial researchers require the databases stored in the format they have tried and tested over the years, but due to the lack of time have decided to outsource this activity to KPOs. Designing the schema to ensure that the requirements are met is a cumbersome activity. Further, this task becomes non trivial as the Atomicity, Consistency, Integrity and Durability of the database needs to be ensured. Many database engines ensure the above criteria are met however, the processes feeding this data must also ensure that none of the above criteria are violated. This is extremely critical when operating with the offline data which is entered manually.

Presenting the Data:

Storing the data in a structured format is just the tip of the iceberg, as the UI that allows users to access the data needs to be designed. KPOs that operate in the area of financial research and analysis have lately mastered the art of not only mining the data and storing them in structured and custom databases but also in providing some neat user interfaces to easily access this data. This activity has been many a times won accolades from banks and fund managers for being a time saver.