Data centers are certified in accordance with international standards for control systems in companies that provide services (SOC) for the protection of financial information. The processes of the organization, communication, risk management, monitoring, change management, physical data access, and system operations are tested according to SOC security standards.
Privacy and Personal Data Protection Policy
When a user uses the virtual data room, it processes the user’s data, namely:
- IP addresses;
- settings and settings of Internet browsers (User-agent).
The first principle of protection policy is subject orientation. The data in the data warehouse is organized according to the main activities of the organization. This is the difference between data warehouses and the operational database, in which data is presented in accordance with the processes (shipment, invoicing, etc.) Subject organization of data not only simplifies the analysis but also significantly speeds up analytical calculations. That is, repositories are focused on business concepts, not business – processes.
The second is invariability. The data repositories that characterize each “historical layer” are in no way subject to change. This is also a significant difference between the data stored in the data warehouse and the operational data. Operational data can change very often, with storage data only operations of their initial loading, search and reading are possible.
The third one is integration. The primary data of operational databases are checked, selected in a certain way, reduced to one form, aggregated to the necessary extent (i.e. total indicators are calculated), and loaded into the data warehouse. Such integrated data is much easier to analyze.
Ensuring of Data Protection and Privacy with Virtual Data Room
Despite the fact that horizontal associations, which created the conditions for an oligopolistic market, determined the content of the second wave, its important distinguishing feature was the geographical expansion of the market, as well as the development of decentralized approaches to management.
Despite the fact that the information to the data warehouses is downloaded from the database, this does not lead to data redundancy. Minimization of data redundancy is ensured by the fact that before downloading data to storage, they are filtered and in some way cleaned of data that is not needed and cannot be used in systems.
Data selected from operational databases are accumulated in the data warehouse in the form of “historical layers”, each of which characterizes a certain period of time. This allows you to analyze the change in performance over time. A typical type of corporate control transfer transactions is participation in money auctions and investment tenders, which are essentially little different from each other due to a number of benefits to avoid meeting investment conditions, and participation in voucher privatization subject to a certain amount of voucher checks.
Corporate data warehouses contain information collected from a set of operational databases, which characterizes the entire corporation and is necessary to perform a consolidated analysis of activities as a whole. Such repositories cover all the many activities of the corporation and are used to make both tactical and strategic decisions. Developing an enterprise data warehouse is a very time-consuming process, which can take from one to several years, and the storage volume can reach from 50 GB to several terabytes.