Reporting and analysis are integral part of virtually all and every business process, especially those that play a role in decision making, while enterprise data warehousing provides the basis for performing reliable and comprehensive analysis that generates unified reports within an organization where information is collected from different sources. Even small and medium sized enterprises often cannot cope with the vast amounts of information that flow into their corporate databases with corporations collecting data from numerous sources that utilize different data models.
By maintaining a copy of the data in its repository, an enterprise data warehouse is able to deal with issues related to third-party systems’ inability to maintain information history, which is often the case in older source transaction systems across many industries worldwide. Closely related to this functionality is the capability of a data warehouse to provide a single view on all processes and papers circulating across an organization, where multiple source systems are used. Managers of fast growing corporations which aggressively acquire rival enterprises often complain that essential information is coming to their desk fragmented, which has negative impact on the overall process of informed decision making. Enterprise data warehousing easily eliminates that problem, though.
Furthermore, a reliable data warehousing system can deal with bad or damaged data, providing functionality not only to repair bad data but to code information in a consistent manner, thus enabling managers to access a reliable database. Consistency of data is another common problem enterprises face on a regular basis, while data warehousing incorporates methods to overcome such issues relatively effortlessly.
Another great advantage of data warehousing is the ability of enterprise data warehouses not to affect operation systems’ performance through data restructuring which is intended to provide high-performance of queries to the respective database. This is truth even when the data warehouse under testing is experience heavy load of complex analytic queries that can easily disrupt operation of other databases and major operating systems.
One should bear in mind that information collected from various sources in a business management system is usually partitioned, fragmented, and formatted in a variety of ways, which in turn may result in loss of data, incomplete report generation, or even incorrect data. An enterprise data warehouse features functionality to restructure data with decision making in mind, producing results that are easily readable by managers and business analysts. This is of utmost importance in organization where strategic and important business decisions are made on a daily basis, and a wide variety of industries fall into this category, including both enterprises in the field of finances and manufactures.
Therefore, enterprise data warehousing is often applied in customer relationship management (CRM) systems, a valuable business software tool that is widely used by businesses across the world. Large multinational corporations might have CRMs that contain unimaginable number of objects and hardly can be managed without taking advantage of advanced technologies and data processing methods incorporated into data warehouses. In addition, a corporation might have requirements that its data warehouse should be updated in real time, functionality that other database types can have only to a limited extent.
Broadly speaking, the methods and functionality of enterprise data warehousing are successfully implemented in different business processes, including trend analysis, decision support, preparation of financial forecasts, inventory management, etc. As far as business intelligence and financial forecasting is concerned, no expert in the field can perform his/her job without the help data warehouses, while enterprise data warehousing is now used in a wide range of business software systems ranging from applications used by small enterprises to complex solutions implemented by large multinational organizations.
Harry is a 33 year old who has earned his bachelor’s degree in computer sciences a decade ago and since then is blogging on IT related topics for different media outlets. He has developed his IT software consulting skills working for IT consultancies in India and abroad. Harry considers his work as a software consultant as a chance to promote technologies that can change business practices and processes for good, and enterprise data warehousing is one such technology.