Therefore, enterprise data warehousing is now defined not only as a method and technology to store, retrieve, and process data but in a broader context of various analytical and business intelligence tools that often provide integrated business software solutions applied across a variety of industries. Actually, any enterprise, even the most non-sophisticated business, will be forced to implement a sort of data warehousing solution once it grows into a fully operational business where information flows should be managed and analyzed fast and where managers would require reliable reporting tools to assist them in taking day-to-day business decisions.
Business professionals rely on different business software solutions designed to provide functionality covering any aspect of those business processes and procedures that are applicable within a particular industry, while those very solutions have to deal with amounts of data unimaginable only a few decades ago. The global business framework has changed dramatically, though, thus resulting in growing need for a technology that can cope with increasing data flows and ability to process data in a way that produces easily readable reports in all and every field of business. Enterprise data warehousing provided the solution that allows software engineers to design business software applications which are able to store, transform, catalog, and integrate data from different sources, therefore allowing a central view across an organization. Most modern-day business software tools are built on top of data warehousing technologies used to restructure data in a sensible way.
Since the early years of business software development both enterprises and software vendors and developers have put significant efforts into design and development of solutions capable to assist owners and business executive in taking business-critical decisions based on in-depth analysis of data gathered from as many sources as possible. This in turn requires a reliable technology to deal with complex data which may originate from quite different sources in terms of data formatting and cataloging. As far as enterprise data warehousing is concerned, it makes it easier to deal with such data, enabling software developers to easily implement the interface layer which represents data-backed business reports to business customers.
At present, different types of data warehouses are used in business across the world, including offline operational databases, online integrated data warehouses, and integrated data warehouses, all of them featuring the same core capability to store and process data which is used in generating business reports. Decision support and trend analysis are only the most visible business processes where enterprise data warehousing is widely used, but the technology is applied in practically every business field, from financial forecasting to logistics management to agriculture.
Business management has always been about making the right decisions on time, while today's entrepreneurs and managers have to deal with so many sources of information and take into account data flowing in real time that rarely an informed decision can be made without assistance provided by business software tools. That said, enterprise data warehousing is technology that is primarily about taking informed business decisions in a business environment where every bit of information matters.
Richard M. has been involved in software development of http://www.triumphsys.com/ for nearly a decade before he realized that the very technology used to design and manage business databases should be explained to a broader audience. He is now writing on the subjects for a few reputable media outlets and guest blogs when he has the opportunity to get in touch in readers that are interested in enterprise data warehousing.
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