Data warehousing comprises a set of new concepts and tools which support the knowledge management worker with information material for
decision making. Data warehouse purpose is to improve the quality of information in an organization. The key factor is the provision of access
to a company-wide view of data wherever it resides.
Data from internal and external sources, existing in a variety of forms from traditional structural data to unstructured data like text files or
multimedia is cleaned and integrated into a single repository.
Information that drives strategic decision making, empowers you to identify trends and opportunities, and avoid costly inefficiencies. When
translating data into information, you get visibility, control and an unparalleled competitive advantage.
At Mainward we help organizations turn the vast amount of inert data produced by their business into extremely valuable information.
In a data warehousing process, mastering the data preparation phase allows substantial gains in terms of time and performance when performing
multidimensional analysis or using data mining algorithms. A data warehouse can require external data. The web is a prevalent data source in
this context.
At Mainward we custom model processes for integrating diverse and heterogeneous data into a unified format.
Mainward helps organizations achieve an ongoing ROI by implementing data warehouse solutions. The implementation should continue to generate
substantial rewards for the business, either in the form of more efficient business processes or more effective decision making.
