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Data warehousing is a mature information infrastructure
Data warehousing has matured to the point where it has become required as a necessary part of business information infrastructure. No longer are data warehouses regarded as a new and untried concept. In recent years we have seen developments in technologies, methodologies, architectures, approaches and ways of using the data warehouse. But this does not…
Few companies embrace business intelligence
Maja Ferle, business intelligence consultant at SRC.SI, says that the anticipated entry of foreign competition after Slovenia joined the European Union that would spur the need for business intelligence hasn’t happened. “Companies still don’t believe that they could gain a competitive advantage by using business intelligence solutions and thus be a step ahead in the…
Heaps of data
A hot topic related to data management is the ability to deal with huge volumes of data. We are talking about such huge volumes of data that we can barely manage them with current technologies in reasonable response times. New technologies that have become available are more suited for working with such huge amounts of…
Loading the data warehouse in real time
Data warehouses are the source for consolidated reporting from various data sources. Due to increasing demands for fast results, data warehouses are required to provide data in real time. The largest and technologically most challenging component of data warehouse implementation is loading the data through the ETL (Extract-Transform-Load) process. The article presents a case study…
Multidimensional data modeling
Multidimensional data modeling is useful in business intelligence solutions, data analysis and data warehousing. Business users who are not IT specialists find that data structured in a dimensional model is easier to use. Typical multidimensional data models have a star or a snowflake schema. Read the article… — Paper presented at Dnevi slovenske informatike 2001, Portorož,…
Visualization: a different view of data
Humans often understand data better if we see it in a graphical format rather than just looking at numbers in a spreadsheet. Data visualization technologies enable us to transform data into visual building blocks that enable us to easily spot trends, discover connections among data elements, present interesting discoveries to others or to detect trends….
