This year is really frustrating for Business intelligence. After five years as the top CIO technology priority now BI initiative is placed BI as fifth among their top 10 technologies. BI will stay alive, but something has to be changed. This article considers BI architecture in the near future as a response to Bi trends.

A columnar DBMS stores its content by column rather that by row. This approach has significant advantages for databases such as data warehouse that’s required a computation of aggregations over large number of similar data items. Let’s see more details about usage of columnar databases in data warehouse implementations

More than 85 percent of all business information exists as unstructured data – commonly appearing in e-mails, memos, news, user groups, chats, reports, letters, surveys, white papers, marketing material, research, presentations and Web pages. Can you imagine any important decision that has been made leveraging on 15 percent of the real information potential?

A Data warehouse model is quite comprehensive and complex data structure. Ability of fulfilling business information requests leverages on the quality of the data warehouse model. In spite of decision whether you build or buy the model, it is crucial to understand how model is structured inside. So, let’s look the data warehouse model inside…

Performance dashboards are rapidly becoming the preferred way that business professionals view and analyze information about performance of their business and activities they measure. Let’s find out how to create effective and attractive performance dashboards for your business professionals.

Over time data warehouses becomes large, and relationships between data sets inside sometimes is not easy to discover. With classic data management techniques this relationships cold stay hidden for data consumers. The solution is to apply new data management technique that can “mine” these relationships – Data Mining.