Presented by Daniel Toriola
Data Recovery has become essential activity for the people in the computer world. The valuable data can get
corrupt or lost at any point of time or the partitions might become inaccessible. Data Recovery software help
retrieving all lost files
Click here to know more
Have You Registered {firstname,lastname}.com Yet? Register Your Domain For $7.99 Only! Web Hosting and
Site Builder Plans also Available.
Click here to know more
Challenges of successfully deploying business intelligence and data warehousing
By Arun Gupta
Business intelligence and data warehousing are commonly associated terms. In fact, many of the
tool vendors position their products as business intelligence software rather than data warehousing
software. There are other occasions where the two terms are used interchangeably. So, what exactly is
business intelligence?
Business intelligence refers to the information that is available for the enterprise to make decisions on.
A data warehousing (or data mart) system is the backend, or the infrastructural component for
achieving business intelligence. It also includes the insight gained from conducting data mining
analysis, as well as unstructured data (thus the need for content management systems).
The concept of business intelligence has existed since ages for achieving long-term organizational
goals by looking at trends and patterns, multi-dimensional analysis and so forth. The data typically
exists anywhere from a day to a week, to a month, to even a year or more. What has essentially
changed is the focus to get it closer to real time. That’s what is referred to as operational business
intelligence. It is more about managing daily operations. Initially strategic business intelligence meant
building our own little worlds. Data was extracted out of the operational systems and data warehouses
and data marts were built in accordance, completely disconnected from the operational environment on
purpose. This really helped create strategic decision-making environments, wit