Many organizations today use a plethora of different Business Intelligence (BI) tools and applications to collect information from a variety of sources, analyze it, and share it with users.
However, many of these tools:
(i) are designed for professional analysts and not business users
(ii) are complex to use and have several functional limitations
(iii) are poorly integrated making it complex to share analyses across different tools
(iv) have scalability and manageability limitations that make them expensive to maintain as the amount of data, the number of data sources, the number of active users, and the complexity of the analysis being performed grows.
As a result, executives find that despite their continued investment in BI technology, they still do not have the relevant information they need to make decisions quickly and effectively. In order to enable an insight-driven enterprise, both the role of BI and its technical architecture must evolve.