Studies have shown that business intelligence (BI) initiatives have over a 60% failure rate. This rate of failure is significant not only in terms of dollars spent on procurement of solutions but also on the time and effort spent to design and develop data warehouses and reporting structures, execute end-user training, and maintain an expensive system.

This whitepaper presents an alternative to traditional BI models—BI built on search. Leveraging this model, availability and usability of information without the complexity, time, and systems overhead associated with many traditional BI applications. Companies across the world are now able to align intelligence initiatives with business objectives for a proactive business strategy.

Modern search installations measure data volumes in G, units of 120TB equivalent to the estimated size of the world-wide web, rather than in TB. With no barrier to the amount of data that can be linearly indexed, and made retrievable with 100% sub-sec­ond latency, search has already become the tech­nology of choice in information archival solutions requiring extreme data storage volumes. A business intelligence platform based on search provides users with an integrated architecture for increased ROI and rapid user adoption.

Now, by combining this scaling ability with the charting, analysis and data enrichment found in an Adaptive Information Warehouse, a new set of BI offerings are possible within a single platform: data integration, linguistic data cleansing, business activity monitoring and alerting, and ad-hoc query and report generation.