Business Intelligence in the Cloud
By shupadhy on Aug 21, 2009
We have had interesting discussions with several partners around Business Intelligence in the Cloud. Thought I would capture the use cases, so that you can take these into consideration while formulating your BI Strategy.
1) Most ISVs are looking to build Analytics for their mature SaaS Applications and view this as a key growth area. Covered Xactly in an earlier post. Here is the link to Trading partner Intelligence Service for Suppliers from SPS Commerce.
Few lines from the page are -
"Based on a multi-tenant architecture, our Trading Partner Intelligence service lets customers take advantage of common hardware, software and staffing resources to achieve superior reliability, faster implementations and lower total cost of ownership. Its SaaS architecture also allows multiple parties in the supply chain to access real-time data from any location via a standard web browser"
The dashboard screenshots developed in OBI EE are of course pretty. For the offering to be multitenant, VPD can be implemented in the Datawarehouse env
2) Can we offer Analytics as SaaS for our On Premise Software as customers are not willing to spend on On Premise BI infrastructure? This question is becoming increasingly common. The design considerations for this model are more challenging. Where will the Datawarehouse reside? If the Datawarehouse is at your hosting site, how should the ETL process be designed to overcome the problem of moving large amount of data over limited bandwidth? How can security be ensured? These technical issues can be addressed, if you can make a successful business out of offering BI as SaaS.
3) Can I use public cloud infrastructure for my BI? Some of the reasons why you should use Cloud are discussed in this case study. If the BI service provided is indeed transient e.g. quarter end reports or demos then there might be a valid use case for using Cloud. If you want to use any Oracle BI productsfor such a use case, we can work with you. This is certainly the most challenging scenario particularly if Hybrid (using both your own and cloud infrastructure) strategy is used.