| SaaS Lifecycle Management, SaaS Development, Cloud Computing, Application Managed Services, Application Lifecycle Management | 6 Mar 2009 |
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| SaaS Lifecycle Management by Jerry Champlin | Comment (0) |
There has been a lot of writing concerning the SaaS Maturity Model devised by a handful of Microsoft engineers and evangelists. This model essentially covers 4 types of SaaS deployment ranging from the ASP model to a dynamically configurable multi-instance multi-tennant model referred to as Level 4 SaaS Maturity. This is a useful discussion, however it does not address how a company can go about getting a SaaS application to market. In this series of posts and associated presentation which I will be giving at the OpSource SaaS Summit 2009, I will discuss this topic with a particular focus on Production Management and enhancing customer adoption through intelligent data mining.
Pain and Prototype
- Identify your customer's most important pain
- Prototype to meet requirements of a few key customers
- Validate USP and expand coverage
Beta Launch
- Production Operations Become Important
- Stress Testing Essential
- Deep application instrumentation necessary
Production Launch / Market Validation
- Scalability and Visibility
- 24x7 Production Operations
- Go to market evolves rapidly
Continuous Business Optimization
- Leverage BI to improve customer conversion
- Deep usage pattern instrumentation
- Use customer behavior proactively

