The success of extracting people-oriented business intelligence depends upon the ability to collect every possible expression and derive the business observations from it. Usually this is done by implementing machine-learning algorithms running on large datasets using Big Data and cloud technologies. However, often the requirements for Big Data analysis are not well understood by the developers and business owners, thus creating an undesirable product. There is a need to develop the expertise and process of creating small-scale prototypes quickly and testing them to demonstrate correctness, to match with business goals.
In his session at the 13th International Cloud Expo®, Shrikant Pattathil, Executive Vice President at Harbinger Systems, will discuss how to practice agile process modeling using non-production rapid prototyping technologies to develop a working lightweight prototype. This prototype can be easily migrated to cloud technologies with larger datasets ready for production.