Challenges for Asia
"Language is a challenge in Asia Pacific," Narayanan said. "It is a balkanised region, with many languages. One of the challenges of developing a good data analytics system for this region is the ability to handle the local languages. For example, people in Singapore use a lot of mother tongue words even in English. How would a system handle it?"
The other challenge is cost of adoption. "Not all organistions have got the size to get into analytics by investing in it," he said. "Tier one retailers or banks can invest in BI but Tier 2 and 3 companies can't; They can't justify the ROI in investing in analytics."
"Responding to the cost challenge, Mahindra Satyam is trying to promote a cloud based consumption model," he said. They have a "pay as you use" model. "Also, what we [Mahindra Satyam] harvest from the Web, we use it for multiple customers. This allows us to pass on the benefit to individual customers."
The other model is result-space pricing--that is price based on business benefits a user is getting.
"Both the models are working well in Asia," he said. "For example, India has a lot of customers who prefer the result-space pricing service. But it is a risk reward model."
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