The survey is now able to consolidate feedback from multiple channels including video, audio, and social media content as part of the process, and the amount of raw data able to be incorporated has grown significantly. Obviously larger volumes of data in multiple different forms, requires different data management technologies and processes to be implemented, but this has also significantly increased the overall participation and feedback levels.
Enabling more ways for students to provide feedback through large multimedia files obviously means a 'Big Data' management deployment has been required, but the result has been that more value can be derived from the results and more effective policies implemented for the future.
Another regional example that we have seen, on a slightly different scale, is the Stock Exchange of Thailand (SET), which was the world's fifth best performing stock exchange in 2012.
SET recognised that the larger the volume of electronic trade information they could store, would mean a greater level of granularity could be applied to their reporting, and a wider variety of service applications could be made available to their customers. In their business, the difference between success and failure is the ability to identify trends and patterns, and to predict future activity effectively. That means the deeper the granularity of data they can identify, manage and access, the better business decisions the stock exchange can make.
This is a big data technology implementation in the truest sense, as SET is now able to directly realise relevant business details from previously un-integrated, unstructured datasets. Voice, Video and new media all present new ways for SET to extend their market understanding, while also being able to better track potential rogue traders for compliance and legislative purposes.
I met with Thirapun Sanpakit, Senior Vice President, Group Head, IT Operations at SET at our Simpana Version 10 launch in Bangkok a few weeks ago, and he told me that, "being able to utilise raw data, such as trading transactions and analysis of price feeds, provide insights in terms of investment behaviour and surveillance, which directly supports the Stock Exchange of Thailand's wider business strategy." That is big data delivering business value, and we are seeing numerous other examples on the ground with our other customers in APAC.
Can you give us some sense of that action in the Asia Pacific region? How does the adoption differ from other markets, especially the West?
According to results from a Forrester report released in January 2013, strong activity in big data management adoption has been seen across all verticals in this region, and we have certainly seen this reflected within our customer base.
One vertical that is driving big data management adoption more visibly in APAC than others is Government. The Singapore Government for instance will soon be launching a platform for Data Federation which will look to manage the huge amounts of information generated and stored by government organisations, while providing insight that Ministries can directly use to provide smarter, more efficient and effective services. Some of our other major government customers like the Australian Federal Department of Treasury, are looking to implement similar initiatives to increase efficiency and auditing transparency.
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