Forrester's global analysts have written some great pieces on gamification. In general terms, this research is is just as applicable to the SE Asian markets. However, there are some specific differences within the region that should also be considered. The most important thing to remember is that, while the general principles of gamification definitely hold true within the region, there are still some specific differences that should also be taken into account.
First and foremost, we definitely see the same problems in APAC where a lack of clarity on the desired behaviour encourages game play - for games sake. This is probably the worst outcome of all for gamification initiatives, regardless of where they're deployed. If there's no clear desired behaviour change identified, there's absolutely no valid reason to introduce gamification. The real challenge though is ensuring that the right strategy is selected to achieve the right objectives.
A number of my colleagues and I attended the recent global SAS analyst event to understand the future of SAS’s business and technology strategy. It was clear to me from this event that SAS is attempting to bridge the increasing divide between “traditional” analytics and the big data and cloud-based analytics worlds.
Here’s a few of our key observations and takeaways from the event:
A greater emphasis on visual analytics. The range of tools available and the integration capabilities to enable visual analytics will be significantly improved in future releases.
Better support for governance and audit. One of the benefits that any decision support system should provide is better business governance – the transparency and auditability of how and why decisions were made and what data was used to make them. SAS continues to make good progress here.
A more encompassing view of big data. Most analytic vendors believe either nothing – or everything - has changed in the emerging world of big data. SAS’s view is generally an inclusive one, which will be more beneficial to clients long-term if successfully implemented. The SAS architecture is evolving towards supporting big data economies of scale, in theory at least.
Better integration with all forms of cloud technologies. Still operating largely at the OS virtualisation layer, SAS is nonetheless extending its portfolio to include a range of cloud-enabled architectures. We expect that client demand will drive further development here.
I recently took some holiday leave and saw two small, but clear examples of where mobility changes the economics of IT. The first was in a restaurant where the wait staff used their own smartphones and a simple order taking app. There was no expensive mobile platform for the restaurant to purchase in order to use this system. There was no expensive training program in place to teach the employees how to use the software. They simply bring along their own phone, download a free app to their device and start working.
The software is intuitive enough that any training required is done by their fellow staff members during shifts. What’s interesting about this example is that using mobile devices for taking restaurant orders isn’t new – but using employees own devices is. Previously, the expense incurred by restaurants having to purchase proprietary devices meant that only high margin operations could afford to use mobile order taking systems. And loss, theft or damage of the devices was not only expensive but also proved to be a sticking point for employer/employee relations.
The second example provides a sharp contrast. It involved a trip to a museum and the use of the audio commentary service. Though almost every visitor to the museum now has a smart phone device, an old proprietary hand held device was still in use there. This is an expensive option to operate for a low-margin business like a museum. There are now museums that have recognised this and offer apps on smart phones with capabilities well beyond what the previous dedicated hardware could provide. One such museum is the American Museum of Natural History. It not only uses the rich visual interface of the smart phone, along with the required basic audio commentary services, but it also reportedly helps the user navigate the complex campus using sophisticated wi-fi triangulation.