I recently took many of the thoughts I had about gamification (that I’ve written about on this blog) and created a white paper:
It is available for download and described my view on some of the core components of gamification as well as describes an effort I coordinated internally.
HP once a year has a global Technical Innovation conference called Tech Con. I was the leader of this effort for the last couple of years and this year I tried to gamify the review process.
Since the only way to get invited to the conference is to create an abstract that describes the innovation and have it peer reviewed and accepted, ensuring that the review process is done effectively is important to the event.
This year we had about 1900 abstracts submitted and each one had to be reviewed by at least four individual. This means that at least 7600 reviews needed to be completed by a group of about 300 reviewers in a relatively short time frame. The paper provides details about the process and the impact of the relatively simple gamification activity. It definitely had a measurable impact and exceeded all the goals identified.
I was talking with an individual just this morning who was asking about innovative uses of mobility. Gamification instantly came to mind. Gamification is about goal oriented, metric driven, behavior modification.
If you can influence the individual wherever they happen to be, aligning their efforts to corporate goals, that seems to be a pretty innovative and valuable use of mobile devices. One important part of gamification can be to influence the decision at the time it is being made. A whole variety of examples fell out of our discussions, since the mobile device is the computer you have with you all the time.
My view is that the entire services industry is ripe for gamification.
This video describes the visual survey platform app that integrates pictures and analytics into a mobile application that can be used by organizations. In the case of video it is Fundación Paraguaya:
This shows a tool to assist in census like activities to determine levels of poverty and then take action to have real impact quickly.
What is exciting for organizations is that the video shows that some very basic tools can have a profound difference when they are taking mobile and used in context.
Tried an experiment this week that may be of interest to some -- although I am not the first I'm sure. When I go to a conference, I usually try and take decent notes about what I heard and more importantly what it made me think.
This week I was at the MIT CIO symposium (#MITCIO) and the MIT Center for Digital Business Research (#MITCDB) research report out. Rather than taking note on paper, I just wrote down all my thoughts on my Twitter account (@CEBESS). Not all that novel, but an active change in behavior for me. Hopefully, my few followers were not too annoyed.
The side effect of this change is I could see the comments by others who used the same hash tag in a chronological context. With only 140 characters, it is easy to lose context about what the post was actually about when you are typing on a phone furiously. But with all the other posts being done by others it’s more useful.
I used my Samsung S2 SkyRocket phone for all the posts at the #MITCIO session and my Slate7 for the #MITCDB event. Both worked well, but on the Slate7 I was able to use TweetChat, so I didn’t ever forget that hashtag, which is all too easy to do when you’re in a hurry.
I was a bit shocked by the number of people I ran into at the #MITCIO event that I already knew. @kimStephenson, @Thedodgeretort, @mkrigsman, @M3Wilkinson and a number of others were there that I have interacted with before.
Recently, I’ve been working with our executive briefing folks and a number of others on megatrends – the industry independent trends that will shape our lives in the future and their effect on business decision making. These will naturally shape how technology is consumed as well.
In the process, a number of meta-drivers fell out that may shape the megatrends. Yes, this is turning into a convoluted network of interactions and that is why some models to assess these interactions are so important. These categories for these meta-drivers seemed to be:
- Engagement – this is what drives social, concepts like flow and maybe even the Internet of Things
- Simplicity – addressing the limitations of our ability to consume
- Efficiency – this embraces the concept of abundance and scarcity
- Flexibility – the need to adjust quickly (probably the sustained driving factor for cloud techniques)
- Security – we all know about this, if you don’t feel safe almost nothing else matters
- Visibility – the need for contextual understanding in order to act (one of the reasons for the current focus on Big Data)
Are these too simple? What have I left out?? It surprised me how old some of the links I identified were to link to this post.
It seems like many of our decisions could use an indicator showing how they increase or decrease these categories. We could use this as part of defining our expectations.
How many times do we make decisions that increase security but radically decrease flexibility or visibility, for example? You hear that discussion about our personal as well as our business lives today.
This week I had the opportunity to attend one of Leon Kappelman’s classes at the University of North Texas to participate in interactions with students about their senior project/presentation. The teams of students were covering a number of topics like BYOD, Cloud adoption, Biometric based security… All topics where I felt fairly comfortable.
One presentation was focused on Data Management in the Age of Big Data and they had one concept well understood that many analysts miss.
The opportunity for better decision making.
The team focused on 5 key issues. The lack of:
- Data Governance
- Data Quality standards and management
- Data Architecture and Security
- Operations support
- Business buy-in
We had quite a discussion about the business buy-in issue, since we needed them to explain why it would get this far without buy-in but they explained that the issue orbited around business culture and the implications advanced analytic techniques would have on the culture.
I was happy to see these students internalized these concepts, and hope the organizations they move into after graduation are ready for their perspective.