Mastering the Game – Big Data and Gamification

Pete Jenkins – November 2017 at Gamification Turkey

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Founder – GAMIFICATION+ LTD

Entrepreneur in Residence at University of Brighton

Chair – International Gamification Confederation (GamFed)

Researcher in Gamification in HR at CROME (Centre for Research on Management & Employment)

Ambassador - Brighton & Hove Chamber of Commerce

Chair - Gamification Europe Conference

BIG DATA: “Information asset characterised by such a High Volume, Velocity and Variety to require specific

Technology and Analytical Methods for its transformation into Value” (Andrea De Mauro, 2016).

Grand View Research, Inc (2016) expects the global Big Data market to be worth how much by 2025?

A. $25.67 billion

B. $123.2 billion

C. $232.7 billion

Grand View Research, Inc (2016) says that the fastest growing software segment for Big Data is?

A. Visualisation

B. Data integration

C. Databases

Gamification is the process of making activities more game-like (Werbach, 2014)

Why Big Data with Gamification?

1. Games to crowdsource big data analysis

• 57,000 players

• 12 year old problem

• Solved in 10 days

Why Big Data with Gamification?

2. Using gamification to generate big data

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Why Big Data with Gamification?

3. Using big data to come up with more engaging activities for players

There are more than 2 billion gamers producing 50TB of data per dayReality Games, 2016

We should highlight tasks and decisions that need to be made and offer them up to our staff in a

prioritised order.

“the application of gamification in web-based systems is to enhance engagement, grant choices, reaffirm progression and provoke social habit” (Linder, 2010)

• Top game players in eSports have been shown to make over 100 decisions a minute during game play!

• The metric is APM (actions per minute) and some games require upwards of 300-400 actions per minute (PRI, 2016)

Games use big data to

facilitate faster and better

decision making

“it is not until you play a game many different ways that you truly learn how to master the game” (Jenkins, 2016)

Data Decision Games Cycle

Analyse Data

Prioritise Decisions

Set Challenges

Take Action

“A gamified system can use automation to motivate users. [In a game] an individual receives motivational inputs by granting technology nonhuman agency and considering it a persuasive social actor” (Fogg, 2002)

Big data helps you play better at the game of work. (Jenkins, 2017)

pete.jenkins@gamificationplus.ukhttps://gamificationplus.uk@gamifiplus @petejenkins