Big Data. Big Decisions
InformationWeek
Special Coverage Series


Big Data And Gamification: Good Partners?

Gamification offers a practical way to take advantage of big data, Badgeville CEO says.

 Big Data Talent War: 7 Ways To Win
Big Data Talent War: 7 Ways To Win
(click image for larger view and for slideshow)
What do big data and gaming have in common?

At first glance, not a lot. The former is a nebulous term referring to the collection and processing of large volumes of data arriving very quickly from multiple sources. The latter? Well, Call of Duty and Angry Birds come to mind.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

Gamification, however, could change that perception. A tech industry buzzword that's less than two years old, gamification refers to the use of gaming techniques in non-game applications. The Gamification Wiki provides a few examples, such as work training games and simulations that reportedly are more effective than conventional training methods at enabling employees to learn new information.

[ Managing big data projects can be challenging. Here's how to stay in control. Read 7 Master Data Management Project Best Practices. ]

Badgeville is a Silicon Valley startup that sells gamification technology for measuring and influencing user behavior on web and mobile sites. According to company CEO Kris Duggan, gamification will play a vital role in big data's future.

In a phone interview with InformationWeek, Duggan called gamification a "very practical way" to take advantage of big data. But it's much more than that, he believes. "My personal belief is that gamification is the killer app of big data," Duggan said. "A lot of people are talking about big data -- collecting data and profiling users, all these kinds of things. But they don't really know what to do with that data, and they don't know how to make it actionable."

Marketers and business leaders use a mix of data to better understand their customers, employees, and other groups -- and for a variety of reasons. A retailer, for instance, might use customer data to study buying behaviors.

Gamification is well suited for these tasks, Duggan believes, because it makes it easier for a business to segment its audience. "We track all users and what they're doing," he explained. "This allows us to understand what behaviors users are performing, and what motivates their behaviors."

Badgeville's product is a platform-as-a-service. "We don't have an application. There is no Badgeville app, no mobile app, no Badgeville website for users," said Duggan. "We embed our ability to instrument and track behaviors inside any application. We also embed the ability to incentivize those actions, using a variety of different types of techniques."

Badgeville's game mechanics technology, for instance, borrows tools from social games to spur desired user behaviors. It can assign points for specific actions, recognize achievements, create user contests to unlock awards, and provide real-time notifications when users perform a desired activity. "Our company is recording very deep behavioral data on millions of players per month, and we're capturing billions of behaviors and actions on monthly basis," Duggan said.

Badgeville currently has only about 200 customers, but its client roster includes a number of major corporations, including Dell, EMC, Kaiser Permanente, Microsoft, NBC and Oracle. "For example, EMC uses gamification on their 250,000 community members," Duggan said. "They also track behaviors at their conferences, and in other applications they offer to their community members."

Gamification can help the healthcare industry as well, Duggan believes. "We're seeing huge demand in healthcare from people who want to use gamification to drive patient adherence to their prescriptions."

Badgeville is just two years old, and Duggan said one of the company's current challenges is simply explaining to potential customers what the term "gamification" means. "People think it's games, they don't realize it's about behavior and psychology," he said.

Big data will no doubt evolve regardless of whether the business world embraces gamification. But Duggan believes the two technologies go hand in hand. "There have been prior generations of technologies that have talked about analytics, insight and harnessing big data," Duggan said. "I think one big difference with gamification is that it's a closed-loop system, which means we measure behavior, and then we influence it."

InformationWeek is conducting our annual Outlook Survey to explore how IT leaders are planning their priorities and budgets for 2013. The results of the survey will appear in an upcoming issue as well as in an in-depth report. Take our InformationWeek 2013 Outlook Survey now and enter to win one Samsung Series 5 Chromebook. Survey ends Nov. 19.



Related Reading




Currently we allow the following HTML tags in comments:

Single tags

These tags can be used alone and don't need an ending tag.

<br> Defines a single line break

<hr> Defines a horizontal line

Matching tags

These require an ending tag - e.g. <i>italic text</i>

<a> Defines an anchor

<b> Defines bold text

<big> Defines big text

<blockquote> Defines a long quotation

<caption> Defines a table caption

<cite> Defines a citation

<code> Defines computer code text

<em> Defines emphasized text

<fieldset> Defines a border around elements in a form

<h1> This is heading 1

<h2> This is heading 2

<h3> This is heading 3

<h4> This is heading 4

<h5> This is heading 5

<h6> This is heading 6

<i> Defines italic text

<p> Defines a paragraph

<pre> Defines preformatted text

<q> Defines a short quotation

<samp> Defines sample computer code text

<small> Defines small text

<span> Defines a section in a document

<s> Defines strikethrough text

<strike> Defines strikethrough text

<strong> Defines strong text

<sub> Defines subscripted text

<sup> Defines superscripted text

<u> Defines underlined text

BYTE encourages readers to engage in spirited, healthy debate, including taking us to task. However, BYTE moderates all comments posted to our site, and reserves the right to modify or remove any content that it determines to be derogatory, offensive, inflammatory, vulgar, irrelevant/off-topic, racist or obvious marketing/SPAM. BYTE further reserves the right to disable the profile of any commenter participating in said activities.

Disqus Tips To upload an avatar photo, first complete your Disqus profile. | View the list of supported HTML tags you can use to style comments. | Please read our commenting policy.

Follow InformationWeek

By The Numbers

What Are Your Primary Concerns About Using Big Data Software?

Base: 417 respondents at organizations using or planning to deploy data analytics, BI or statistical analysis software
Data: InformationWeek 2013 Analytics, Business Intelligence and Information Management Survey of 541 business technology professionals, October 2012

What Do You Think?

What's your attitude about SQL analysis on top of Hadoop?
We want fast, standard SQL analysis capabilities on Hadoop ASAP
Hadoop is for unstructured data; SQL is for relational databases
We'll give SQL on Hadoop a try, but relational DBs will remain the mainstay
Given strong SQL support on Hadoop, we'd nix the data warehouse
We're not interested in Hadoop
No opinion



Related Content

From Our Sponsor

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Business leaders often need a visual snapshot of data to quickly grasp and use it. This paper identifies five challenges in presenting data and how visual analytics can resolve them. Solutions are suggested to overcome the challenges of: speed, data clarity, data quality, displaying meaningful results, and dealing with outliers.

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Today's competitive advantage requires a deeper understanding of your business, your market and your customers. As an IT executive, you can drive that knowledge transformation. In this white paper, learn how to make decisions as a strategic business leader and three steps to begin an analytics initiative within your enterprise.

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

High-performance data visualization turns sophisticated analyses into meaningful graphics, leading to faster and smarter decision making. In this white paper, learn how visual analytics can transform big data, with additional features such as real-time functionality, mobile compatibility, robust applications for technical groups and accessibility for nontechnical users.

Big Data: Lessons from the Leaders

Big Data: Lessons from the Leaders

Financial performance, competitive advantage, operational efficiency, strategic decision making - every business goal can extract value from big data, and the time for doubt or inaction has long passed. In this Economist Intelligence Unit report, in-depth interviews with data pioneers reveal the link between the effective use of big data and the bottom line among other results.

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Which came first, the data or the decision? This white paper makes the case for having a decision in mind, then tailoring big data's volume, variety and velocity to achieve business results such as overcoming customer dissatisfaction or creating well-informed strategies in real time.

Informationweek Reports

Research: The Big Data Management Challenge

Research: The Big Data Management Challenge

The challenge of big data is real, but most organizations don't differentiate 'big data' from traditional data, and nearly 90% of respondents to our survey use conventional databases as the primary means of handling data. We'll help you understand what constitutes big data (it's not just size) and the numerous management challenges it poses.