Big Data Success Story: At SXSW (South by Southwest Music Festival)

Posted in Databases


As music festivals go, this one is a juggernaut. Crowds roll onto the entry gates in towering waves, presenting ticket booths with a challenging task. At the most recent instance, ticketing began to take too long. People in the queues became first restless, then frustrated, then angry. Fortunately, big data analytics prevented a disaster. Here’s how.

First of all, the organizers planned for months in advance about how to deal with that exact situation. They set up a command center for managing all digital communications, including sending instructions to their staff on the ground. 

Secondly, they used specialized data analysis tools to monitor attendees’ tweets in real time for certain keywords. Why? So that they could see adverse crowd behavior trends developing and nip them in the bud. Sample keywords were “crowd” and “police”.

Sure enough, and using this tweet analysis, they sensed the crowd’s mood changing to a near-riot-like attitude. They quickly organized an additional event at a different, nearby venue, and sent out extra volunteers and security staff to send part of the crowd there. The situation was thus beautifully managed, resulting in a total of 72,000 attendees having a whale of a time!

To know more about the data analysis tools they used, message us here, we’ll get back to you pronto. Or message us to discuss whether there are potential advantages hidden in your own data. Or just message us about anything!

To your success with data,


Big Data Success Story: Olympic Women’s Cycling Team

Posted in Databases


Doping has been a major problem in sports for quite a while. Now big data enables athletes to enhance their performance without drugs and without ruining their health. Oh yes, and without being banned for life from their sport!

The method involves the use of inexpensive sensors fixed onto the athletes and coupled with their cellphones. The cellphones transmit the acquired data to a remote computer for further analysis. But let’s get a little more specific…

Flashback to the London Olympics, 2012. The US Women’s Cycling Team was in a unenviable position: their timing was 5 seconds below the minimum required to even qualify! Bummer.

They fixed sensors onto each bike and started collecting data to find patterns in it, hoping that these patterns would tell them how they could improve to make the grade. Unfortunately (and typically) there was so much data that even looking at it wanted to make them quickly shut their computers and go lie down.

Someone then told them that patterns would be easy to recognize if they visualized the data using pie charts and other graphic representations of the data. They got hold of a good visualization program and immediately saw meaningful patterns in the data… it was obvious from those patterns if they made certain changes to their routines, behavior and lifestyles, there would be significant improvements in their cycling performance.

They implemented the changes suggested by the data visualization and bang, they won a silver at the Olympics!

Come back for more Big Data success stories and get in touch with us here if you want us to help you with your own!

To your success with data,


Call Of Duty: Advanced Warfare Review: Kevin Spacey Attempts A Resurrection

Posted in animation, CAD

This from

Players are outfitted with exoskeletons that allow them to do superhuman things, like leap 20 feet in the air, rip a car door off its hinges and use it as a shield, or slow down time.

From the technology point of view, Kevin appears filmed as a real actor, when in reality his image and movements are all computer-generated using sophisticated motion-capture techniques.

TMG is in the process of building the largest motion-capture studio in Asia to lower the costs of motion capture. Stay tuned for progress reports!




Top Six Worst Practices in Business Intelligence

Posted in big data, Databases

There’s a very nice report published by TDWI mentioning these practices. Their identity is in the table of contents, which is:

1 Introduction
2 Worst Practice 1: Buying What Analysts Want Without Considering Other Users
4 Worst Practice 2: Buying New Data Discovery Tools Without Changing the Excel Mindset
6 Worst Practice 3: Making a BI Purchasing Decision Based on One Hot Feature
8 Worst Practice 4: Lack of a Concrete Data Quality Strategy
10 Worst Practice 5: Not Considering Mobile Users in Your BI Strategy
12 Worst Practice 6: Ignoring New Data, New Sources, and New Compliance Requirements
14 Conclusion

To get this jargon-free, 17-page report, go here.

Want to discover actionable insights from your data? Go to our Business Intelligence page and message us from there, NOW!



Big Data: Sensors in Planes and Cars Improve Your Life

Posted in big data, Databases

Sensors in Cars

From Smart Data Collective:

General Motors uses Onstar, which is a subsidiary of General Motors. Onstar Corporation provides subscription-based in-vehicle security, communication and remote diagnostics. These real-time diagnostics can check the health of the most important systems within cars, even while driving. This data is send back to the carmakers, which uses the data also to improve their cars. There are a lot more advantages of telematics and for those interested there is an interesting report about it here.

Sensors in Planes:

Also from Smart Data Collective:

Sensors embedded in GE’s power turbines, jet engines and hospital scanners will collect the data – it’s estimated that one typical gas turbine will generate 500Gb of data every day. And if that data can be used to improve efficiency by just 1% across five of their key sectors that they sell to, those sectors stand to make combined savings of $300 billion.

In aviation, GE is aiming to improve fuel economy, maintenance costs, reduction in delays and cancellations and optimise flight scheduling – while also improving safety.

Abu Dhabi-based Etihad Airways was the first to deploy GE’s Taleris Intelligent Operations technology, developed in partnership with Accenture.

Huge amounts of data are recorded from every aircraft and every aspect of ground operations, which is reported in real-time and targeted specifically to recovering from disruption, and returning to regular schedule.

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