On-the-Go Big Data Requires a Different Approach: Four Guidelines
The mobile revolution
May. 28, 2013 07:45 AM
By the end of 2013, 1.4 billion smartphones will be in use by consumers from around the world. Around 2015, Gartner predicts that more tablets will be sold than PCs worldwide and in 2017 1.75 tablets will be sold for every PC. The growth of smartphones is not only in the Western world. Seventy-five percent of all new smartphones will be sold in Africa and Asia. The mobile era is upon us and this will require a different approach by organizations. What is the effect on Big Data and how can on-the-go Big Data add value to your organization?
Mobile devices, meaning tablets, smartphones, smart watches and smart glasses, seem to have different guidelines than desktop computers. Although it is difficult to predict the behavior on smart watches and smart glasses, the behavior on tablets and smartphones is a good example.
The Mobile Revolution
Luckily telecom networks are improving and 4G is well underway in quite a few countries. It does take quite some time though before it is up-to-speed like 3G is at this moment. 5G is also coming and European Commissioner Neelie Kroes recently made € 50 million available to make Europe ready for the 5G era in 2020. However, as long as 4G is still relatively expensive and 5G is still far away, consumers will have to do with the slower 3G. It is clear, however, that data consumption will grow on mobile devices in the coming years. Ericson predicts that the average monthly data usages for smartphones will grow to 1.9 GB in 2018 compared to 450 mb in 2012. Tablets will grow to 2.7 GB compared to 600mb in 2012.
What Is On-the-Go Big Data?
Challenges of On-the-Go Big Data
Several organizations such as Microsoft or IBM are reaching out to help by developing company platforms that can be used by the employees to securely download the necessary apps as well as secure the data that is transmitted. Organizations who want to make company results from Big Data analyses available on mobile devices of employees will have to ensure a high security level. In order to achieve that, organizations better start working as there is a lot to do. They should:
Second, the screen sizes are a lot smaller. It might be a retina display or full HD display, but it still is and will always remain a small screen (apart from a tablet of course) - a small screen that is used on-the-go and in public areas. When the intelligent watches are coming (with a screen size of 128 x 128 pixels) or a Google Glass (with an expected display resolution of 640x360 pixels), this challenge becomes even bigger. This is of course not a problem, it only requires a different approach though.
Third, mobile devices do have keyboards (except again the smart watches or Google Glass), but typing on them is a hassle for a lot of people. Entering a query in a mobile Big Data dashboard thus becomes difficult and will take a lot of time. In addition, it is also prone to errors, resulting in unnecessary queries and data transmission.
The Advantages of Mobile Big Data
First of all, the availability of a large amount of sensors gives a lot of opportunities. There are numerous sensors in an iPhone and this will only increase in the coming years:
These sensors can help to increase the effectiveness of the visualizations shown on mobile devices. It can provide effects and tools not available on desktop computers and therefore increase insights into the Big Data. When developing a Big Data startup or a Big Data strategy, it is therefore wise to take on-the-go Big Data into account and make the most of the sensors present in mobile devices.
Second, mobile devices simply make it possible to have access to all your data at any time and anywhere. This will increase employee productivity, because a warehouse employee for example has all necessary data on his or her tablet instead of having to walk back and forth to a desktop computer with that information. Also in the health industry it can provide a lot of value. A doctor that has all available data about a patient while standing at the bed of the patient can save extremely valuable time and even save lives. It can ensure that all doctors have the same, correct, information available on their mobile devices at all time, anywhere.
A third advantage of on-the-go Big Data is the availability of push messages that allow real-time data analysis to have the most effect. Whenever an event is triggered by data analysis it can be pushed to the users via the mobile devices. This can result in immediate action, while desktop computers require the users to be behind a desk. If the mobile device also allows the user to respond immediately, the efficiency as well perhaps customer satisfaction will increase.
Four Guidelines Organization Should Take into Account When Using On-the-Go Big Data?
1) Use simple but smart visualizations
2) Enable voice recognition
3) Ensure fast loading of visualizations
4) Secure your data transmission
The Future of On-the-Go Big Data
This story was originally posted on BigData-Startups.com.
Reader Feedback: Page 1 of 1
Latest Cloud Developer Stories
Subscribe to the World's Most Powerful Newsletters
Subscribe to Our Rss Feeds & Get Your SYS-CON News Live!
SYS-CON Featured Whitepapers
Most Read This Week