|By Mark van Rijmenam||
|May 28, 2013 07:45 AM EDT||
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
Mobile devices are becoming faster every day and with that consumers are becoming less tolerant to wait times on mobile devices. Nowadays consumers expect an answer on a mobile device in just three seconds. They can wait up to five seconds, but after that 74% abandon the website. Even more challenging is that 71% of mobile browsers expect web pages to load almost as quickly or faster as web pages on their desktop computers. This is regardless whether the user is on 3G or on Wi-Fi.
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?
What is on-the-go Big Data exactly? Basically it means making the results of Big Data analysis available on mobile devices. Of course, any proper analysis or number crunching cannot be done on mobile devices, thus it is merely about giving consumers and organizations access on a mobile device to (visualized) results of analysis done somewhere else. This sounds simple, but it implies a lot of challenges.
Challenges of On-the-Go Big Data
First of all, the upcoming trend of Bring Your Own Devices is a challenge for IT departments in organizations. Especially in the BRIC countries, BYOD makes a significant uprise, with about 75% of employees in Brazil and Russia taking their own devices to work. IT departments are getting tired of supporting devices that they cannot manage or control. However, because it decreases costs for organizations and increases conveniences for employees, it is a trend that is hard to stop.
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:
- Assess the employees who have access on a personal mobile device to the data
- Document which data can be viewed via 3G/4G and which data can be viewed via secured Wi-Fi
- Train the employees in dealing with the data on their mobile devices and how to keep it secure
- Create, document and communicate policies around how to use Bring Your Own Devices
- Prepare your IT department for a plethora of questions related to all kinds of devices
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
Well, with quite a few challenges, what are the advantages of on-the-go Big Data that validates spending time and money to overcome these challenges?
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:
- The proximity sensor: Determines how close an iPhone is to your face
- The motion sensor / accelerometer: Enables the iPhone to automatically switch between landscape and portrait
- Ambient light sensor: Determines the amount of available light in a space;
- Moisture sensor: Detects whether an iPhone has been submerged in water
- A three-axis gyroscope: Enhances the perception how the iPhone is moved
- A magnetometer: Measures the strength and/or direction of the magnetic field in the vicinity of the device
- GPS sensor: Determines the location of the iPhone
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?
In order to be successful with on-the-go Big Data, organizations should take into account four guidelines. These guidelines will help organizations make the most of their mobile Big Data strategy:
1) Use simple but smart visualizations
Although the smaller screens of mobile devices require a different approach, the large number of sensors in mobile devices allows smart visualizations. Organizations should remember that on a small screen only the most vital information should be shown, as too much information will confuse the user. Especially on tiny screens like the watch or the glasses this is even more important. Give the user the vital information first, but also give the opportunity to dive deeper if wanted. Remember to limit the steps needed by the user to find more information; a small screen is not suitable for a lot of different steps.
2) Enable voice recognition
The mobile Big Data dashboard should recognize voice input. Google Glasses as well as smart watches do not even have a keyboard anymore and focus almost solely on voice recognition. Even smartphones and tablets are not suitable for entering a (large) query with a keyboard, as that is generally a hassle. If possible integrate the mobile Big Data dashboard with existing programs such as Apple's Siri. Users are familiar with Siri and it already consists of sophisticated voice recognition software.
3) Ensure fast loading of visualizations
Users expect a mobile device to work lightning fast. Complex data analyses are done in the cloud and the results are returned to the mobile device. Take this into account when giving the user the ability to view Big Data visualizations on their mobile device while on 3G network. Data intensive tasks could drain a monthly data subscription plan easily, while the user becomes frustrated. Focus on the most important analyses that a user needs to be able to perform while on 3G and allow the rest of the analyses and visualizations to work only on Wi-Fi.
4) Secure your data transmission
Only 4% of the smartphones are protected with security software. On-the-go Big Data will require giving mobile devices access to (sensitive) data results. Determine which data is sensitive and ensure that this data can only be transmitted when the user has a secure and acknowledged Wi-Fi connection. Especially in health organizations sensitive data should not be used on public Wi-Fi or 3G/4G networks. The data that is only available via WIFI should also be available offline, so that if needed an employee can continue to work even when there is no Wi-Fi or 3G/4G connection.
The Future of On-the-Go Big Data
The future of mobile Big Data is difficult to see as we are at the brink of a mobile revolution. According to Nathaniel Mott, the future of computing will be a question of head vs wrist instead of desktop vs mobile. The coming years we will probably be flooded with new mobile devices currently unknown and all of them will require a different approach of on-the-go Big Data. So the challenge ahead for organizations is to accept this and adapt on time to meet the needs of the mobile future.
This story was originally posted on BigData-Startups.com.
20th Cloud Expo, taking place June 6-8, 2017, at the Javits Center in New York City, NY, will feature technical sessions from a rock star conference faculty and the leading industry players in the world. Cloud computing is now being embraced by a majority of enterprises of all sizes. Yesterday's debate about public vs. private has transformed into the reality of hybrid cloud: a recent survey shows that 74% of enterprises have a hybrid cloud strategy.
Dec. 10, 2016 11:30 AM EST Reads: 2,019
The many IoT deployments around the world are busy integrating smart devices and sensors into their enterprise IT infrastructures. Yet all of this technology – and there are an amazing number of choices – is of no use without the software to gather, communicate, and analyze the new data flows. Without software, there is no IT. In this power panel at @ThingsExpo, moderated by Conference Chair Roger Strukhoff, Dave McCarthy, Director of Products at Bsquare Corporation; Alan Williamson, Principal...
Dec. 10, 2016 11:00 AM EST Reads: 689
In his session at Cloud Expo, Robert Cohen, an economist and senior fellow at the Economic Strategy Institute, provideed economic scenarios that describe how the rapid adoption of software-defined everything including cloud services, SDDC and open networking will change GDP, industry growth, productivity and jobs. This session also included a drill down for several industries such as finance, social media, cloud service providers and pharmaceuticals.
Dec. 10, 2016 11:00 AM EST Reads: 657
Extracting business value from Internet of Things (IoT) data doesn’t happen overnight. There are several requirements that must be satisfied, including IoT device enablement, data analysis, real-time detection of complex events and automated orchestration of actions. Unfortunately, too many companies fall short in achieving their business goals by implementing incomplete solutions or not focusing on tangible use cases. In his general session at @ThingsExpo, Dave McCarthy, Director of Products...
Dec. 10, 2016 11:00 AM EST Reads: 1,006
Infrastructure is widely available, but who’s managing inbound/outbound traffic? Data is created, stored, and managed online – who is protecting it and how? In his session at 19th Cloud Expo, Jaeson Yoo, SVP of Business Development at Penta Security Systems Inc., discussed how to keep any and all infrastructure clean, safe, and efficient by monitoring and filtering all malicious HTTP/HTTPS traffic at the OSI Layer 7. Stop attacks and web intruders before they can enter your network.
Dec. 10, 2016 11:00 AM EST Reads: 484
Internet of @ThingsExpo has announced today that Chris Matthieu has been named tech chair of Internet of @ThingsExpo 2017 New York The 7th Internet of @ThingsExpo will take place on June 6-8, 2017, at the Javits Center in New York City, New York. Chris Matthieu is the co-founder and CTO of Octoblu, a revolutionary real-time IoT platform recently acquired by Citrix. Octoblu connects things, systems, people and clouds to a global mesh network allowing users to automate and control design flo...
Dec. 10, 2016 10:30 AM EST Reads: 905
Unsecured IoT devices were used to launch crippling DDOS attacks in October 2016, targeting services such as Twitter, Spotify, and GitHub. Subsequent testimony to Congress about potential attacks on office buildings, schools, and hospitals raised the possibility for the IoT to harm and even kill people. What should be done? Does the government need to intervene? This panel at @ThingExpo New York brings together leading IoT and security experts to discuss this very serious topic.
Dec. 10, 2016 10:15 AM EST Reads: 630
Businesses and business units of all sizes can benefit from cloud computing, but many don't want the cost, performance and security concerns of public cloud nor the complexity of building their own private clouds. Today, some cloud vendors are using artificial intelligence (AI) to simplify cloud deployment and management. In his session at 20th Cloud Expo, Ajay Gulati, Co-founder and CEO of ZeroStack, will discuss how AI can simplify cloud operations. He will cover the following topics: why clou...
Dec. 10, 2016 10:00 AM EST Reads: 1,081
In this strange new world where more and more power is drawn from business technology, companies are effectively straddling two paths on the road to innovation and transformation into digital enterprises. The first path is the heritage trail – with “legacy” technology forming the background. Here, extant technologies are transformed by core IT teams to provide more API-driven approaches. Legacy systems can restrict companies that are transitioning into digital enterprises. To truly become a lead...
Dec. 10, 2016 09:45 AM EST Reads: 631
Internet-of-Things discussions can end up either going down the consumer gadget rabbit hole or focused on the sort of data logging that industrial manufacturers have been doing forever. However, in fact, companies today are already using IoT data both to optimize their operational technology and to improve the experience of customer interactions in novel ways. In his session at @ThingsExpo, Gordon Haff, Red Hat Technology Evangelist, will share examples from a wide range of industries – includin...
Dec. 10, 2016 09:00 AM EST Reads: 1,783
"We analyze the video streaming experience. We are gathering the user behavior in real time from the user devices and we analyze how users experience the video streaming," explained Eric Kim, Founder and CEO at Streamlyzer, in this SYS-CON.tv interview at 19th Cloud Expo, held November 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA.
Dec. 10, 2016 07:30 AM EST Reads: 786
Enterprise IT has been in the era of Hybrid Cloud for some time now. But it seems most conversations about Hybrid are focused on integrating AWS, Microsoft Azure, or Google ECM into existing on-premises systems. Where is all the Private Cloud? What do technology providers need to do to make their offerings more compelling? How should enterprise IT executives and buyers define their focus, needs, and roadmap, and communicate that clearly to the providers?
Dec. 10, 2016 06:00 AM EST Reads: 718
"We are a leader in the market space called network visibility solutions - it enables monitoring tools and Big Data analysis to access the data and be able to see the performance," explained Shay Morag, VP of Sales and Marketing at Niagara Networks, in this SYS-CON.tv interview at 19th Cloud Expo, held November 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA.
Dec. 10, 2016 04:30 AM EST Reads: 572
According to Forrester Research, every business will become either a digital predator or digital prey by 2020. To avoid demise, organizations must rapidly create new sources of value in their end-to-end customer experiences. True digital predators also must break down information and process silos and extend digital transformation initiatives to empower employees with the digital resources needed to win, serve, and retain customers.
Dec. 10, 2016 04:15 AM EST Reads: 1,394
Amazon has gradually rolled out parts of its IoT offerings in the last year, but these are just the tip of the iceberg. In addition to optimizing their back-end AWS offerings, Amazon is laying the ground work to be a major force in IoT – especially in the connected home and office. Amazon is extending its reach by building on its dominant Cloud IoT platform, its Dash Button strategy, recently announced Replenishment Services, the Echo/Alexa voice recognition control platform, the 6-7 strategic...
Dec. 10, 2016 04:15 AM EST Reads: 590
We're entering the post-smartphone era, where wearable gadgets from watches and fitness bands to glasses and health aids will power the next technological revolution. With mass adoption of wearable devices comes a new data ecosystem that must be protected. Wearables open new pathways that facilitate the tracking, sharing and storing of consumers’ personal health, location and daily activity data. Consumers have some idea of the data these devices capture, but most don’t realize how revealing and...
Dec. 10, 2016 04:00 AM EST Reads: 5,322
Organizations planning enterprise data center consolidation and modernization projects are faced with a challenging, costly reality. Requirements to deploy modern, cloud-native applications simultaneously with traditional client/server applications are almost impossible to achieve with hardware-centric enterprise infrastructure. Compute and network infrastructure are fast moving down a software-defined path, but storage has been a laggard. Until now.
Dec. 10, 2016 04:00 AM EST Reads: 5,556
IoT solutions exploit operational data generated by Internet-connected smart “things” for the purpose of gaining operational insight and producing “better outcomes” (for example, create new business models, eliminate unscheduled maintenance, etc.). The explosive proliferation of IoT solutions will result in an exponential growth in the volume of IoT data, precipitating significant Information Governance issues: who owns the IoT data, what are the rights/duties of IoT solutions adopters towards t...
Dec. 10, 2016 03:15 AM EST Reads: 515
Whether your IoT service is connecting cars, homes, appliances, wearable, cameras or other devices, one question hangs in the balance – how do you actually make money from this service? The ability to turn your IoT service into profit requires the ability to create a monetization strategy that is flexible, scalable and working for you in real-time. It must be a transparent, smoothly implemented strategy that all stakeholders – from customers to the board – will be able to understand and comprehe...
Dec. 10, 2016 02:15 AM EST Reads: 811
Complete Internet of Things (IoT) embedded device security is not just about the device but involves the entire product’s identity, data and control integrity, and services traversing the cloud. A device can no longer be looked at as an island; it is a part of a system. In fact, given the cross-domain interactions enabled by IoT it could be a part of many systems. Also, depending on where the device is deployed, for example, in the office building versus a factory floor or oil field, security ha...
Dec. 10, 2016 02:00 AM EST Reads: 671