|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.
Identity is in everything and customers are looking to their providers to ensure the security of their identities, transactions and data. With the increased reliance on cloud-based services, service providers must build security and trust into their offerings, adding value to customers and improving the user experience. Making identity, security and privacy easy for customers provides a unique advantage over the competition.
Aug. 29, 2016 08:30 PM EDT Reads: 2,435
Qosmos has announced new milestones in the detection of encrypted traffic and in protocol signature coverage. Qosmos latest software can accurately classify traffic encrypted with SSL/TLS (e.g., Google, Facebook, WhatsApp), P2P traffic (e.g., BitTorrent, MuTorrent, Vuze), and Skype, while preserving the privacy of communication content. These new classification techniques mean that traffic optimization, policy enforcement, and user experience are largely unaffected by encryption. In respect wit...
Aug. 29, 2016 08:15 PM EDT Reads: 1,865
Smart Cities are here to stay, but for their promise to be delivered, the data they produce must not be put in new siloes. In his session at @ThingsExpo, Mathias Herberts, Co-founder and CTO of Cityzen Data, will deep dive into best practices that will ensure a successful smart city journey.
Aug. 29, 2016 07:45 PM EDT Reads: 1,656
SYS-CON Events announced today that 910Telecom will exhibit at the 19th International Cloud Expo, which will take place on November 1–3, 2016, at the Santa Clara Convention Center in Santa Clara, CA. Housed in the classic Denver Gas & Electric Building, 910 15th St., 910Telecom is a carrier-neutral telecom hotel located in the heart of Denver. Adjacent to CenturyLink, AT&T, and Denver Main, 910Telecom offers connectivity to all major carriers, Internet service providers, Internet backbones and ...
Aug. 29, 2016 07:00 PM EDT Reads: 1,977
Traditional on-premises data centers have long been the domain of modern data platforms like Apache Hadoop, meaning companies who build their business on public cloud were challenged to run Big Data processing and analytics at scale. But recent advancements in Hadoop performance, security, and most importantly cloud-native integrations, are giving organizations the ability to truly gain value from all their data. In his session at 19th Cloud Expo, David Tishgart, Director of Product Marketing ...
Aug. 29, 2016 06:45 PM EDT Reads: 827
Almost two-thirds of companies either have or soon will have IoT as the backbone of their business in 2016. However, IoT is far more complex than most firms expected. How can you not get trapped in the pitfalls? In his session at @ThingsExpo, Tony Shan, a renowned visionary and thought leader, will introduce a holistic method of IoTification, which is the process of IoTifying the existing technology and business models to adopt and leverage IoT. He will drill down to the components in this fra...
Aug. 29, 2016 06:15 PM EDT Reads: 305
Why do your mobile transformations need to happen today? Mobile is the strategy that enterprise transformation centers on to drive customer engagement. In his general session at @ThingsExpo, Roger Woods, Director, Mobile Product & Strategy – Adobe Marketing Cloud, covered key IoT and mobile trends that are forcing mobile transformation, key components of a solid mobile strategy and explored how brands are effectively driving mobile change throughout the enterprise.
Aug. 29, 2016 05:03 PM EDT Reads: 246
DevOps at Cloud Expo – being held November 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA – announces that its Call for Papers is open. Born out of proven success in agile development, cloud computing, and process automation, DevOps is a macro trend you cannot afford to miss. From showcase success stories from early adopters and web-scale businesses, DevOps is expanding to organizations of all sizes, including the world's largest enterprises – and delivering real results. Am...
Aug. 29, 2016 04:30 PM EDT Reads: 3,564
Internet of @ThingsExpo, taking place November 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA, is co-located with 19th Cloud Expo and will feature technical sessions from a rock star conference faculty and the leading industry players in the world. The Internet of Things (IoT) is the most profound change in personal and enterprise IT since the creation of the Worldwide Web more than 20 years ago. All major researchers estimate there will be tens of billions devices - comp...
Aug. 29, 2016 02:15 PM EDT Reads: 3,741
DevOps at Cloud Expo, taking place Nov 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA, is co-located with 19th Cloud Expo and will feature technical sessions from a rock star conference faculty and the leading industry players in the world. The widespread success of cloud computing is driving the DevOps revolution in enterprise IT. Now as never before, development teams must communicate and collaborate in a dynamic, 24/7/365 environment. There is no time to wait for long dev...
Aug. 29, 2016 02:00 PM EDT Reads: 2,482
Data is the fuel that drives the machine learning algorithmic engines and ultimately provides the business value. In his session at Cloud Expo, Ed Featherston, a director and senior enterprise architect at Collaborative Consulting, will discuss the key considerations around quality, volume, timeliness, and pedigree that must be dealt with in order to properly fuel that engine.
Aug. 29, 2016 12:45 PM EDT Reads: 2,026
There is growing need for data-driven applications and the need for digital platforms to build these apps. In his session at 19th Cloud Expo, Muddu Sudhakar, VP and GM of Security & IoT at Splunk, will cover different PaaS solutions and Big Data platforms that are available to build applications. In addition, AI and machine learning are creating new requirements that developers need in the building of next-gen apps. The next-generation digital platforms have some of the past platform needs a...
Aug. 29, 2016 12:15 PM EDT Reads: 832
19th Cloud Expo, taking place November 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA, 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. Meanwhile, 94% of enterpri...
Aug. 29, 2016 12:00 PM EDT Reads: 3,195
SYS-CON Events announced today that Hitrons Solutions will exhibit at the 19th International Cloud Expo, which will take place on November 1–3, 2016, at the Santa Clara Convention Center in Santa Clara, CA. Hitrons Solutions Inc. is distributor in the North American market for unique products and services of small and medium-size businesses, including cloud services and solutions, SEO marketing platforms, and mobile applications.
Aug. 29, 2016 08:15 AM EDT Reads: 744
Announcing @TelecomReseller Named “Media Sponsor” of @CloudExpo Silicon Valley | #IoT #Cloud #BigData
SYS-CON Events announced today Telecom Reseller has been named “Media Sponsor” of SYS-CON's 19th International Cloud Expo, which will take place on November 1–3, 2016, at the Santa Clara Convention Center in Santa Clara, CA. Telecom Reseller reports on Unified Communications, UCaaS, BPaaS for enterprise and SMBs. They report extensively on both customer premises based solutions such as IP-PBX as well as cloud based and hosted platforms.
Aug. 29, 2016 08:00 AM EDT Reads: 954
Extreme Computing is the ability to leverage highly performant infrastructure and software to accelerate Big Data, machine learning, HPC, and Enterprise applications. High IOPS Storage, low-latency networks, in-memory databases, GPUs and other parallel accelerators are being used to achieve faster results and help businesses make better decisions. In his session at 18th Cloud Expo, Michael O'Neill, Strategic Business Development at NVIDIA, focused on some of the unique ways extreme computing is...
Aug. 29, 2016 02:15 AM EDT Reads: 2,243
With so much going on in this space you could be forgiven for thinking you were always working with yesterday’s technologies. So much change, so quickly. What do you do if you have to build a solution from the ground up that is expected to live in the field for at least 5-10 years? This is the challenge we faced when we looked to refresh our existing 10-year-old custom hardware stack to measure the fullness of trash cans and compactors.
Aug. 29, 2016 02:15 AM EDT Reads: 1,845
The emerging Internet of Everything creates tremendous new opportunities for customer engagement and business model innovation. However, enterprises must overcome a number of critical challenges to bring these new solutions to market. In his session at @ThingsExpo, Michael Martin, CTO/CIO at nfrastructure, outlined these key challenges and recommended approaches for overcoming them to achieve speed and agility in the design, development and implementation of Internet of Everything solutions wi...
Aug. 29, 2016 01:45 AM EDT Reads: 2,207
Cloud computing is being adopted in one form or another by 94% of enterprises today. Tens of billions of new devices are being connected to The Internet of Things. And Big Data is driving this bus. An exponential increase is expected in the amount of information being processed, managed, analyzed, and acted upon by enterprise IT. This amazing is not part of some distant future - it is happening today. One report shows a 650% increase in enterprise data by 2020. Other estimates are even higher....
Aug. 29, 2016 01:15 AM EDT Reads: 3,036
Actian Corporation has announced the latest version of the Actian Vector in Hadoop (VectorH) database, generally available at the end of July. VectorH is based on the same query engine that powers Actian Vector, which recently doubled the TPC-H benchmark record for non-clustered systems at the 3000GB scale factor (see tpc.org/3323). The ability to easily ingest information from different data sources and rapidly develop queries to make better business decisions is becoming increasingly importan...
Aug. 28, 2016 11:15 PM EDT Reads: 2,174