Survey : Big Data and the IoT

Connected objects confront the Big Data to new needs, including the quick processing of multiple data sources from the Internet of Things. These levers of innovations are still at stages of maturity, but they represent a real potential for organizations.

 

The rapid development of the Internet of objects has made the data analytics more challenging due to processing and collecting data via different sensors contained in our connected objects. According to the report from IDC (International Data Corporation), the Big Data market will amount mora than $ 125 billion in between 2016-2019.

 

Future of IT: Big Data and Internet of Things are two sides of same coin and a recent study (January 2016) by Tech Pro search shows that Big data and the connected objects are an important economic growth driver via their collaboration in collection of valuable data. Even if they open the possibility of connecting people or objects more relevant, to provide the right information to the right person at the right time, or to highlight useful information for decision making, survey result demonstrate that large companies are more than twice as likely to integrate Big Data solutions than small businesses.

 

The promise of big data depends on the ability of a company to use a connected device to compile data, both internally and externally. Since Big data is a new source of economic value and innovation, the value of data evolves from initial use to future potential uses with higher added value, (all data are thus considered valuable by definition). Study shows that he cost of the analytical processing of big data is expected to decrease this year, allowing companies to collect valuable data more easily.

 

Topics studied in the survey :

  • Data collection via the Internet of Things related to the market place;
  • Data collection via the Internet of operations related data objects;
  • the budget and the number of employees dedicated to the Internet of Things;
  • data security;
  • the advantages and disadvantages of data collection for the Internet of Things.

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Who uses big data?

The first objective of survey was to assess where big data is in use by determining where implementations took place. The study shows that 29% of companies have deployed big data solution, against 61% who did not.

Implementation of Big Data

 

The size of the business is important, because large firms are much more likely to implement big data than small business. In fact, respondents in companies with 1,000 or more employees have implemented big data almost 1.5 times more than those who did not (49% against 35%), main while only a fifth of smaller companies have implemented big data. Three quarters of these companies haven’t any big data solution.

Big Data by company size

 

The region is also important. People whose business is established in the Asia Pacific region are more likely to have responded that their company had achieved an implementation of big data, 19% more than in Europe, which comes in second place. Conversely, the big data is rare in Central and South America.

Big Data by region

Who uses the Internet of Things?

As big data is associated with the Internet of Things, Pro Tech Research also sought to know who uses IoT to collect data relating to the operations or the market place. Only slightly more than a fifth (21%) of respondents say they use the internet of things and 35% plan to put it near future.

IOT

33% of respondents in companies with 1000 or more employees indicate having no current or planned implementation system of IoT, against 59%, 47% and 46% for other companies (ranked in descending sizes). Like the big data, large companies are more likely to have implemented or plan to establish an IoT system to collect internal and external data.

IoT and Big Data

However, it is interesting to note that unlike the big data, internet objects is less likely to be used not in small companies, but in the medium-sized companies (50-249 employees) and midcap companies (250 to 999 employees). This demonstrates that the Internet of Things is more rooted in small businesses as big data, while the reverse is true in both categories of intermediate size.

 

There’s no doubt that IoT is marked by the development of social networks, partnerships and complex interrelations, enabling the development of industrial processes, improvement in services quality and performance available to individuals and consumers. IoT feeds data and increases its value and volume.

 

To learn more about big data and the Internet of Things, download the full report TechProResearch, “Big Data and IoT: Benefits, Drawbacks, usage trends”.

 

Sources:

Research : Big Data and IoT – Benefits, drawbacks, usage trends

How you can benefit from using Big Data in your business operations

Big Data, it is above all a great opportunity for companies to innovate, grow their sales, profits and markets so they can grow their portfolio and also to create new jobs. For customers and consumers of these businesses, it is a guarantee of a better customer experience in all interactions with brands either in sales, marketing or at the customer service.

 

The idea of data creating business value is not new, however, to explain briefly why, today, only a “small portion” of the data – often digital marketing or customers data but also data collected from connected objects, various maintenance processes, product usage statistics – are actually exploited by companies. The main reason is that the collection, storage and operating correctly the gathered data cost very expensive for some companies. In fact more expensive than the apparent or immediate value generated by the exploitation of these data. Another reason is the fact that most organizations still aren’t enough competent to technically manage the huge flow of data that is generated by the above examples.

 

The big data approach is used to collect, store, and analyze all the data at much more reasonable cost than the traditional process thanks to new storage technologies. Big data technologies release organizations from the traditional accuracy vs. cost challenge by enabling them to store data at the lowest level of detail, keeping all data history under reasonable costs and with less effort if managed correctly.

 

BIG DATA

The benefit is that we can now consider to analyze and turn into actionable information, all the data that was once out of reach for both technical and financial reasons but the density of information contained in this new data is still less compared, for example, to conventional transactional data. But this problem is somehow compensated by the huge volume of data first, and especially the ability to cross-check them through statistical algorithms. So now, with a little help of experts in domain, companies have now the ability to exploit big data and to transform it into actionable knowledge then in make profit out of it. “The ability to exploit data correctly will define the difference between the losers and winners going forward,” says Tim McGuire, a McKinsey director.

 

In today’s hypercompetitive business environment, one of the biggest business challenges for companies is the importance of being able to find and analyze the relevant data they need, they must find it quickly.

 

Here a video that explains what’s Big Data in detail.

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Now that you’ve saw the video and read the above part, let’s check example of a company that has successfully used THE Big Data. ACCOR, one of the French leaders in the hotel industry, has significantly increased its hotel booking rates through the use of these techniques. The business challenge is based on real time offers and recommendations for online users company’s website.

 

Accor has always wanted to derive insights from information in order to make better, smarter, real time, factbased decisions and now thanks to the RTD solution of Oracle (Real Time Solution), ACCOR group achieved more benefits than before. The project is recent (2013) and is still rising and making benefits for the group.

 

In today’s highly interconnected global business environment, marketing departments are front of the most exciting challenges of Big Data in which customer insight is a top priority for organizations in all industries. The main challenge here is to develop, maintain and control a 360 ° view across all channels and points of interaction with the customers.

 

As Customer satisfaction is at the heart of the selling process for all companies, they must organize the marketing and operational processes around the data. This data must be transformed into knowledge by the analytical part of big data, especially must be operational and available for customer interaction usage.

 

What’s the future of Big Data?

 

futur of bigdata

The pursuit of information has been a human preoccupation since knowledge was first recorded. Talking about the future of big data is really vague and deep topic, because it’s very much a “here and now” phenomenon. Big Data is a major trend and is set to offer companies tremendous insight. Gartner describes big data as a situation where the volume, velocity and variety of data exceed an organization’s ability to use that data for accurate and timely decision-making”.
Organizations are increasingly realising the utility of data that is bringing the value through continuous improvements in their existing operations.

 

Many uses of Big Data are only in their infancy and we can expect to see a surge of uses that we have not even thought of yet today.

 

The Big Data is as important for business as the Internet in its time. Companies that won’t act now will may be overtaken in few years by the competition. It is best to start even a modest project quickly rather than waiting for the technologies and methods to stabilize because then it will be too late.

 

Cloud Computing : Web Services Suppliers Selection by Developers

One of the leading analyst company in the app economy and the developer ecosystem VisionMobile published the results of a survey in which more than 13,000 developers from 149 countries were surveyed. Among other points studied in the report, the company highlights the cloud market trends and factors that justify the selection of a developer for a particular cloud service provider.

 

The chart below shows us an overview of worldwide Developers presence. First thing that got my eye was the level of gender imbalance is really high, 94% of male dominant. Asia and Africa have a younger technical workforce and are faster to exploit new areas like IoT. One of major advantage of such young workforce is that they don’t have families and have plenty of time to dedicate to their work, and some of them are even involved in two or three areas of development.

THE GLOBAL DEVELOPER LANDSCAPE

The result of the survey concerning cloud computing shows that CC market is one of leading revenue generator market for developers. As a matter of fact, 57% of cloud services developers interviewed in different countries earn at least $ 5000 per month. This percentage concerns 41% for Internet of Things (IoT) developers, 49% for mobile developers and 51% for developers of desktop applications.
We also note that 28% of cloud services developers reach more than $ 10,000 per month. 16% of IoT developers, 21%of mobile developers and 24% of developers of desktop applications earns same monthly income.

Developpers Revenue

 

One of the key determinants for selection a cloud computing platform is the supported language. Normally all popular cloud services supports a wide range of languages, however, depending on used languages, developers are focused on specific platforms. “Platform owners hoping to attract developers need to support a range of languages, but maintaining libraries and APIs can prove expensive and dropping a language is politically difficult”. 

 

Furthermore, regional differences also exists, for i.e. we can see the North American preference for HTML5 and Asia preference for Java and C/C+.

 

The chart below demonstrate that developers are typically self-starters, and that is reflected in the predominance of self-teaching across all the languages. Java programmers have the biggest percentage of degrees (73%), on the other hand, C/C++ also boasts a slightly lower number of degree holders (65%), and almost ties with Java for postgraduate qualifications. The lower proportion of degrees for C/C++ developer is mostly explained but more self-taught games developers using the language. Plus when it comes to generate revenue, developers are getting very creative and most are keen to pick a language which keeps a wide range of options open.

Supported languages

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The survey reveals that 44% of developers surveyed “are happy to keep their cloud safely home,” in fact, almost half of developers are hosting their apps in private clouds, well away from the public infrastructure which grabs all my attention because even Amazon Web Services, the biggest cloud by far, can only boast of being the primary platform for 16% of software developers, while 44% of them are happier to keep their clouds safely at home. Microsoft Azure is next with 13%, followed by Google Cloud Platform (8%), Digital Ocean (4%) and Heroku (2%).

 

It’s no great surprise that Amazon’s Web Services provides the greatest linguistic variability. Note that Microsoft’s cloud services attract more Microsoft developers, 54% of Azure developers prefer C#.

 

Java is the most popular language, followed closely by PHP, but even those two aren’t obviously predominant. Every cloud platform present on the chart below, have one or two dominant languages, and plenty of less-popular alternatives with very-low usage figures, but Amazon customers clearly aren’t selecting the platform on the basis of language support but because of Amazon worldwide popularity.

 

Amazon Web Services-Microsoft Azure-Google Cloud Platform

 

Sources :

Developers Economics – State of Developer Nation

 

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