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.



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.

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 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

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


Top 12 Cloud Computing Security Threats

cloud computing security

Due to cloud computing exponential growth, its benefits are now obvious.The most notable are, reduction of maintenance costs of its IT infrastructure, Reduction of energy consumption, the rapidity of sharing data with one or more other users of CC. Possibility of creating a collaborative virtual platform.


However, front all the possibilities offered by this new concept, cloud computing has created new security challenges. Still some enterprises are reluctant to in CC adoption mostly because of the safety factor which is still a challenge.


Just to remind, cloud computing is an IT approach that operates over the Internet (or any other WAN). It’s a type of Internet based computing where different services such as servers, applications, storage, collaboration and administration tools, etc. are delivered to any organization’s computers and devices through the Internet.


Seeing both the promises of cloud computing, and the risks associated with it, the Cloud Security Alliance (CSA) and the Information Systems Audit and Control Association (ISACA) has created several studies in which they have identified 12 points which are the major threats to data security and cloud applications. Let’s have a look to it.


  1. Leakage of that kind of information which wasn’t intended for public due to the existence of Data Breaches.
  2. The fragility in Identity, Credential and Access Management, although some providers prioritize authentication interfaces with other ways such as certificates, smart cards, OTP technology phone authentication, and many others;
  3. Using Insecure interfaces and APIs that customers can use to interact with cloud services
  4. Exploit of System Vulnerabilities in operating systems on servers in clouds or even in hosted applications
  5. Accounts or services Hijacking via software vulnerabilities
  6. Risk caused by Malicious Insiders are not new. It can be a person of management team who has enough access to privacy or secured data that he can easily to misuse it.
  7. Advanced Persistent Threats (APTs) consist of a form of attack where the hacker manages to install somehow a file in the internal network of an organization and can put his hands on important or confidential data of the organization. This type of attack are really difficult to detect for a cloud service provider.
  8. Data loss can be caused by a virus attack of Datacenter, a physical attack (fire or bombing), natural disaster, or even just to a human factor in the service provider, eg in case company’s bankruptcy. The thought of losing all data is really terrifying for both businesses and consumers!
  9. The shortcomings in the internal strategies of adoption or transition to the cloud technologies. Companies or organizations often doesn’t take into account all the safety factors related to their operation before subscribing to a cloud service.
  10. Abuse and Nefarious Use of Cloud Services via accounts created during the evaluation periods (most ISPs offer free 30-day trial) or purchased fraudulently access.
  11. Denial-of-Service is the kind of attack that is meant to limit the acces on data or services by excessive consumption of resources such as processors, memory or network. The idea for the hacker is to succeed in overloading Datacenter resources to prevent other users to use services.
  12. The faults related to the Shared Technology issues can cause problems in the internal architecture of the cloud and eternal interface architecture with users.


These twelve points, as mentioned above, could further reinforce the paranoid in their doubt regarding cloud, but will mainly encourage users (individuals and businesses) to be more demanding on service levels (SLA: Service Level Agreement) conclude with suppliers.




Big Data contribution in Human Resource management

BIG DATA IN Human Ressource


If Big Data was initially used in advertising, finance and marketing sector, today other sectors are looking to take advantage out of it. More like marketing sector, the HR function is undergoing a revolutionary transformation.


Big data and artificial intelligence have become major player to the transformation of any organization and are major elements of innovation, whether they concern material or human assets, data and algorithms are increasingly taking place in organizations to optimize business processes.


Not for a long time, but the HR sector is finally concerned by this trend and using algorithmic intelligence to improve performance. Companies are able to make an incredible amount of data analysis around selection and recruitment processes to identify potential candidates. The focus on data is a real winner for HR if handled correctly.


Started from the most dynamic and innovative companies in the world, now traditional recruitment processes are increasingly being replace by large-scale data analysis. Basically the data is used to anticipate HR department needs: crossing (potential) employee competences and business strategy. It is easier to know when and where the company will need an employee, what position and what mission. Thanks to Big Data input, companies can reduce the risk of failed recruitment of more than 20%.

Let’s take an example of BrightOwl, an online platform, created by Xorlogics, that matches experts with jobs in the clinical research and life sciences industry. It’s an innovative company working at the intersection of data and recruiting helps job-seeker through the application and hiring process and helps companies to receive an overview of applicants available for desired profile via matching the right skills to their projects.


Before implanting big data in your HR management, you should know the two major benefits of it which are relate to sourcing candidates and managing employees.

  • Sourcing is the most important part in use of Big Data. It can analyze resume keywords, skills and candidate profiles on online platforms. These collected data analyzes candidate’s profiles to match them as much as possible to the offer and the company’s values.
  • The second element relates to manage employees, it is a powerful internal development tool. It helps to develop the skills of your best employees. By analyzing your company’s internal data, the Big Data offers custom targeting training to employees.


Big Data therefore requires extensive preparation before its integration into a business. HR departments must be trained in the new tool and accept it as providing new features to their posts. But once past integration, big data will open many opportunities for HR functions, which can be positioned in the center of the digital transition of the business.