Hybrid Cloud Myths Busted

Often presented as a third path between the private cloud and public cloud, companies, consulting firms, suppliers and hosts have started to take their interest hybrid cloud. What is the hybrid cloud? There is no strict and standardized definition of what the hybrid cloud is, each player on the market (consulting firms, hosting companies…) have their own definition.




For Forrester, the hybrid cloud presents itself as “an IT infrastructure model in which at least one external cloud service is integrated with an application, data source, or internalized infrastructure element”. For Gartner, “Hybrid cloud refers to policy-based and coordinated service provisioning, use and management across a mixture of internal and external cloud services”. Basically, it’s a mix use of public and private cloud which are used together to create value.

benefits of Hybrid cloud

Combining the benefits of public clouds such as agility and low cost, with the strengths of private clouds (control, performance and safety) the hybrid cloud brings the best of both technologies. These assets play an essential role in the success of companies, even if few of them still wonders what really a „hybrid cloud“ is. Two options are offered to businesses: get on the board or remain docked. To see more clearly, I propose to demystify the five major myths that usually surround the hybrid cloud.


Private + Public = Hybrid:


It is not enough to place together these two infrastructures to create a hybrid cloud. In fact, you may not gain any of the respective advantages of both types of clouds but end up multiplying the risk by both of them! First, by moving secure data to the public cloud, security breach can result in brand damage and loss of customers’ trust, and requires significant time and effort to remediate; secondly, migration of apps from a public cloud to a private cloud can lead to unexpected costs. By having a hybrid cloud, you control your workload, your network and storage resources while minimizing risk and increasing productivity.


A Hybrid Cloud is Complex and difficult to implement:


The use of complete IT solutions allows you to reduce complexity and to choose standard technology – (Microsoft, OpenStack, Vmware) on which your hybrid cloud is standardized, but also the type of public cloud with which the private cloud deployed on site by customer can interact. A complete solution accelerates three essential elements of development: – Integration of end-to-end testing to verify that all components work together; – Use of a converged infrastructure that simplifies the implementation and deployment; – Predefined plans for services, with workflows that must automate provisioning through a self-service portal.


The public cloud is more cost-efficient:

Cost savings via Hybrid cloud

A New study by IDG Research Services shows that if we take into account the governance issues, risk and compliance, the hybrid cloud displays in fact a lower total cost of ownership. When data or workloads migrate to the public cloud, it is easy to override local or international regulations on data protection. The local laws and requirements vary from market to market, and some are so complex that companies simply prefer to avoid public clouds. May be that’s why you may want to choose private cloud for sensitive workloads. In Germany for example, the rules on how data is stored and processed are especially strict. The solution lies in how to mix public cloud and private cloud offering each workload the advantages of one or the other, depending on their requirements.


On the cloud, the data control escapes you:


While extraction or data migration can be difficult via some particularly cloud service providers, a well-orchestrated hybrid cloud environment enable you to keep hand on your work. A well-managed hybrid cloud can provide quickly required public and private resources, provide IT departments a high level of visibility and control, as well as self-service and on demand access for developers and applications users.


It is difficult to know which applications are suitable for cloud:                


Companies are often hampered by the critical interdependencies of IT infrastructure, ignorance of their IT assets and their relationships to business applications. With a simple spreadsheet and without rigorous methodology, it’s impossible to know precisely if an application is suitable or not for cloud – and even less to know the position in a cloud architecture. Experts who use automated platforms for collecting and analyzing data can provide a complete comprehensive view of the application portfolio and tell whether you need to migrate, consolidate, modernize or simply stop the use of an application.          


hybrid Cloud as digital transformation


Even if the definition of hybrid cloud is still unclear, its undeniable benefits in terms of agility and cost reduction are now the essential model of tomorrow. Companies that are preparing or starting their digital transformation have every reason to anticipate a future adoption and now choose technologies that will integrate public and private worlds, i.e. converged infrastructure and proven software solutions.



Artificial intelligence and connected objects, trends of the upcoming years?

Artificial intelligence

Artificial intelligence, great topic of the moment? Yet the term dates back to the 1950s! AI is the term used most commonly for Artificial Intelligence. The concept is to develop computer programs that perform tasks that are normally performed by human. The goal is to give machines (robots) ability to seem like they have human intelligence. I’m pretty sure that at this point we all have seen robots doing the grunt work in factories, intelligence driverless cars, and companies are using AL to improve their product and increase sales.


Since 2007, Gartner has been predicting key strategic technology trends for the coming years – not an easy task considering the rapid change in the IT market. According to a classification made by Gartner, Artificial Intelligence, Big Data, Cloud Computing, sensors, connected objects, smart machines and modern 3D printing are the key trends of the years 2016-2020. Automation and artificial intelligence figure prominently in the top 10 technology trends of the future presented by Gartner at its conference Symposium / ITxpo 2015.


Multiple devices, mobile to electronic devices via the connected devices and sensors are the first big trend mentioned by the research company. More and more devices are becoming connected and “resulting in smarter homes, smarter cars, smarter everything. IoT is leading to a point where “no object will just be an object—it will all be wirelessly connected to something else.


 Gartner expects more interaction between these connected devices via different networks in the coming years and beyond (via 4G + 5G technologies). The user experience and virtual environments comes in second position. According to Gartner, this presents a big opportunity and competitive advantage to IT developers and enterprises. 3D printing are third in this ranking, which isn’t yet a mature market, but getting stronger. Thus, global shipments of 3D printers for businesses should show 64% of an average annual growth rate until 2019.


Information on the massive data processing era (Big Data), followed by advanced machine learning and deep learning are also on the top 10.


“The explosion of data sources and complexity of data classification makes traditional (manual) analysis almost impossible and unprofitable for organizations. With artificial intelligence, the chances of error are almost zero in addition to that greater precision and accuracy is achieved. Plus according to Gartner, in 2018, 20% of all business content and documents will be produced by machines.


Gartner have published results of a survey on the topic Big Data, artificial intelligence and the relationship between the two domains. Without further ado, here are the main results:

  • 69% of respondents says that artificial intelligence will improve with the massive use of data
  • 68% think that Big Data will be used very long term by public authorities and businesses
  • 67% believe that the Big Data presents long-term benefits for the health and well-being
  • Finally, 65% approves that they use avatars that are digital assistants who interact with the users in order to save the need of human resources.


Artificial intelligence can provide unexpected business intelligence for organizations, enhance knowledge on their customers and improve customer interaction with the company, and in some case even replace entire departments as intelligent, learning machines perform tasks until now strictly reserved for humans. Not surprisingly, demand for solutions made possible by artificial intelligence is increasing in the private sector as well as in the public sector. “In every organization, IT experts should explore how to use intelligent agents and these autonomous connected objects to improve the activity” said David Cearley, vice -President and associated Gartner.


Source: Webbmedia Group – 2016 Tech Trends

Cloud computing implementaion and its benefits

Cloud Computing

This week I’ve decided to talk over cloud computing because I’ve noticed even though it’s an existing technology, talking about it is still Chinese for some people. So to better understand this IT evolution, I’ve decided to provide some explanations, based on several studies, of what’s good to know about #cloudcomputing.


Let’s first dive in some history because it’s important to understand where did it came from. Basically Internet exists since 1960s, but it’s only in 1990s that it showed any importance for businesses. The famous WWW “World Wide Web” was born in 1991, and in 1993 a web browser was released that allowed users to view web pages.

Since then the arrival of cloud computing has revolutionized the use of computer services in organizations. Before companies need to manage their IT assets in order to get the more out of it. Now, with cloud computing, companies can use on-demand IT services, without worrying about the infrastructure issues, security and maintenance.


The uses of computing in cloud are endless and there are only good reason: it’s the same as with traditional IT, except that the servers / machines that store and process information are not in the same building and are high-performance, reliable servers designed to help you grow and scale any business quickly and easily. In short, below are some uses of cloud computing:


  • Use of services / softwares online
  • File storages
  • Disaster recovery
  • Backup
  • Collaboration via shared workspaces and synchronous communication tools


When I think about it, life before cloud computing was quite pain in the ass because the company’s employees used to access to IT resources (servers, applications, storage spaces …) via the internal corporate network. (Means no home working). There’s no doubt that cloud computing is enhancing out ability to work anytime anywhere.


If we compare, traditional enterprise applications are still too complicated and expensive. The number and variety of software and hardware required for their execution is overwhelming. A team of experts is needed to ensure the installation, configuration, testing, implementation, security and update of these software’s.
Cloud computing is the new way to work. The company’s employees are able to access to computer facilities provided by one or more cloud providers via the Internet. These infrastructures are pooled among several companies to be proposed at the lowest cost. Organizations don’t manage any hardware or software. With this kind of infrastructure you only pay for what you need, upgrades are automatic and the evolution of the system is easy. Many businesses are moving to cloud because cloud computing increases efficiency and helps improve cash flow and offers many more benefits.


Is implementing cloud services worth it?

“Anywhere, any device, anytime!” For cloud computing vendors the answer is obvious: yes! Companies have every incentive to put their data in clouds. For various reasons: they do not buy the product license and doesn’t need to care of updates of the software and equipment maintenance.

Other arguments: the lack of investment in major infrastructure (most of the time, the computer room one of most important part of the building to which was added an air conditioning system), a very fast service (a server can be activated in minutes) and flexibility (for IaaS and PaaS).


Advantages of Cloud Computing:

  • If you’ve ever implement a new applications / service, I’m pretty sure that you are aware of the time it can take. But with a cloud based application, you can cut through this complexity and use the application within no time because you don’t have to worry about maintenance or management.
  • There’s no initial investment if IT tools and no hardware maintenance
  • Costs reduction because users only pay for what they consume. Also strong economy of energy costs and cost of licenses. Also with cloud based applications organizations can increase and decrease the number of users based on your needs.
  • Reduced risk of hardware failure. Data is secured and IT is truly mobile.
  • Not to forget mobility aspect, the user can at any time and from any device connect to applications and workflow. All you need is a terminal with an Internet connection. It’s more productivity and presents a gain of time.
  • It has no size limits, so you have no worries of its capacity.
  • Data is stored securely in clouds, if in case you’ll lose your computer, you’ll never use your important information


How the Cloud has convinced organizations?

The number one reason is the facility of connecting their employees using a multitude of different devices. Whether it’s a computer, smartphone, laptop or tablet.

According to the McKinsey Global Survey, more than 80% of respondents indicated they are using or experimenting with cloud technology. And 27% of users affirms that cloud computing has increased the performance of their business by saving time to its employees.

Finally, 93% of users declared that they have improved the efficiency and utilization of their “data center” through the cloud.


The impact of cloud on the business model of companies

According to IBM, on average, the cloud helps companies to halve their operating costs. “A unified computing is a 30% cheaper service. The automation of load distribution represents 11% savings in addition to cost governance” says Ian Brooks, in charge of promoting the cloud at HP.


With all these information, we can conclude that cloud computing presents the boom and bust in information technology. End of 2020, 840 million people worldwide will be using “Cloud Computing” solutions and companies will be saving at least 210 billion annually.


Contact us if you have any question about cloud computing implementation. Our dedicated team can help you save A LOT than you can imagine.

How to succeed your Big Data project?

big data project

Big Data is sweeping the business world, there’s no doubt that data-driven decisions and applications create immense value by utilizing data sources to discover, present and operationalize important business insights.


Let’s see the list below how you can implement, manage and succeed your Big Data project.


  • The initial objective is important

If your goal is not clear from the very beginning, you may not only be wasting your time but also money on wrong tools so you can easily penalize your project in terms of time and consumed resources. Keep in mind that your goal isn’t to develop a BIG, FAT database but to be able to collect useful information and analyze it in order to take good decisions for your organization.

Many companies focus on collecting as much data as possible from as many sources as possible. While gathering data is important, the second half of the equation — the “science” part — is too often forgotten. You need to approach your big data efforts from a scientific perspective to gain the most benefit from them. If not, you’re at risk of basing your decisions off of bad models, poor data quality, and erroneous assumptions.


  • The concept of uncertainty

One of the most significant developments of Big Data compared to more traditional data is the management of the uncertainty. This does not mean that nothing is planned or the Big Data project is launched without preparation. This means, however – and this is particularly true in marketing – that the Big Data project must take into account this uncertainty from the beginning of its design, and operate on a self-learning model. Again, you must, from the start, create goals that allow you to measure your progress along the way. You’ll also need to take into account what data you need, what existing data you have, and how it all applies to your business objectives.


  • Intelligent Big Data

Big Data is not a matter of robots. It’s primarily the result of crossing human intelligence, technology and automation. We all know that collecting information into a data lake is one thing, but finding the business value hidden in heaps of structured and unstructured data is quite another. To have big impact of big data and to deliver phenomenal results to meet expectations, they require new profiles at the intersection of different disciplines: computer science, databases, statistics, artificial intelligence, and last but not least, business knowledge (marketing, finance, logistics, etc.).


  • Impact of Big Data on organizations

Big data is becoming an effective basis of competition in pretty much every industry. Not only because of new professions emerged, for which the training is still largely to be create. But also because organizations “craft” of business are strongly rethought. One of the more significant impacts of big data is the organizational change or transformation necessary to support and exploit the big data opportunity. Old roles must be redefined and new roles must be introduced, creating both opportunities and anxiety for individuals and organizations alike.


  • Big Data technologies are available

Big Data is not only a buzzword but already available here and now. Many of the technologies used in the Big Data have indeed been invented and popularized by Web giants (Google and Yahoo! are among the pioneers) and are now made available to all who are able to implement them.


  • The data is the new oil

The distinction between information system (all processes and organizations between data, their process and archiving) and computer system (hardware and especially software used to process the data) is a classic.

The data is still a largely unknown area by the management of who still consider computer systems like magic formulas capable of transforming the business effortlessly. However, the data is capricious, and it requires a lot of work. It’s growing importance in a society where computerization is presence in all sectors, strength to change the perception of this data by the user. Much remains to be done for this change to be fully realized.


  • A Big Data project must be managed differently

Big Data is not only a marketing buzz word to describe existing and new technologies but they have their vocabulary, their professionals, their methods, algorithms, and specific projects approaches. Each Big Data project has its specificities. Beyond the technical approach, it induces specific methodology, an appropriate legal framework and a good measure of social impacts.  Learning will be necessary because Big Data are in constant reconfiguration.


What can we learn from Big Data? Certainly first of all we should understand what it is and what its value is because working with data is nothing like it was before. The reality is quite different. Above all, we must get rid of some myths like wishing to analyze everything in Big Data. Similarly, the idea of storing everything in order to “do something someday” is just a waste of time. Companies have never been in a better position to leverage the mountains of data available today to quickly gain insights for real business results.

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.


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.


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”.



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

3 things to know about Big Data and Predictive Analytics

Big Data Growth

If you’re like most business owners, you’ve probably tried or already trying to accomplish a lot of things with a reduced team. You’ve already tried or you want to give a try to build a sales or marketing team with few resources and few staff members. At the same time, you have to juggle growing revenue, rising funds and expanding your customer/user database. But, in all this rush, there is one thing you mustn’t forget, which is your data.


You use them every day by giving them more or less important, (to be honest I think still now most companies doesn’t care enough about data). Yet, they can have a considerable impact on the success of their business. So what can “Data” help you with?


Here are three things you must know about the data and its potential to taking your existing business to the very next level.


1. Everyone holds the information (data)

Some leaders thinks that their gathered data isn’t revealing or valuable because their business isn’t big enough to gather valuable data. But they’ve to realize that’s NOT true. Even in small companies, data is EVERYWHERE and you must take them into consideration to survive in this competitive world.


Everyone who turns on an electronic device and any activity that can be connected on-line, whether a click, online, downloading a document or white paper, generates a “digital footprint.” In 2010, Google Chairman Eric Schmidt said that five exabytes of data were created every other day! To give you an idea, this is the number of data that has been created between the dawn of civilization and 2003. In 2014, IDC (International Data Corporation) announced that by 2020, the universe digital will double approximately every two years.


2. Data can interpret your past

Companies that gives importance on their data typically use to interpret the past so they can better plan their future. For example marketers can see the number of visitors who viewed their website over a month, or the percentage of visitors who clicked on pages before leaving the website. A sales manager can gain visibility and detailed reporting on sales opportunities and sales pipelines via sales CRM app.


A hand on your data can be useful to review your past activities, make diagnoses and help to better organize future activities. However, you simply get a view of your past performance. The data can only predict but can’t tell you the guarantee about what will happen in the future.


3. Data and predictive analytics

The most advanced organizations are, of course, also concerned by “data” by using it as a predictive technology to anticipate and better plan than their competitor. For them, it’s THE tools that allows them to optimize their actions and future decisions. So basically, predictive analysis can predict future trends and behaviors from the existing data.


Take for example these below operations. Predictive analytics can help you determine:


    • Who is your top priority customer and with whom you must continue your cooperation,
    • The contacts you need to target for a specific action;
    • How and when prospects are likely to buy from you.


Prediction tools provide clarity to sales and marketing teams to help them to make decisions. Their activities and actions will, for sure, generate the best results for your business thanks to the help of “predictive intelligence”. Predictive analytics actually deals with extracting information from billions of rows of historical data and use it to predict trends and behavior.


The different prediction models are designed to determine the changes or similarities in past purchasing patterns and highlight the most important ideas. For example, you can find:


  • Which customers your sales team must contact first;
  • What arguments you must highlight for a specific client;
  • What type of content (white paper or video, for example) and what form of communication (email, phone …) will get the best (potential) customer engagement.


I’m sure you’ve understood the importance of, even the tiny data, in this huge big data, as most of our activities leave a digital footprint. The analysis of these data and will help you better understand your past actions (strengths, weaknesses and areas for improvement) and then act on your future actions through predictive analytics.



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.


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.

Business Intelligence Insights

Business Intelligence development in 2016

Strategic information is often embedded in the volume of data information systems. In addition, these data are sometimes stored unorganized or in unstructured way. The volume of data is growing daily, it is very difficult to treat them and understand their meaning. But access to information, all information, without any delay, that’s what leaders want and that’s what BI is offering. Since past twenty years BI or “Business Intelligence” has seriously made its entry into business. But what is this software solution? Who is it for?


In a few words: BI consist to transform data into information in order to predict the future development of any company. This is an IT approach that generates and processes data in order to enable leaders to have a global vision of the results of their business. Those data generated reports provides them a better analysis and understanding of the market. It is a real help in strategic decision making. Gartner findings revealed that the market for BI solutions has an annual growth of 7%.


Few years back, the BI was mainly used in financial sector for different departments such as accounting, management control etc. because financial institutions need to support business activities and decisions making in time. But now we all are witnessing a BI technological change and development means providing the opportunity of significant competitive advantage for all organization. Expansion of BI is having such a huge success that now it’s available to any size of organization. Not only in mode but the BI now, is a necessity of all organizations, it represents a real strength of company.


Moreover, the growing use of cloud-services clearly indicates that more and more companies choose not to waste their budget in purchase of expensive and complex software. They prefer the affordable price of services available in SaaS mode, simple and quick to implement, without cost to install or setup + access data any moment. These solutions especially have the enormous advantage of being a payback within months.


In a company, data presentation tools offered by Business Intelligence are for everyone. Every department will find the tool that suits them best and benefit for its function.


  • Management monitors business performance and effectiveness of their strategy via performance indicators presented in dashboards.
  • Analysts literally navigate in information to understand and analyze the highlights of any organization.
  • Finally, employees use structured reports to follow and adapt the day to day operational activities of the company.


There’s no doubt that the collaboration of these services available in SaaS mode, offers companies the opportunity to create a fluid flow of information. A well-designed BI solution provides a consolidated view of key business data which isn’t available anywhere in the organization, gives management visibility and control over measures that otherwise wouldn’t exist.