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When is a Cloud Service Provider GDPR-suitable?

Cloud providers are much more committed to the Data Protection Regulation (GDPR) than before. As of 25 May 2018, the new regulation on the processing of personal data will apply – but what exactly does that mean for us as a cloud user? How do you know if a service or provider meets GDPR requirements? And when does a cloud service actually qualify as a GDPR -compliant?

 

The values governing the processing of personal data are initially governed by Article 5 (1) of the GDPR; Further regulations can be found, inter alia. in Articles 25 and 32. In what follows, explanations on main demands are, especially in relation to cloud services, can be found.

 

Data must be processed lawfully and fairly – GDPR Art. 5

 

The processing of personal data in the cloud is legal only if the data subject has consented or if another legal basis exists. The data processing must take place in a manner that is comprehensible to the person concerned, i.e. the cloud provider must be able to provide clear guarantees as the transparency is now included as a fundamental aspect of these principles.

 

Confidentiality, integrity and availability – GDPR Art. 5.1 f & Art. 32

 

The data must be processed in a manner that ensures adequate security of the data, including protection against unlawful processing, loss or damage. Furthermore, the processing must not be expected to breach the dignity of the persons concerned or to restrict their freedoms.

 

Security and state of the art processing- GDPR Art. 32

 

During the processing, a sufficiently high security must be guaranteed. The legislator demands that the level of security be constantly improved and always based on the so-called “state of the art” methods.

 

Privacy by Design and Privacy by Default – GDPR Art. 25

 
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Taking into account the state of art, Data protection must be guaranteed by privacy-friendly technology design (Privacy by Design) and privacy-friendly default settings (Privacy by Default).

 

Accountability – GDPR Art. 5.2, Art.28, Art 30 & Art.35  

 

Basically, the controller is responsible for compliance with all mentioned requirements and must be able to prove this in advance (accountability). He must include the processing in the cloud in his directory of processing activities and, if necessary, conduct a risk analysis, a so-called privacy impact assessment. The controller now shares this responsibility with the cloud provider, who in turn also has to provide sufficient guarantees that the requirements of the GDPR are complied with.

 

Processing – GDPR Art. 28

 

In cloud computing, the user orders the provider to process the data. In order for the cloud user to be able to live up to his responsibility to the data subjects in this case too, he ensures his agreement with the cloud provider with an order processing agreement that also fulfils the requirements of the GDPR. Part of such an agreement must be that the cloud provider provides all information necessary to demonstrate compliance with the requirements.

 

Proof by certificates

 

Of course, for you as a cloud user, it is difficult and almost unacceptable to check compliance with these requirements yourself. It is helpful that cloud providers can use an “approved certification process in accordance with Article 42 to demonstrate compliance with the above requirements. Although no “approved” certificate is yet available, this does not mean that certificates specifically aimed at the requirements of the GDPR cannot already be used as proof of GDPR conformity.

 

For example, the Trusted Cloud Data Protection Profile (TCDP) was developed with respect to the GDPR. Certifications according to the TCDP should be converted into certificates according to the GDPR standard after the extension of the procedure and standard test. With the research project “AUDITOR” there is also a follow-up project to the TCDP, whose goal is the conception and implementation of an applicable EU-wide data protection certification of cloud services. The first catalog with certification criteria should be completed by the end of April 2018.

 

So, if you choose a cloud service that is TCDP certified, you’re already on the safe side; From the deadline of May 25, you should additionally ensure that the conversion into a certificate according to the GDPR standard actually takes place or that the service proves compliance with the GDPR with another suitable certificate.

2017 Digital Evolution Report – CyberCrime, Digitization, Blockchain and Artificial Intelligence

Cyber-crime, Smart-Cities, Digitization, Blockchain and Artificial Intelligence are those words which really got the hype on the platform of IT in 2017. Cybercriminals have smacked many companies many times. Digitization is progressing despite lame internet connections. Blockchain became Gold Chain and Artificial Intelligence is experiencing an incredible revival.

Key Technologies 2017

Ransomware: The ransom and the cyber blackmailer

 

Ransomware remains a leader in digital security threats. According to ITRC Data Breach report, in 2015 more than 177,866,236 personal records exposed via 780 data security breaches, and the previous mentioned number lift up to 30% in 2016 with security breaches arising on multiple fronts, companies, healthcare systems, governmental and educational entities, and individuals started to realize how real the threat of cybersecurity attacks was. 2017 so far, was a very highlighted year for cyber-crimes. 519 Cyber-attacks were placed from Jan 2017 until September 2017 affecting financial sectors, health-care sectors, gaming companies, containing information about credit cards, health data of billions of people around the world. With all these attacks phishing, spying on webcams or networked household appliances (IoT) remain risky.

 

Very popular in this year’s cyber attack list are the #wannacry and Equifax data breach attacks. These attacks unbaled 300000 computer systems for 4 days and affected financial data on more than 800 million customers and 88 million businesses worldwide and more than 45% of all detected ransomware.

Cyber policies are currently very much in vogue, but in which cases of damage do these insurances actually comes in? ABA, American Bankers Association, explains how companies should best go about finding a suitable policy and what makes good cyber insurance.

 

The General Data Protection Regulation (GDPR): What needs to be changed?

 

Companies only have a few months left to prepare for the new European #DataProtection Regulation. On 25 May 2018, all companies managing personal data of citizens of the European Union will be required to comply with the new regulations and requirements of the General Data Protection Regulation (GDPR).

This regulation will impose significant new obligations on companies that manage personal data, as well as severe penalties for those who’ll violate these rules, including fines of up to 4% of global turnover or € 20 million highest amount being withheld. But what is to change concretely? Here is a “Guide to compliance with the EU GDPR” and a framework to become step by step GDPR-fit.

 

Digital Transformation: Slow Internet connections as a brake pad

 

Digitization is progressing, but most users still complain about slow Internet connections. Despite the 7th place in the worldwide internet ranking, Belgium is still far behind the world’s fastest internet country. Notwithstanding all the shortcomings of the national IT infrastructure, companies are dealing with the technical and organizational challenges that result from the digital IT transformation.

 

The crazy rise of Bitcoin

 

In the period of a year the value of bitcoin has been multiplied by ten. A bitcoin was worth “only” 1000 dollars on January 1, 2017 … and 8000 dollars ten days ago. In April 2017 Japan officially recognised bitcoin and virtual currencies as legal methods of payment. You should know that Bitcoin represents less than 50% of the money supply of all cryptocurrencies in circulation. this is partly explained by the network situation and the rise of the Ethereum currency. Even if bitcoin is a legal in the vast majority of countries around the world, only a few governments have recognized the legal status of bitcoin in a particular regulatory manner.

 

IoT Projects: The 5 Biggest Mistakes and the Five Steps to Success

 

Closely linked to Digital Change is Internet of Things (IoT) and Industry 4.0 projects. Pioneers already pointed out the four biggest mistakes in IoT projects. If a company wants to exploit the potential of the IOT, it means a lot of work and often frustration – the technical, commercial and cultural challenges are manifold. Until an IoT solution is successfully established on the market, many decisions have to be carefully considered.

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But how does an IoT project succeed? Four steps are needed to make an IoT project a success.

 

Blockchain: The new gold chain

The blockchain is a much-debated technology with disruptive potential and three key characteristics: decentralization, immutability, and transparency. It could help to automate business processes, increase the security of transactions and replace intermediaries such as notaries or banks. Blockchain turns out to be the silent revolution that will change our lives. On top of that, it can turn into a gold chain for early adopters.

 

Cloud: Companies use public cloud despite security concerns

For years, companies have avoided the public cloud, as it is difficult to get a grip on in terms of security. However, this year, companies in the EMEA region increased their investment in the public cloud despite ongoing security concerns and lack of understanding of who is responsible for data security. However, caution is still needed to provide attacks such as wannacry.

 

Artificial intelligence

In 2016, Gartner put artificial intelligence and advanced machine learning in first place in its forecast for 2017, stating that this trend was really pronounced during 2017. Briefly 80 % of companies have already invest in Artificial Intelligence (AI). Nevertheless, one out of every 3 deciders believes that their organization needs to spend more on AI technology over the upcoming years if they want to keep pace with their competitors. Artificial intelligence penetrates into all areas of life. But how does it work?

One example is the automated and personalized customer approach to AI. With personalized campaigns and individual customer approach, the marketing of the future wants to win the battle for the buyer. As a rule, the necessary data are already available in companies, but the resources and software tools for their profitable use are not.
In 2018 Businesses will have an availability of AI-supported applications and should therefore focus on the commercial results achieved through these applications that exploit narrow AI technologies and leave the AI in the general sense to researchers and writers of science fiction;

 

The future of the human worker

AI systems can be used without a doubt. The world is becoming increasingly complex, which requires a thoughtful and wise use of our human resources. This can support high-quality computer systems. This also applies to applications that require intelligence. The flip side of AI is that many people are scared about the possibility of smart machines, arguing that intelligence is something unique, which is what characterizes Homo Sapiens. Not only that but many people still think that Artificial intelligence is the new threat to employment. It will replace the man and steal all the jobs. And they thinks that the future is dark.

Yet technological progress has never caused unemployment. On the contrary, since the industrial revolution, employment has multiplied. But, always, with each progress, fears resurge. Today, it is artificial intelligence that scares, or is used to scare. Economic history, and economic science therefore invites us to remain calm in the face of technological progress in general, and artificial intelligence in particular. By allowing the invention of new things to be exchanged, by stimulating entrepreneurship, it is not a danger but only an opportunity.

 

DATA based business models

Data Driven Business Model puts data at the center of value creation. This central place of data in the Business Model can be translated in different ways: analysis, observation of customer behaviour, understanding of customer experience, improvement of existing products and services, strategic decision-making, and marketing of data.

These data can be gathered from different sources, generated directly by the company, processed and enriched by various analyses and highlighted by data access and visualization platforms. Once data is collected, It’s essential to manage the multiple sources of data and identify which areas will bring the most benefit. Tracking the right data points within an organization can be profitable during the decision-making process. This allows an organization’s management to make data-driven decisions while amplifying synergy within the day-to-day operations.
As for revenue models, these can be based on a direct sale of data, a license, a lease, a subscription or a free provision financed by advertising.

 

6 Tips for Deploying #CustomerService in the #Cloud

One of the biggest challenges facing companies is figuring out how to assist consumers, in an innovative and better way, in an environment where customer engagement is rapidly variable. Implementing a successful customer experience strategy means organizations need to be responsive enough to serve customers on their own terms across the entire customer experience lifecycle. Therefore, shifting customer service to the cloud in the form of a contact centre offers many advantages, especially for fast-growing companies: from flexible sourcing models to a low burden on their own IT and high scalability.

Cloud customer service maturity model

This is immensely important, especially in the case of occasionally high loads, for example in the customer service of mobile service providers in case of a network outage or in e-commerce on Black Friday in e-commerce. When choosing a contact centre solution from the cloud, companies should consider these six criteria.

 

  1. Distributed Micro-services Architecture for Independent Clients

 

Although old cloud applications are, most of the time, multi-client capable, they are often designed as a set of interdependent components. Often, an error in one of the components also results as an error in other components. In a kind of chain reaction, several clients can fail – or in the worst case – all at once. To avoid this, a cloud solution should divide its functionality into many micro-services that is able to work independently of each other. For example, one micro-service handles voicemail messages while another distributes incoming calls. In addition, the micro-services are scalable independently. If a client needs to send a million e-mails at short notice, the capacity of the micro-service is automatically increased to handle this load without affecting the functionality of other clients. In addition, cloud solutions can be continuously updated with such an architecture, bugs can be quickly removed, and new features can be quickly imported without – as with conventional systems – having an effect on other system modules or clients. The entire platform can continue to be actively used by all users.

 

  1. Accessibility of important functions even without Internet

Customers today expect constant accessibility from their service centre and have no understanding of IT outages. Especially with cloud applications, the services must be reachable, even if the internet connection is interrupted there. This is possible, for example, via local components in the corporate network, which maintains basic applications such as a PBX telephone system, Interactive Voice Response (IVR), Automatic Call Distribution (ACD) and other functions even without an Internet connection.

 

  1. Integration into existing IT

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One of the big challenges of Cloud Contact Centres is the integration into the existing IT infrastructure. Often, users need to hold multiple passwords and login multiple times. Another obstacle is often the lack of synchronization with other systems such as Active Directory and Exchange. As a result, employee accounts must always be created, deleted and managed separately. In addition, integration with customer relationship software (CRM), such as Salesforce, often requires customization of the contact centre software and experiences additional costs with each software update.

A cloud-based contact centre solution that communicates with the company on the basis of certificates and encrypted networks can help here. With ready-made plug-ins for the most common systems, it can be synchronized with an Active Integrated Directory, Exchange, SharePoint, Salesforce, SAP, SQL Server, Oracle, and many more. The overhead is reduced and all data is always up-to-date and easily accessible to contact centre employees, whether they are in the enterprise network or in the cloud.

 

  1. Easy and fast configuration

Contact centres from the cloud are also attractive for small and mid-sized businesses, which can save significant IT resources. However, these companies often need to be extremely flexible and can quickly deploy new solutions. Also for companies that want to grow strongly, a cloud solution is suitable: New locations or even newly acquired companies can be quickly integrated into the network. With a cloud solution, all features are available over the Internet, eliminating the need for costly MPLS connectivity or local enterprise network installations.

 

  1. Independence from a fix location

The workplace of the future is more likely to be part of classic offices. According to a Bitkom survey, a good four out of ten companies (43%) expect the proportion of home office employees to continue to rise over the next five to ten years. Business software should, therefore, be reachable from any location via a web interface and an internet connection. Multinational companies also need a multi-language version and compliance-compliant data management.

 

  1. Multiple security systems

Especially with cloud applications, there are still numerous concerns about security issues, which puts breaks in use of cloud computing. In order to promote cloud use in Europe, the European Union Agency for Network and Information Security (ENISA) has published a guideline for assessing security risks and data protection. These ENISA recommendations provide a very good orientation for quickly, inexpensively and professionally finding a secure cloud provider that adequately implements existing security concepts.

Cloud providers are also helping to address the concerns and benefits of cloud solutions. Modern cloud solutions work end-to-end with encrypted data so that no outsider can access or hack them. Also, such solutions provide the option for more secure access to sensitive corporate data that resides not on the cloud but on the corporate servers.

Companies that consider choosing a cloud contact centre solution that meets their needs with these six criteria are able to provide consistently good service to their customers, make for happier employees, stay agile and are well prepared for fast growth. And when done right, however, the enterprise can have a unique customer culture and a sustained competitive advantage over the long-term.

#CloudComputing: Fix The Present Before You Plan The Future

Cloud computing is leading to a major transformation in the terms of digital technology by companies in all economic sectors. The associated challenges relate not only to activity and job creation among digital players, but also to a competitive gain that can be realized by all user companies.

 

The cloud computing model consists of providing remote and on-demand computing resources, infrastructure, platforms or application software. The advantages in terms of cost reduction and ease of access lead to this rapid adoption, which results in a gradual but decisive change in the information systems, activities and related markets.

 

However, complexity and lack of integration is slowing down companies’ adoption of the cloud, according to a study conducted by Oracle on the EMEA area. The wide gap between central IT and the rest of the organization is directing many companies towards a bad approach of the cloud.

 

While many European companies are adopting the Cloud Computing, nearly half of them are facing difficulties due to increased integration costs and data storage. One of the main reasons for this situation is that more than 60% of a company’s total IT spending is now directly managed by the different business units, instead of IT department, which prevents companies from benefiting from cloud services to which they subscribe to. To avoid these problems, IT department must be the one responsible for providing the funds to keep other departments running. Because the budget is an important tool for identifying and executing the IT initiatives that are crucial to each department, therefore it should be well discussed between IT department together with CIOs.

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Study also revealed that organizations continue to finance their IT investments without taking into account potential revenue and innovative projects: 2/3 decision-makers claim that funding their IT is too traditional and penalizes innovation, and 1/3 decision-maker admit that the IT funding models of their organization are hindering IT innovation. As IT budget can be divided across various categories, depending on the complexity and sophistication of your company/department and its structure, it must reflect benefits of IT strategy. For example, if you’ve been communicating a strategy of migrating to the cloud and highlighting the operational savings, you should reflect those advantages and use them as justification for budget allotment.

 

Companies need to rethink their IT financing models and undertake a profound cultural transformation in order to fully exploit all the benefits of the cloud. 33% of respondents say that an inadequate model of IT funding is currently penalizing their business. 33% are also convinced that their company’s IT culture is insufficient for the cloud age. As a result, 72% of respondents say that a new cloud financing model will allow IT to offer more cloud services to the company, and 70% say it will allow the company to reduce its costs.

 

Problems that companies are facing in cloud computing adoption are less about technology but it’s about the difficulties of synchronization between the different business units. Managers of each department are increasingly making cloud purchasing decisions without involving the CIO or the IT department advice, especially because these purchases are very easy to make. So to be successful with digital business transformation and optimization, CIOs and leaders must brainstorm and communicate the strategy to allow IT spending and functional resource costs to be connected to business processes, outcomes and goals. By developing multiple views of the IT budget and resource allocations per department they can provide a better IT service supply on demand.

Survey: Is #CloudSecurity Still a Concern in 2017

The need to run Business more efficiently, improve time-to-market and enhance user experience is driving more and more enterprises to embrace the cloud as part of their IT strategy. You must note that “Cloud” still has many different meanings; IaaS, SaaS, PaaS and so on. Equally interesting is the fact that enterprises today deploy a variety of cloud delivery models to restructure processes and increase agility. IT teams usually have good visibility into and control over their on-premise networks. But when it comes to cloud environments, it’s not as easy to see and react to threats. Regardless of how your organization defines “Cloud”, it’s important to make sure your security can adapt to your organization’s cloud strategies.

 

57% of companies remain skeptical about the security of migration to cloud environments. The loss of “physical control” of data remains a major concern. Companies are still suspicious about the risk of switching from traditional computing to cloud computing environments, reveals a new study by Forbes, which also mentions that the massive trend is towards migration to the cloud.

Cloud Security

The survey reveals that even if the cloud is not a new technology, this market still has a strong growth potential, if security is strong. Forbes says that 65% of companies remain skeptical about the security of migration to cloud environments. Specifically, 40% of companies are concerned about the loss of “physical control” of the data involved in cloud computing.

 

The study also finds that companies seem more comfortable with hybrid cloud deployments in this period of migration to the cloud. 44% of organizations prefer this method. In addition to that, Hybrid cloud adoption grew 3X in the last year, increasing from 19% to 57% of organizations surveyed. Private clouds also seem to be a safer option for many.

 

Think Security Upstream of Cloud Migration Projects

Security Threat in clouds
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At the top of the cloud migration concerns, unauthorized access ranks first among 61% of respondents in the study. For 52% online piracy is a second fear.

Cloud security risks are on the top of the barriers list of cloud adoption (33%). The most dramatic shift is the lack of staff and expertise to manage cloud security (28%) – moving from #5 to #2 and trading places with legal and regulatory concerns (24%) as key barriers to cloud adoption.

 

Finally, it is noted that companies are increasingly considering enhancing the security upstream of their cloud deployments, with a focus on new internal policies. 56% of respondents said they plan to improve identity management and authentication. 51% of companies use encryption to go to the cloud. Finally, 45% of medium and large companies plan to implement audits as part of a migration to the cloud.

 

Only 13% of companies still reject the idea of ​​moving to cloud computing infrastructures. But 30% admit that if they perceive that security is improving, they may reconsider their point of view. While process efficiencies and network agility are key cloud drivers, enterprises of all sizes continually cite cloud security as their top concern. Despite this, cloud adoption continues to rise.

 

Cloud adoption certainly provides many benefits, but enterprise security needs to adapt to this new environment. The end goal of a cloud security strategy must be to permit organizations to realize the full benefits of the cloud without letting security slow them down.

*For the survey, more than 600 IT professionals worldwide, in various sectors, were selected.

Public, Private or Hybrid Cloud – How to make the right choice?

Cloud computing is a booming industry and has significant economic benefits, including better efficacy of IT and computing needs scalability. Cloud computing concept has clearly shifted from buzz to business and in so doing, has transformed the nature of IT service delivery. Just look at the numbers, according to Gartner, the cloud software market reached $209.2 billion by 2016 and is projected to grow to total $246.88 billion, not to mention the billions of dollars that will be invested in infrastructure to support private and hybrid clouds.

Cloud Service Forecast Fartner

The three types of cloud – private, public and hybrid – are generally grouped under the banner of cloud computing, but they are actually different. Choosing the right cloud can be a challenge to outsource applications, data and services. For the organizations, the decision to use -private, public or hybrid- cloud depends on the services they use and their ability to integrate the chosen model.  But before moving their critical systems within the cloud, a question always comes up within the IT and management team, “What option do we have to opt for Public, Private or Hybrid Cloud?”

 

Each type of cloud has its advantages and disadvantages, which make it the best or the worst solution for a given company, situation or application. Similarly, each has an impact on application and network performance, which must be taken into account before implementation. So, let’s examine each type of cloud.

 

Public Cloud

In a public cloud, services and infrastructure are provided off-site, over the Internet. This means that companies are not looking for a very specific kind of infrastructure and can subscribe and start using storage, processing and other services immediately, via an online portal.

Therefore, the public cloud flexibility and ease-of-use, make it an ideal solution for companies that need to rapidly launch a service in the marketplace, have few regulatory constraints and use data that does not require a close integration with other parts of the company.

However, concerns remain about security, the protection of confidential information and the control of data in a public cloud. Another major problem is performance. Transferring services to a public cloud means accepting that business applications are run from anywhere in the world, regardless of where the service provider’s data center is located.

Most public cloud service providers do not indicate the location of their data center in their general terms and conditions, which gives them blank card to move workloads to reduce their operating costs. In short, the distance to be covered and the time needed to access applications can increase significantly for all users of the company. More surprisingly, these distances can change in an unpredictable way.

 

Advantages of Public cloud:
• It can be used instantly and accessible to all budgets.
• It is suitable for development and experimentation.
• The public cloud is perfectly “elastic” in order to adapt to the increasing needs of a company.

 

Limits of Public cloud:
• The public cloud, although flexible, is not necessarily adapted to all the needs of a company, not being tailored like the private cloud.
• The more you use the public cloud, the more expensive it is;

 

 

Private Cloud

With a private cloud, organizations own and operate internal IT services that host critical internal applications and data within the firewall. However, they can transfer workloads from one server to another in case of peak usage or when deploying new applications. It can be preferable solution for those organizations who have not embraced the public cloud as quickly for critical applications and data due to security requirements, integration issues, and concerns about availability. It can also be a very attractive proposition for companies in sensitive and highly regulated sectors, such as pharmaceutical or financial services. Similarly, many companies still prefer the private cloud for their critical data because it provides total control over data and applications. This eliminates concerns about data security and control, but it is more difficult to adapt to changing needs.

Private clouds also enable IT departments to better leverage their existing infrastructure. Typically, when deploying a private cloud, companies consolidate distributed computing resources and virtualize them in the data center. The IT department can manage them more cost-effectively while providing services faster.

However, it is a double-edged sword, because deploying a private cloud can put a strain on existing resources and work processes. When IT departments consolidate resources, applications and data generally move away from many users. Employees need to travel a longer distance on the WAN to get the information they need. The resulting latency can often radically reduce the performance and productivity of the enterprise.

 

Advantages of Private Cloud:
• It is tailored to your needs and your infrastructure
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Limits of Private cloud:
• This is a costly investment, and depreciation must be expected.
• The time required to adapt the size of the infrastructure to the needs of the company may be too long compared to the speed of the infrastructure.

 

Hybrid Cloud

In many cases, the hybrid cloud offers the best of both technologies. It becomes the norm because it allows companies to alternate between the two models depending on the conjuncture.

By splitting elements into a hybrid cloud, companies can keep every aspect of their business in the right environment. However, the merging of the public cloud and the private cloud poses an additional problem: the integration of services becomes more difficult because there is a loss of data consistency. This results in additional management, as well as potential differences in the interface, security, processing and reporting systems that need to be addressed.

As a composite architecture, the hybrid cloud has a dual implication, exposing networks to the potential impacts of deploying a public cloud and deploying a private cloud: applications delivered via a Public service are still likely to be located anywhere in the world, while private cloud applications are still consolidated in a small cluster of data centers, resulting in a potential blockage affecting network operation.

 

Advantages of Hybrid cloud:
• Each data item is naturally stored in the most appropriate Cloud environment.
• This solution combines the major advantages of the public cloud (flexibility, speed of implementation, development and experimentation) and those of the private cloud (security and total control of data).
Limits of the Hybrid cloud:
• This solution is however exposed to the disadvantages of the different types of Cloud and the risks during the deployment of each Cloud solution.
• The use of two different cloud types increases the management required

 

Accelerating cloud services

 

Whether a company choose a private, public cloud service or (most likely) hybrid cloud approach, WAN optimization allows it to take advantage of cloud computing offerings in terms of cost, economies of scale and ease of management while attaining the levels of performance and visibility needed to ensure the productivity of its staff.
Given the take-off speed of cloud computing, sooner or later, more companies will have to consider the benefits it can bring. Companies need to evaluate the cloud model that suits them best, but whatever model is chosen, a thorough understanding of the impact of each cloud service type on their IT infrastructure and topology is essential to ensure that it will result in no degradation of performance for users.

 

Do you have a Cloud project? Contact-us and we will support you to evolve your IT architecture by integrating a Cloud component.

#SaaS and European Legislation on #DataProtection

This article presents a summary of the legislative and regulatory aspects that European companies must take into account when choosing a SaaS provider. Particularly in terms of #DataProtection. When choosing a SaaS provider, companies must implement a checklist with controls and negotiations that they would apply if they work with a relocated service provider for their IT operations.

EU-Data-Protection-Regulation

The main features of Software as a Service are as follows:

 

– The user accesses the application via the Internet.

– The cost depends on the actual consumption of the service (software).

– The supplier of the application (software) is responsible for its maintenance and availability.

 

Typically, when a European company adopts a cloud service, it’s responsible for how the SaaS provider processes its data, not the other way around. Due to some uncertainty, as to how and where the SaaS provider will store the data, there is a risk that it may overstep on its customers national or European regulations, which impose strict controls on the processing data of outside the European Union.

 

In SaaS solutions, the client company data is stored on the servers of the provider. This may include personal data or sensitive data such as health data. This relocation of the data implies respecting their confidentiality and ensuring their safety. The contract must frame the risks and remind everyone of their obligations.

 

In accordance with the 1995 European Data Protection Directive, which was transposed into the national law of 27 EU Member States, the transfer of personal data outside the European Economic Area (EEA), including the countries of the European Union (plus Iceland, Liechtenstein and Norway) is prohibited unless certain conditions are met. By transfer, the Directive implies that the data will be processed in one way or another in a non-EEA country; On the other hand, the transit of data via these countries is authorized.

 

For Directive, personal data is equal to any information concerning an identified or identifiable natural person. This broad definition may include various information about a person, such as name, address, IP address, or credit card information.

 

Cloud Computing = Outsourcing?

 

Outsourcing is the well-known method whereby a third party supports one or more company functions, which often lack resources (time, expertise or both). It is common, for example, to outsource a project that requires an increase in resources or a function that will no longer be useful once the project is completed (one-time need for development, software integration, etc.).

 

With cloud computing, companies do not realize that they need to take the same precautions as outsourcing. Personal data may be transferred outside the EEA if they are processed in a country on the European Commission’s list of countries or territories which provide adequate protection for personal data. (Visit the European Commission website to check countries list ).

 

The United States is not on the list of countries approved by the Commission, but data can be transferred to US companies that have signed the Safe Harbor agreement requiring them to apply seven principles for the processing of information under the supervision of the Federal Trade Commission.

 

If a country is not on the European Commission’s list of approved non-EEA countries, companies or service providers may take other measures to provide suitable protective policies for personal data and enable their transfer.

 

The security of the SaaS provider must be evaluated by the companies

 

In addition to these measures, companies considering SaaS and wanting to avoid the failure to comply with #DataProtection laws generally have to prove that they have evaluated the safety of the supplier and specified measures to protect personal or other sensitive data processed by the supplier.

 

These measures may include asking the supplier a security evaluation from a third party, requesting that the data must be encrypted during transit, checking the provider’s data retention and destruction policies, setting up audit trails or the data and obtain information about any third-party company with which the supplier could share data.

 

With that being said, companies should not just look at data protection legislation when they want to adopt SaaS. Thus, national laws on financial legislation in EU countries limit the places where companies can store financial information. For example, European companies must keep electronic invoices for five to ten years. In addition, amendments to the European Council Directive 2010/45 / EU stipulate that this information must be stored on servers located either in the country of establishment of the undertaking or in a neighboring country providing access to the relevant tax authorities.

 

Confidentiality of Data

 

The confidentiality of data hosted in Cloud is today the most important of the brakes for the companies wanting to use this service. The standard of confidentiality becomes very important when the hosted data presents a strategic content for the company or when it can be considered as personal data.

 

The confidentiality of the data may be called into question by members of the service provider or the client company, as well as by a person totally outside these services. It is therefore necessary to put in place, a high level of security, for access to these data, especially if they are accessible via the Internet. The confidentiality of data can also be undermined by regulations applicable to the claimant, especially if the applicant is domiciled in the United States.

 

As the SaaS market matures, it is becoming increasingly simple to use these services without fear of breaking the law. Over the years, we have seen the evolution, the contracts have grown and different models have been set up on both the customer and the service provider’s side.

 

Source: 

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IT Challenge n°2: Rise of new Partnership Models

 

 

2020 companies will be totally interlinked organizations within an ecosystem in which new strategic partnerships and associations will be formed, as well with customers, suppliers and competitors!

 

A profound transformation of the ecosystem

The growth of value creation is a major trend in digital era. We witness more and more companies opening up, thanks to the multiplication of the interactions allowed by cloud, data repositories, connected objects … This condition requires companies to rethink their business partnership strategies within their ecosystem in order to succeed in the age of digitization.

This ecosystem is very extensive, with an interesting diversity of actors, such as, GAFA (Google, Apple, Facebook, Amazon), start-ups, innovative SMEs, communities, customers, employees, self-entrepreneurs, suppliers, public and local authorities and political institutions… In the era of “co-something”, a company can no longer succeed alone in its market, particularly because of the rapid emergence of new business models, competitors “out of nowhere” and an accelerated renewal technology.

 

The challenges: anticipate and ally

Controlling the ecosystem depends on anticipating the evolution of it’s different actors, to be noted that actors in the traditional IT are not necessarily those of the current ecosystem, nor, of tomorrow. Some will disappear or merge, others will emerge, many will become partners.

Establishing a good relationship with the right partner, which can be a supplier, requires joint sharing of opportunities and risks, commitment to common goals, and shearing value. And this sharing of value aims to bring something new and positive to the partners, and ultimately to help them grow. Strategic partnerships can be established when there are common objectives for value creation. With this perspective, the partnership is strategic and is quite different from the traditional customer-supplier relationship (even major), in which the parties are bound by a contract for the providing services.

The objectives of each party must be the same and the balance of the relationship arises precisely because of that different but valuable opinions and ideas.

 

Challenges: Negotiation and Confidence

  • Collaborate: one of the typical challenges of partnerships will be to manage the paradox between internal resources (including CIOs) that are experiencing difficulties and struggles, collaborating and, on the other hand, the market, which requires close collaboration to better innovate.
  • Dialogue: companies are confronted with a cultural interoperability challenge in order to engage all the actors involved, even if they do not share a common language.
  • Establishing trust: a partnership relation is always based on trust. Thus, it is not a question of “collaborating to collaborate”, but of collaborating to win together, in order to create communities that engage clients and collaborators.

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R-Link is the result of a long-term partnership between Renault and Tom-Tom. R-Link is an integrated multimedia tablet, driven by a tactile control or an advanced voice command. It combines, the various functions related to multimedia in the car such as, navigation, radio, telephony, messaging, well-being, eco-driving. Renault’s interest in combining with Tom-Tom was to increase the value for its customers, to know them better and to improve the level of service.
This example illustrates the idea of a service platform: Renault added services to its products by developing the customer experience.

 

To conclude, I’ll say that the success of these new partnership model depends only on the business taking much greater role in designing, building, and exploiting the technology, platforms, and data it needs to succeed. Overcoming challenges of traditional IT management is a step forward of bringing IT closer to its true mission and succeeding in all IT collaborations.

Big Data: 2017 Major Trends

big data trends 2017

Over the past year, we’ve seen more and more organizations store, process and exploit their data. By 2017, systems that support a large amount of structured and unstructured data will continue to grow. The devices should enable data managers to ensure the governance and security of Big Data while giving end-users the possibility to self-analyze these data.

Here below the hot predictions for 2017.

 

The year of the Data Analyst – According to forecasts, the Data Analyst role is expected to grow by 20% this year. Job offers for this occupation have never been more numerous before. Similarly, the number of people qualified for these jobs is also higher than ever. In addition, more and more universities and other training organizations offer specialized courses and deliver diplomas and certifications.

 

Big Data becomes transparent and fast – It is obviously possible to implement machine learning and perform sentiment analysis on Hadoop, but what will be the performance of interactive SQL? After all SQL is one of powerful approach to access, analyze, and manipulate data in Hadoop. In 2017, the possibilities to accelerate Hadoop will multiply. This change has already begun, as evidenced by the adoption of high performance databases such as Exasol or MemSQL, storage technology such as Kudu, or other products enabling faster query execution.

 

The Big Data is no longer confined to Hadoop – In recent years, we have seen several technologies developing with the arrival of Big Data to cover the need to do analysis on Hadoop. But for companies with complex and heterogeneous environments, the answers to their questions are distributed across multiple sources ranging from simple file to data warehouses in the cloud, structured data stored in Hadoop or other systems. In 2017, customers will ask to analyze all their data. Platforms for data analytics will develop, while those specifically designed for Hadoop will not be deployable for all use cases and will be soon forgotten.

 

An asset for companies: The exploitation of data lakes – A data lake is similar to a huge tank, it means one needs to build a cluster to fill up the tank with data in order to use it for different purpose such as predictive analysis, machine learning, cyber security, etc. Until now only the filling of the lake mattered for organizations but in 2017 companies will be finding ways to use data gathered in their reservoirs to be more productive.

 

Internet of Objects + Cloud = the ideal application of Big Data – The magic of the Internet of Objects relies on Big Data cloud services. The expansion of these cloud services will allow to collect all the data from sensors but also to feed the analyzes and the algorithms that will exploit them. The highly secure IOT’s cloud services will also help manufacturers create new products that can safely act on the gathered data without human intervention.

 

The concentration of IoT, Cloud and Big Data generates new opportunities for self-service analysis – It seems that by 2017 all objects will be equipped with sensors that will send information back to the “mother server”. Data gathered from IoT is often heterogeneous and stored in multiple relational or non-relational systems, from Hadoop cluster to NoSQL databases. While innovations in storage and integrated services have accelerated the process of capturing information, accessing and understanding the data itself remains the final challenge. We’ll see a huge demand for analytical tools that connect natively and combine large varieties of data sources hosted in the cloud.

 

Data Variety is more important than Velocity or Volume – For Gartner Big Data is made of 3 V: Large Volume, Large Velocity, Large Variety of Data. Although these three Vs evolve, the Variety is the main driver of investment in Big Data. In 2017, analysis platforms will be evaluated based on their ability to provide a direct connection to the most valuable data from the data lake.

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Spark and Machine Learning makes Big Data undeniable – In a survey for Data Architect, IT managers and analysts, almost 70% of respondents favored Apache Spark compared to MapReduce, which is batch-oriented and does not lend itself to interactive applications or real time processing. These large processing capabilities on Big Data environments have evolved these platforms to intensive computational uses for Machine Learning, AI, and graph algorithms. Self-service software vendor’s capabilities will be judged on the way they will enable the data accessible to users, since opening the ML to the largest number will lead to the creation of more models and applications that will generate petabytes of data.

 

Self-service data preparation is becoming increasingly widespread as the end user begins to work in a Big Data framework – The rise of self-service analytical platforms has improved the accessibility of Hadoop to business users. But they still want to reduce the time and complexity of data preparation for analysis. Agile self-service data preparation tools not only enable Hadoop data to be prepared at source, but also make it accessible for faster and easier exploration. Companies specialized in data preparation tool for Big Data end-user, such as, Alteryx, Trifacta and Paxata are innovating and consistently reducing entry barriers for those who have not yet adopted Hadoop and will continue to gain ground in 2017.

 

Data management policies in hybrid cloud’s favor – Knowing where the data come from (not just which sensor or system, but from which country) will enable governments to implement more easily national data management policies. Multinationals using the cloud will face divergent interests. Increasingly, international companies will deploy hybrid clouds with servers located in regional datacenters as the local component of a wider cloud service to meet both cost reduction objectives and regulatory constraints.

 

New safety classification systems ensures a balance between protection and ease of access- Consumers are increasingly sensitive to the way data is collected, shared, stored – and sometimes stolen. An evolution that will push to more regulatory protection of personal information. Organizations will increasingly use classification systems that organize documents and data in different groups, each with predefined rules for access, drafting and masking. The constant threat posed by increasingly offensive hackers will encourage companies to increase security but also to monitor access and use of data.

 

With Big Data, artificial intelligence finds a new field of application – 2017 will be the year in which Artificial Intelligence (AI) technologies such as automatic learning, natural language recognition and property graphs will be used routinely to process data. If they were already accessible for Big Data via API libraries, we will gradually see the multiplication of these technologies in the IT tools that support applications, real-time analyzes and the scientific exploitation of data.

 

Big Data and big privacy – The Big Data will have to face immense challenges in the private sphere, in particular with the new regulations introduced by the European Union. Companies will be required to strengthen their confidentiality control procedures. Gartner predicts for 2018 that 50% of violations of a company’s ethical rules will be data-related.

 

Sources:

Top 10 Big Data Trends 2017 – Tableau

Big Data Industry Predictions for 2017 – Inside Bigdata

#InternetOfObjects and the Emerging Era of #CloudComputing

Big data and connected objects represent an important source of economic growth according to numerous studies. They open the possibility to connect people or objects in a more relevant way, to provide the right information to the right person at the right time, or to highlight information that is useful for decision-making. Allied to Big Data, connected objects give professionals new opportunities to better understand customer needs and better satisfy them.

 

According to McKinsey, the overall economic potential of the IoT universe could be between $ 3,900 billion (US ‘trillion’) and 11,100 billion per year by 2025! So with 30 billion connected objects by 2020 it’s now necessary, more than ever, to rethink the use of Cloud.

 

The explanation of this boom?
Connected objects are already very widespread and are gradually taking over all sectors. The general public sees it as a way to improve everyday life, while companies are already using it to control and improve industrial processes and propose new services. Cities and vehicles are becoming smart by using different types of sensors.

 

Nearly all manufactured goods entering the market – vehicles, equipment for energy or water supply, health sector equipment, scientific and technical research facilities, machine tools and robots, etc. – all are bound to be connected and, for a good part, to be interconnected.

 

We are only on the premises but very well equipped with advanced technologies, the only thing to do is to imagine their great usage that will respond to every real expectations and will bring real added value. This ability to make our environment much smarter is linked to sensors, to the data collected by these sensors and to the speed of processing of this data. The triangle of Connected Objects, Big Data and Cloud will become essential to transform this universe of connected objects into intelligent systems.

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Future of IOT Data 
The continuous flow of data generated by IOT is challenging the networks. All of these billions of objects that can be interconnected via the Internet are accelerating the real tsunami of announced data. The cloud is a simple and flexible way to deal economically with this mass of data that will continue to grow with time and new uses. And to cope with this huge data, the computing power will have to be adjusted. With the successful adoption of IoT, manufacturers will work on new systems architectures, especially those that are “hyper-integrated”, “hyper-convergent”, and can bring very high performances.

 

Cloud, indispensable for the development of the internet of objects
Connected objects are synonymous with capturing very large masses of valuable data. The gathered information via IoT will have to be stored, transmitted and analyzed for which the choice of Cloud infrastructure is the most appropriate method. Firstly because of the flexibility afforded by this type of offer only a Cloud solution allows real-time adaptation of the infrastructure capacity according to the level of demand. A flexibility for the management of all the connected objects devoted to knowing peaks of load and allows connected devices to interact with powerful back-end analytic and control capabilities. 

Furthermore, this flexibility can play more decisive role for commercial success, a situation in which it is essential to adapt its infrastructure quickly to meet demand. A necessity that affects the companies of moderate sizes seeking to contain their investments in technical infrastructures.

A flexible cloud service for connected devices can facilitate critical business decisions and strategies process by allowing you to connect your devices to the cloud, analyze data from those devices in real time, and integrate your data with enterprise applications, web services etc.

 

New skills and infrastructure needed
Applications linked to IOT are limited only by the human imagination. From automotive to home automation, to medical and healthcare industry, entertainment and education, IOT is pervasive and growing rapidly and transforming all economic sectors. To operate these innovative devices, it will be necessary to develop applications capable of collecting and processing the data that they will generate. The manufacturers of connected objects and the service providers responsible for the management of these applications must therefore provide themselves with appropriate skills and infrastructures.

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