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About Aisha Javed

Blogger & Online Community Manager at Xorlogics with an excellent familiarity with various Internet resources, expresses a keen desire to learn/excel on Web Marketing for the benefit of the organization.

Big Data, Big Problem?

In order to measure the progress of companies in the exploitation of their customer data, EY surveyed some known European companies. The purpose was to see the difference between the “buzz” generated by the fuzzy concept of big data and the reality of large companies. The results of this survey, conducted among more than 150 European companies, reveal that despite a largely positive perception, the “Big Data” hasn’t really taken place in reality unlike it has to be the case.
Let’s check the list below to know more about these issues that’s coming in the way of companies in order to integrate big data in their strategy.

 

Data collection via traditional channels:

Every businesses and organizations accumulate various type of data, such as financial information related to revenues and expenses, data about their customers, vendors and also about their employees. We’ve noticed that traditional file systems are still used by companies to gather data in order to increase their knowledge, understanding of customers, products and deploy marketing strategies. (Storing data in paper files, folders is a form of traditional system).

 

Unstructured data:

Companies collects huge volume of data and need valuable knowledge extracted from these data to improve their business results, still the survey reveals that 45% of respondents agrees that the data collected isn’t sufficiently exploited and only 27% of companies are equipped to manage and analyze the gathered data from many sources.

 

Analytical skills:

One of the top adoption challenges of big data is obtaining the skills and capabilities to interpret it. EY survey shows that for 70% of respondents, a team of less the 10 employees is dedicated to analyze the gathered data. Only 6% of companies have a staff of more than 50 dedicated people to decode useful information from the data.

 

A lack of data processing tools:

Good thing is that most of these large companies are aware of the progress of these unstructured data. 59% of respondents claim to anticipate an increase in the volume of data reliability within 18 months. At the same time, only 27% of them affirm that they have established internal processes to operate reliable or unstructured data.

 

Analysis of the data still (too) little predictive and real-time oriented:

Only 10% of companies operate their customer data for predictive purposes and 5% of them do it to optimize the technical process or to increase timeliness and increased storage capacities (key elements to exploit growing volumes and ever faster data and information flows).

 

The lack of mainstreaming in project management (Big) data:

39% of the respondents recognize that internal silos remain a drag on the optimal use of customer data. Each business has a habit of using and transforming data from its databases to meet its own goals or business issues, capital data cannot flow in the company, which explains the lack of a unified vision.

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The absence of ROI of Big Data projects:

Only 29% of respondents consider that the Big data is a major milestone and has the potential of big impact on business. As for the establishment of a “Big data Action Plan with concrete actions,” they are only 18% who actually did. Regarding the return on investment in particular, 58% of companies surveyed did not seek to quantify the contribution of solutions to their business performance. Again, the gap is huge between the most mature (77%) and “not mature” (3%).

 

Lack of sponsorship from the managing director:

The lack of ROI measurement, coupled with unfavorable economic conditions explain the caution of most CEO on the subject. The majority of small-medium size companies considered perception of top management as a brake on the optimal use of data within their business, 57% of them, against only 11% for the big size companies.

 

The reluctance to share personal data:

The issue related to data security, in which we can add the protection of privacy is the key to the future of the big data. The study of EY highlights that 70% of consumers are reluctant to share their personal data with companies and 49% say they are less likely to do so in the next five years.

 

Low awareness of safety issues and protection of data:

Among the companies EY surveyed, 30% believe they are not concerned with the protection of privacy issues during the operation of their customer data. 92.3% Companies, identified as the most mature in the Index EY Maturity Data, consider that the issue of protection of privacy is a priority. While for 58.6% of those who have been identified as less mature, don’t care about protection issue.

 

To resume:

Two-thirds of European companies (63%) consider that the big data is a valuable and interesting concept but still too vague, difficult to integrate within companies, in terms of organizational transformation, ROI strategy, management and training skills.

 

Even though big data is the petrol of this century, currently, half of the companies did not even studied any opportunities related to big data. Only 9% of companies surveyed have launched both the big data opportunity to study and put in place a comprehensive strategy to manage their customer data. Half of the respondents acknowledged that the absence of “a clear plan of action that constitutes a road map for the entire company” is an impediment to the optimal use of customer data. 57% of companies consider perception of top management as a brake against 11%.

 

The big data approach can be useful and beneficial for every businesses, but without a solid plan aligned with your business objectives you may miss out an elegant solution with a guaranteed return on investment.

Survey : Big Data and the IoT

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

 

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

 

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

 

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

 

Topics studied in the survey :

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

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Who uses big data?

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

Implementation of Big Data

 

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

Big Data by company size

 

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

Big Data by region

Who uses the Internet of Things?

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

IOT

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

IoT and Big Data

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

 

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

 

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

 

Sources:

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

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.

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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.

 

Sources:

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

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

 

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

 

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

 

BIG DATA

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

 

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

 

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

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

 

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

 

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

 

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

 

What’s the future of Big Data?

 

futur of bigdata

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

 

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

 

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

 

Cloud Computing : Web Services Suppliers Selection by Developers

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

 

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

THE GLOBAL DEVELOPER LANDSCAPE

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

Developpers Revenue

 

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

 

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

 

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

Supported languages

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

 

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

 

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

 

Amazon Web Services-Microsoft Azure-Google Cloud Platform

 

Sources :

Developers Economics – State of Developer Nation

 

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.

 

Sources:

 

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Big Data contribution in Human Resource management

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.

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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.

Things you need to know about ‘The Internet of Things’

internet-of-things-IoT

Everyone has their definition of IoT: for me, for example, IoT is a system of interconnected computing devices via public or private IP. These devices have the ability to exchange, collect, analyze and transfer data according to instructions given to them, over specific network without human interaction.

 

We are living in a world where Internet of Things has caused a massive transformation in our way of living. Our phones, computers, fridge, machines, cars are the existing proof of IoT. Not only in our everyday life but we’ve seen a strong expansion of IoT in all industrial sectors. Furthermore Gartner predicts that more and more industry players advances step by step towards IoT adoption.

 

According to Forbes, more and more appliances are connected to the internet. Even though, in 2008, there were already more devices connected to the Internet than people on Earth, 87% of people ignores exact meaning and advantages of IoT but if we have a moment to look back in time, we can see that the automatic banknote dispensers were considered as the very first IoT devices. They are actually connected to the Internet since 1974 already!

 

Companies are beginning to understand the value of the IoT (return on investment, efficiency, productivity, etc.), so that sales of IoT solutions for professionals will accelerate to the point that companies will become the number 1 market adoption of the IoT. According to Mr Tully Gartner predictions, this year, 4 billion connected things will be use in the consumer sector and will reach 13.5 billion by 2020.

 

Internet of Things Units Installed Base by Category - Gartner

  • Furthermore, some 10 million ‘smart clothes’ would be connected to the internet. Thinking here of clothes able to control your heart beat or know the amount of liquid (sweat) you lose per day / hour.
  • In 2012, only 10 percent of the cars were connected. For 2020, it is expected that 90 percent of cars are connected to the net.
  • A connected kitchen – which maintains the products therein – allows you to save up to 15 percent annually by telling you, for example, the expiry date of products matured stored init.

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The IoT will certainly have a positive impact on economy and it will certainly create new business models. Data gathered in IoT represent a competitive advantage for companies and with the right tools, organizations can maximize their potential.

 

Sources :

 

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.

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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.

 

Cloud computing adoption and growth

Cloud computing -BigData

Cloud computing is an IT approach that relies on shearing computing and application resources over internet rather than having local servers of personal devices to handle applications.

In cloud computing, the word cloud is used as a metaphor for “the internet”, so it’s a type of cloud-internet based computing. This computing approach brings several advantages to organizations by delivering them different services via internet. The most promising advantages are:

 

  • Reduction of maintenance costs of IT infrastructure
  • The rapidity of sharing data with one or more other users of CC. Possibility of creating a collaborative virtual platform
  • A free and open access to the client, which can establish its own connection anywhere and access their data immediately, without going through the establishment of a VPN (virtual private network) in the company.
  • Reduction of energy consumption

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Cloud computing IT infrastructure

In technological terms, 2015 was the year of “cloud”. According to research firm IDC, cloud computing now accounts a third of all IT infrastructure spending. For applications, Forrester suggests that overall worldwide spending on SaaS this year will reach $ 106 billion, about 17% of total spending in enterprise applications.

 

Such high figures demonstrate only the success of cloud computing.  In 2015, we saw the peak of Cloud computing hype with the potential to make any organizations more responsive than ever. The analysis firm Gartner predict how the cloud computing and applications transform enterprise computing in a better way.

 

Today, cloud computing has become essential in the business. The leaders have realized that it is more efficient and profitable for them to assign non-core processes to an external third party providers.

 

Cloud services in their various versions, SaaS (Software as a Service), PaaS (Platform as a Service) offers good opportunities to individuals and companies but still security and privacy continue to be the main inhibitors of cloud adoption because of insufficient transparency into cloud-provider security. Cloud providers need to demonstrate their capabilities to deliver services in a secure and reliable manner.

 

To summarize, We can see that in 2015 Cloud represents a radical change for companies and gain a competitive advantage. In short, more than a buzzword, cloud is a tool that can streamline your business processes and improve them.

 

Sources :

http://zd.net/1KM026q

gtnr.it/1PcuNPP

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