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.

 

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.

Big data innovation in the financial technology

Big data in banking sector

 

Did you knew that In Asia and the United States, It’s possible to calculate, within some minutes, the repayment abilities of individuals and small businesses by using their online public data, available information on their social networks and predictive control algorithm based on online data.

 

A new lending San-Francisco start-up “Affrim” founded in 2013 by co-founder of PayPal Max Levchin, helps e-commerce sites and online shoppers by giving the possibility of monthly payment for their purchases. Affrim offers affordable loans and purchasing advantage to Generetion Y, their target audience, because they use to do everything on digital platforms.

 
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Consumers and small enterprises based in the United States, China, Mexico, Colombia are already able to obtain a loan via their smartphones. “Applying for a loan using Affirm is as easy as putting in a shopper’s name, phone number, birthday and the last four digits of their social security number,” confirm Max Levchin. Thanks to big data, online credit acquisition is the second technological breakthrough after online banking.You must be wondering how does Affirm work? Well Affirm has developed a predictive algorithm which combines Big Data and machine learning based on information provided by the consumer or online information data which evaluates the applicant’s repayment capacity. By having access to all bank accounts of applicants, they are able to recover most part of data. “We’ve paid over $ 500 million and until now we haven’t had any default payment”, says Alan Cooper, head of marketing at Earnest, a startup in San Francisco since founded in 2013 specialized in low-cost lending for personal loans and refinance of student loans.

 

This is no secret that Big Data is being used in almost every sector and companies are getting full advantage out of it. Still now many companies are hesitating when it comes to implant big data, simply because they’re overwhelmed by the process of collecting the data via traditional channels, lack of analytical skills and/or unsure of what specifically they’ll be involved with. But don’t worry; Xorlogics is here to help you, with a 4 years proven experience in the field of Big Data, Cloud Computing, Web applications and Resource Augmentation.

 

Feel free to fill this form and our experience developers will contact you as soon as possible.

 

Women place in the digital industry

Tomorrow it’s 8th March means International Women’s Day. Perfect timing to talk about the place of women in the digital industry!

 BIGDATA WOMEN

Women associations and groups will meet tomorrow to reward them for their digital initiatives. You must be asking what’s the purpose of this event? Quite simple, these associations aim to increase the diversity and solve gender parity.

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Big Data exhibition 2016

Big Data exhibition 2016

CEBIT – Global Event for Digital Business gather more than 500 exhibitors specialized in Cloud Computing, Big Data, analysis and data collection in Germany.

Xorlogics present in this Big Data exhibition invites you to dive into exciting and revolutionary world of Nordberg had a long and impressive bulk viagra uk film career, even being nominated for a Golden Globe award for his performance in Spartacus. #1 Jim Brown – Jim Brown is a member of the Pro Football Hall of Fame and is broadly considered the greatest running back ever. Another study conducted by researchers described that Sildamax 100mg might also provide further medical advantages for users with the various expensive malfunctions and that generic levitra online is why it is highly recommended to talk to a doctor before using anti-ED drug. This may change but usually girls with more of an oval shaped face will not do well in the online viagra india high fashion industry. Emotional and intellectual dilemmas like depression and tension also create a reduction in our libido and these too usually viagra effects women become more of an issue with any of these. data. Book the dates  now or contact us to have your free ticket and participate in the development and revolution of your Digital Business!

We provide you the key insights of Big Data, Cloud Computing, Web Applications and Resource Augmentation.

Big Data, no more a mystery!!

Whenever you hear the word Big Data, have you ever wondered what is it? How and for whom Big Data is used for? Well this article might help you understanding all those unsolved mysterious questions you’ve in your head.

Big data, which is a buzz word of overloaded information, gather a set of technologies and practices for storing large amount of data and analyse in a blink of an eye. Nowadays, Big data is shaking our ways of doing business and it’s gaining popularity.

To describe the functionality of big data, it’s necessary to summarise its key features using 3 “V”:

 

  • The first V stands for the Volume : the amount of data gathered every second is expanding each day. Social networks and E-commerce are the major contributors to the wealth of data.
  • The second “V” stands for Velocity, as you know that speed of data exchanged in a connected world is no longer in doubt. All news and updates are stored in clouds because in big data, “We keep everything”.
  • The last “V” stands for the Variety of data. Specialised databases are able to manage the multiple data formats: digital, text, image…

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Since the digital revolution, the quantity of Data produced each and every day, in or out of an information system, has reached such proportions that it’s difficult to continue to use traditional tools to manipulate the data in an efficient way. Nowadays, most companies are satisfied to produce the same reports by using the small portion of the information produced and gathered in their traditional information system but they are far away from the gold mine of information present on web.

 

Here’s listed some of possibilities offered by BigData:

  • By using the right Data, a company can Improve the customer experience
  • Better understand the behavior of prospects and customers
  • Analyze the behavior of prospects and customers 360: purchases in stores and online, internet surfing habits, preferences indicated on social networks …
  • Anticipate market needs and adapt business strategies

 

If you’ve read this article so far, I’m pretty sure that you are aware that the data has always been a key resource for any kind of businesses, but over the past three to five years, they have gone from “major” status to “critical”. The data and, more importantly, the analysis of data has become a competitive advantage for many industries and businesses.

Ok, that’s interesting, but what does this phenomenon has to do with your business? You are affected if at least two of these statements are true:

  • You work on a sector where information is generated in real time by multitude of sensors, users or customers
  • Your information system is complex, extensive, consisting of several software components
  • Your data isn’t structured
  • Your data isn’t qualified
  • Despite your optimization efforts, your databases are not enough to achieve results within a reasonable time

So if you find yourself in these above statements, it’s time for you to consider a Big Data project.

 

Visit Xorlogics at CeBIT 2016, Global Event for Digital Business, from 14 – 18 and let us show you the world outside of your company’s walls.

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