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Domain

How to Increase the Value of a Domain Name

To increase your domain authority is not something that can be done in a few days, it is a medium-term strategy. From the moment you register your domain, ensure that the theme always follows the same line — a domain that radically changes thematically is seen by Google as unreliable and can be penalized. Post new content on a frequent basis which is also useful for the user, increasing the chances of other websites linking that content.

Tips for increasing domain authority now


1. Domain age– The older it is, the more reliable a domain is in the eyes of search engines. If you have been managing a website in your domain for a long time, with which you have gradually gained traffic, for search engines your website is performing the purpose for which it was created, and that has made it a “reliable” site.”

2. The popularity of the domain- The popularity of a domain is measured by the number of websites that link it. SEO and link-building are important factors to determine the reputation of a site and get links back. Getting quality links is one of the most critical tasks to increase your web presence, and you can do it in several ways: writing blogs and articles, commenting on other blogs, writing on forums, press appearances, posting on social networks, etc.

3. Site size– Imagine your website as a tree and your blog posts or individual web pages as the branches of that tree. The more content our website generates, the more likely we are that other users will be able to find this content and that it will linked from other sites. Also, the size of our publication also helps our site to be seen as a purveyor of “quality content.”

Not only does the number of links matter, but they must be high-quality. It is preferable to have a single link from a domain with a high impact, such as a newspaper or a well-known website, than to have several links that come from small and anonymous sites with low results.


How to measure the authority of your domain?



SEO Toolbar MOZ– An extension that you can install in your favorite browser (Google Chrome or Mozilla Firefox) that you can activate to measure the authority of a domain or search in Google, and deactivate when you do not need it (removing fixed bars that occupy an unnecessary space in the browser).

Open Site Explorer– If you do not want to install anything, I recommend that you use this tool that will measure the authority of the domain and tell you the best quality linkage that is contributing substantially to that authority.


Conclusions

  • Having a great domain authority will help you have a good search position for your content.
  • Not all domains of great authority have a great positioning or visibility in the search engine since there are other factors that can make for better or worse SEO; internal links, the health of the back-links, lack of quality content, duplicate content, broken links, etc.
  • The construction of the authority of a website is not built in a day — we have to do it based on effort and work, to gradually reap the results.
  • In order for your domain to have good authority you will need 1 to 2 years, the process can’t be rushed.

The use of social networks can not only help you generate traffic to your website and ensure that the content reaches more users, but it is also another factor that search engines take into account to determine the authority of a domain. If your content is shared and linked by users in different social networks, search engines will interpret that your content is useful and adds value to the user.

One of the best ways to increase the number of times your content is shared on social networks is through videos and infographics that complement your articles. It’s demonstrated that visual content is the one that tends to generate shares in social networks and that results in more virality.

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Data

How Can You Sell More with Big Data?


There have always been analytical data systems, but the fact is that, with the emergence of information technology, we all generate vast amounts of data continuously. Also, we have developed tools to capture data that we do not knowingly disclose, and they are manifold: access controls, access to wifi, email, social networks, geolocation, the use of our phone, Internet cookies, our credit cards and more.  We are generators, conscious or unconscious, of data and more data.


What is Big Data for?


Well, the info that we generate forms a valuable and gigantic data package that, properly analyzed and managed, can give information about our habits, our tastes, our way of buying, our health, our socio-economic position, political ideas, customs, and beyond.

And that information is gold when it comes to being able to understand the consumer, create the profile of the client, create advertising or communication campaigns, improve the service, launch products, improve them or vary their prices.


3 tips to sell more thanks to Big Data

The success of an online store is often due to strategies that allow you to multiply sales opportunities as well as the level of personalization and customer satisfaction.

73% of online shoppers prefer to make transactions on websites that use their data to offer them a more relevant shopping experience, according to Digital Trends. Most visitors prefer to be recognized when it is not the first time they visit a website and appreciate that the offers they propose are related to their tastes, interests and past experiences.

According to mybuys.com, 48% of customers spend more when their shopping experience is personalized in the different channels they use. Follow our advice so that your visitors become customers that you can subsequently retain by taking into account their tastes and expectations.

1. Exploit your store data


What are the products that attract the attention of your visitors? Which ones end up buying?  The control panel will be of great help.

Has a product been consulted frequently but hardly bought? Consider why and draw conclusions. If your prices are not competitive, reduce the margins and propose corresponding items to compensate for the loss, or look for other suppliers.

If an item is particularly profitable; adopt the necessary means to sell more units. Reserve a prominent position for it, incorporate the opinions of customers, put it as part of a pack (consisting of several items sold at a lower price when purchased together) to increase your average basket and publicize other items.

Google Analytics provides you with precious information about your visitors: geographical origin, age, sex. You will also know the way your visitors arrive (Google, Facebook, price comparison, marketplaces, links to other websites, etc.).

To take advantage of this data, create your free account on Google, and then copy and paste the code that you will receive to insert it into the label provided for it in your administration space or codebase.


      2. Take advantage of the cross-channel


E-mailing and newsletter


E-mail is first in advertising support, generating traffic to websites and offers a very powerful virality: 44% of Internet users have already shared offers received by mail, and 28% indicate that they have visited a store after receiving an e-mail from you (Study E-mail Marketing Attitude, 2014).

To get the most out of e-mailing, segment your customer base according to the purchase frequency and the amount of orders.

In this way, you will be able to carry out more effective, specific actions to refine the segmentation through particular offers. Both for a large consumer of products at a moderate price, and a specific buyer of products at higher rates, the analysis of your website’s data will allow you to propose specific offers through channels.

Thus, the objective of Big Data, like conventional analytical systems, is to convert the data into information that facilitates the decision-making, even in real time, of many aspects of the company’s strategy and, specifically, from the marketing point of view. If we know our consumer, we can sell more and target better. Marketing actions will be more effective, and we will be able to measure our investments’ returns much better.

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Data

Challenges of Big Data

For the first time, we can generate databases with tens of millions of entries of users in collective creation processes over the Internet. In turn, we obtain data from a multitude of new sensors, which allow us to collect an increasing number of data that must be processed, structured and managed to transform them into useful information.

There is much to be done, new roads to open — we need to explore innovative paths where business, science, medicine, education, politics, law, and even art collect that massive amount of information and can predict educational trends, treatment of diseases or earthquakes, identify vaccines, monitor new conditions, the optimal amount of electricity we need, or better understand animals and nature, for example.

All this while we continue asking questions about the origin and right of data and information use and the erosion of privacy.

  • Every two days, humanity creates as much information as civilization had until 2003.

  • The amount of average information a person is exposed to in a day is the same as that of a 15th-century person who was exposed throughout his life.

When the volume of data exceeds our cognitive capacity, when the traditional tools do not allow processing all the data obtained, we need new methods that will enable us to transform them into useful information: visual and accessible.


What’s the impact?


Information is part of the planet; it is like a part of your nervous system. We can understand big data as the ability to collect, analyze, triangulate and visualize immense amounts of information in real time, something that human beings have never done before.

This new type of tool – big data – is beginning to be used to face some of the most significant challenges of our planet. The global conversation about usage, the tremendous potential of information, and the concerns about who owns the data that you and I produce.

It is essential to recognize the effect mentioned above, collect and analyze vast amounts of information in real-time, and observe how we can live, interact, and grow in this information environment.

Where are we going?

The digital universe evolves so fast that any advance is obsolete in 18 months, imagine what this means and the impact it has on the planet. Although, for now only large companies like IBM and governments think about the use of big data, it is essential that each of us think about how this will ultimately affect our lives.

Big data has been created to do good. However, it could also have unintended consequences, such as the use of this medium for personal purposes. At this time no law governs big data. All the regulation is being decided by big corporations that use it as they want and maybe when we start thinking about it; it’s too late.

The world may one day capitalize on big data for all, but for now, it is one of the most significant challenges humanity faces.

For the first time, computers no longer only help us process information, they are the only ones capable of managing the volumes derived from big data. The human mind can not process the millions of data generated by a particle accelerator. The border between formal sciences and experimental sciences is blurred, and the computer ceases to be an aid to become an indispensable and irreplaceable piece of scientific research.

In the immediate future, the economic value will pass from the services to the data, the algorithms to analyze them and the knowledge that can be extracted.

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Cloud Hosting

Advantages and Disadvantages of Hybrid Cloud

A hybrid cloud is an optimal way to get the most out of the cloud. It combines the best of the Private Cloud and the best of the Public Cloud, and in this way, the company that adopts this type of solution has more possibilities to cover the needs of any project. Currently, there are two modalities of hybrid cloud:

– Housing: sell or rent a physical space of a data center for the client to place his machine there. The company gives the current and the Internet connection, but the user can choose the server.

– Hosting: It is a service that consists of hosting different products in specialized centers (data centers). The products can be from web pages, web applications, dedicated servers, and even virtual servers, and everything is put into the data center itself — the end customer does not have to buy anything.

Advantages of the Hybrid Cloud

  • Saving– The hybrid cloud helps organizations save costs, both in infrastructure and in application support. It presents a more moderate initial investment.
  • Scalability– The hybrid cloud is a system capable of adapting to the demands that each company needs, for space, memory, and speed. By moving as many non-critical functions as possible to the public cloud, the organization can benefit from the scalability of the public cloud and, at the same time, reduce the demand from the private one.
  • Security– Having the most critical data stored in the private cloud not only ensures that they are well protected but also provides that company information is stored according to the parameters established by current data protection regulations.
  • Flexibility– Having the advantages of the public and private cloud within reach allows organizations a full range of options when they have to choose which service is best for each distinct need.

Disadvantages of Hybrid Cloud

  • Reliability– The reliability of the services depends on the technological and financial capacity of the cloud service providers.
  • Information– The separated information of the company must travel through different nodes to reach their destination, each of them is a source of insecurity.
  • Centralization– The centralization of the applications and the storage of the data creates an interdependence of the service providers.
  • Security, privacy and compliance– Security can also be stress in the cloud, mainly if you handle grouped data and customer information. Consistency in the cloud can also become a problem, which may require the creation of a private cloud, if necessary, to protect private data.
  • Proximity– Ensure that all PC viewing and programming devices are impeccable with web-based organization, stage or establishment. While the IT department may have some greater degree of control in the regulation of the mix, proximity is often “what you see is what you get” in terms of incidental expenses.


The truth is that there are still advantages to mention if we compare cloud against hosting our server or use a second PC to perform a backup. There is a limitation — that is, the Internet — but the conception of this as a rule is beginning to disappear, as the world of tomorrow will have internet in all parts of the globe.

If we want to take advantage of working online, the cloud offers us a more versatile and efficient solution. But it’s important to consider all these advantages and disadvantages to weigh in if a cloud is the best option for you or your business.

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Data Center

Data Centers of the Future

It is a fact that as the number of devices connected to the network grows, storage needs to multiply. New technologies represent workloads for data centers that are increasingly complicated to manage. To this growth, we must add the need to keep the business always running, generating revenue and finding new business models to monetize.

We are already seeing digital powers that use more computing power, networks and storage through server farms to meet the growing demands of data and workloads. Technologies such as Cloud, Big Data or IoT are causing data centers to adapt quickly to the exponential growth of information and the appearance of new technologies.

However, greater digitalization also presents important challenges in the processing of resources and data.


The cloud has transformed the relationship between business and IT. The goal of aligning business and technology to the maximum is a reality that is completely planned and achievable.

The cloud represents the most disruptive change in IT in the last 30 years since it has not only ended up modifying the Data Center but also transformed the business model of many suppliers of the global technology industry.

But even with all these demands on Data Centers, according to reports from the Gartner analysis firm, by 2020 more than 70% will be able to reduce 30% of the physical space used in 2015.

The Data Center that will be seen in the coming years is composed of a scalable and partly modular solution because it needs to adapt to the needs of different companies.

What else can be done?


With hybrid systems, companies remain agile and flexible, as well as preventing businesses from having to transfer all their data to the cloud. The cloud is not all or nothing.

Companies can have a double opening of their system without migrating their entire portfolio to a single cloud and without security problems with the client.

Moving towards these types of models also provides each business with the opportunity to revolutionize their current IT configuration and improve their existing systems in the cloud. But this does not mean that they have to scrap all their infrastructure to take advantage of its benefits. Companies want to be able to operate profitably, without limitations, and a hybrid model is a highly recommended option.

The hybrid model also allows businesses to choose the right workloads for their environment, as well as those that depend on the needs of companies and new technologies. The ability of a company in terms of scalability will help the company handle the immense amount of data that is created today.

And, more importantly, it means that new technologies, such as artificial intelligence and machine learning, are even more accessible.

What are the predictions?

The predictions indicate that the data center of the future must adapt to the new workloads and it is forecast that 65% of the investments in infrastructure will be for systems of relationship, knowledge, and action.

But if there is one issue that will have special relevance in the future is the so-called quantum computing, since it will grant the ability to process many more data in less time.

It is a new paradigm that is based on the use of cubes instead of bits giving a technology with enormous possibilities that exponentially increases the management of information, in such a way that the capacity of the machines will advance more quickly.

Hyperconvergence


In recent years, really interesting innovations are happening in the world of infrastructure. These new features include a wide range of services in the cloud, everything defined by software and hyper-converged infrastructure.

A new report from 451 Research indicates that the spending of companies in convergent and hyperconverged infrastructure will experience a considerable increase in 2016.

More than 32% of companies plan large server and storage replacement projects for this year and of these, 79% plan to spend more on convergent infrastructures and 86% want to increase their investments in the hyper-convergent offer.

As if this were not enough, Gartner believes today that the data center defined by software is crucial for the long-term evolution of an agile digital business.

This type of infrastructure also helps companies achieve digital successes and opens the door to hyperscale, which is crucial to meet the demands of the digital world in which we live. Because of this, the greater the business agility, the more possibilities it will have to meet its digital objectives.
When it comes to an efficient, reliable and fast data center, ServerPronto can offer the best service. ServerPronto owns its data center, making everything possible. From affordable prices to a variety of packages and options.


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Data Center

New Revolution in Cooling for Data Centers

The intensive use of data is driving massive changes around the world, both at an industrial and business level. As all this information has to be stored and processed in large data centers, they must assume a high cost in energy consumption, water use, environmental footprint, and others.

The servers hosted in data centers generate a large amount of heat and their efficient operation depends, to a large extent, on being able to cool the equipment. But the cooling process also consumes a lot of energy.

If we do not refrigerate the servers and only depend on their systems of injection and extraction of air, these would end up damaging and, surely, some other component would be burned by the heat produced. Therefore, as we can imagine, ensuring the optimal operating conditions of a server is a critical task that requires large investments in cooling systems and that, over time, has evolved a lot and has opened the doors of a new generation of sustainable data centers.

So, the cooling by immersion allows reducing the size of the data center to only a fraction of what it would be if we had to perform its cooling by traditional air.

Context

To give us an idea of ​​what we are talking about, 2% of the carbon dioxide emissions generated worldwide are linked to the technology sector, a sector that is capable of consuming about 1% of the global electric power. With this context, and taking into account that our computing needs increase exponentially, it is necessary to look for alternative sources of energy (betting on renewable energies) and optimize cooling by betting on much more innovative solutions than conventional air systems.


Beyond air conditioning


The search for efficiency and energy saving has opened many lines of research that aim to make the data centers much greener and, above all, sustainable. Efficient air conditioning systems have been developed that are capable of saving around 90% of the electric power necessary for their operation: a substantial saving that would reduce the carbon footprint of the technology industry and, therefore, of cloud computing.

In this way, the latest generation of fluids developed by 3M is revolutionizing the data center sector with its solutions for cooling through immersion in liquids.

How does it work?

In single-phase immersion cooling, the fluid has a higher boiling point and remains in its liquid phase throughout the process. The electronic components are immersed in a non-conductive bath filled with 3M Novec liquid. The heat of the components is transferred to the fluid and the heated fluid is pumped to a heat exchanger, where it is cooled and reconnected to the bath.

The 3M scientists also use a passive two-phase immersion cooling process, where the component racks are immersed in a Novec bath.

The most efficient methods of cooling by immersion in the liquid can help improve the energy efficiency of a data center by up to 97% since they eliminate the need for chillers and air conditioning units that entail high energy costs.

With this process, a data center can become more efficient and end up servicing more clients with less effort.

Reusing Heat

While we have focused on the optimization of the cooling systems of data centers, the heat generated can also be exploited. Yes, the heat dissipated by the servers can be used and reinvested in applications that can save us energy; The simplest and closest thing is to use the heat in heating systems or to heat water in the same facilities in which the data center is located, but this heat can also be extended to other users. The heat dissipated in some data centers can be reused to cause energy savings in third parties and make these data centers sustainable to exert their influence beyond their physical facilities.

All this brings the opportunity of helping save the Planet while having a more efficient and faster data center.

When it comes to an efficient, reliable and fast data center, ServerPronto can offer the best service. ServerPronto owns its data center, making everything possible. From affordable prices to a variety of packages and options.


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Reviews

ServerPronto “Ahead of the Game” According to Top 10 Website Hosting

The Top 10 Website Hosting was created to find the best web hosting company and to offer options to anyone looking for a hosting provider.  The creator of this list tests the features of each web host, including their control panel, website builders, knowledgebase, and customer support waiting times, via telephone, email, support ticket, and live chat where possible.

Recently, ServerPronto was reviewed on the Top 10 Website Hosting.

According to their review, “ServerPronto is a well established, forward thinking web host with some innovative solutions that are ahead of the game. The company has a variety of high caliber certification and partnerships to allow them to offer cutting-edge solutions that are in a league of their own. If you are looking for a high-quality hosting provider in the US, then ServerPronto is well worth a look.” Rowanna, Top 10 Website Hosting.

One of the important points of the review is how ServerPronto “focuses on providing unmatched value while retaining the high quality of service. They don’t want to be known as just a “Value” or “Cheap” hosting provider. Instead, they focus on what they call “Right Pricing” by offering the best value for money with hardware, service, and support to match.”

We feel proud of having the best customer service, affordable packages, good hosting security and a lot more to our clients. And we have an obligation to be professional, passionate and focused on our service.


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Artificial Intelligence

Artificial Intelligence on Data Centers

Artificial Intelligence tools can handle more data than human security professionals and find anomalies that are invisible to humans.

According to a recent survey of 400 security professionals conducted by Wakefield Research and Webroot, a provider of cybersecurity, 99 percent of respondents in the United States believe that artificial intelligence, in general, could improve the cybersecurity of their organizations and 87 percent. One hundred reports that their organizations are already using artificial intelligence as part of their cybersecurity strategy.

In fact, 74 percent of cybersecurity professionals in the US they believe that within the next three years their companies will not be able to protect digital assets without artificial intelligence (AI).

AI and machine learning are used to detect malware never seen before, recognize the suspicious behavior of users and detect anomalous network traffic.

According to the survey, 82 percent of US respondents, they said that artificial intelligence could detect threats that would otherwise be lost. But finding problems is only the first brick in the defensive wall.

Smart systems can also detect indicators that pose the greatest threats, suggest actions such as re-generating server images or isolating network segments, and even carry out remediation actions automatically.


Artificial intelligence can also collect and analyze forensic data, scan codes, and infrastructure for vulnerabilities, potential weaknesses and configuration errors, make security tools more powerful and easy to use and learn from experience to quickly adapt to the changing conditions.

All of that has the potential to dramatically improve user safety and user experience, said David Vergara, head of global product marketing at VASCO Data Security, which provides identity and authentication solutions to more than half of the 100 banks and financial institutions.

Measuring server temperature to detect problems

Smart systems can also detect behaviors that are too subtle for humans, said Terry Ray, CTO of cybersecurity provider Imperva.

For example, artificial intelligence (AI) and machine learning can be used to model hardware temperatures and compare them with typical activities or compare the access times of individual users with their peers to detect suspicious anomalies.

Larger and more forward-looking companies will invest heavily in the AI ​​experience to gain an advantage from artificial intelligence. But even the smallest data center operators will benefit because most, if not all, major cybersecurity providers are adding AI to their products.


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Data

Big Data ?

What is Big Data?


When we talk about Big Data we refer to data sets or combinations of data sets whose size (volume), complexity (variability) and speed of growth (speed) make it difficult to capture, manage, process or analyze them using conventional technologies and tools, such as relational databases and conventional statistics or visualization packages, within the time necessary for them to be useful.

Although the size used to determine whether a given data set is considered Big Data is not firmly defined and continues to change over time. Most analysts and practitioners currently refer to datasets ranging from 30-50 Terabytes to several Petabytes.

The complex nature of Big Data is mainly due to the unstructured nature of much of the data generated by modern technologies. Such as weblogs, radio frequency identification, sensors incorporated in devices, machinery, vehicles, Internet searches, social networks like Facebook, laptops, smartphones and other mobile phones, GPS devices and call center records.

Why is Big Data so important?


What makes Big Data so useful for many companies is the fact that it provides answers to many questions that companies did not even know they had. In other words, it provides a point of reference. With such a large amount of information, the data can be molded or tested in whatever way the company considers appropriate. By doing so, organizations are able to identify problems in a more understandable way.

The collection of large amounts of data and the search for trends within the data allow companies to move much more quickly, smoothly and efficiently. It also allows them to eliminate problem areas before problems end their benefits or reputation.

Big Data analysis helps organizations take advantage of their data and use it to identify new opportunities. That, in turn, leads to smarter business movements, more efficient operations, higher profits, and happier customers. The most successful companies with Big Data achieve value in the following ways:

Cost reduction. Large data technologies, such as Hadoop and cloud-based analysis, provide significant cost advantages when it comes to storing large amounts of data, in addition to identifying more efficient ways of doing business.


Faster, better decision making. With the speed of Hadoop and in-memory analytics, combined with the ability to analyze new data sources, companies can analyze information immediately and make decisions based on what they have learned.


New products and services. With the ability to measure the needs of customers and satisfaction through analysis comes the power to give customers what they want. With the Big Data analytics, more companies are creating new products to meet the needs of customers.


Challenges of data quality in Big Data

The special characteristics of Big Data mean that its data quality faces multiple challenges. Volume, Speed, Variety, Veracity, and Value, which define the problem of Big Data.

These 5 characteristics of big data cause companies to have problems to extract real and high-quality data from data sets that are so massive, changing and complicated.

Data Governance plan in Big data

Governance means making sure that data is authorized, organized and with the necessary user permissions in a database, with the least possible number of errors, while maintaining privacy and security.

It does not seem an easy balance to achieve, especially when the reality of where and how the data is hosted and processed is in constant motion.

In the end, considering the confidence in the data, extracting quality data, eliminating the inherent unpredictability of some, such as time, economy, etc., is the best to reach a correct decision making.


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