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Machine learning is playing an increasingly important role in web development. Responsive web design practices first started becoming popular around seven years ago. However, advances in machine learning have made them much more robust. One of the most important ways that machine learning is changing the Internet user experience is with the development of progressive web applications (PWAs).

Info World published an article about the importance of PWAs last year. The authors pointed out that PWAs solve many of the key problems with traditional online apps. They are still a relatively new concept, but PWAs have already proven their versatility and started improving the user experience.

Machine learning technology is going to be vital to the future of PWAs. It will make it easier for PWA development teams to ensure every user has the highest quality experience.

What are the core benefits of PWAs?

Progressive web applications are hybrid platforms that combine the best features of traditional websites and online apps. There are a number of reasons that they are setting new standards for user engagement.

PWAs load much faster

Traditional apps are not known for their fast loading times. PWAs are raising the bar with speed. One study found that they load 15 times faster.

PWAs don’t need to be installed like traditional apps

One of the biggest downsides of traditional apps is that users need to download them to their mobile device. This is highly inconvenient for mobile users. They take up a lot of memory and leave the mobile desktop looking very cluttered. Some apps also have glitches that interfere with other features, which encourages users to uninstall them.

Due to these problems, 28% of all apps are uninstalled within 30 days. This is obviously a huge problem for businesses that are trying to expand the reach with mobile apps.

PWAs, on the other hand, do not need to be installed. This is possibly the most important feature of them.

PWAs can be accessed off-line

Traditional apps obviously require an Internet connection. Although many features require a network connection for obvious reasons, there are plenty of simple features that should not require one. Unfortunately, people using conventional apps are not even able to use these features.

PWA developers recognize this inane limitation. They have created apps that can be accessed off-line. These apps use sophisticated data technology and machine learning algorithms to get a better pulse on their users. As a result, they can deliver an exceptional user experience for many features that don’t require a connection.

PWAs can interact with other devices to deliver superior functionality

Traditional apps are able to connect with certain devices on the Internet of Things. However, most devices are not compatible with their programming interface.

PWAs are different. They can connect to motion sensors, virtual reality technology and much more. They can also handle push notifications and other web features that are not available with most other apps.

Machine learning is making significant headway here. Machine learning algorithms are used to improve both the performance of apps and the technology that will connect to them. Once compatibility constraints between the mobile device and third-party technology are sorted out, the technology can be easily merged. As a result, PWAs allow for how much more holistic experience.

Enhancing security

Security concerns have dissuaded many people from using traditional apps. It can be difficult to resolve all known security flaws in an app after it has undergone beta testing. Many security features are not even discovered during the initial testing phase. Users might not discover them until after their device has been hacked.

PWAs have helped improve app security significantly. Due to the configuration and network requirements, all traffic must pass through and HTTPS connection. The high level of encryption means that security risks are going to be very minimal.

Machine learning is also helping improve the security of PWAs. Big data algorithms are constantly screening all web packet connection requests to identify suspicious Signals. As they become more familiar with hacking attempts, they will be able to update their algorithms to provide stronger security.

Machine Learning Leads to New Advances in PWAs

Progressive web apps are setting a new standard for the mobile user experience. They rely heavily on machine learning, which is helping make them faster, safer and more convenient. What is the future of machine learning and PWAs? Only time will tell.

The post Why Machine Learning And Progressive Web Apps Are A Great Match appeared first on SmartData Collective.

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Big data is changing the future of professional communications. We have previously discussed the way that organizations use big data to stream communications through Skype and VoIP services. However, big data is also playing an important role in validating documents as well.

Big Data Addresses Security Issues and Other Concerns with Electronic Signatures

Big data is addressing some of the biggest concerns in document processing and authentication. New data mining tools will help with electronic signatures.

Hacker Moon addressed the importance of improving security with electronic signatures, especially in the healthcare and financial sectors. Big data developments will make this easier.

Big data processes are taking over many prominent industries including healthcare, construction, real estate, and accounting. The traditional paper-based world is a thing of the past as many industries are starting to embrace digital documentation and transactions. Global digital businesses that rely on big data are on the rise. In most cases, you find that specific documents and transactions ought to be signed by many people from different parts of the globe. Having a desktop where they can sign documents makes work easier, saves time and cost. Due to developments in big data, an electronic signature solution is the future and plays a significant role in how we conduct business. However, choosing a particular solution is not an easy task. There are several factors that you ought to consider. Some of them include;

Ensure it’s compatible with the apps you already use

If you are planning to acquire an electronic signature solution make sure it doesn’t change the way you work. Check out if it works with Word, Excel, PDFs, Outlook and other content apps that your company is already using. Some platforms are more compatible with big data solutions than others. Once you’ve determined the electronic signature solution contains all the necessary apps that meet your needs you can ahead and invest in it.


Next to security, one of the biggest benefits of big data is simplicity. Just like in the traditional paper world where signing a document is easy, quick and intuitive, the digital paperless world should be just as easy. When signing it shouldn’t take you more than 10 seconds. The type of electronic signature solution you decide to implement should not require the users to start learning new technologies or constantly ask for assistance from the help desk.


There are some basic requirements that any paper-based or electronic solution must adhere to be considered legally binding. Some of the strict standards you should look out for include authenticity, privacy, enforceability, integrity, and non-refutability. Such requirements are general requirements although some industries like finance and pharmaceuticals have other specific needs that they have to comply with.

Ensures you have complete control

The electronic signature solution you settle for should align itself with the specific processes, authentication requirements, user management and technologies of your organization. Once you have complete control over the solution’s implementation, you can run your company in a way that best suits your activities especially by meeting internal regulations, standard operating procedures and governance policies. Likewise, it will allow you to integrate it with the systems that you already have in place.

It should provide safety to your documents

Choose an electronic signature solution that keeps your sensitive documents safe probably inside your IT domain. This prevents your documents from getting saved on external and untrustworthy servers. Don’t gamble with your documents when you can find a solution that ensures your work is not exposed to the risk of fraud and tampering.

Provides multiple signature options

Whichever solution you come up with, it should allow for more than one person to sign the document. With so many electronic signature solutions out there, it is easy to come across one that allows only one signature. Therefore, when the document is signed and sealed there is no possibility of adding another signature. That is not convenient especially because there are certain types of documents that have to be signed by more than one person before they get approved. Make sure your digital signature system has sectional signing for it to be effective.

Should be cost effective

When purchasing an electronic signature solution, it is paramount that you evaluate its total cost of ownership. Some of the things you should be considering include digital certificate renewal fees, deployment and production costs among others. Also, ensure you also take into consideration the paper-related costs before making any decision. A cost-effective solution will not only save you a lot of money but will ensure your company remains profitable in the long-term.

Choosing an electronic signature solution might not be easy, but the above tips should give you an idea of what you should be looking for. Don’t be in a hurry if you don’t want to end up making the worst decision for your business. Keep in mind that an electronic signature is supposed to make work easier within your company while improving the overall execution of tasks. Don’t go for something too complicated that will trouble the users as well.

Big Data Leads to Breakthroughs with Electronic Signatures

There are a lot of benefits of big data in the field of communications. One of the most overlooked is in the field of electronic document authentication. Electronic signatures use big data to make this possible.

The post How Big Data Offers Better Electronic Signature Solutions appeared first on SmartData Collective.

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The marketing profession has been influenced by big data more than almost any other field. Marketers used to make decisions primarily off of conjecture because they didn’t have the detailed analytics capabilities that are available in 2019. In the age of big data, marketers are able to take advantage of much more sophisticated analytics capabilities. This is one of the biggest ways big data is changing marketing.

However, marketers using some of the newer inbound platforms are at a bit of a loss. Pinterest and Instagram are two of the biggest examples.

Visual social media networks are becoming increasingly popular. In 2019, Pinterest has 250 million active users. This is a significant increase from 170 million just three years earlier.

Marketers are demonstrating more interest in these platforms as the user base grows. Pinterest and Instagram are accumulating a lot more data on their users, which makes it easier for marketers to reach potential customers.

Marketers embrace the benefits of big data with Pinterest and Instagram

Marketers can significantly benefit from using big data to optimize their strategies on visual social networks. However, some of them have dragged their feet doing so.

The problem is not that big data can’t help marketers optimize their strategies on these visual social media platforms. Data is actually incredibly helpful.

The real issue is that marketers are trying to figure out how to develop their strategy and understand the insights from big data at the same time. Fortunately, once marketers are able to outline their strategies appropriately, they can utilize big data for maximum benefit.

Here are some ways that big data is changing the way that marketers can reach customers on these social networks.

Using machine learning to develop more engaging pictures

Creating content for Instagram and Pinterest is a numbers game. Most experts will admit that only around one out of 100 of their images will take off.

However, before they get too discouraged from this seemingly dismal statistic, it is important to keep in mind that the odds of certain pins going viral is higher than others. Shrewd marketers will monitor the performance of different posts to see patterns. Once they have identified the best performing posts, they can start creating similar ones to maximize their odds of success.

However, this process can be rather overwhelming. Fortunately, new advances in machine learning have made it much easier. Stencil is an online tool that uses machine learning to help marketers develop more engaging images. Stencil and similar image generation tools can continually track the preferences of different marketers and recommend new images accordingly.

Big data helps with keyboard analysis on these platforms

Keyword analysis is another very important element of any marketing strategy. Big data is vital to keyword analysis.

Marketers have leveraged data analytics with the Google Keyword Planner for years. This tool is useful for expanding reach on other networks as well, such as Pinterest and Instagram. However, it is not as useful as the internal search engines these platforms use. Most people search for content with internal search engines, so it is important to use their own keyword analytics data.

Pinterest has its own keyword analysis tool. Smart marketers use it to their full advantage. They can see the monthly search volume of different keywords, so they can focus on them to get more reach.

Learn to Expand Your Audience

Smart marketers understand that getting more views is an important part of the process. They can use big data to get more insights to grow their audience. Even if they plan to buy Instagram likes, they need to make sure that those likes are actually going to be of value. This means that they need to do their due diligence and monitor the reach and engagement of the accounts they are coming from.

Deal with Future Trends

One of the biggest challenges with any social network is coming to terms with new trends. The types of content that is popular at any given time could be stale in a few years. The good news is that predictive analytics makes it much easier to forecast trends and prepare for them. This helps marketers using Pinterest and Instagram make sure that they have a stock of content ready to be published when those new trends go into effect.

The post Data Optimization Facilitates Pinterest And Instagram Marketing appeared first on SmartData Collective.

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Big data and e-commerce have been carefully interwoven for years. Businesses with an online presence have looked to big data to provide better customer service. Some examples of this include:

  • Monitoring user engagement to see how customers behave online
  • Developing more effective graphic designs with the assistance of artificial intelligence
  • Ensuring the website operates as smoothly as possible
  • Using predictive analytics to optimize digital properties for future trends

Big data is going to have a tremendous impact on the future of web technology. It is already posed to make some radical changes in the coming year.

In 2019, the already established web development trends will go on evolving and seeping into more areas. Big data technologies like artificial intelligence, progressive web applications, blockchain and so on are not going to leave the stage and will keep on rolling in the foreseeable future.

1.      JavaScript (JS) programming language

JavaScript is still the most widely used programming language in the IT world. And it’s not going to lean back. Currently, 94 % of all websites use JS. The popularity of this programming language caused an increase in the number of JS libraries and UI components. Such juggernauts as React and Angular will still be on the top in 2019, but there are also other players to show up. Software developers will have a wide choice of libraries for various purposes.

Using JS frameworks considerably alleviates programmers’ work. Strong communities which are built around React and Angular not only help solve problems quickly but also allow taking part in the creation of new capabilities. Libraries with a free GNU GPL license ensure instant app development and low expenditures.

The JavaScript language predates the proliferation of big data. However, new big data libraries for JavaScript developers are making the language more versatile.

2.      Artificial intelligence (Al)

AI is one of the biggest advances in big data. Social networks are awash with Al-related comments by CEOs of various companies from all over the world. All of them claim that Al-based technologies will continue playing a big role in the improvement of the service quality in healthcare, business, education, manufacturing, etc. The hopes are mostly pinned on AI-powered chatbots. Virtual assistants like Siri or Alexa have become a breakthrough in customer engagement. The experts believe that very soon communication with a bot will be indistinguishable from socializing with a real person. Neural networks and machine learning are expected to bring chatbots closer to this goal.

3.      Progressive web apps (PWA)

Some world-famous brands have already experienced the power of PWA and were more than satisfied with the results. Figures speak for themselves. Forbes’ PWA increased impressions per visit by 10%. Alibaba increased mobile conversions by 76%, and Twitter saw a 20% decrease in bounce rate.

What is the reason for such resounding success? The main advantage of this technology is native-like user experience for those who access an app via mobile devices. Interaction with a PWA is very close to the interaction with common mobile apps. Smartphone users often don’t realize that they are, actually, dealing with a web app.  This peculiarity is crucial for business as the popularity of mobile devices is soaring. That’s why many brands tend to opt for PWAs instead of native mobile apps these days.

There are also other reasons, e.g., loading speed. This parameter is more important than it seems at first sight.  According to the survey conducted by Google, the users of mobile devices value their time very much. 53% of them admitted that they are likely to leave a page if it doesn’t load in 3 seconds. PWAs are much faster than typical mobile apps.

Besides, PWAs have a responsive design which ensures excellent user-experience regardless of the device’s screen size. As a result, the line between mobile apps, websites, web pages with a responsive or adaptive design is erased.

Finally, you get a digital solution that can work on various types of devices. There is no need in creating several products for different purposes, e.g., desktop and mobile apps, a website. There are a lot of ways that big data is influencing the direction of PWAs.

4.      Single-page apps (SPA)

Impossibility of indexing by search engine bots and low security used to impede the SPA’s adoption. Actually, these issues have already been solved. For example, Google specialists found out how to index pages like these. State-of-the-art security systems can protect SPAs from any cyber-attacks.

At the same time, single-page applications are speedy. They provide amazing user-experience on mobile devices and are very quick to build. If you need a simple but fast app, it would be wise to bet on a SPA.

5.      Animation

Animation still remains one of the leading trends in web development. This digital art plays a prominent role in the improvement of user experience. SaaS platforms like Motion UI help create outstanding apps with animated elements. This library is currently on hype because its components ensure genuinely flexible CSS transitions and animations.

Big Data is Changing the Future of Web Technology

Global changes are not expected in the web development market in the nearest future and big data is driving these trends. You need to pay attention to the big data trends stay on top in 2019. The mainstream data technologies continue to gain momentum.

The post Big Data Sets The Tone For Web Development And UI Trends In 2019 appeared first on SmartData Collective.

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Organizations are using big data to solve many of their most pressing challenges. Some big data applications have received considerably more attention than others. Marketing and finance are two of the functions that are most dependent on big data. However, there are other benefits of big data that are just as important but receive far less publicity.

Disaster planning is one of the areas that can benefit from big data solutions. Big data can help organizations prepare for massive, unexpected disasters that can cost millions of dollars, as well as minor, recurring incidents that collectively have significant costs. Here are some ways that prudent organizations are utilizing big data for their contingency plans.

Preparing for mounting concerns about cybersecurity breaches

Cybersecurity is becoming a greater concern than ever. In 2016, cyber-attacks cost the United States economy between $57 billion and $109 billion. These costs are projected to continue growing in the years to come.

Big data has played an important role in restoring cybersecurity for businesses of all sizes. There are several ways that predictive analytics is helping organizations prepare for these challenges:

  • Predictive analytics models are helping organizations develop risk scoring algorithms. These algorithms can scan emails, file contents and other possible ports for cyber-attacks. They use machine learning technology to determine the likelihood that content is associated with such an attack.
  • Big data helps organizations determine the likelihood that they will be the target of a security breach. They take a number of variables into consideration, such as the company’s industry, profitability, previous threats, the general public sentiment around the brand, news releases about new intellectual property developments and much more. If these algorithms indicate that there is a high chance the company will be targeted by a security breach, the company will understand that it needs to dedicate more resources into prevention.
  • Big data has helped cybersecurity planning companies develop better detection solutions. It is able to carefully monitor internal activity to identify the likelihood of a threat that has penetrated the system. These solutions are able to alert network administrators in real time, so corrective action can be taken.

Big data cybersecurity solutions are going to be even more important as new malware and hacking threats surface.

Developing new safeguards to protect various types of equipment

Organizations need to carefully protect their equipment. They often spend tens of thousands of dollars on new capital. Insurance providers might require them to have adequate safeguards to get compensated for any damages.

Small devices also need to be carefully protected. Mobile phones are a prime example. Although a mobile phone might not seem as valuable as many other assets, mobile devices can store data that is incredibly valuable to the company. Therefore, companies are using big data to develop a better cell phone case to protect them.

Preparing for weather challenges

You have probably heard the old adage “everybody talks about the weather, but nobody does anything about it.” While it is true that you can’t change the weather, you can use big data to help prepare for it and minimize the risk of disasters.

Organizations need to be prepared for both one time and long-term weather threats. Predictive analytics technology is helpful for both. The Weather Company has said that predictive analytics is revamping the way they forecast the weather.

New predictive analytics models are able to identify the likelihood of inclement weather up to a couple of weeks in advance. This helps organizations plan for events better.

It also helps them assess the probability that a structure will be significantly damaged by any major weather event over a long interval of time. This will help companies plan the location of new facilities to avoid these challenges. This benefit is especially important for the construction of data servers, because they are more vulnerable to major weather incidents than other structures.

The post Big Data Offers New Solutions for Disaster Mitigation Planning appeared first on SmartData Collective.

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Big data is redefining the future of the gaming industry. Gaming providers are using big data for a variety of purposes. These applications include the following:

  • Getting a better understanding of customers, so they can offer better products and experiences
  • Protecting against security threats, which are becoming increasingly common
  • Adapting new payment processing solutions, such as crypto currencies
  • Making sure that enough resources are allocated to keep the services running smoothly

Some of the biggest gaming companies are using a tremendous amount of data. Electronic Arts, the biggest gaming company in the world, is currently consuming around 50 terabytes of data every day.

This is going to make it easier for companies to leverage big data to improve their services. How will it change the gaming industry as we know it?

Big Data Has a Major Influence on the Gaming Industry

A recent article by CIO showed that big data is disrupting the gaming industry.  They found that major companies are acquiring platforms like MineCraft, not for the products themselves, but for the data. MineCraft was purchased for $2.5 billion, just because it had such a large trove of valuable data.

It is incredible that Microgaming launched the first online gambling website over 25 years ago. Since the first gaming site was launched, the gambling industry has pioneered and embraced new forms of digital technology.

Today, online gambling is one of the most successful industries ever. However, big data tools are required to help key players in the industry stay competitive. Big data helps them accurately predict the odds of players winning, as well as personalizing their games for the different players.

In 2019, consumers expect a more personal service that suits their own specific needs. Recent statistics show that 67% of gamblers remain loyal to the brand that offers a more customised service. It makes sense that any customer that enjoys a bet would want to play at a top 10 online casino that offers exceptional services in customer care, bonuses and promotional offers, banking options and the quality of games.

It was the bookies who were the first gambling professionals that made use of big data analysis. Previous games were analyzed and the point scoring and wining patterns were determined in order to establish more realistic odds. Interestingly, one survey determined that over 72% of UK bookmaker customers believe that their own bookies did not offer a great personalized service.

Online casino operators use big data to customize their casino offers and make the sites more attractive to new and established, loyal players. Improved marketing campaigns gleaned from the massive amount of customer data is highly valuable to the industry.

As the use of cookies advanced the online casinos are able to find out which games their players prefer, and perhaps more importantly, what type of patterns they use whilst gaming, and all of this personal information can be used by the gambling industry to create marketing campaigns that ‘speak’ to their customers.

The benefits of big data can also be exploited by players as it can help them to predict outcomes, and potentially enjoy some extra winnings. Players using big data works in much the same way as sports organizations use it to analyse the players and the tactics of the opposing team/s. Those that are betting on the outcome compare two team data sets in order to glean which team will win.  Sports betting is a massive concern and having an edge by using big data is a clever tactic.

The majority of industry leaders have already hired teams of big data technicians and engineers and as there is no sign of the industry slowing down, we are sure to witness more improved, innovative marketing strategies based on the information garnered from big data.

Big Data Makes Waves in Gaming Industry

The gaming industry is changing at a rapid pace. This is largely due to fantastic advances in big data. How will big data change the future of this industry? Only time will tell.

The post Big Data In The Gaming Industry Makes A Massive Impression appeared first on SmartData Collective.

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We’re well past the point of realization that big data and advanced analytics solutions are valuable — just about everyone knows this by now. In fact, there’s no escaping the increasing reliance on such technologies. Big data alone has become a modern staple of nearly every industry from retail to manufacturing, and for good reason.

IDC predicts that if our digital universe or total data content were represented by tablets, then by 2020 they would stretch all the way to the moon over six times. That’s equal to 44 zettabytes of data, or 44 trillion gigabytes.

There are many reasons why data is being generated so quickly — doubling in size every two years. The birth of IoT and connected devices is just one source, while the need for more reliable real-time data is another. What’s more interesting, however, are the trends formed as a result of the newer digitally-reliant solutions. They specifically help shape the industry, altering how business analysts work with data.

What will our digital future look like? How will we manage all this information? What skills should business analysts be focused on developing?

1. Specialization of Job Roles

For quite some time, the data analyst and scientist roles have been universal in nature. It’s not that specializations didn’t exist, they always have but companies are now starting to look for professionals with industry-specific experience. They want someone well versed explicitly in the kind of data they’re dealing with.

Everything from financial services to manufacturing and logistics is being upgraded to rely on more digital services and as a result an influx of real-time data. There are plenty of opportunities, so choosing a specialization won’t hurt career choices, but doing the opposite can. It’s important to build a solid CV by working with businesses and teams that fit a specialization, so choose one.

2. Machine Learning Experience is a Must

By 2020, over 40 percent of all data science tasks will be automated. Machine learning technology and its growing capability is a huge driver of that automation. It’s for good reason too because automation and powerful machine learning tools can help extract insights that would otherwise be difficult to find even by skilled analysts.

The entire process is also achieved much faster, boosting not just general efficiency but an organization’s reaction time to certain events, as well.

Quantitative analysis, experimental analysis, data scaling, automation tools and, of course, general machine learning are all skills that modern data analysts should seek to hone. The more direct experience and talent an analyst has with automation technology, the more desirable they will be.

3. The Rise of Regulation

GDPR helped to spur the demand for prioritized data governance, and frankly, it happened so fast it left many companies scrambling to comply — even still some are fumbling with the idea. But it’s not the only regulation or guideline that’s making waves. More recently, the California Consumer Privacy Act reared its head, which will go into effect in 2020. It won’t be the last either, not by a longshot.

These regulations have a monumental impact on data processing and handling, consumer profiling and data security. Businesses are under intense pressure not only to comply with the requirements established but also to understand the impact on current and future operations.

Data scientists and analysts who understand the ramifications can help organizations navigate the guidelines, and are skilled in both data privacy and security are in high demand. As more regulations come to be, that demand will continue to grow making it a viable specialization for current and future professionals.

4. Stay on the Bleeding Edge

Admittedly, it’s no small feat to stay up-to-date with anything that relates to modern technology. Solutions and tools are evolving at ridiculous rates, new opportunities are always being introduced, and a variety of trends take form year after year. But no matter how difficult it is, data analysts must continue to stay at the forefront of that growth.

A good analyst may specialize but never puts their entire stock in one technology, platform or toolset. With databases, for example, choices may include NoSQL, HBase and MongoDB but its likely priorities may shift over time. Data processing is another skill vital to staying relevant in the analytics field. Professionals adept at this skill will be desirable by corporations, individuals and government offices alike.

For frameworks and languages, there’s SAS, Python, R, Apache Hadoop and many others. The popular tools, on the other hand, include Power BI, ETL, IBM Db2, and Teradata. But more importantly, these are the examples today — right now — and they may shift or change over time.

It’s up to analysts to stay current with any and all solutions available, and that means adopting a state of continuous improvement and growth as far as skills and knowledge are concerned.

5. Cloud Computing and Related Mechanics

Data scientists and software engineers are two different fields, but that doesn’t necessarily mean overlap doesn’t happen. It absolutely does and professionals must understand that achieving it is a vital part of staying relevant in today’s market.

As the demand for more elastic and fluid infrastructure grows, analysts and scientists will need to understand how this relates to current operations and equipment. Being able to dynamically evaluate the load on a server, for instance, can go a long way when dealing with performance requirements and potential issues.

It’s this concept of understanding the hardware and infrastructure at the helm that will elevate professionals to new heights. Big data, advanced analytics, machine learning, none of these technologies would exist without cloud computing and the resulting infrastructure.

Until recently, the focus has always been on the tools and processes that would help achieve a greater understanding of data stores.

As the technology becomes more capable and is adopted more openly, the need to understand the underpinning hardware has also become more important. Hence, the overlap between software and hardware related roles and the need for future professionals to understand the full scope of the systems at play.

6. Basic Business Intelligence Experience is a Must

Today’s data analyst is not locked in a tower and kept separate from the rest of the organization. In fact, it’s almost always the complete opposite, as scientist interact directly with teams and decision makers. This means that data professionals must be able to effectively communicate complex subjects to non-technical professionals.

Communication happens to be a critical soft skill of business intelligence. But it’s not the only skill necessary to thrive. SQL programming skills, specific tool experience — Tableau for example — and problem-solving are just a handful of examples.

The successful analysts of today and tomorrow must have a solid foundation in business intelligence too.

Growth is Always a Must, but the Right Growth is Key

Naturally, data analysts will continue to grow as they take on more projects and build experience in the industry. But fostering the right growth, into specific areas and skills, can help professionals achieve success, but also secure future opportunities in the field.

More and more organizations deploy data analytics tools to influence their operations, future decisions and to understand consumer behavior.

As time progresses, those tools have become more advanced alongside the technology itself, which has also become more capable. It’s up to analysts to not only understand the core systems and tools at play, but also the underpinning hardware.

More importantly, professionals should seek to specialize in various industries to boost their value and skillset.

The post 6 Data And Analytics Trends To Prepare For In 2020 appeared first on SmartData Collective.

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The Internet has evolved significantly over the last 20 years. A lot of the biggest changes can be traced to big data.

SmartData Collective discussed some of the implications of big data for the Internet a couple of years ago. One thing that got overlooked was the role of big data in web hosting. Big data is creating a new era of hosting solutions. CDN and traditional hosting options are both available.

Big Data is Changing the Future of Online Hosting Forever

Who Is Hosting This is a leading hosting review site. They wrote a recent article detailing the ways that big data is revolutionizing the Internet. They write that Apache and Hadoop tools are invalable to modern hosting providers.

In the early days of the internet, things like web hosting were very basic. Dedicated hosting providers would provide services for every kind of client in the market. Hosting was more traditional and centralized. In the age of big data, that is no longer the case. The web is a huge store where different kinds of files from every source are put by users. Data storage capacities have made this easier than ever.

Traditional web hosting cannot meet the needs of the modern client. This is why CDN Hosting solutions that rely on extensive data mining is prevalent.

Content Delivery Networks (CDNs)

Considering how the web has become central to everyday business, CDNs have come up to ensure that access and storage of information on the web are seamless. The servers are located in various parts of the world and they provide powerful services that can be used for any scale. The reason for the change in the kind of hosting services provided today is the proliferation of multimedia content. According to a Cisco report, up to 82% of content on the web will be video by 2022. At a time when mobile content and PC content is all about images and video, the kind of hosting needed is intensive. CDN Hosting has replaced traditional hosting as it is the most efficient way to host large multimedia files.

The Differences Between Traditional Hosting and CDNs

There are a number of differences that distinguish traditional web hosting from CDNs. To start with, hosting means that a server is set up to allow users to access data via the web. This is not the case with CDNs as they are all about ensuring a speedy delivery of content. Another major difference between the two services is that with traditional hosting, data is retrieved from a particular server in the world and delivered to the user who has made a request. The delivery takes time. When the same process is done via CDNs, the speed is much quicker because the content is delivered from across the entire globe.

These major differences have a lot of bearing on various aspects of the cyberspace. To start with, the resources needed for CDN content delivery are less compared to traditional web hosting. This is because data is pulled from different locations around the world. There is an aspect of sharing the workload, therefore. The basic premise of CDNs is to ensure that the networks are utilized to the best ability. According to HostInspection, CDNs have made it possible for the web as a whole to be optimized.

Benefits of CDNs

As stated earlier, CDNs come with many advantages over traditional web hosting. While the technology is not meant to replace web hosting, it has allowed the web to be a much more reliable place. The availability of multiple servers across the world means that there are few failures experienced. The likelihood of accessing files in a slow fashion is also reduced. In overall, speed and reliability result in a cheaper service provision.

The main benefits of CDNs are:

  • Better performance as there are lower instances of packet loss
  • High reliability that comes from sharing of resources between different servers
  • High security and lower costs associated with the use of edge servers
The future of CDNs

With so many benefits coming to the web as a result of CDNs, the obvious question is – what is the future of the web with CDNs? The answer to this question is pretty simple. The web will be dominated by technology. Already, the biggest share of the web is served by Content Delivery Networks. The traffic in the modern day is just too big for traditional web servers. The increasing use of large files and the prevalence of streaming services has made traditional web servers redundant. CDNs are quickly becoming standard and the world is already run by the technology.

Which is Best?

When it comes to web hosting, not many people consider the exact technologies that go into storing and delivering content. Not many people are aware of the roles of Content Delivery Networks. The internet has evolved rather organically and the use of both traditional servers and CDNs has been the norm. As the web makes space for more and more multimedia content, the role of CDNs will not be tertiary. It will be basic and fundamental.

Big Data Leads to More Valuable Hosting Solutions

The web hosting industry was one of the first to embrace the big data revolution. Big data has created a number of new technological advances that have made data better than ever. Hosting companies can now use big data to offer exceptional CDN hosting to all of their customers.

The post Big Data Creates Greater Divide Between CDN & Traditional Web Hosting appeared first on SmartData Collective.

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Big data has opened a number of doors for marketers. One of the most overlooked benefits of big data is that it allows marketers to translate documents from one language to another.

Memsource shows that big data is revolutionizing translation solutions, primarily due to the advent of more sophisticated cloud language platforms and machine learning capabilities. While many big data experts have observed the benefits of big data in translation, they haven’t focused on the applications in the marketing profession.

Big Data is Opening the Door for Marketers to Reach People that Speak Other Languages

Many small businesses have never thought about the potential of improving marketing with translation. They only focus on customers within their own region. Fortunately, machine learning technology has made it easier for them to exploit this opportunity. Tools like Deepl rely on machine learning and sophisticated algorithms, as pointed out in GitHub.

What exactly is a translation? This is the process of communicating the meaning of particular phrases, sentences, and words from one language (source language) into their counterparts in another (target language). The translation can either be verbal or in text format.

In business nowadays, translation is quickly becoming key ingredient to success in a global market. Due to advances in big data technologies, the world has now become a global village. Complex data about other cultures, groups and religions can easily spread across the entire globe. It is also an impossibility for each person to understand every aspect of all cultures across the world. Therefore, as a business, it is important to gain an understanding of your target-market during the marketing process.

Big data is going to be at the forefront of the translation industry in the near future. Our colleagues at Big Data Analytics News state that the future of translation services depend on data technology.

Marketing refers to all the activities undertaken to increase the customer base of a given company, service or product. This is typically done through discounts, bonuses, advertising campaigns, free samples, and corporate social responsibility. However, the bottom-line of the matter is that there will have to be some form of communication throughout all these activities.

Communication in business must be understandable to the consumer. This aims at enlightening him or her about the precise benefits a good or service provides.

The Essence of Translating in Business

Nowadays businesses are increasingly serving a multi-ethnic clientele. This is especially true when it comes to multinationals such as Coca-Cola, Pepsi, Microsoft, Amazon, Toyota, Isuzu and McDonald’s. These companies have stores located across almost all continents in different states far from the main headquarters. Though English is the universal language of instruction and formal communication, there are some regions whereby this language is not spoken natively. It is regarded as a second language. For example, in countries such as Spain, Mexico, Brazil, Portugal, Russia, China, Japan and Italy, the natives speak their vernacular as the official language of instruction and general communication. Big data makes it easier to bridge the gap between people speaking these languages.

Therefore, for a multinational to expand into such territories, they must tailor their marketing to enhance the understanding of the locals. With the power of big data and machine learning, this process becomes a lot easier.

The Process of Localization

Localization is the process of customizing your website or any other product-related content translated into a foreign language. This method is slightly more sophisticated than simple translation methods.

Even for a small business, it is impossible never to encounter foreign tourists while marketing or selling your goods or services. In case these foreigners do not understand even a bit of your local language, you shall experience a challenging time in explaining your products, leave along convincing them to buy.

The world is also increasingly becoming urbanized. This means that in most cosmopolitan towns and cities, you will have to sell your products and services to people from different ethnicities and cultures.  Small businesses might view translation as an additional expense that is not necessary. This can hinder their growth, and competitive edge since language and communication play a huge role in the current business scenario.

Big data helps in two ways. First, companies can use big data to improve their targeting. Secondly, they can use it to develop machine learning algorithms that create content that appeals to the local market.

The Merits of Enterprise Language Translation

The following are some of the advantages that a small business can gain from using big data to adopt translation as part of its marketing strategy:

  • Competitive advantages

In case your competitors are slacking in localization, you can capture this precious advantage to capture a wider market. However, if they have already implemented this move and you have not, you are likely to lag by a wide range. In business, the language the customer understands is much more paramount than your language.

  • New revenue streams

Big data has helped companies identify new markets. Now, data technology also helps them optimize their marketing strategies for those customers. Currently, many big companies are expanding their franchises beyond the confines of their geographical borders. The reason is that it offers a wider consumer base which then translates to greater revenue. However, for a startup or a smaller business, this should not be a priority nor a point of concern. You can focus on expanding within your locality or even within the city. In case it is a metropolitan area, you can focus on the major ethnicities within the region first before expanding.

  • Better communication with both local/foreign customers

Machine learning has played a very imporant role in facilitating communication in many ways. One of the biggest advantages is bridging language gaps. When you speak to your customers in a language they can understand, they can relate more with your product. This is one way of enhancing brand loyalty. The customer feels appreciated by the company since they have taken an interest in his or her language/culture. Furthermore, localization enhances the customer’s understanding of what the product does and how it will solve multiple needs.

In case you are planning to expand internationally, website localization can be of great benefit to translate website features to a foreign language. This is an important benefit that big data offers.  For one, the customer support costs shall be lowered since few will seek clarifications to understand something. What’s more, localization is not only about the language but also customizing the website to the local tastes and preferences. Ensure the currencies, dates and times match the locality. These also include themes, colors, and fonts.  A better understanding of the product also leads to greater customer experience.

  • Enhanced local and international experience

If you have already built your brand name locally, your domestic customer base will increase even more. Furthermore, establishing a website that has information in other languages will endear your products and services to consumers who already have a basic understanding of your offerings. This shall also enhance consumer loyalty.

  • Eradication of miscommunications

There is nothing as damaging to a business brand that a product that was marketed to perform a function different from the actual one. This might be the result of a miscommunication in marketing. You should have a solid understanding of a particular language to avoid exaggerating the promises a certain good or service offers. What’s more, it is essential to abide by the marketing regulations of the target country. This is done through advertising in the official language.

Final Thoughts

In conclusion, you should consider localization as a core part of your marketing strategy just like bonuses and promotions.  It has the potential to bring tremendous benefits to your firm and can put you on the global map.

Big Data Improves Language Translation Services

Big data is transforming the language translation industry. Marketers should embrace its solutions and utilize them to their full potential.

The post Big Data Provides Invaluable Translation Services For Marketers appeared first on SmartData Collective.

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Big data has created both positive and negative impacts on digital technology. On the one hand, big data technology has made it easier for companies to serve their customers. On the other hand, big data has created a number of security risks that they need to be aware of, especially with brands leveraging Hadoop technology.

Big data has created a number of security risks for Bluetooth users. They need to be aware of how their data is stored and the precautions that they need to take.

Bluetooth Security Risks in the Age of Big Data

A few years ago, Information Week published an article on Bluetooth and big data. They said that Bluetooth saw big data as its salvation. Today, the company has discovered that data has created a number of risks.

Some say that Bluetooth technology is dying out, but that is far from the truth. There are billions of Bluetooth-enabled devices in the world that use this technology. Big data has helped the company modernize its offerings. Even though WiFi has replaced our need for Bluetooth to transfer files, people still use it with their headsets, speakers, and other devices. But while Bluetooth allows for an automatic and wireless connection, it can also be a major security risk, as it leaves data vulnerable to interception.

Hackers often use a Bluetooth connection to spread malicious files and viruses. This means that users’ personal information is at risk every time they use a Bluetooth device. The best way to reduce the risk is to turn Bluetooth off. But let’s face it – that’s not really an option.

Therefore, users need to implement various security measures, like using a VPN or data encryption apps. This is where big data could actually be invaluable. New data driven security solutions have proven to be very effective.  Read on to learn four reasons why Bluetooth is a security risk, as well as how you can protect your device.

Common Bluetooth Security Problems

The four most common Bluetooth security issues include bluebugging, bluejacking, blueborne, and bluesnafing. We’ll briefly cover each one before we move on to safety measures.

#1 Bluebugging

Bluebugging is a very common Bluetooth-related hack where hackers use someone’s Bluetooth-enabled phone to make calls and send or read messages. They use a variety of data mining tools to make this possible. These messages might encourage the recipient to take some sort of action that can lead to further data exploitation. What makes bluebugging so dangerous is that the real owner of the device doesn’t know that their number is being used to send those texts. Therefore, they cannot warn the recipient to ignore the content they receive.

#2 Bluejacking

The bluejacking method refers to a simple hack where the attacker sends a message to a nearby Bluetooth user. If targeted, your smartphone then adds the sender to the address book as a contact. The hacker can use this position to send harmful messages that open automatically on your screen. Bluejacking is mostly just annoying, but it can lead to serious problems, so it’s best to secure your device.

#3 Blueborne

Blueborne is perhaps the most dangerous attack. This term refers to a data vector that invades users’ devices via Bluetooth. It can recognize the vulnerabilities in the system and use them against the user. What makes Blueborne so dangerous is the fact that this method does not require the two devices to be paired together. Attackers can even target the devices that are not set in “visible” mode. New machine learning tools have helped them learn to penetrate security more easily than ever. They are then able to take complete control over the device and access any data stored within. Hackers often use the devices that they control to execute larger attacks.

#4 Bluesnarfing

Last but not least, Bluesnarfing refers to the theft of data through unauthorized access via Bluetooth. Hackers often combine the methods of Bluebugging and Bluesnarfing to enter a user’s device and steal data such as text messages, contacts, passwords, or call information.

How to Reduce Bluetooth Security Risks

#1 Turn Off When Not In Use

Hackers are more likely to target people who leave Bluetooth turned on for longer periods of time. Make sure to turn off Bluetooth whenever you are not using it to minimize the risk of an attack.

#2 Keep Your Devices Up to Date

It is essential to use the latest version of Bluetooth and make sure the OS is up to date. Updates carry important bug fixes and solutions that can prevent security attacks. Without them, your device will be vulnerable and visible to hackers who are looking for their next target.

#3 Pair Trusted Devices Only

When using Bluetooth, only pair your phone with devices that you are familiar with. Make sure the other device is also using the latest and updated version of Bluetooth to reduce the risk of data interception.

#4 Use a VPN

Finally, use a virtual private network to encrypt your data and secure the device. Choose a VPN that offers a strong encryption protocol with plenty of server locations. Besides increasing security levels, a VPN will allow you to access geo-restricted content and browse the internet anonymously.

What is the Solution?

Manufacturers and system developers consistently work on improving Bluetooth connections and devices in general. But attackers can always use new data technology and machine learning to find a new way to hack your devices.

Bluetooth attacks can be carried out so easily because people either forget to disable it on their phones or they are entirely unaware of the risks involved. Either way, it is important to stay informed on the latest security risks, like the ones mentioned above. And if you follow the suggested safety measures, you will reduce the chances of your phone getting hacked.

Big Data is Both a Security Liability and Asset for Bluetooth

Big data has created a number of complications for Bluetooth users. While data has created a number of security vulnerabilities, it has also led to new defenses such as VPNs. It is important to be aware of these solutions and take all necessary precautions to keep data safe.

The post 4 Ways Big Data Has Made Bluetooth A Terrifying Security Risk appeared first on SmartData Collective.

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