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mPOS Solutions: Bringing in the Much-Required Changes in Payment Industry

The introduction of the mobile point of sale (mPOS solutions) into the payment settlement scene has revolutionized many business sections – it has simplified and offers several options for cashless payments. Established industries such as healthcare, travel, hospitality, and tourism have embraced the idea of using mPOS systems and endpoints quite extensively. The mobile POS wave has positively triggered the growing payment ecosystem into new heights and this is just the beginning of what has been projected to be on the way.

Easy, smooth, fast and secure cashless payment transactions relieve customers of the obligation of carrying a high amount of cash and at the same time, the business owners can focus on offering improved customer experience. It fastens the sales completion cycle, boosts productivity, saves time spent on manual cash-counting, drives financial accuracy, provides customer satisfaction and overall security.

mPOS Solutions and Systems - Here's Why Mobile Point of Sale Systems Is The Much-Required Upgrade Needed in Payment Industry
Mobile Point of Sale Solutions Adoption:- This post and infographic explains the reasons why we believe the mobile point of sale systems is the much-required upgrade needed in the payment industry. mPOS systems are rewriting the narrative of the ever-growing instant payment space and your business must act fast to integrate this new technology to stay ahead of your competitors.

mPOS solutions benefits for retail business owners

Retail merchants and small business owners benefit greatly by the use of mPOS systems that allows them the flexibility to close sales deals with customers by accepting credit/debit card payments, anytime and anywhere. At the same time, the replacement of cash registers with mPOS endpoints also implies better security from thefts and financial miscalculations.

As the name suggests, the mobile point of sale enables independent merchants and business owners to collect payments on-the-fly without any worry of collecting cash in bulk. Cashless and mobile payment and transactions can be done from anywhere, which also proves to be convenient for the customers. mPOS devices can come in different forms like standalone solutions, smartphones, wireless terminals, mobile card readers and so on. Some of their core advantages are:

Accept payments anywhere and anytime: mPOS solutions allow the merchants to drive sales, sell products to customers and initiate a monetary transaction from any location! Be it a door-to-door delivery service, a farmer’s market or a mobile-business model like a food truck, mPOS systems allow for easy cashless transactions accepting different types of card payments.

  • Enhance customer experience and sales opportunities: Usage of mPOS devices allows merchants to provide a more personalized experience to their customers. For instance, in a crowded retail store, floor executives approach the customers to use mPOS devices for a fast check-out option while exploring cross-selling options. This doesn’t only help customers with better experience and convenience but also instills a positive brand image for repeat purchases.
  • Helps businesses become EMV ready: For business owners and merchants, using mPOS devices make them ready to accept EMV cards in a non-expensive and easy way. Easy and fast deployment of mPOS systems and endpoints make it further seamless for the merchants to migrate to EMV in order to avoid being responsible for fraudulent credit card transactions and chargebacks.

Apart from these key benefits, NFC enabled mPOS solutions also allow customers to leverage contactless payment platforms like Apple Pay, Samsung Pay, Amazon Pay, Android Pay, which are gaining popularity with time. These solutions too, are easier to implement and are inexpensive for the merchants to consider. mPOS systems can also be integrated with value-added services like discount and loyalty offers.

Check out the Infographic to glean interesting insights about the current trends and future market of the mPOS solutions industry.

mPOS solutions – here’s why mPOS systems are the much-required upgrade needed in the payment industry.

Why mobile point of sale systems is the answer to unending prayers of payment industry advocates
Why mobile point of sale systems is the answer to unending prayers of payment industry advocates.
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Mobile App Web Development & Design Ideas

Data Science – 6 Pointers on How Web Developers Can Leverage Data Analytics to Solve Problems

In its simplest definition, data science is a method used to solve complex problems. This often involves a multidisciplinary blend of information extraction, data inference, program development, and application of technology.

In its technical description, data science is the practice of learning, mining, storing, moving and using data that comes in different forms. This includes troves of hard information, stored data, unstructured and semi-structured data such as text files, financial logs, multimedia forms, instruments ad sensors. Since this includes a diversity of data in huge volumes, simple BI tools are incapable of processing it. With data science, developers are able to use more complex procedures with analytical tools and advanced algorithms, to analyze this data and generate meaningful insights out of it. When used in creative ways, data science can build turn-key solutions and generate great business value for the user.

In this article, we will share 6 ways developers can leverage from data science in their programming and product building operations.

6 Ways How Developers Can Leverage from Data Science
What are different ways website and mobile app developers can leverage data science to create solutions for real-world problems?

Understanding User Behaviors

Developers use data science to discover important information on user behaviors. This includes, how users are interacting with a particular website? What are their most commonly visited pages? Which products do they buy the most? What improvements do they want on the website?

This allows developers to effectively build patterns in consumer behaviors and integrate self-learning programs in websites so customers get exactly what they want when they interact with it. This up-gradation process can be automated on regular intervals so the demands of customers are met without the developer needing anything to do.

Data Visualization

Another way developers use data science to their advantage is by producing visual data from raw data. With data science, developers are able to visualize data using different methods and data visualization tools such as d3.js, ggplot, Tableau, and Matplottlib. This allows them to easily convert complex results from different projects in a structured format that is easy to understand and present. As a result, organizations are able to manage data head-on and grasp all the insights that are necessary for acting on a particular business opportunity. Its gives a broader range of knowledge and builds the organization a competitive edge in the market.

Machine Learning

Learning data science helps developers attain a deeper understanding of machine learning and develop better algorithms for programs. Data science gives exposure to a range of learning such as neural networks, adversarial and reinforcement learning, decision trees, supervised machine learning and logistic regression to solve problems that are the core of algorithmic architectures. Machine learning uses large amounts of data sets which data science can help translate and transform. Developers that are skilled in data science make great resources for AI development in organizations.

Machine learning algorithm
Machine learning algorithm in action showing how it is possible for an artificial intelligence system to gather data for storing, sorting, measuring, and proper usage.

SQL Database/Coding

Since NoSQL and Hadoop are now a central component of data science, developers are able to code and solve complex SQL queries more effectively. With Structured Query Language (SQL) programmers can carry out complex operations for adding, extracting or deleting data from different databases. It also helps in executing analytical functions and transforming database structures more effectively. Learning data science gives developers the edge they need SQL, allowing them to access, write, present data in any database. SQL uses concise commands which saves the developers time by shortening the amount of coding for different queries.

Python Development

Data science shares a lot of benefits for Python coders and is very commonly practiced in their programming tasks. Due to its versatility, Python as a language has a close connection with data science and is used in several stages of data inference. Python developers use data science to understand and move different formats of data and import SQL tables straight into their coding. With data science, a Python developer can create datasets and search for almost any form of dataset required on Google.Python Development

Web App and Extension Development

Web app developers use data science for remembering user’s preferences and study them to understand their lifestyle. Once all this data is collected and translated, these apps become ideal private assistants, smart repositories and even trustworthy partners. Using datasets, web app developers can program these apps to give uses reminders on their daily activities, provide suggestions, and identify gaps to prevent harmful habits. With data science, the dawn of AI-based web apps has already begun as developers are using data-driven strategies and developing self-learning extension for websites. Many Magento 2 extensions are developed using data science for predictive analysis for the merchant like, frequently bought together products, frequently viewed together products, etc.

Conclusion

Data Science is not just about managing data, it’s about store it, moving it one place to another, and ultimately using it and produce clever things. With its innumerable benefits in development, we have shared 6 methods ways how developers can leverage from it and use it to derive scientific methods, improve their coding, design algorithms, refine data, and improve user experience through their web platforms. 

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Cloud Computing Technologies and Resources News

Use of Cloud is Growing With Cloud Security Concerns

As companies moved to the cloud to simplify their IT management, including improving security, they’re learning that it’s not as simple as “shift applications to the cloud and watch the magic happen.”

It’s not that most organizations see it that way, but that is how it is when the companies feel it one way to better security. It’s why it’s been a rough couple of years for cloud security. And while recent vulnerabilities disclosed such as Spectre and Meltdown have cast a long shadow over the ability of enterprises to defend themselves enterprises need to be vigilant for potential exploitations.Network Data Connection - Use of Cloud is Growing With Cloud Security Concerns

One thing that security concerns are not expected to cast any shadow on cloud sales. A recent market research data released by QYResearch forecasted the global cloud computing industry to grow by roughly 26% from 2017 to 2022.

This current bevy of hardware flaws won’t slow that demand down any time soon. According to a report from Synergy Research, and reported in CRN, the overall cloud market grew 24% last year.

“Over the past four quarters leading up to September of 2017- essentially Q4 of 2016 to Q3 of 2017 – cloud sales, including on all services and all infrastructure products used for building clouds, achieved an overall market of $180 billion,” Joseph Tsidulko wrote in his story Cloud Computing: Now A $180 Billion Market.

According to the story, cloud infrastructure and platform services grew 47 percent, with hosted private cloud growing 30 percent. That’s quite a clip.

The unfortunate reality is, however, that many organizations don’t need a low-level hardware flaw in the infrastructure of their cloud providers to make themselves vulnerable. They can do that all on their own. Perhaps it was the rush to the cloud that is part of the reason why there have been so many cloud-related breaches, such as when a poorly configured AWS S3 bucket exposed thousands of military and intelligence personnel records to unauthorized public access. According to the story, thousands of military contractor files allegedly left online, unsecure, published in The Hill, those files included personal contact information.

“Chris Vickery who works at UPGUARD as researcher said he discovered some set of unsecured resumes on a public-facing AWS cloud server in July that was left unprotected by any form of login. Typically, this happens as a result of misconfigured security settings.

It’s certainly not the only example last year. Verizon exposed millions of customer records due to another unprotected S3 bucket. Dow Jones experienced a similar gaffe. In fact, throughout 2016 and 2017 we witnessed many poorly configured cloud-based databases being breached.

Fix it with a minimal effort

As if organizations weren’t having a challenging enough time keeping their environments secure, along came to the vulnerabilities Meltdown and Spectre just recently made public by Google. These hardware flaws affect almost every current processor and, through exploitations against “speculative” code execution, attackers can capture passwords and private encryption keys. Filip Truta provides an overview in his post, Meltdown and Spectre: decades-old CPU design flaws put businesses at risk. And fixing some of these precarious hardware glitches can have a significant impact on the cloud systems performance

“Not only did we see significant slowdowns for many applications, but we also noticed inconsistent performance, since the speed of one application could be impacted by the behavior of other applications running on the same core. Rolling out these mitigations would have negatively impacted many customers,” wrote the Google Cloud team in this blog post.

Most organizations do not have just one, or two, or three cloud service providers to worry about. According to RightScale’s 2017 State of the Cloud Report, 85%t of survey respondents are using multi-cloud, with most running production applications in four clouds.

“Companies now run 79% of workloads on the cloud, with 41%of workloads in the public cloud and 38% in private cloud. It is essential to note that the workloads running in the private cloud may consist of workloads running in present virtualized environments or bare-metal environments that have been “cloudified,” the report states.

Turns out the move to the cloud weren’t the security nirvana many (incorrectly) expected. And effective cloud management requires all of the things that traditional and on-premises systems require – good asset management, classification of data and resources, having the right security controls in place and monitored; as well as good incident response and business continuity plans.

So as enterprises clouds scale, we have seen threats and other risks to cloud apps and data. This is why cloud security strategy has to scale as cloud adoption grows more complex. One good place to begin, or make sure your company’s cloud security strategy is on point is, the Cloud Security Alliance’s most recent Guidance for Critical Areas of Focus in Cloud Computing 4.0 is a great place to start.

The guidance 4.0, as detailed by the Cloud Security Alliance, functions as a practical roadmap for those on the lookout for safety and to securely adopt the cloud model.

According to the Cloud Security Alliance, about 80% of the guidance was revised to better embody the current and future state of cloud computing security and reflects real-world safety measures for cloud practices.

While we are still a long way away from cloud security Nirvana, there are many enterprises and other organizations can do to bring more serenity to their current environments.

Study the Infographic below from Synopsis titled 10 Critical Cloud Security Threats for 2018 and Beyond.

Study the Infograph below from Synopsis titled 10 Critical Cloud Security Threats for 2018 and Beyond.

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Business Cloud Computing Technologies and Resources Featured

How Big Data Solutions Inform Big Business Decisions

Exactly how big is big data? Micro-blogging platform Twitter sees almost 340 million tweets on a daily basis. Every second, ten thousand people use their credit cards one way or another. Where does all this information go and how is it stored? All over the world, almost three exabytes are created every day. It sounds like a small number but if you think of a single exabyte as one billion gigabytes, you’re in for a treat.

As institutions, governments and businesses utilize more of technology in paperless filing and work management systems, data begins to accumulate exponentially. This creates problems in data storage, processing and transfer. To properly capture, analyze and manage the massive amount of data, big data solutions are crucial. Databases, spreadsheets and other software tools are simply not enough, especially if a company is about to undertake a major project or management move. What exactly can these solutions do for businesses and how can these be used to make better business decisions?

How Big Data Solutions Inform Big Business Decisions

Big data services collect and make sense of data

There are different types and sources of data. Everything from banking, politics, science, sports and retail has its own data sets that, in their raw form, are basically useless unless they are made sense of and analyzed. Data comes in two forms: structured and unstructured. Spreadsheets may work for structured data but companies will benefit more from solutions that are developed to handle both forms.

The right tools for the job

Large volumes of data cannot be poked at with a toothpick. Data analysts need a full arsenal of tools to help them undertake more accurate analyses in less time, which can help companies make more informed decisions. Traditional data processing applications and database management tools just don’t cut it when dealing with thousands of exabytes coming in from multiple sources. Analyzing big data demands a lot of resources in order to be able to discover business trends and patterns of consumer behavior.

Big data solutions provide insights

The key to making good business decisions lies in knowing what the current situation is and seeing where the industry is headed.

What are the kinds of information businesses require?

Product usage trends, consumer preferences and behavior patterns and location data are just a few of the data sets that have within them a wealth of insights that, when tapped, can be the best resource any business can have.

ALSO READ: Big Data Management: Steps to Manage Big Data in the Cloud

Big data solutions are able to collect, analyze and interpret data to come up with an infinite source of knowledge that can be used in a company’s decision-making process. What products or services do consumers use most of the most during the Holidays? What do Twitter users rave about in the mornings? Knowing the answers to these questions may help businesses decide what next to do in their marketing plan and social media strategy. In addition, the insights garnered from big data analysis can be used to improve products and services.

Using big data provide companies with myriad opportunities for business development. In order to take advantage of what big data can offer, companies should see big data solutions as a wise and long-term investment. After all, it’s not how large the volume of data is but what companies do with it that really counts.

For discussion on this subject, Big Data Solutions and its benefits for your business, please make use of the comment box below.