Automate Your Business Process — Quick, Easy, User-Friendly

 

No matter what industry your business or company is in, automation improves processes, eliminates a lot of paper, errors, and wasted time.

Don’t make the simple mistake of thinking that business process automation is only for large enterprises! Smaller businesses can definitely benefit from countless types of business automation. Whether you already run a business, want to start one, or work for a large corporation, automation is something everyone should be thinking about.

It could be something that revolutionizes your business! Here are 10 quick reasons why you should automate your business processes:

1. Stay Competitive

2. Reduce Error

3. Increase Speed

4. Increase Productivity

5. Build Volume

6. Eliminate Steps

7. Format Compliance

8. Reduce Waste

9. Save Money

10. Expand Capabilities

And to top it off, here are 6 different ways automation can help improve your business:

1. Improve Process Efficiency:

Every business is consistently looking for a way to effectively improve efficiency. If you truly want to become efficient, automation is something you will have to consider. There are so many different ways you can utilize automation to improve processes. It’s all about trying to make sure you don’t waste time on unnecessary process steps. These are the kinds of things that humans are worse at than machines.

Machines can do things over and over again and not make an error or tire. Humans tend to slow down and work at different speeds throughout the day. With that being said, some processes can be made much more efficient by using automation. For example, creating a workflow process using mobile forms or creating an automatic marketing campaign.

2. Reduce Costs:

Saving time and most importantly money is at the top of every business owner’s mind. Manual tasks are performed one at a time and are by nature slower than automated tasks and processes. Sure, there are some tasks that cannot be automated, but a surprising number of them can be. Automated tasks eliminate time-intensive steps like manually filling out customer orders and in turn mailing them, and they reduce paper and ink usage as well because they’re done electronically. Savings in terms of time and resources add up significantly over the course of a year. Think about how much money you spend on paper, ink, and envelopes, and an employee’s time spent on this particular activity in a given year.

3. Ensure Quality and Consistency:

Business process automation ensures processes are carried out with consistency and accuracy because users are stepped through it in a prescribed way every time. That means no steps are inadvertently omitted or forgotten, nobody can cut corners, and you can expect the results of a process to meet standards every single time. This can be valuable in heavily regulated industries where processes must be tracked and audit trails are required since business process automation software can automatically generate audit trails and record real-time analytics.

4. Speed up Processes:

It only makes sense that automated processes are faster than standard manual processes! Think about a process like business purchase orders. When done manually, the result is a pile of paperwork that could potentially be lost from passing around, and time spent writing down line items and information. With business process automation, however, purchase orders can be submitted electronically, and employees can create more in less time. You can even make the process mobile-friendly so travelers can submit purchase orders on the go.

5. Greater Accuracy/Reduce Errors:

In any business, it’s a good idea to ensure that things are accurate. The best way to deal with errors is to prevent the first. When accuracy becomes a problem, your products will become variable and inconsistent. That’s not what any business wants. There are all kinds of examples of machinery that can help you to automate processes and improve accuracy and consistency. Business process automation eliminates paper forms and can make it so blanks must be completed with the right type of information before a form is submitted. Fewer errors mean less time spent tracking down and correcting them. When you do this, it will be much easier to keep your customers satisfied because you can be confident that they are getting top products and services. That could help you to retain customers, as well as generate word-of-mouth sales. Don’t underestimate how important that could be to the long-term success of your company.

6. Easier to Track Data:

With business process automation, data can be collected every time a process happens. That means you are able to analyze your data in real-time. That data can be made into reports that track the metrics that are important to your business. How many employees completed safety training? What percentage of fleet vehicles was reserved on a given day? How many customer services calls come in on Mondays compared to Thursdays? The right business process automation software lets you track the metrics that matter for continual business improvement.

In Conclusion:

Business process automation is for organizations of all types and sizes. It doesn’t require custom programming or a big IT investment. In fact, you can create automated forms and workflows even if you know nothing about programming. Charter Global makes it easy, with an intuitive drag-and-drop form designer. Your electronic business forms can look exactly like your paper forms for a quick learning curve. And forms can easily be connected into workflows that are efficient, less error-prone, and easier to track.

reference :

https://www.charterglobal.com/3-ways-to-automate-your-business-to-increase-efficiency/

https://www.charterglobal.com/reaching-your-q4-goals-with-automation/

https://www.charterglobal.com/giving-the-green-light-with-qa-automation-testing/    

How to Prioritize Features for Your Mobile App

 When you embark on building a mobile app how do you know what features to include and what to leave behind or save for later? If you have a great idea for an app you may want to include everything right out of the gate. This can be detrimental for several reasons and may not ultimately meet the user’s needs

Let’s look at why and how to prioritize features for your mobile app.

Why Prioritize Features for Your Mobile App.

If you have an idea for a mobile app you may already know what you want to do and what your end goal is in your mind’s eye. However for many reasons, it most likely will not be possible to do everything you want to right out of the gate, and it may not be the smartest approach.

If you try to put every feature into your mobile app from the start, you may encounter these obstacles:

1. It is usually cost-prohibitive.
2. You are taking a risk building features you think are needed but might not be.
3. You stretch out the time it takes to get to market, which can open the door for others.
4. You may accidentally launch with features that should have been premium features that could have been monetized, but now can’t.

How to Prioritize Features for Your Mobile App.

In order to prioritize your app features, you will need to step back from the excitement of your new idea and take a more clinical, logical approach.

The idea is to

1. Start smaller.

2. Test your hypothesis.

3. Get feedback from the client.

4. Improve the mobile app incrementally.

The goal is to prioritize according to what is:

1. Critical and absolutely necessary.

2. Important but not necessary for the initial launch.

3. Neat or cool, but not necessary for the initial launch.

Let’s take a look at these categories in depth.

Critical or Absolutely Necessary

Features that are critical are only those necessary to launch the app to some initial test users and which put into action the primary app features. You can sort out these features by asking questions like:

1. What are my app’s killer features?

2. What is the ultimate value my app brings?

3. Does this feature solve the user’s most important problem?

4. Is this feature something you should save as a premium feature for later monetization?

5. Does this feature support an initial objective or a future objective?

6. Is this a nice to have feature?

7. Is this merely a cool feature but not the core feature?

Important but Not Initially Necessary

Features in this category can be saved for app improvement and upgrades, and some may even be able to be added as premium features to monetize your app. These features are those that are important, high quality, or that would be very nice to have and for which users might even be willing to pay. They are features that enhance the primary functions of your app. They typically make the app even more convenient to use.

Neat or Cool but Not Necessary

Those features that are neat or cool need to be evaluated as to their actual contribution to the value of the app. Are you putting too much stock into a cool feature, thinking that it will be what makes or breaks the app? If so, maybe the cool feature is a primary feature OR you may be putting too much emphasis on “cool” vs. “utility”. In some cases, “coolness” is part of the major selling point of the app. In that case, it is part of the primary features.

Also for launch, we don’t want to overcrowd the app with features that make it difficult to understand or difficult to use. Let your user base mature and get comfortable using the core features first, before adding to the complexity. You have to win over their hearts and minds and keeping it easy and simple is the way to go. Think as Apple does. Apps that are streamlined are much more user-friendly and likely to succeed.

Do You Have an Idea for a Mobile App?

At Charter Global Interactive we specialize in helping you build your mobile app from the ground up. We’ve helped customers all over the US with their digital solution needs. We can give you expert insights and suggest how you can build a mobile app and prioritize your app features.

Request a Call or contact us at (888)-326–9933 for a free 15-minute consultation to discuss your mobile app idea. We offer full digital solutions to power and grow your business.

Machine Learning: Benefits to Business — Charter Global

Every industry and sector benefits differently from machine learning algorithms. The impact of machine learning depends largely on the type and amount of data that gets fed into each unique ML tool. Some sectors may also be more suited to ML than others: those that collect massive volumes of data are able to achieve greater accuracy in identifying patterns and predicting consumer behavior.

 

There are several key industries that we believe have the potential to be the biggest winners from predictive modeling.

 

Healthcare. The proliferation of wearable sensors and devices that monitor everything from pulse rates and steps walked to oxygen and sugar levels and even sleeping patterns have generated a significant volume of data that enables doctors to assess their patient's health in real-time. One new machine learning algorithm detects cancerous tumors on mammograms; another identifies skin cancer; a third can analyze retinal images to diagnose diabetic retinopathy.

 

Government. Systems that use machine learning enable government officials to use data to predict potential future scenarios and adapt to rapidly changing situations. Machine learning can help to improve cybersecurity and cyber intelligence, support counterterrorism efforts, optimize operational preparedness, logistics management, and predictive maintenance, and reduce failure rates.

 

Marketing and Sales. Machine learning is even revolutionizing the marketing sector as many companies have successfully implemented artificial intelligence (AI) and machine learning to increase and enhance customer satisfaction by over 10%. In fact, according to Forbes, “57% of enterprise executives believe that the most important growth benefit of AI and machine learning will be improving customer experiences and support.

 

E-commerce and social media sites use machine learning to analyze your buying and search history—and make recommendations on other items to purchase, based on your past habits. Many experts theorize that the future of retail will be driven by AI and machine learning as deep learning business applications become even more adept at capturing, analyzing, and using data to personalize individuals’ shopping experiences and develop customized targeted marketing campaigns.

 

Transportation. Efficiency and accuracy are key to profitability within this sector; so is the ability to predict and mitigate potential problems. Machine learning’s data analysis and modeling functions dovetail perfectly with businesses within the delivery, public transportation, and freight transport sectors. Machine learning uses algorithms to find factors that positively and negatively impact a supply chain’s success, making machine learning a critical component within supply chain management.

 

Within logistics, machine learning facilitates the ability of schedulers to optimize carrier selection, rating, routing, and QC processes, which saves money and improves efficiency. Machine learning’s ability to analyze thousands of data points simultaneously and apply algorithms more quickly than any human enables machine learning to solve problems that people haven’t yet identified.

 

Financial Services. The insights provided by machine learning in this industry allow investors to identify new opportunities or know when to trade. Data mining pinpoints high-risk clients and informs cyber surveillance to find and mitigate signs of fraud. Machine learning can help calibrate financial portfolios or assess risk for loans and insurance underwriting.

 

Manufacturing. Machine learning is no stranger to the vast manufacturing industry, either. Machine learning applications in manufacturing are about accomplishing the goal of improving operations from conceptualization to final delivery, significantly reducing error rates, improving predictive maintenance, and increasing inventory turn.

 

Not unlike the transportation industry, machine learning has helped companies improve logistical solutions that include assets, supply chain, and inventory management. Machine learning also plays a key role in enhancing overall equipment effectiveness (OEE) by measuring the availability, performance, and quality of assembly equipment.

 

Why Charter Global?

The Charter Global development team is highly experienced in creating customized machine learning solutions that locate and identify hidden patterns within your data to help you to gain vital insights into the behaviors of your customers. Rather than guessing at what really drives your business’s profits, you’ll know exactly what’s transpiring with real projects and identifying trends you never would have known about otherwise. Instead of creating a one-size-fits-all machine learning solution, you always know you’ll receive a custom algorithm to fit your business model perfectly.

 

Data can be easily overwhelming for any business but not when machine learning is introduced. Let Charter Global take the hard work out of analyzing your big data! Contact us today to talk about our machine learning development services and how it can expand your business in 2021.

 

What is Full-Stack Development?

 

What is Full Stack Development, Definition?

Full-stack development refers to the development of both front-end and back-end portions of an application. This web development process involves all three-layer- The presentation layer (front end part that deals with the user interface), Business Logic Layer (back end part that deals with data validation), and the Database Layer. It takes care of all the steps from the conception of an idea to the actual finished product.

Having a specialist work on each of the different subsystems of the web development process proves quite complex and expensive. Companies are demanding full-stack developers who are proficient in working across multiple stacks.

Read More: What to Choose between Native or Hybrid Development

What is a full-stack developer?

A Full-Stack Web Developer is a web developer or engineer who works on both the front-end and back-end of a website or application — meaning they can tackle projects that involve databases, building user-facing websites, or even work with clients during the planning phase of projects. Being a Full-Stack Developer doesn’t mean that you have necessarily mastered everything required to work with the front-end or back-end, but it means that you are able to work on both sides and understand what is going on when building an application.

In fact, “full-stack” refers to the collection of a series of technologies needed to complete a project. “Stack” refers to a collection of sub-modules. These software sub-modules or components combined together to achieve the established function while without the need for other modules.

Technology related to full-stack development:

There are some essential technologies that you must learn in order to call yourself a full-stack developer. Here is a quick guide to what technologies you must learn.

HTML and CSS-

To begin your career in web development you must have the fundamental knowledge of HTML and CSS. They are the basic building blocks of the web that enable you to add content and styles to your web pages. So start your journey of becoming a full-stack developer by gaining a sound understanding of these front-end concepts.

JavaScript-

The fact that JavaScript can be used both in front-end and back-end development makes it very popular. It is one of the hottest technologies in the market where continuous innovations take place. With new tools and frameworks getting released every year, one needs a piece of sound knowledge in this area. Knowledge of JS frameworks like AngularJS and ReactJS would help one to write long codes with ease. A solid understanding of jQuery would be an added advantage.

Backend Programming Languages–

After gaining a strong foothold in the front-end arena next comes backend languages like Ruby, Python, PHP, etc. which handle application logic, user authentication, and data operations. Start with a language that is easier to learn. Whatever language you choose, just make sure you are thorough with its nuances. You may learn Node.JS which is based on JavaScript that you would have already learned before reaching this point.

Database & Web Storage-

In order to design and develop dynamic websites, one should surely know how database-driven websites store and access data. Learn the benefits of relational database management systems like SQL. Understand how to connect a backend language with a database. Gain knowledge about web storage so that you know how to store cookies, sessions, and cached data in the browser.

HTTP and REST-

You must gain insights into HTTP- that is the protocol required to facilitate communication between the client and server. You must also know how REST is important to the HTTP protocol and web applications. Knowledge of Chrome DevOps Tools and SSL certificates would be advantageous.

Read more: The Fundamentals of Front End and Back End Development

Additional skills set to adopt as full-stack developers are as follows.

Application Architecture-

Developing complex applications would require a deep knowledge of how the code should be structured, how the data needs to be structured in the database, how to separate files, where to perform computational tasks, and where to host large media files. So a full stack web developer surely needs a deep knowledge of web application architecture.

Version control system-

A full-stack web developer needs to be well versed with a version control system. An understanding of GIT will help you keep track of any changes that you make to the code base.

Acquiring expertise in so many technologies and becoming an expert in all the layers of web development may seem like a daunting task in the beginning. It’ll be hard work learning all of this, but it’s rewarding in the end and Full-Stack Development is fun!

https://www.charterglobal.com/understanding-full-stack-development/

Using IoT to Enhance Your Mobile App – Increase Online Customer Subscription

A healthcare startup was looking for an application development company to enhance their smartphones and a wearable (sensors) application that enables the patient’s family to connect with their loved ones while in hospital, skilled nursing, or memory care facility. The client’s goal was to make the connected world a simpler and more affordable place to live in using the Internet of Things and mobile technology.

 

First, this was accomplished by uploading and displaying personalized videos from family and friends to enhance personal connections and reduce the feelings of isolation and loneliness. Secondly, by using wearable technologies (medical sensors of vitals) to predict and warn users when their medical parameters (Heart rate, SPO2, Stress) are going below or above an established threshold. This essential system also warns the medical staff and family automatically. Periodically, status can be monitored through smartphones.  The application provides feedback regarding how many times the videos are watched by the patient and it is a platform for status updates from healthcare staff via text messages.

 

Challenge:

 

They needed a feature-rich application that could handle thousands of videos being uploaded and shared over the internet. Additionally, it was required to run in a cloud environment and to be developed within six weeks. The current application had the following challenges:

 

1. Feature enhancements took more time to implement due to inconsistent development standards.
2. Frequent (OS) operating system device crashes occurred because of outdated application libraries.
3. Application performance was slow due to existing code quality.
4. The server-side architecture needed to be enhanced.
5. TV functionality needed upgrading to support patient privacy policies.

 

Solution: 

 

The Charter Global team upgraded the client’s application libraries to the latest versions and migrated all of their android and iOS code to support the Android X components. Refactored the TV application codebase to support the updated privacy policy terms. Charter Global’s team identified the root causes for the system crashes and low performance. They designed and implemented solutions that improved the code quality and the performance of the entire application by 100%.

 

Results:

 

As a result of these enhancements, the client was able to increase its subscription base by 50% within six months of deployment to the production environment.

 

Are you thinking about creating a mobile application? If so, Schedule an appointment today with our full-service mobile app developing team.

The post Using IoT to Enhance Your Mobile App – Increase Online Customer Subscription appeared first on Software Development & IT Staffing Company.

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Machine Learning (ML) vs. Artificial Intelligence (AI) — Crucial Differences

Artificial intelligence and Machine Learning are the part of computer science that are correlated with each other. These two technologies are the most trending technologies which are used for creating intelligent systems.

Although these are two related technologies and sometimes people use them as a synonym for each other, but still both are two different terms in various cases.

On a broad level, we can differentiate both AI and ML as:

Artificial Intelligence vs. Machine Learning: Required Skills

Because artificial intelligence is a catchall term for smart technologies, the necessary skill set is more theoretical than technical. Machine learning professionals, on the other hand, must have a high level of technical expertise.

Artificial Intelligence Skills

People pursuing a career in artificial intelligence must have a foundation in:

1. Algorithms, and techniques for analyzing them
2. Machine learning and how to apply techniques to draw inferences from data
3. The ethical concerns in developing responsible AI technologies
4. Data science
5. Robotics
6. Java programming
7. Programming design
8. Data mining
9. Problem-solving

Machine Learning Skills

People pursuing a career in machine learning must have a foundation in:

1. Applied mathematics
2. Neural network architectures
3. Physics
4. Data modeling and evaluation
5. Natural language processing
6. Programming languages
7. Probability and statistics
8. Algorithms

The Future is now with AI and ML 

So, by now, you’ve learned the basic differentiating factors between ML and AI. Machine learning uses past experiences to look for learned patterns, while Artificial Intelligence uses the experiences to acquire knowledge and skills, then applies that knowledge to new scenarios.

It’s clear that both AI and machine learning have valuable business applications, empowering companies to respond quickly and accurately to changes in customer behavior and solve critical business problems.

As the adoption of AI and ML become more commonplace, namely predictive analytics and data science will see a massive uptake in virtually all industries across the marketplace.

Reference Link:

https://www.charterglobal.com/machine-learning-vs-artificial-intelligence-whats-the-difference/

https://www.charterglobal.com/ai-machine-learning/