30 Days Minimum Viable Product Wisdom

When anyone sets out to design and market a new product or system of any kind, their first inclination is likely to be to make the first release of that product or system the most functionally rich and complete that it can be. There is, however, a growing acceptance that releasing a minimum viable product (MVP) to early adopters is a far more efficient way to develop a new product or system and one that will ultimately lead to a much better deliverable.

What is a Minimum Viable Product?

The concept of a minimum viable product, which has been popularized by Silicon Valley entrepreneurs Steve Blank, and Eric Ries, is a design and development process in which a new product, such as an app, is developed and initially released with only sufficient functionality to satisfy the needs of the early adopters. Further features and functionality are only added to the product after consideration has been given to the feedback that has been received from those early adopters.

A minimum viable product is a product that has sufficient value to make people want to use it and that has been sufficiently developed so that early adopters can see the future of the product. The aim of MVP is to provide a feedback loop that can be used to guide the future direction of product development.

The advantages of the MVP

Developing a product using the MVP model has distinct advantages over the traditional, all-in-one-go, approach. Here are the main reasons why an MVP produces better apps.

Removes uncertainty

A system spec can only be, at best, a guess of what users will do with an app, how they will interact with it and what functionality they will need from the app. An MVP takes much of the guesswork out of product development and allows time for the feedback of users to drive the development of the product.

Eliminates wasted time

If you attempt to develop a fully completed app-based only on system spec, it is virtually guaranteed that you will develop functionality that users don’t use or functionality that doesn’t quite meet their expectations. It is far more cost-effective, therefore, to develop an app that has all the basic minimum functionality and then lets the user feedback be what dictates the future development of the product.

Applies the 80/20 principle to the development process

The Pareto (80/20) principle is never truer than it is in software development. 80% of the most important requirements of an app are likely to be cared for by just 20% of the functionality. The MVP focuses early development time on getting the essential 20% right so that 80% of essential user needs will be met with the first release.

Improves development focus

The MVP development model allows developers to focus on the development of core functionality first, followed by the development of additional functionality. This is a much more efficient way of developing a product than attempting to develop many aspects of functionality simultaneously. It allows the focussed use of resources on fewer aspects of the app, which ensures that each element of an app is completed to the highest specification.

It allows a product to evolve

Evolution has created some of the most complex and efficient systems on the earth, so why not let a product evolve too? What begins as an MVP can evolve naturally, through end-user feedback, and refinement via subsequent development iterations.

The Wisdom of the Aezion Inc. 30 Days MVP Development Model

The 30 Day MVP model does not doggedly insist that any product can be delivered as an MVP in 30 days. Instead, it recognizes, and leverages, the realization that the 30-day constraint (when applied with carefully crafted and optimized facilitation, design, planning, development, and usability testing techniques) can sharpen focus and improve project and custom software development process efficiency.

These efficiencies accrue as a result of the following:

Greater focus: A 30 days development constraint can further sharpen the focus by forcing prioritization and squeezing out all but the essential aspects of the app idea.

More efficient project structure: In contrast to conventional agile MVP processes, the Aezion Inc. approach defines and validates the entire multi-sprint MVP deliverable at the outset during week 1. This process eliminates the uncertainty often associated with open-ended agile processes and provides the dev team with a highly actionable solution definition that can be implemented sequentially by one team or in parallel by multiple sub-teams to meet the desired timeline.

We concede that our 30-Day MVP Model is unusual and is not suited to everyone and every software project; but if our approach resonates with you or whets your appetite, please schedule an appointment to discuss your app requirements.

Why Mobile User Experience UI/UX Design Matters

Mobile User Experience UI/UX Design Why It Matters

When designing a digital presence, whether it is a website or a mobile app, attractive graphics and engaging content are not the only things that matter. One aspect of the web and app design that many designers still overlook is the need for good user experience design. But, what exactly is user experience design (UX Design), and why does it matter so much? Here’s why every business must think about the user experience when they design websites and apps.

What User Experience Design Is

User experience design is often used to describe the usability of an application or the user interface. The true meaning of UX design, though, goes far beyond that. UX design encompasses the entire process of software design and development. It includes branding, functionality, design, integration, and usability. UX designers look beyond simply creating usable products. They also consider the user’s pleasure and enjoyment in acquiring and using the product. UX design is the process of creating applications that are relevant and meaningful. Applications that users want to use. So, how can UX design benefit a business?

UX Design Encourages Use Interaction

Creating content is not enough. You need to create content that people will want to interact with. That includes written content, images, advertisements and calls to action. UX design includes techniques that encourage user interaction. These techniques include producing content that will appeal to the target audience. It also includes personalization features, such as “You may also like” types of functions. A UX designer will also be looking at consistency throughout an app or site. Software that is predictable and comfortable to use is software that people will want to use. 

UX Design Generates Loyalty

UX design creates customer loyalty through great experiences. An easy to use app or website backed by great service will encourage a user to use the then again. To do this, a UX designer will create a customer journey map (CJM). This maps a user’s entire journey through the site or app. This journey will be thoroughly tested to ensure that a user’s interaction with the product is as smooth and trouble-free as possible. It’s putting the design team in the shoes of the user. 

UX Design Generates Recommendations

The good UX design encourages word of mouth recommendations. The ease of use of a well-designed site or application and the usefulness of it will encourage people to tell others about the product. A part of UX design is to make sharing easy. A free recommendation from a user is far more powerful than a paid-for advertisement.

UX Design Reduces Development Costs

UX design keeps a project within budget and reduces development costs. UX design includes extensive user research, prototyping, and usability testing. This ensures that development time is targeted on the areas of functionality that matter. This focused approach means better initial design specs, less risk of feature creep, and more relevant content. It greatly recuses the need for last-minute redesigns and enhancements.

UX Design Reduces Internal Costs

UX design is end-user focussed from the outset. That concentrates design and development effort on what users want, not on what developers think they want. As well as saving money on development costs, UX design stops businesses from wasting internal resources. For example, UX design will help identify the products that people want. This would allow sales and marketing efforts to be focussed on profitable products, rather than the less profitable ones. It also reduces support costs by reducing the need for manual intervention.

UX Design Increases Profits

UX design can have a direct impact on the bottom line. It has been proven that 75% of people judge an app or website on its aesthetic design.  People are more likely to buy from a well-designed website or app than they are from an unappealing one.

The easier a site or app is to use; the more people will use it. That is true for the entire journey that a user takes through the app or website. From how fast the screens and pages load, to how easy it is to sign up for an account and place an order. If all the steps are easy, a user is more likely to progress to the final step of making a purchase or completing a desired action.

UX design seeks to reduce the number of user interactions to a minimum. It also guides the user through processes with clear calls to action. The overall effect of UX design is increased revenues, reduced costs, and improved customer satisfaction.

Historically, websites and mobile apps have been developed with the needs of the business in mind. UX design is reversing that trend and putting the needs of the user first. Consumers are becoming more and more experience-driven. Global online spending is increasing at a phenomenal rate. Businesses that don’t adopt UX design principals may soon find themselves trailing far behind the competition that does. Benefits of the web-based system.

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9 Essential Features of Successful Mobile Applications

Features of Successful Mobile Applications

With almost 4 million mobile apps available for download on Google Play alone, it can be difficult to see how you can develop a business mobile app that will stand out. However, as adults spend an average of nearly 4 hours a day using them, mobile apps are not something that a modern business can ignore.

A mobile application is a software application designed to run on smartphones, tablets, or other mobile devices. Mobile apps are usually developed in one of the programming languages like HTML5, Swift, or Java. They can be downloaded from app stores or accessed through links that are provided by the developer.

Mobile applications are different from normal applications as they have to be able to operate independently without relying on installation on a desktop computer. Moreover, they have to be compatible with multiple platforms and form factors.

There are many aspects of a mobile app that will determine its success. But, if you get the core principles right, it will go a long way towards making your app an app that people want to use. Here are the key features that any mobile app will need if it is to be a success.

1. Successful Mobile Apps Satisfy a Need

Any type of product needs to satisfy a need. When you are designing a business mobile app, you should not simply copy what your competitors are doing. You should think outside the box and think big. A successful mobile app is one that solves a problem for its users better than any other solution. It is an application that makes a user’s life simpler. 

2. Simplicity

While people are spending more and more time on mobile apps, the amount of time they are willing to spend on any one app is very limited. For that reason, an app must be easy to access and easy to use. Content and functionality need to be available with a minimum of user interaction. A key design feature of a good mobile app is effortless simplicity.

3. Customization

Allow the users of your mobile app to customize the app the way they want it. That can be as simple as giving them control over the fonts and the colors. Or, it could be allowing users to save their own favorites. Customization gives the user a sense of ownership. Once they have the app the way that they like it, they will be less willing to switch to using a competitor’s app.

4. Performance

Speed is of the essence with mobile apps. Mobile app users are often multi-tasking. So, if an app takes too long to load or to perform a function, users will switch off and do something else instead. Performance testing will be part of the development cycle for a mobile app. However, ongoing performance testing will also be needed to ensure that changes to the app do not cause any performance issues.

5. Develop for Android and iOS

It is important to develop mobile apps for both Android and iOS. These are the two most popular platforms. This can be achieved by developing the app in a cross-platform development framework, like Xamarin. Cross-platform development tools reduce the total cost of development and make your app available to a wider audience.

6. Social Integration

Social media integration is a must for most types of mobile apps. For simplicity, you can allow users to sign in with Twitter or Facebook. Users love to share their experiences too. So, allow users to share posts or purchases easily. It improves the user experience, and it can be a valuable form of marketing.

7. Feedback

Make it easy for users to leave feedback. It creates a sense of involvement and it shows that your business listens to its customers. It should be simple for a user to leave reviews and comments. You should also encourage comments about the functionality of the app. It will help you to improve your services and it will help with the future direction of the app.

8. Security

Recent well-publicized online breaches of confidentiality have made app security even more important. It is a fundamental requirement of any mobile app that users’ private data remains confidential. It is also important that the users know that robust security is in place. So, make sure that the app’s confidentiality statement is easy to locate.

9. Offline Functionality

It is natural that most apps will require an internet connection to work fully. However, there should be some features that will work off-line as well. If an app can offer even limited functionality offline, it could represent a major advantage.

Upgrades and Support

A business mobile app will need ongoing development and support. That will be both in terms of fixing bugs, and in terms of ongoing software enhancements. An app needs to be kept fresh and relevant. If a mobile app stagnates, users may become bored and switch to a more modern app.

The way that people access the internet is changing. Mobile device access to the internet has already surpassed desktop access. Today, businesses, large and small, need to develop mobile apps if they are going to stay ahead of their competitors. Developing an app for the sake of an app, though, will be counterproductive. Mobile apps of the future will need to connect with and engage customers. They will need to be easy to use, relevant, and they will need to fulfill a need.

When you’re ready to consider a mobile app for your business, choose a development partner like  Aezion Inc. The platform, mobile application development experience.

Python Programming For Data Science and Machine Learning

Python is a general-purpose, high-level, object-oriented, and easy to learn programming language. It was created by Guido van Rossum, who is known as the godfather of “Python”.

                         

Python is a popular programming language because of its simplicity, ease of use, open-source licensing and accessibility — the foundation of its renowned community which provides great support and help in creating tons of packages, tutorials, and sample programs.

Python can be used to develop a wide variety of applications — ranging from Web, Desktop GUI based programs/applications to science and mathematics programs, and Machine learning and other big data computing systems.

Let’s explore the use of Python in Machine Learning, Data Science and Data Engineering.

Machine Learning

Machine learning is a relatively new and evolving system development paradigm that has quickly become a mandatory requirement for companies and programmers to understand and use. See our previous article on Machine Learning for the background. Due to the complex, scientific computing nature of machine learning applications, Python is considered the most suitable programming language. This is because of its extensive and mature collection of mathematics and statistics libraries, extensibility, ease of use and wide adoption within the scientific community. As a result, Python has become the recommended programming language for machine learning systems development.

Data Science

Data science combines cutting edge computer and storage technologies with data representation and transformation algorithms and scientific methodology to develop solutions for a variety of complex data analysis problems encompassing raw and structured data in any format. A Data Scientist possesses knowledge of solutions to various classes of data-oriented problems. And expertise in applying the necessary algorithms, statistics, and mathematic models, to create the required solutions. Python is recognized among the most effective and popular tools for solving data science-related problems.

Data Engineering

Data Engineers build the foundations for Data Science and Machine Learning systems and solutions. Data Engineers are technology experts who start with the requirements identified by the data scientist. These requirements drive the development of data platforms that leverage complex data extraction, loading, and transformation to deliver structured datasets that allow the Data Scientist to focus on solving the business problem. Again, Python is an essential tool in the Data Engineer’s Toolbox — one that is used every day to architect and operate the big data infrastructure that is leveraged by the data scientist.

Use cases for Python, Data Science and Machine Learning

Here are some example Data Science and Machine Learning applications that leverage Python.

• Netflix uses data science too, to understand user viewing patterns and behavioral drivers. This, in turn, helps Netflix too, understand user likes/dislikes and predict and suggest relevant items to view.
• Amazon, Walmart, and Target are heavily using data science, data mining and machine learning to understand the user's preferences and shopping behavior. This assists in predicting demands to drive inventory management and to suggest relevant products to online users or via email marketing.
• Spotify uses data science and machine learning to make music recommendations to its users.
• Spam programs are making use of data science and machine learning algorithm(s) to detect and prevent spam emails.  

This article provides an overview of Python and its application to Data Science and Machine Learning and why it is important.

 Aezion Inc. Solution Architects, Engineers, and Custom Software Developers can assist you in exploring Python-based solutions for your Data Science and Machine Learning applications. Contact us to learn more.

Overview of Python Programming Language

Python can be used to develop a wide variety of applications — ranging from Web, Desktop GUI based programs/applications to science and mathematics programs, and Machine learning and other big data computing systems.

Let’s explore some key aspects of the Python programming language to get a feel for core features and Python’s user-friendly syntax.

                         

Python – A Multi-Paradigm Language

Python is a multi-paradigm programming language. Meaning it supports different styles of writing code. One can write Python code in a procedural, object-oriented, functional or imperative manner. For this reason, Python is considered a “swiss army knife” in the developer's toolbox.

As an “object-oriented” programming language, Python supports all the core features of OOP such as abstraction, encapsulation, polymorphism, inheritance, etc. The foundation of OOP is a Class. A class is defined to represent an object that can later be programmatically created and manipulated. The class definition consists of attributes (data) and methods (functions) that collectively define the configuration and behavior of an object.

A Python program consists of a collection of classes representing key elements and their behaviors within a system.

Encapsulation

Encapsulation allows one to hide the internal details or implementation of one object from other objects (s). This protects against accidental or direct access and modifications to the data. Python relies on Encapsulation and other conventions to manage access and usage of class variables or methods. One can restrict access to variables/methods with public, private and protected. A variable or method that is prefixed with double underscore “__“ is treated as private in Python.

Polymorphism

The word “Polymorphism” means many forms. Polymorphism is a feature of OOP that allows one to define multiple forms for a common interface. Python’s implementation of polymorphism is similar to other object-oriented programming languages such as C++, Java or C#. Method overloading and overriding are two different ways with which one can achieve polymorphism in the Python programming language.

Defining a class

A class is defined using a keyword – class. Here’s an example of a student class — consisting of the constructor __init__ — a specific method that gets invoked as part of the object creation.

The code snippet above and below are reused from Reference: Python Class – https://pymbook.readthedocs.io/en/latest/classes.html

Notice how the methods are defined using the keyword – def. Notice also, that the ‘print_details’ method takes ‘self’ as a parameter and prints the student name, branch and year.

Inheritance 

Inheritance is a core object-oriented concept in the Python programming language. It allows one to reuse or extend the functionality or features of one or more classes that are “inherited” in a new class. The concept of inheritance in Python is similar to other high-level programming languages such as C#, Java, etc. 

Let’s define a Person class with a method to get the person’s details. 

Now, let us revise the “Student” class to inherit from “Person” so it can get all the features of the person. 

Once we inherit from the person, the student gets the behavior “get_details”. Notice, however, that the revised Student class overrides the behavior of “get_details” and adds its own functionality.

Note – It’s up to the implementor to decide whether to override a method or not.

This article provides an overview of the Python programming language, its core features, and simple, accessible syntax. Hopefully, this brief introduction provides a glimpse into Python’s simplicity and encourages you to explore it as a potential addition to your programmer's toolbox. 

Aezion Inc. Solution Architects, Engineers, and Custom Software Developers can assist you in exploring Python-based solutions for your Data Science and Machine Learning applications. Contact us to learn more.

A Blog – Its importance & Why Every Business Needs One

In today’s digital world, every business needs a website. Modern business owners and managers understand the need to have a presence on the web. What is surprising, though, is the number of businesses that don’t leverage the power of a blog at all. Or, they have one, but they rarely update it. Here’s a look at what you are missing out on if you don’t make regular use of one.

A Blog Grows and Strengthens a Brand

A blog helps to build and strengthen a brand. Without one, building a brand can be an uphill struggle. It provides you with the opportunity to connect with customers and prospects and allows you to convey the ethos of your business. It also gives you a platform on which you can tell the stories that will create interest in the brand and foster brand loyalty.

It Fosters a Community

Blogs help you build a community around your brand. They can encourage feedback, reviews and comments. When you post relevant and engaging content, the community will grow. As more people subscribe to your blog, you will create a valuable list of people interested in your products, services, and your brand.

Blogging makes you an Authority in Your Sector

A business blog is a platform from which you can build your authority in your sector. You can show that not only you do you sell products or services, you are also experts in your field. You can post technical articles, tips and advice, and opinion pieces. This will gain the trust of readers.

A Blog Will Boost Your Search Engine Rankings

When you post content, you can target your profitable keywords and improve your position in search engine results. Good quality content posted regularly will make it much easier for people to find your website. Google favors websites that have fresh, relevant content. A website with a blog will always outperform a website without one.

Blogs Allow You to Post Timely Content

Modern content management systems like WordPress or Drupal make posting to a blog a simple task. It is usually something that you can do in-house. That means that you can react fast to industry trends and developments. You can post comments on current events and increase the relevancy of your brand. A blog allows you to demonstrate that you are at the forefront of your industry. 

Blogging Breeds Innovation

A hugely beneficial side-effect of producing regular content is that it breeds innovation within your organization. To write blog posts, you will need to keep updated with industry developments. You will need to research competitors and new technologies. The combination of research for new posts and the feedback you get on your blog will help you formulate new ideas for your business.

It Is an Integral Part of a Good Digital Marketing Strategy

A blog is an important part of a coherent digital marketing strategy. It can provide detailed information that is needed to turn lead into a sale.  Blog posts can contain a level of detail that you can’t have in social media posts. You can lead prospective customers from digital advertisements or social media posts to a re-enforcing blog post to a call to action at the end of a post.

Your Free Public Relations Platform

You can use a blog for PR purposes. You can announce new products, events or key appointments. Unlike some other PR platforms, you have full control over your this effective means of directly communicating with your audience. 

                  

Blogging Generates Leads 

People are more likely to subscribe to an informative blog than other types of mailing lists. If you produce useful content on a regular basis, you will soon start to see your mailing list grow. Once you have a list of subscribers, you can send them invitations to corporate events, details of special offers, and company news. Be sure, though, that you don’t overdo it, or you will start to lose subscribers.

A blog can be the foundation of a business’s marketing, PR and brand development. It can also be a very important part of the sales funnel. The business of blogging does, though, need to be taken seriously. The wrong type of content can backfire. If you post engaging content that is relevant to your brand image and the sector you operate in, a blog can indeed be a very powerful business marketing tool.