Saas

Top 10 Advantages of Custom SaaS Development

What is SAAS?

Software as a Service or SaaS is a cloud-based application delivery model that provides users with access to software through the internet, eliminating the need for extensive hardware setup.

SaaS applications are licensed on a subscription basis, offering a flexible and cost-effective alternative to traditional on-premises software.

One key feature of SaaS is its cloud-based nature, allowing users to access applications directly through web browsers without the requirement for complex infrastructure. This eliminates the need for businesses to invest in and manage extensive IT resources, as the SaaS provider takes care of deployment and maintenance.

The subscription model of SaaS is another distinctive aspect, involving monthly or annual fees that cover software licensing, support, and any additional expenses. This contrasts with traditional on-premises software licenses, which are often on going and require a one-time purchase.

SaaS development spans across many different applications, including mobile apps, HR management tools, payroll and accounting solutions, resource planning software, and customer relationship management (CRM) systems.

These applications cater to diverse industry needs, providing businesses with efficient and scalable solutions.

Overall, SaaS offers businesses the advantages of easy accessibility, cost-effectiveness, and scalability, making it a top choice for organizations seeking efficient and modern software solutions.

 

SaaS VS On premise software

Software delivery presents itself in the form of two prevalent models, Software as a Service (SaaS) and traditional on-premise software, with the primary distinction can be seen in the method of access and payment structure.

Traditional software requires an upfront purchase of a usage license, typically covering only one device or user. This involves substantial initial costs, regardless of whether the software is bought individually or bundled with other purchases. The installation process also incurs additional fees, with licenses needing individual purchase and installation at full upfront prices.

Contrastingly, SaaS platforms operate on a subscription basis, allowing businesses to utilize applications on an ongoing basis, typically monthly or annually. This differs from the conventional upfront licensing fees associated with traditional software.

A key advantage of SaaS is its flexibility, enabling users to cancel subscriptions when not required, thereby avoiding substantial upfront licensing costs.

The cloud-based nature of SaaS brings additional benefits. Being cloud-based allows for remote updates of applications, ultimately eliminating the need for businesses and users to update each computer individually.

This not only simplifies the update process but also safeguards against protracted, binding contracts, offering both users and companies greater flexibility.

SaaS emerges as a favorable option due to its adaptability and cost-effectiveness. As the software landscape continues to evolve, the prevalence of SaaS services has increased, providing notable advantages over the traditional software purchase model.

10 Advantages of custom sass

1.  Customization

SaaS applications are highly acclaimed for their user-friendly customization options, contributing to their widespread popularity. The appeal of SaaS lies in the extensive customization capabilities it offers.

This ability to customize allows businesses to tailor software and applications to align seamlessly with their unique design requirements.

SaaS also allows users to benefit from the convenience of online access to applications from any location.

This accessibility feature empowers users to request upgrades or specific modifications directly through the system, enhancing the overall flexibility and adaptability of the software.

The ability to access and customize applications from virtually anywhere adds a practical dimension to SaaS that contributes to its widespread adoption.

 

2. Better Global Access

Some software installations come with restrictions that tie them to a specific computer or IP address. This can pose challenges when dealing with factors like relocating to a different country, hiring international staff, business travel, or company relocations. SaaS, on the other hand, eliminates such constraints by allowing users to access the software from anywhere with an internet connection. This flexibility not only promotes increased productivity but also helps in avoiding the need for workforce reductions.

With SaaS, the accessibility of software is not constrained by geographical or IP limitations. This proves especially beneficial for businesses dealing with global operations, allowing seamless access and collaboration.

The established code in SaaS facilitates smooth project collaboration, ensuring that technical barriers or delays don't impede the workflow.

Overall, SaaS offers a practical solution for businesses dealing with the dynamic nature of modern work environments and global connectivity.

 

3. Device Compatibility

Another notable benefit to SaaS software is it frees users from the limitations of a single device or location.

Regardless of the chosen device, whether it be it a computer, laptop, tablet, or smartphone, anyone can access and utilize this service. The seamless compatibility of SaaS ensures a pleasant user experience across different devices.

While the flexibility of SaaS is beneficial, software developers encounter challenges when creating code that works seamlessly across various platforms. Unfortunately, this aspect is sometimes overlooked by app developers who may not fully grasp the intricacies of SaaS. It's crucial to acknowledge these challenges to ensure that SaaS applications maintain their universal accessibility and user-friendly experience.

 

4.  App Integration

Furthermore, SaaS leverages the power of Application Programming Interfaces (APIs) to create a cohesive and interconnected environment.

The Application Programming Interface (API) acts as a bridge that connects clients, applications, and servers.

In this context, a client relates to the data users input into an application using devices like keyboards. One of the notable strengths of SaaS lies in its ability to seamlessly integrate with various business models, marking a key advantage.

The effectiveness of this integration is facilitated by advanced APIs. These APIs ensure a smooth connection between the servers of SaaS vendors and users, allowing interfaces to interact without encountering errors or inaccuracies. This capability enhances the overall functionality of SaaS applications and contributes to the efficient integration of business processes.

 

5. Ease of Management

When looking at Conventional software solutions, it can typically take days or even weeks to resolve issues.

In contrast, SaaS services operate under clear Service Level Agreements (SLAs) that outline the responsibilities and roles of both the consumer and the vendor. This ensures a swift resolution to issues.

These SLAs specify the timeframes for answering queries and providing accurate responses. Beyond that, they offer legal protection to clients that ensure accountability, and prevent disruptions to workflow or productivity caused by software issues.

SaaS applications bring several advantages, including seamless updates, robust security measures, and the encouragement of long-term client relationships. These factors collectively contribute to the appeal and effectiveness of SaaS solutions.

6. Multi-tenant Architecture

SaaS empowers customers to customize their applications without delving into the intricacies of modifying its code. Vendors adopt a multi-tenant architecture, where each SaaS user account functions as a tenant. This architecture allows multiple users to collaborate seamlessly by sharing databases and resources within a shared system. The advantage here is that vendors take care of necessary updates to hardware and related applications, saving users both time and money.

The appeal of a multi-tenant architecture lies in its cost-effectiveness, providing tenants with affordable access to the latest software updates and upgrades. This approach ensures that users can enjoy the benefits of cutting-edge features without the burden of managing complex technical updates themselves.

 

7. Lower Upfront Costs

Creating a customized SaaS solution can result in significant cost savings for businesses. Unlike traditional software, Software-as-a-Service (SaaS) eliminates the need for upfront expenses related to purchasing and installing software. Moreover, ongoing costs like upgrades and maintenance are also reduced.

In addition to direct cost savings, businesses can benefit in other ways. Instead of investing heavily in hardware resources, SaaS is easily downloadable and requires minimal maintenance. The pay-as-you-go model of SaaS ensures that businesses only pay for the specific software services they use, avoiding unnecessary expenses on licensing for applications that go unused. This approach contributes to a more efficient and cost-effective software solution for businesses.

 

8. Scalability

Being web-based, SaaS provides easy modification of its features to align with your business needs. Regular updates enhance system sophistication, minimizing data loss through automated backup and patch processes, granting your company the flexibility to scale SaaS up or down as needed.

In terms of payment flexibility, SaaS outshines traditional software licenses that demand substantial upfront costs and annual renewals. Unlike SaaS, which allows for periodic usage without hefty lifetime commitments, traditional licenses often necessitate significant upfront investments.

With SaaS, you have the convenience of purchasing extra storage space as needed through the cloud, and any subscriptions for features no longer required can be promptly canceled, providing cost-effective adaptability for your business.

 

9. Minimize Downtime

Opting for a custom SaaS solution not only brings cost savings but also significant time efficiency for businesses. The complexities and time-consuming aspects associated with the installation and maintenance of traditional software are bypassed when opting for custom SaaS.

As a business shifts to a SaaS vendor, quick access to applications becomes seamless through an internet connection and a straightforward log-in process. The heavy task of intricate installations becomes non-existent, with the vendor taking charge of all maintenance responsibilities. This not only simplifies the process but also minimizes the risk of expensive downtime.

 

10. Security, Data Recovery, and Back-ups

SaaS provides a secure haven for a business's IT infrastructure and data, housed in cloud storage at a remote location. This setup ensures that even in the event of damage or destruction, operations can swiftly resume from an alternative location through the cloud. 

A significant benefit of developing a custom SaaS solution lies in the enhanced security measures it offers. Over recent years, SaaS solutions have evolved to become a highly secure platform, providing business with a reliable space to store valuable business data.

In comparison to traditional data storage methods, SaaS is often considered more secure. Custom SaaS solutions ensure the proactive protection and management of platforms, servers, applications, and data by dedicated data security specialists.

By outsourcing to an external software development partner with expertise in IT security and custom SaaS solutions, businesses gain confidence and peace of mind, knowing that their data is in capable hands, further highlighting the security advantages that come with custom SaaS solutions.

 

Final Thoughts

In conclusion, opting for custom Software as a Service (SaaS) solutions brings a multitude of benefits for businesses. SaaS, with its cloud-based delivery model, offers easy accessibility, cost-effectiveness, and scalability. It eliminates the need for upfront costs and ongoing expenses associated with traditional on-premises software. The flexibility of SaaS extends to device compatibility, allowing users to access applications seamlessly from various devices.

Moreover, the integration capabilities of SaaS, facilitated by Application Programming Interfaces (APIs), create a cohesive and interconnected environment. Customization options empower businesses to tailor software to their specific needs, promoting user-friendly experiences.

Multitenant architecture in SaaS fosters collaboration among multiple users, while lower upfront costs, scalability, and ease of management contribute to overall efficiency. SaaS not only minimizes downtime but also enhances security, data recovery, and backup measures.

The ever-changing landscape of SaaS services reflects its adaptability and cost-effectiveness, making it a preferred choice for businesses seeking modern and efficient software solutions. The advantages of custom SaaS development extend beyond mere cost savings, encompassing time efficiency, flexibility, and heightened security—ultimately providing a comprehensive and advantageous software solution for businesses in diverse industries.

Do you think your business could benefit from custom SaaS development? Let us know in the comments below.

If you need any help or guidance with custom SaaS development or AI implementation feel free to contact us. We are a team of experts who can help you design and implement the best custom software solutions for your business.

 

Written by Natalia Duran

ISU Corp is an award-winning software development company, with over 17 years of experience in multiple industries, providing cost-effective custom software development, technology management, and IT outsourcing.

Our unique owners’ mindset reduces development costs and fast-tracks timelines. We help craft the specifications of your project based on your company's needs, to produce the best ROI. Find out why startups, all the way to Fortune 500 companies like General Electric, Heinz, and many others have trusted us with their projects. Contact us here.

 

The 6 Best Programming Languages for Artificial Intelligence

Artificial Intelligence (AI) is seeing wicked adoption rates in 2023, so much so that the most successful companies in the world are finding unique ways to integrate it. Take Facebook for example, they’ve innovated and re-branded into Meta to show their intentions of branching beyond a social media platform. While services like Skype, once a mere video call platform, have now integrated chatbots that can be used just as you would Chat GPT.

On the back end, software engineers are using AI tools to enhance the coding process, but this raises the question; who’s building the platforms that do the building? Now, AI tools are in no way suggesting that software engineers will be out of jobs anytime soon; rather, it’s a step in the direction of enhanced results from developers since programming can now be done more efficiently. 

Who’s Interested in Using AI Extensions?

Integrating AI into your platform can be done on any size scale using tools like Chatbots, Machine Learning, process automation, etc. What’s important to know is that for a platform to measure the effectiveness of artificial intelligence solutions, the main place to pay attention to is customer satisfaction. Recent research is suggesting that AI improves customer retention by nearly 70% and that those who are most interested are aged between 18-24.

How to Make It Work for You

The future of AI technology is unfathomable right now because it’s still too new with so much left to discover. 

While the future of AI technology is still unfathomable due to its novelty, programming is the backbone of anything digital, making mastering AI a top priority for software engineers. With that being said, here are the 6 best programming languages that help software engineers create seamless AI platforms:

1) Python

There is no debate when it comes to AI development that Python is a necessity. It’s an interpreted language which means that programming can be executed on the fly without needing to be compiled. 

The important role that machine learning plays in AI performance should be noted. Machine learning trains the system to act a certain way and is a key subset of AI. During AI integration, this makes development happen fast and machine learning algorithms can be tested quickly. 

2) Java 

Java is a language that can be used in just about any platform to handle the server side (behind the scenes) of the operation. Software developers will resort to using Java when building AI solutions, specifically when they’re trying to build a multi-faceted application or incorporate machine learning algorithms. 

Outside of AI, there is a strong case for Java being a more efficient option for certain tasks than Python since it’s compiled. However, software development is contextual. For instance, if a FinTech was implementing software for data analysis, Python would be the better option. 

3) Julia

This language is fairly new in the programming world with a small community of software developers utilizing it already. Though it’s not as widely used as other languages, it has earned its position among the best options for AI programming languages.

The main draw to Julia for software developers is its performance and speed which is said to be greater than Python due to its compiled nature. Oftentimes, Julia is used for data analysis which is why it’s commonly compared to Python.

4) R

R is a language with one primary role in AI development; number crunching. Data is significant and difficult to handle during software development, which means that to arrange it efficiently, you’ll need some math skills. This means that R will come in handy during machine learning development.

With that being said, here are some of the best R packages for Machine Learning development:

  • CARAT: Useful for training integration and predicting models. 

  • Gmodels: Provides tools for fitting models.

  • Nnet: Perfect for AI as its purpose is to replicate how the human mind functions. 

  • Tidyr: As the name implies, this package is used to tidy up data. Specifically by observing rows, inserting variables in columns, and value in cells.

5) Lisp

Any seasoned software developer with experience in AI will tell you this is one of the oldest languages still used in software development.  The name is an abbreviation for “list processing” which makes the language a great option when working with complex data structures. 

A few features under the hood of Lisp include:

  • Program modification (into data)

  • Rapid prototyping

  • Creating dynamic objects

  • Collecting garbage

  • Running programs based on data structures

The program remains highly sought after because it’s highly flexible and easily able to express the programmers’ intent.  

6) C++

This language is known, like many of the other languages we’ve listed, for its speed and interoperability with machine learning and neural networks. As anyone would guess, developing an AI application is highly complex and data-intensive which makes having languages that are quick, reliable, and efficient a necessity for software engineers

When it comes to AI, C++ is going to be able to handle a lot of low-level programming which translates directly to a programmer's ability to manage the production of AI models. 

Choosing a Programming Language

Tech stacks are chosen based on several factors that every project entails. First, what resources are available? What kind of budget is the team working with? What is the timeline, talent expertise, hardware and infrastructure involved, etc? Considering the languages we’ve looked into in this article, some strong tech stack choices would include:

  • PyTorch: Supports Python, C++, and CUDA.

  • OpenCV: Supports  C++, Python, MATLAB and Java.

  • TensorFlow: Supports Python, C++, and Javascript

  • Keras: Supports Python

This gives a sense of how software developers would structure the infrastructure for an AI platform and also demonstrates that languages complement each other to build something great. 

The Takeaway

Software development services are highly adaptable which is what makes them so sought after by businesses of all sizes. If you’re trying to find the best programming solutions for your business, you’ll need to evaluate the long-term goals driving that desire. 

AI is just another step in the direction of inevitable change that industries are undergoing as a response to the advancement in consumer interests and the technological resources available to accommodate them. If you think your business deserves these enhancements to respond to the changes in your industry, don’t hesitate— get started.

Written By Ben Brown

ISU Corp is an award-winning software development company, with over 17 years of experience in multiple industries, providing cost-effective custom software development, technology management, and IT outsourcing.

Our unique owners’ mindset reduces development costs and fast-tracks timelines. We help craft the specifications of your project based on your company's needs, to produce the best ROI. Find out why startups, all the way to Fortune 500 companies like General Electric, Heinz, and many others have trusted us with their projects. Contact us here.

 
 

How the Waterfall Methodology Promotes Productivity in Software Development Teams

For years the Waterfall methodology has supported software development projects. Some may consider it outdated with the sheer complexity of most projects and the flexibility required in the modern day. Of course, now agile approaches are very popular, and it could be argued that they were developed to get away from Waterfall altogether. If you’re unfamiliar with the key differences between the two, all you need to know is that agile releases software in increments whereas Waterfall has a strict process leading to a final output followed by verification and maintenance.

Agile was created to put an end to the common notion among project managers who believed Waterfall to be the only approach for software development. In reality, all methods are simply guidelines for problem-solving. Waterfall was super popular in the 1990s since it added structure to huge software development projects. The structure looks something like this:

  1. Planning: Identify the goals of the project. This is also where the project manager needs to figure out the requirements for the project. These requirements will depend on the project sponsor's needs and involve identifying risks, dependencies, assumptions, costs, quality metrics, and the timeline. 

  2. Design: This is where all decisions are put in writing. The decisions are, in this case, based on legitimizing the requirements for the project. In this phase, you’ll outline the project's goals, budget, and schedule.

  3. Implement: This is where you execute the planning and design phase to materialize the product. This is a critical part of the Waterfall; everything done during this phase must be tracked.

  4. Verify and Test: During this phase, testing is done to ensure that the product you’ve created serves the requirements of the project. If anything goes wrong, the team must go back as far as the first phase to identify what happened. Quality metrics are used during the testing phase to ensure the client's satisfaction. 

  5. Maintenance: The maintenance phase goes past project management and now focuses on the product's longevity. Changes are made as needed to improve what was delivered in the implementation phase.

Bird-eye view of a macbook pro displaying code.

Let's make it clear that the Waterfall— like any other methodology— is not perfect, but it’s often enough to get the job done and still is. A 2017 study shows over 50% of organizations still use it in their software implementation model. The key to a great software development team is knowing what calls to make in the best interest of your team. Sometimes these calls are going to fall outside the scope of convenience to reach an optimal outcome. 

So, why were other methods created?

One of the primary concerns with the Waterfall method is that a mistake made in an early phase could be costly and detrimental later on. All methodologies are meant to add structure to software development. In 2022, it’s all about speed; whether it's deployment, access to data, or SSL performance, the list is endless. The point is, this is the purpose that agile methods were created to serve. It provides results quickly and continuously innovates to adapt to the needs of the user. 

When would you use Waterfall?

You have to first consider how different every software development project is. There is seldom a product output that doesn’t require changes. In addition, development teams need to make their budget and timelines clear to the client or co-workers from elsewhere. These are the kind of issues Waterfall takes care of since it has a very clear structure. Now, this may frustrate developers who want to interact with the client as much as possible, but it can be a necessary sacrifice to ensure quality over quick deliverables.

Another example is when persuading outside your project, whether attracting investors, seeking department approval or if you think there will be collateral effects. Waterfall can be easier for those outside to understand. Think about it: your intentions for the project are clearly outlined from the planning and design phases which, in effect, kind of drill the end goal into the teams' vision and mitigate the risk of deviating. 

For teams and projects on a small scale, there are a lot of benefits to be found in operating under this kind of focus. Teams can complete the project faster without worrying about allocating time and resources to non-priorities. So, in this instance, working on a small project or in a small team means you’ll need a framework that promotes communication among members and a clear-cut process. 

Waterfall and communication

Waterfall is very systematic and procedural; there should be no shock that communication would be an essential part of every step. Information sharing is far more efficient when documentation is consistent throughout the process. Anyone new brought into the project throughout the phases will be able to refer back to the documentation which makes Waterfall a great communication tool to keep the team in sync. 

In some cases, especially with new teams, communication and getting to know each other can be difficult and negatively impact performance. Of course, this should be mitigated in the case of any team but software development projects are usually operating in a condensed time frame with little to no room for speed bumps. 

So with that being said, take inventory before your team begins a new project. You can do this by considering these questions:

  • Who are the stakeholders? How can my efforts serve them?

  • Is my team reliable? Do I plan on bringing in extra help?

  • What is the primary end goal?

  • How much time and budget do we have to work with?

  • How will we manage mistakes to not interrupt our end goals?

It’s very difficult to predict the road ahead when beginning a new project, but it will help to first Identify your requirements so you can meet that of the client’s. What hurts a lot of teams is communication barriers and a lack of transparency. 

The Takeaway

Finding the best route to take when beginning a new project is difficult, but choosing a framework that’s right for the team (not just developers) will make the process smoother. The planning stages are usually the most difficult, but when that is the case, execution is often far more efficient. If you’re new to the concept of software development, it likely sounds chaotic, which is why it is so important to work with an experienced team of professionals that can see through the chaos and bring a polished product to the table. 

Written By Ben Brown

ISU Corp is an award-winning software development company, with over 17 years of experience in multiple industries, providing cost-effective custom software development, technology management, and IT outsourcing.

Our unique owners’ mindset reduces development costs and fast-tracks timelines. We help craft the specifications of your project based on your company's needs, to produce the best ROI. Find out why startups, all the way to fortune 500 companies like General Electric, Heinz, and many others have trusted us with their projects. Contact us here.