Differentiating Between Application Lifecycle Management (ALM) and Product Lifecycle Management (PLM)

Application lifecycle management (ALM) and product lifecycle management (PLM) are both terms you’ll hear a lot when preparing to go to market. But which is the right fit for your product? How can you know?
Both ALM and PLM are approaches used to manage and improve the development, testing, and deployment of products. Understanding the key differentiators between the two can better illustrate how to combine each approach to enhance project management efficiency.
What is Product Lifecycle Management?
Product lifecycle management (PLM) is used to define the course of a product’s creation, development, and production. It can also include the steps relevant for ALM, as it serves as an umbrella term for the strategy that goes into developing any product, whether software, a device, or anything in between.
What are the core PLM components for devices?
The main phases in PLM are the following:
- Concept Design: This stage involves developing design requirements through market research and identifying potential customers.
- Product Development: The product is designed, made as a prototype or MVP, and iterated on until it is ready for the next stage.
- Manufacturing: For physical products, this stage includes obtaining materials, building the product, and testing it to check the quality and functionality. The product is then released to customers, marketed, and eventually retired when it is no longer in demand.
- End-of-Life Management: The final step dictates how management of the product is stopped and how the retired product is disposed of.
Supply chain management and product data management
Developing a product encompasses multiple departments, including supply chain and product data management. Successful supply chain management informs whether your team stays on schedule and budget. Product data management includes — but isn’t limited to — tracking the data tied to technical specifications and production costs. Both of these stages are key influencers in a well-defined product lifecycle and can reduce redundancies and ensure alignment across your team.
What tools are commonly used in PLM?
There are plenty of tools to choose from to help manage every stage of the product life cycle. PTC Windchill and Siemens Teamcenter are both PLM management tools used to share product designs, track iterations, and automate lifecycle processes.
PLM tools can be integrated with other software tools used in designing and manufacturing products and managing supply chains. This can be done through automated data syncing, which can streamline processes by keeping information as up-to-date as possible.
Benefits and challenges of PLM
Effectively managing product life cycles can cut down on production costs, speed up development time, and make it easier for teams to collaborate and innovate. Robust supply chain and product data management enhances product quality and simplifies compliance with regulatory requirements.
The challenges with implementing PLM tend to be the cost of implementing new processes, learning complex new strategies, and getting teams on board are all obstacles to overcome. Training users, implementing PLM in phases, and ensuring effective communication across teams within the organization can reduce friction.
What is Application Lifecycle Management?
Application lifecycle management (ALM) is a subset of PLM that focuses specifically on software. For clarity’s sake, we call this the “software development lifecycle” at Simbex, and it serves as a specialized form of PLM. It’s the process for developing and maintaining application-based solutions, and adapts the broader PLM stages accordingly.
No matter what you call it, developing and managing the lifecycle process of a software application is critical. It provides a clear definition of the software’s purpose, keeps development aligned, and facilitates team communication to ensure efficient creation of the software.
What are ALM’s core components?
The main phases in ALM are the following:
- Requirements Management: This phase involves collecting information on what the software application needs to do, what functionalities it should have, and how users will interact with it.
- Development: The requirements are used to build the application by writing programs, checking quality, and defining what tasks need to be completed.
- Testing: The application undergoes component and end-to-end testing to identify bugs, places to improve software performance, and any other issues. Once the software has been thoroughly tested, it moves on to the final phase
- Deployment: The application is launched for users, with ongoing management of updates and integration of user feedback.
Continuous Integration (CI) and Continuous Delivery (CD)
Continuous integration and continuous delivery impact all four phases of ALM. Continuous integration involves making frequent updates to the source code, building the software system, and testing it. Continuous delivery is a similar principle in which software updates are built and tested in short, incremental cycles to reduce the risk associated with making large changes.
What are some common ALM tools?
Jira, Git, and Jenkins are all software tools designed to help with project management. Jira focuses on tracking issues, Git is mainly used for projects with branches and staging, and Jenkins is a flexible tool for automating projects.
For complex projects, most ALM tools can be integrated with other tools used for software development, testing, and deployment. This can save a lot of time and help keep projects and teams on track. They can also be integrated with tools used by non-development teams, such as marketing and operations, to enhance collaboration across the organization.
While many applications have some built-in integrations, there are only a few to choose from. However, tools like Zapier can be used as a go-between to sync data between thousands of applications once they are properly set up. Integrating data across multiple teams with tools like this can make it easier for each team to operate to the best of their ability.
Benefits and challenges of ALM
Adhering to some or all of the ALM principles can facilitate better coordination among team members, enhance the quality of software applications, and shorten the time required to release the application to end users. This also enhances documentation practices, traceability, and compliance, streamlining the onboarding of new team members and accelerating the speed and reliability of software iterations.
When implementing ALM practices, your team might be faced with a number of challenges: getting teams on board with new processes, setting up ALM tools and integrations, and navigating the complexity of a new system of strategies.
Communicating with team members about how ALM can help save time and effort can push forward the initial buy-in. Investing in training can be valuable, allowing teams and managers to allocate time to effectively learn and integrate ALM into their workflows. Organizations can also consider an incremental adoption so that employees can adjust to new strategies at a gradual pace.
When to use Application Lifecycle Management vs. Product Lifecycle Management?
Although both ALM and PLM deploy similar ideologies, it’s important to understand your product needs well enough to determine the right path forward. Depending on your product, broader PLM tactics may be well-suited, or ALM could be specifically tailored to address your unique requirements. To reiterate, ALM’s objective is to streamline the creation of software applications, and PLM focuses on optimizing the lifecycle of all products.
When to have ALM and PLM work together?
If your product includes both a digital and physical product, it will be very important for your team to create a dynamic PLM-ALM strategy. Products that involve a physical product and supporting application might need both the broader PLM tactics and the specifics of ALM to manage their software needs. These integrations can make it easier to track lifecycle dependencies and interactions, make informed decisions, and analyze risks. Understanding how each approach complements the other is important to ensure all the aspects of your product’s development will be covered.
The Role of Product Management in Performing ALM and PLM
Understanding your product needs will help inform your next steps in PLM, and therefore ALM. That’s where a product manager comes in. They’ll need to navigate these decisions and the evolving landscape for their product.This requires a combination of creativity, strategic thinking, collaboration, and leadership. For example, during the introduction stage, a product manager might work with marketing to educate early adopters and validate assumptions before launch. During the growth stage, they might focus on maximizing revenue and market share.
However, product lifecycle management is a complex process with a lot of moving parts. Your team or product manager (if you have one) may need additional support and expertise when deploying PLM tactics for the first time.
Learn more about ALM and PLM
Finding the right partners in developing, manufacturing, or deploying your product can make or break your success as you prepare to go to market. Implementing these strategies well can increase efficiency and communication across the entire lifecycle, which can save an organization time, resources, and money.
Simbex can help you navigate the intricacies of lifecycle management strategies. The right partner makes it possible to scale techniques to your unique product. From initial product conceptualization to commercial strategy, Simbex can contribute their expertise at any stage. We strive to offer premier services, by every measure through your commercialization process.
Deploying PLM strategy is most effective when you understand your consumer needs clearly and extensively. If you haven’t developed a mature market understanding, Simbex commercialization services can help.