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Buyer's Guide
Application Lifecycle Management (ALM) Suites
June 2022
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Vice President at a tech services company with 51-200 employees
Real User
Top 10
The features and capabilities are great and come with excellent customer support
Pros and Cons
  • "For visualization capabilities, the automation capabilities make it possible to support the different personas. The features and capabilities are excellent and come with excellent support."
  • "The machine learning features are a new capability but could be improved. This is being worked by Digital.ai currently. Multicolor simulation, specifically, could be improved."

What is our primary use case?

The Excel Release and Excel Deploy is part of the continuous delivery management stack and we use this to plan release automation. We also use it to standardize complex enterprise scale application deployments in complex environments, usually using virtual machines, containers and cloud infrastructure.

How has it helped my organization?

It has accelerated issue resolution and reduced lead times. It has helped to increase communication. From a high-level perspective, it has increased software delivery speed and reliability.

What is most valuable?

For visualization capabilities, the automation capabilities make it possible to support the different personas. The features and capabilities are great and come with excellent customer support.

What needs improvement?

The machine learning features are a new capability but could be improved. This is being worked on by Digital.ai currently. Multicolor simulation, specifically, could be improved. 

For how long have I used the solution?

We have been using this solution for 5 years. 

What do I think about the stability of the solution?

It is a very stable solution.

What do I think about the scalability of the solution?

It is a scalable solution. 

Currently, less than 10 staff are using this solution as the specific project we are using it for is in the early stages. 

How are customer service and support?

The customer support is excellent. The one aspect that could be improved from a support perspective is the personas and machine learning capabilities.

Which solution did I use previously and why did I switch?

We previously used Azure DevOps and have a strategy to integrate Agility.ai and Azure DevOps. We would use Agility.ai for enterprise planning in a scaled environment and Azure DevOps would be used on a team level. The integration of the two tools would be used for delivery pipelines.

How was the initial setup?

We focused on cloud deployment and it took one week.

What about the implementation team?

We used a vendor and we had a great experience

Which other solutions did I evaluate?

We evaluated Atlassian, which includes Jira, and Siemens Pularium.

What other advice do I have?

Digital.ai Agility is an excellent tool to implement or adopt safe frameworks. Staff should have some knowledge and engage in training so that they know what they are doing. You need some time and experience to understand all the dependencies of the tool.

I would rate this solution a nine out of ten. 

Which deployment model are you using for this solution?

Public Cloud

If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

Google
Disclosure: I am a real user, and this review is based on my own experience and opinions.
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Independent Contractor
Real User
Top 20
It's a flexible solution that scales from traditional agile to SAFe
Pros and Cons
  • "Agility is highly flexible. It can do much more than what our client is doing with it. They use it in a defined way. Some at that company have a much broader knowledge of agile and SAFe, but they're given applications and a mandated way to work. We had to work within their parameters and provide an accurate transition so the data would be mapped and pushed through."
  • "In my work as a contractor, it's always frustrating when a client has multiple software applications that don't talk to each other and they all perform the same function. That presents a huge challenge between their IT groups."

What is our primary use case?

Our client uses Agility in a highly defined way, but it's not flexible. That's what we brought to the table. We handled the transition and mapping to take data from Jira and define a mapping solution in Digital.ai then push that upstream through to Clarity. Then we map the data to terminology because the hierarchies are very different between safe and agile.

They're a siloed organization, but the C-suite executives don't care, and they're not going to change that. They're unwilling to change their software, but they want reports, so they brought us in to reconcile this and push the data that they need to file their financial and forecasting reports. 

Even though if, in the strictest methodology sense, it didn't make that much sense but from reporting it was able to push the data. You wouldn't normally mach, for instance, a feature to an epic. You wouldn't do that because they're not at all the same. Things like that. They took terminology from Jira and they mapped it through to Agility and then took from Agility and mapped it up to Clarity. Actually, that interface was done first, the Agility to Clarity.

What is most valuable?

Agility is highly flexible. It can do much more than what our client is doing with it. They use it in a defined way. Some at that company have a much broader knowledge of agile and SAFe, but they're given applications and a mandated way to work. We had to work within their parameters and provide an accurate transition so the data would be mapped and pushed through.

What needs improvement?

In my work as a contractor, it's always frustrating when a client has multiple software applications that don't talk to each other and they all perform the same function. That presents a huge challenge between their IT groups. 

For how long have I used the solution?

I did not use Agility before this current project, so I've only been using it for five or six months. I don't have a lot of hands-on experience with Agility, but I know Rally and Jira like the back of my hand. In the past, I worked on a project where we used seven versions of Jira, and I had to define a new methodology for the company. 

Which solution did I use previously and why did I switch?

I've used Jira and Rally in the past, but we're using Digital.ai because it's crucial to our clients. Agility can scale from traditional agile to SAFe. Jira is great, but it's so customizable that you can get into trouble sometimes. At the same time, a lot of companies use Jira. I'm not a flag-waving fan of Jira, but it was the first one in that space, and that's how it got its hold in the market. Today, a lot of other great products have come along. I like Agility's scalability and flexibility. Honestly, I even like Rally better than Jira.

How was the initial setup?

I wasn't involved with the setup. I just deal with the mapping components.

What other advice do I have?

I rate Digital.ai Agility eight out of 10. Before implementing Agility, I would consider your use case and requirements. What were you going to use it for? Is it strictly internal? Are you working with lots of other clients that might default to Jira? 

I recommend defining your use case and deciding if Digital.ai Agility is suitable. I prefer Agility out of the three applications we work with because it has the most flexibility and can work at a higher level. It can also be scaled to profile for either SAFe or standard agile. Having something flexible and scalable gives a company a better opportunity to have a support application that can be used by different business units or technology units within the firm. I recommend doing your homework, looking at requirements, and making decisions. I rank Agility among the top five.

Which deployment model are you using for this solution?

Public Cloud

If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

Other
Disclosure: My company has a business relationship with this vendor other than being a customer: Partner
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Buyer's Guide
Application Lifecycle Management (ALM) Suites
June 2022
Get our free report covering Atlassian, Broadcom, Atlassian, and other competitors of Digital.ai Agility. Updated: June 2022.
610,812 professionals have used our research since 2012.