Digital.ai Agility (formerly VersionOne) helps organizations harness the power of their people’s knowledge, processes, and technology to build agile practices that scale across the enterprise. Its capabilities enable organizations to align products and investments with strategic business goals by coordinating planning, tracking, and reporting work across large distributed companies. Digital.ai Agility connects business strategy with team execution, providing a unified view at all levels,…
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Hive
Score 8.4 out of 10
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Hive Technology offers their eponymous project management and process management application, providing integrations with many popularly used applications for productivity, cloud storage, and collaboration.
Digital.ai (formerly XebiaLabs, CollabNet VersionOne, and Arxan)
Scenarios where it works well: 1) Retros can be very well facilitated & notes/action items can be captured against the sprint. 2) Product Owner can effectively track the story progress with all the test-cases, design etc. 3) Being good scaling support, it provides good visibility across multiple teams, programs and agile portfolios, providing a centralized environment where all our stakeholders can easily work together regardless of location. 4) It provides easy tracking all of your epics, stories, themes, defects, tasks, tests and issues 5) I like its intuitive UI as for moving stories around, burning hours. 6) It allows top leadership to visualize and report their strategic plans, giving all stakeholders the relevant data that they need to stay dedicated to the project priorities. 7) It can be easily integrated with slack so for few teams we used slack for collaboration Scenarios where it did not work well: 1) Test Management need improvement in terms of tracking tests, team had hard time tracking regression test cases. 2) Version one comes with lot of features like Rally but here we don’t get customizations which is there in Jira where from workflow to issue everything can be customized based on your team/program/portfolio requirements. 3) Lot of navigation to access basic stuff. Example I want to go to bug attachment , there are lt of clicks & navigation need to do which should be pretty straightforward I feel.
Hive is a powerful tool for data analysis and management that is well-suited for a wide range of scenarios. Here are some specific examples of scenarios where Hive might be particularly well-suited: Data warehousing: Hive is often used as a data warehousing platform, allowing users to store and analyze large amounts of structured and semi-structured data. It is especially good at handling data that is too large to be stored and analyzed on a single machine, and supports a wide variety of data formats. Batch processing: Hive is designed for batch processing of large datasets, making it well-suited for tasks such as data ETL (extract, transform, load), data cleansing, and data aggregation.Simple queries on large datasets: Hive is optimized for simple queries on large datasets, making it a good choice for tasks such as data exploration and summary statistics. Data transformation: Hive allows users to perform data transformations and manipulations using custom scripts written in Java, Python, or other programming languages. This can be useful for tasks such as data cleansing, data aggregation, and data transformation. On the other hand, here are some specific examples of scenarios where Hive might be less appropriate: Real-time queries: Hive is a batch-oriented system, which means that it is designed to process large amounts of data in a batch mode rather than in real-time. While it is possible to use Hive for real-time queries, it may not be the most efficient choice for this type of workload. Complex queries: Hive is optimized for simple queries on large datasets, but may struggle with more complex queries or queries that require multiple joins or subqueries.Very large datasets: While Hive is designed to scale horizontally and can handle large amounts of data, it may not scale as well as some other tools for very large datasets or complex workloads.
Simplicity, it offers a clean environment without risking the outcome. An example of this are the timesheets that allow a fast way to keep track of progress
Interaction, the different options make it faster and easier to interact and collaborate in the development of a product. An example of this would be Hive Notes for meetings
The different visualisations it offers allow to explore the best ways to affront your projects. I really like the Gantt mappings view to understand who can be contacted at each point
Digital.ai (formerly XebiaLabs, CollabNet VersionOne, and Arxan)
Although Digital.ai Agility supports customizations, they can be somewhat cumbersome to set up and maintain
The Analytics engine's user experience for digging into the data does not have the same feel as the rest of the system and, as a result, can be hard to work with
Digital.ai (formerly XebiaLabs, CollabNet VersionOne, and Arxan)
VersionOne provides outstanding training. They have Product Owner training that I recommend every Product Owner attend. They have scrum master training and other agile training that was well worth the money paid because it made the teams more productive. And the support for the tool is incredible. These people live and breathe Agile and are evangelists and enthusiasts.
Our CSR is easily accessible and they have support built into the app itself. They also have a pretty robust support site. We also took advantage of the free trial and learned so much by putting Hive through the paces and figuring out the best way to mold it to our needs.
Digital.ai (formerly XebiaLabs, CollabNet VersionOne, and Arxan)
JIRA appears to be more extensible with the ability for Scrum, Kanban, bug/incident tracking, and the ability to customize dashboards. However, VersionOne's performance over the same teams is extremely fast in comparison and therefore allows users to be more productive over the same amount of time.
Hive is a bit different than Jira and Monday, which I used mostly. Overall does a great job managing project and helps with team communication. Removes dependency of asking team members for updates by going to conference rooms. With Hive, the team updates the status, and we can easily track it.
