The world of work is constantly changing. Agile work processes in particular are becoming increasingly popular. Even large companies are trying to introduce agile working methods. For many, the Scaled Agile Framework (SAFe) is the right solution for their agile teams. However, implementing SAFe with all its features such as providing reports, visualizing dependencies and automated documentation is not always easy in reality. Many companies spend a lot of time and money searching for the right…
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Hive
Score9 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.
Agile Hive is used for our value train within a SAFe setup. Every quarter we organize a so-called Product Increment (PI) Planning, where we plan all Features and Enablers in Agile Hive. Based on the priority of the Product Manager all teams plan their Features and Enablers accordingly to the sprints that are determined by the Release Train Engineer and set up in Agile Hive. The teams then create User Stories and estimate them and based on their sprint velocity (defined in Agile Hive) Product Owners can see how many Features and Enablers are realistic in one quarter (Product Increment). Further, dependencies across teams can be defined and made visible in Agile Hive, so that the plan is feasible. Without Agile Hive it would be hard or impossible to plan across several teams within a value train and to manage all dependencies. Additionally, with Agile Hive the plan is more realistic, so what can be achieved within one quarter in product development.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
It has in general a good usability, but there are some downsides, the big picture view of the entire product increment is too static, so there is no zoom in or zoom out. Mostly throughout planning it is necessary to zoom in to a sprint level and manage the user stories there. Also, the pig picture view has some limitations, because you cannot read the entire user story name (boxes are too small).
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
With Jira Software alone it is also possible to plan a SAFe product increment planning, but it would be nearly impossible to see the overall big picture of all product teams involved in a release train. So, the planning on sprint level for one team would be more efficient, but the planning for a whole quarter with all dependencies across teams would be not feasible to present. Therefore, Agile SAFe enables value trains an efficient way to plan a product increment.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
