Forecast vs. Hive

Forecast is well suited for tracking schedules, especially if it is only being controlled by a single department. When it comes to using Forecast in a larger ecosystem with more "cooks in the kitchen" it would be helpful to have the software more easily integrated with other software.

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.

• Assign and allocate resources.
• Identify lean departments and identify areas to increase headcount.
• Manage agile teams.
• Identify bottlenecks in departments or resourcing.

• Maintaining task status using a card-like structure (similar to Kanban system in manufacturing industries)
• The messaging platform is very effective and similar to Slack
• The mobile application makes it easy to manage tasks and give updates while travelling on business assignments

• Not as intuitive as its companion software, Harvest. This software takes longer to learn when on-boarding new staff. It is also difficult to view time notes without needing to physically open them up. This could be improved by expanding the "on hover" functionality. Personally, having spent as little time in workflow software is really important, as it gives me more time to code.
• Because we use this software to plan schedules, items often fall through the cracks. I would like to see some more sophisticated syncing with not only Harvest but also with Asana.
• Lack of integration with Asana. It would be nice to pull data from forecast and display it in Asana. This would be helpful for understanding how much time I have to spend on a project rather than bounce back and forth between web apps.

• Organizing tasks by assignees could be better. It's a little cumbersome to check off each person you want. Can you group these?
• I don't really use any view besides task view. Is there something better I could be using?
• It would be nice if attachments showed up in a nicer format, maybe with a preview?

I love Hive so much because it has made a huge difference regarding team communication and project management at the same time. We experienced almost no bugs and in the few cases that we did have some trouble, the customer service team was very responsive and solved our problems very quickly.

I have not needed support for Forecast.

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.

I have not used any other scheduling software other than Forecast. The company selected Forecast because it is used in conjunction with Harvest. The pair of web apps can be used to pull detailed data. This is very important to our agency, and making data-driven decisions is exceptionally important to our agency mission.

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.

• Allow departments to run efficiently.
• Quickly identify whether departments need to hire.
• Easily visualize project gaps in resources.

• You may keep track of each person's duties by tagging them to certain tasks.
• Can better progress projects by using workflow management, which helps in saving time and money.
• Using time tracking, we can more efficiently keep track of the working hours