Google Compute Engine vs. Planful

You can use Google Cloud Compute Engine as an option to configure your Gitlab, GitHub, and Azure DevOps self-hosted runners. This allows full control and management of your runners rather than using the default runners, which you cannot manage. Additionally, they can be used as a workspace, which you can provide to the employees, where they can test their workloads or use them as a local host and then deploy to the actual production-grade instance.

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Planful is initially easy to setup and if a company is already using a mid layer to transform and standardise GL data, management reports can be set up in days, not weeks or months. Budgeting template setup does get some getting used to but the training provided by Planful is sufficient to get going and learn along the way. Building custom reports is straightforward and the interface is user-friendly, therefore the accounting team can get going without the need for technical specialists getting involved. Budget and forecasting is flexible and drivers of revenue and cost can be created in Planful and customised by Unit or Geography.

• Scaling - whether it's traffic spikes or just steady growth, Google Compute Engine's auto-scaling makes sure we've got the compute power we need without any manual juggling acts
• Load balancing - Keeping things smooth with that load balancing across multiple VMs, so our users don't have to deal with slow load times or downtime even when things get crazy busy
• Customizability - Mix and match configs for CPU, RAM, storage and whatnot to suit our specific app needs

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• It aggregates data from different sources well, allowing me to report on a wide variety of metrics that interrelate.
• I can build detailed reports so that my monthly and weekly reporting is done more efficiently
• I like the tools that I am using to create dedicated models for forecasting and budgeting purposes

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• Built-in monitoring via Stackdriver is quite expensive for what it provides.
• Initially provided quotas (ie. max compute units one can use) are very low and it took several requests to get an appropriate amount.
• Support on GCE is limited to their knowledge base and forums. For more hands-on support provided by Google, you must pay for their Premium services.

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• Dashboarding could be more flexible and easier to use.
• Dynamic Reporting has room for flexibility with nesting, dimension names showing up instead of “All,” and overall flexibility.
• Make Analyze view in Spotlight more intuitive.
• A high-level onboarding guide to understanding the different components of Planful, data flows, and tips & tricks.

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Its pretty good, easy and good performance. Also, interface is very good for starters compared to competitors. Infra as Code (IaC) using Terraform even added easiness for creation, management and deletion of compute Virtual Machines (VM). Overall, very good and very easy cloud based compute platform which simplified infrastructure, very much recommend.

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Our new Comptroller understands the value of Planful, and we plan to utilize it further in the organization to enhance external reporting. Strangely enough, Planful had not previously been embraced by the former CFO, who argued that we were running two sets of books (of course, we were not). Fortunately, the before mentioned reconciliation of EBITDA to Net Income demonstrated that to the banks.

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Having interacted with several cloud services, GCE stands out to me as more usable than most. The naming and locating of features is a little more intuitive than most I've interacted with, and hinting is also quite helpful. Getting staff up to speed has proven to be overall less painful than others.

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The tool is extremely adaptable, and it enables very quick querying to give us opportunity to gain live insights into the business. Given its adaptability, we are also able to create scenario analyses very quickly in rapidly changing environments. The formatting also enables us to provide this information in a very consumable manner.

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Google Compute Engine works well for cloud project with lesser geographical audience. It sometimes gives error while everything is set up perfectly. We also keep on check any updates available because that's one reason of site getting down. Google Compute Engine is ultimately a top solution to build an app and publish it online within a few minutes

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I only give a 9 rating rather than a 10 rating because it seems that every day around 2pm we see a slowdown in the use of Planful. I have requested our internal IT department verify that it is not an internal issue and have been assured it is the tool. We have not yet reached out to Planful to do extensive research to solve this issue.

It works great all the time except for occasional issues, but overall, I am very happy with the performance. It delivers on the promise it makes and as per the SLAs provided. Networking is great with a premium network, and AZs are also widespread across geographies. Overall, it is a great infra item to have, which you can scale as you want.

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Again, the system is very reliable and, for the most part, runs very quick and smooth. When running larger queries, it does take some time, and during budgeting season our users experienced slower loading times, but nothing that raises concerns outside of normal network issues. Occasionally, as with any software we use, it will crash and you have to restart, but that does not happen very often.

• The documentation needs to be better for intermediate users - There are first steps that one can easily follow, but after that, the documentation is often spotty or not in a form where one can follow the steps and accomplish the task. Also, the documentation and the product often go out of sync, where the commands from the documentation do not work with the current version of the product.
• Google support was great and their presence on site was very helpful in dealing with various issues.

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Sometimes we get great help when using Planful's support team and other times we don't. In particular, there is one person that often responds to our support tickets who is less than helpful, hence the reason for the 5 out of 10 rating. As a result, most of the time we reach out to our Planful consulting group as they provide faster and better support

My team has attended training offered several times before/during the Planful Perform conference. This training has been extremely useful and we always learn something we didn't know prior to the training. The trainers are always very knowledgeable and more than willing to help each and every user after the training with specific questions regarding their environment. Planful also offers training and certifications on their training hub. I have completed a couple of the certifications. The courses are easy to follow along with and very informative. Additionally, Planful schedules webinars pretty regularly. They'll email their customers and allow you to register to participate live. They also record these sessions so you can refer back to them at a later date or if you are unable to attend at the time the webinar is offered, you can register anyway and get access to the recording. Their training has improved year over year!

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Planful provides a lot of online training support. There's so many options for training. Admin Learning Courses, User Learning Courses. Plus they have several webinars devoted to the tool and the new features they release. New Releases can be practiced in a Sandbox Environment prior to going live in Production

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After going through the initial implementation with Host Analytics and a re-implementation with Cervello (due to an ERP change, not due to a poor initial implementation), I've learned that you really must rely on your internal staff to bear most of the implementation burden. Use the vendor or partners for ideas and best-practice suggestions, and some of the easy-but-time-consuming work. Since you will ultimately be using and maintaining the application, you should be able to do most of it yourself.

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Google Compute Engine provides a one stop solution for all the complex features and the UI is better than Amazon's EC2 and Azure Machine Learning for ease of usability. It's always good to have an eco-system of products from Google as it's one of the most used search engine and IoT services provider, which helps with ease of integration and updates in the future.

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Prior to joining the company, we tried to implement Vena but were unsuccessful. There we're a few reasons it didn't work out, but a lot of it related to the implementation team they provided. In just the first week with Planful, we achieved more progress than we did in several months with Vena.

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It works really well with other Google Cloud services, making it easy to build scalable solutions across different teams and locations.

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From our experience, Planful is only used in 2 overhead departments in our organization. We easily added another overhead department, but they decided against using Planful for their workforce and financial planning. Removing them from our environment was extremely easy.

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• With Google Compute we don't have the overhead of managing our own data centers reducing costs and reducing the staff needed to manage systems.
• As I said earlier, Google's costs are ~1/2 of AWS, so we are able to see a ROI much faster.

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• Has allowed users to view a real-time P&L in a way they weren't able to do with Qlik.
• Budget to Actual analysis has become much more streamlined and actionable
• Long-range plan process has been significantly streamlined and a lot of time has been cut out of the process.

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