Planful is a cloud-based enterprise performance management (EPM) suite. It includes financial applications for modeling, planning, consolidation, reporting and analytics.
N/A
SAP Analytics Cloud
Score 8.1 out of 10
N/A
The SAP Analytics Cloud solution brings together analytics and planning with integration to SAP applications and access to heterogenous data sources. As the analytics and planning solution within SAP Business Technology Platform, SAP Analytics Cloud supports trusted insights and integrated planning processes enterprise-wide to help make decisions without doubt.
$36
per month per user
Pricing
Planful
SAP Analytics Cloud
Editions & Modules
No answers on this topic
SAP Analytics Cloud for Business Intelligence
$36.00
per month per user
SAP Analytics Cloud for Planning
Price upon request
per month per user
Offerings
Pricing Offerings
Planful
SAP Analytics Cloud
Free Trial
No
Yes
Free/Freemium Version
No
No
Premium Consulting/Integration Services
Yes
No
Entry-level Setup Fee
Required
No setup fee
Additional Details
Pricing is highly dependent on the complexity and scope of the implementation.
A 30-day trial with SAP Analytics Cloud is available, supporting analytics enterprise-wide. A trial can be extended up to 90 days on request.
The cloud based aspect of Host makes it easier for multiple team members to be in the system at one time and see changes in real time without a lag. in prior experience with Oracle there has been a lag in the system to view changes made my other team members
Host Analytics was evaluated against Oracle's Hyperion EPM and in terms of speed to value was significantly quicker and easier to implement without a dedicated IT resource. We were able to also save time in having a dedicated finance resource that helped to complete the project …
I've used Microsoft Forecaster prior to 2013. This software program has received a major update in recent years, but I have not used the new version. Compared to the pre-2013 Microsoft Forecaster, Host Analytic's reporting is much easier to use.
While searching for a solution we looked at OutlookSoft (subsequently bought by SAP), Hyperion and Cognos. Hyperion and Cognos appeared to require a fairly high level of customization and requirement definition before and during implementation. While the systems seemed robust, …
The primary reason for choosing Host Analytics Cloud EPM Suite was their plan for implementation and ensuring we understand the build of our system and how the pieces work together. Their concept of making the user an expert in the foundation and use of the system ensures you …
There are still times that I find myself thinking that "I would have been done with this already" in Excel. Most (possibly all) the colleagues I know in our industry haven't outgrown using Excel yet... Overall, now that I feel I (mostly) "know what I'm doing" and am thru the learning stage the system I'm seeing benefit...however also feel like I haven't 'scratched the surface' of what it's capable of. Dynamic Planning, Predict/Signals, AI ...I feel we have a huge learning curve still ahead. I've explored Signals and AI Analyst and haven't been able to get reliable results to drive me to use it more...which leads me to believe we have core implementation related issues.
>> Using SAC predictive analytics capabilities for inventory management in a Production line setup has helped generate Purchase Requisitions and Purchase Orders for raw or semi-finished goods without much head-banging into Demand management rules. It does it beautifully with seamless integration with HANA core MM and PP modules, along with BI integration. It has resulted in 30% greater warehouse storage capacity, thereby saving revenue from piled-up inventory and associated manpower costs. >> SAC sometimes shows latency in working out a large data set, thus giving a poor user experience compared to its competition. Also, it may occasionally show misinterpretations when embedding data from 3rd-party systems into the HANA core dataset.
It makes it easier yo analyse order and related records easily.
We can easily maintain and track the performance of employees in organisation.
Can easily track various aspects for the growth of an organisation thus allowing real time analysis and tracking of organisation's growth and performance.
SAC supports various data sources, but improvements in the ease of connecting to and integrating with certain data repositories, especially non-SAP databases, would enhance the platform's versatility and integration capabilities.
An offline mode for SAC could be valuable for users who need to access and analyze data without an internet connection. Additionally, optimizing performance for large datasets and complex visualizations would contribute to a smoother user experience.
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.
We are planning to review the licensing as we have issues with SAC dealing with huge datasets. Analytics area is good for import models but when we have live connections in place that's when we have issue with SAC dealing with huge datasets in live be it BW or be it HANA models in the backend.
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.
I landed on a 7 out of 10 for a few key reasons. The tool is flexible in the sense that we are using very very very (very) little off the shelf solutions and customizing to our needs. Users enjoy having the customized data actions, key variance calculations, and easy to use headcount/salary planning in the same tool. One downside is that users are hard to please when they are used to excel. SAP Analytics Cloud simply is not excel, and the flexibility of excel in a crunch is not there.
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.
I would rate SAP Analytics Cloud an 8 out of 10 for scalability. It offers a flexible, cloud-based architecture that supports expansion across departments and geographies. The platform adapts well to growing data volumes and user needs, making it a strong choice for organizations looking to scale analytics capabilities efficiently.
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.
I would rate SAP Analytics Cloud’s performance an 8 out of 10. Pages generally load quickly, and reports run within a reasonable time frame, even with complex datasets. Integration with other systems is smooth and doesn’t noticeably affect performance. Overall, it’s a responsive and efficient tool for business analytics. But
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
Since the implementation stage, the support team has been very helpful and assisting. Even in the later stages, the tech team had quite a rapid response. In general, SAP has provided us with great customer support, let it be for a specific product of SAP or for integration of different modules.
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!
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
In hindsight, it would have been easier to have someone there in person. Questions were answered, but with 11 participants, it got a bit chaotic online
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.
SAC is a simple solution ad it works fine when connecting it to other SAP tools. On the other hand, connecting it to third party solutions brings difficulties when there's no previous design and the objetives are not clear. It is really important to integrate Business users from the start to provide with valuable business insights
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.
SAP Analytics Cloud and Power BI are both tools that help businesses understand their data, but they have some differences. SAC, made by SAP, works well if your company already uses other SAP products. It's in the cloud, easy to use, and has features for analyzing data, getting insights, and planning for the future. Power BI, made by Microsoft, can be used in the cloud or on your own computers. It fits well with Microsoft tools, is easy to use, and can do advanced data analysis. SAC has built-in planning tools, while Power BI needs extra tools for detailed planning
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.
Is good for use across multiple locations. It allows users to access data and reports from anywhere, regardless of their location. Can consolidate data from various sources, including different SAP systems and external sources, which facilitates cross-location analysis. SAC enables access to data and models from SAP Datasphere to create new stories. Detailed permissions can be defined for cross-departmental use.
Many manual data manipulations and exports in Excel have been replaced by the tool, providing management with improved insight into the amount of time spent at each stage of an invoice's lifetime, allowing bottlenecks to be discovered.
We now have more insight into the data, and people with little technical experience can easily build stories.
