IBM Planning Analytics Reviews

My main use case for IBM Planning Analytics is for various activities such as analysis, analyzing data to make decisions, planning tasks, and collaborating with dependent teams. Before IBM Planning Analytics, we were using the Workday Adaptive Planning tool, but we always faced difficulties in setting it up and using it. It was particularly difficult to use, especially for the latest tech service. Later, we moved to IBM Planning Analytics, which we mainly used to handle the data analysis use case. My work involves creating dashboards from the existing business data and presenting them during our daily scrum meetings with various stakeholders, as well as making the right decisions based on data analysis and insights. With IBM Planning Analytics, dashboard creation and other exporting options come in handy.

In addition to my main use case, I also use IBM Planning Analytics for financial planning, forecasting, and reporting, and it has been very useful across different departments, especially when we need real-time insights. We also integrated time series forecasting with Watson Studio, which helps with better predictions.

IBM Planning Analytics helps with collaboration between teams by allowing us to gather data from various departments, analyze it, and collaborate on the data to make data-driven decisions between different departments easily. As I mentioned previously, I mainly use IBM Planning Analytics to visualize the existing data to generate meaningful report dashboards and use it during stakeholder meetings to arrive at the right decision.

The best features IBM Planning Analytics offers include budgeting, forecasting, and what-if scenario analysis. The scenario modeling feature in IBM Planning Analytics is probably the most robust planning and forecasting solution we use, especially for what-if scenarios, where we are able to forecast using Watson Studio, which helps in better prediction. I really appreciate the Excel integration in IBM Planning Analytics because it keeps things familiar and adds more power.

IBM Planning Analytics does not work offline, which makes it difficult for me and my team to work or gather required data when we do not have an internet connection.

The mobile version of IBM Planning Analytics has fewer features compared to the PC version, which is a problem when an executive has to analyze a complicated situation on the go or while working remotely.

I have been using IBM Planning Analytics for the past seven years.

IBM Planning Analytics is very stable, and I have not noticed any downtime or lagging. The performance of IBM Planning Analytics has always been fast and reliable for my needs, even when dealing with huge volumes of data.

The scalability of IBM Planning Analytics is very high, and we are able to work with huge amounts of data with flexibility.

The customer support for IBM Planning Analytics is very responsive and supportive 24/7, and they provide feedback in less time.

Positive

I previously used Microsoft Access. The reason I switched from Microsoft Access to IBM Planning Analytics is because when dealing with large data and wanting speed and flexibility, IBM Planning Analytics offers that capability. Microsoft Access has limitations when dealing with huge volumes of data.

I also switched from Microsoft Access to IBM Planning Analytics because it has helped us reduce manual work and make better decisions quickly. IBM also listens to feedback and improves the products, which I appreciate.

The learning curve for my team was smooth, and it took a few days to one week to learn every feature of IBM Planning Analytics. It was easy to learn.

IBM Planning Analytics has been quick regarding technical implementation and onboarding with the cloud version. We experienced smooth onboarding for any tech service and have been able to save a lot of time, especially because it is very easy to use. We cut down on manual budgeting and forecasting work, which saved us between 50 to 70% of our time. Our decision-making improved significantly because the real-time data and automation saved a considerable amount of time. It only took us about three months to create custom models that really fit our needs, which represented quick implementation and quicker return on investments.

Over the past few years that I have been using IBM Planning Analytics, I have made big improvements in how I plan and analyze finances. Since using this tool, I can now make decisions faster, even when there is just a small change in the data. It helps a lot with creating reports straight from raw data, which saves me so much time.

My experience with pricing, setup cost, and licensing for IBM Planning Analytics is that the price is relatively competitive, and the setup was straightforward and easy.

Before choosing IBM Planning Analytics, I evaluated other options, such as AD Logic.

Regarding the user interface of IBM Planning Analytics, it is very user-friendly, which makes the experience very smooth. The integration capabilities of IBM Planning Analytics with other business systems or data sources are strong, especially with Simulus.

We are able to integrate IBM Planning Analytics with Watson Studio, and it helps with better prediction and forecasting, allowing us to make data-driven decisions. We have also been able to integrate it with Excel, which keeps things familiar and adds more power.

I would describe the security features of IBM Planning Analytics as very robust, and they keep all our data secure.

My advice to others looking into using IBM Planning Analytics is that if you are dealing with large data and want speed and flexibility, then IBM Planning Analytics is for you, because it has helped us reduce manual work and make better decisions quickly. IBM also listens to feedback and improves the product, which I really appreciate. I would rate this product a 9 out of 10.

We rely on IBM Planning Analytics for our monthly forecast because it is modular, making it essential for tracking and managing our monthly, quarterly, and yearly forecasts. We use it mostly for forecast, not for actual records. For the actual records, we use other software. Whenever we want to do our forecast for the month, for the quarter, for the year, we use IBM Planning Analytics. Every team, or what I prefer to call units within the organization, submits their budget and forecast for the month. We put it all together, run it through IBM Planning Analytics, and from there we can tell what will be achieved, what will not be achieved, and what we can push over to the next month, because we already have our budget for the year. IBM Planning Analytics helps us to do that plan very seamlessly. Within a maximum of two hours, we are done, and then we reach back to teams and say, 'Hey, find a way to move this. This was not approved.' It makes the whole planning for us for the month easier.

The beginning of the year budgeting is the best use case we have for IBM Planning Analytics. It makes it so easy for us because we are coordinating about sometimes twenty to thirty Excel sheets. We plug everything in and using the what-if scenarios and the different capabilities of the platform, we are able to draw out our financial plan for the year.

The most spectacular example of how IBM Planning Analytics made a difference during a forecasting cycle was our planning in January, where we had to do our budget for the year. Due to how we closed last year, we closed in a rush. We were not able to complete things, so we could not do our forecast for the year in December. We had to do that in January. We thought it was going to take a whole lot of time, but IBM Planning Analytics made it so easy for us. Within three days, we were done with the whole plans for the month, both as regards payroll, as regards office supplies, as regards our subscriptions, as regards IT needs, as regards internet, and everything. We were able to plug in everything and create the whole plan for the year while even giving room for inflation. That was the most spectacular thing for me about IBM Planning Analytics.

The best features that IBM Planning Analytics offers for my team are its ability to save most of the data in memory, which allows for quick access and processing. Everything is largely saved in memory. I need a lot of RAM, random access memory for your computer device. Because everything is largely saved in memory, IBM Planning Analytics can run complex calculations quite fast. No matter what or how many metrics you change in your what-if scenarios, it reworks the whole model entirely, and you are seeing the raw figures immediately.

The Excel add-in makes you as a user feel that you are in a familiar environment and you do not have to abandon spreadsheets entirely. The Excel integration in IBM Planning Analytics helps my workflow significantly because spreadsheets are something most financial analysts and data analysts find themselves accustomed to. Given the fact that the Excel interface is there on IBM Planning Analytics, it makes you feel comfortable and it makes you more efficient in the sense that this is something you already know. You just go about your business as if you are in the normal Microsoft Excel environment. You just do your thing and get the numbers in. It is just a familiar environment and because of that, it makes you more comfortable and, most importantly, more efficient.

What I appreciate most about IBM Planning Analytics is that we no longer make mistakes when we do our forecast and planning. Previously, it used to be the case of sharing files with multiple versions of files and multiple files around. You keep having people saving information as 'This one update,' 'that one update.' In the end, you see the case that maybe somebody comes back from leave and because they did not have a good hold of the email thread, they begin to work on a stale or a previous version of the document. But with IBM Planning Analytics, everything gets plugged in live, and there is nothing concerning old version or new version. Everything is there live. You make a new scenario live, you make changes to your model, and it is live there, updated there. So it has greatly reduced our errors to almost zero, and I can say there is about a thirty percent increase in efficiency.

I measured that thirty percent efficiency improvement based on time saved and fewer errors.

I have found that IBM Planning Analytics is flexible in the sense that you can customize the platform, customize calculations, and customize your models. However, your ability to do that when you want to do more complex models and more complex things, you have to upgrade your subscription. You just have to buy a higher level of license.

There is a downside to IBM Planning Analytics. Sometimes it requires a good amount of time before you get used to the platform. The entire platform itself and setup can sometimes be complex. You just have to be patient in order to learn the platform and understand it. But once you get the hang of it, it is good to go, and you will enjoy it.

I find the setup can be complex with IBM Planning Analytics. Sometimes some plugins could feel a bit outdated. Both the UI/UX part of it and the actual usage could feel antiquated. There are certain aspects of their software that they should take a look at, especially the plugins, and improve on them.

IBM Planning Analytics is very stable in my experience.

The scalability of IBM Planning Analytics is very impressive. It handles literally every single data we give to it without lagging or crashing, so it is very scalable.

We have not had any need for customer support for any issues. As I said, it is very stable and scalable. We only needed the assistance of customer support when we purchased the license initially, and I can rate that customer support we had then a ten out of ten.

My organization already uses IBM, so we did not switch from any other solution. We just did a comparative analysis with Workday Adaptive Planning. IBM Planning Analytics was favored because we already use IBM, not because it was the most cost-effective. Had we been considering cost alone, we would have gone for Workday Adaptive Planning.

Given the fact that IBM Planning Analytics is quite pricey in terms of the cost for the subscription and the monthly subscription, we just did the first-tier plan where we are only allowed to have five users at a time. Those in the directorate already have three logins. We are left with two logins, we who are the analysts, the financial analyst and the data analyst. We do not work in silos. Whenever we have a planning session or a forecasting session to do, we sit together, we have our big screen, and then from there we do our models. We do our what-ifs, we do our plannings. We essentially create different scenarios, which we save as different files. Then, those on the directorate, the director and the deputy director, can then have a look at it and say, 'Okay, I think we will go with this plan, or we will go with this other plan.' With that, they can then push their preferred plan upwards to those at the very top for endorsement. Once it is endorsed, then the finance and accounts unit can go ahead with disbursing funds. Procurement can go ahead with making their procurements. That is just the way we use it.

I have seen a return on investment such as a thirty percent increase in efficiency, which I have mentioned before. That measurement is based on time saved and error reduction.

Regarding pricing, the cost is high compared to the competitors of IBM Planning Analytics, but given that we as an organization already use IBM, we decided to go for IBM Planning Analytics. We did not incur additional setup costs because our machines were largely endowed with RAM and ROM, so we could run it efficiently. Licensing was not an issue we faced because we already had a dedicated team for finance, accounting, and data analytics. All we just had to do was register the five people for the license, and that was it.

I evaluated Workday Adaptive Planning before deciding on IBM Planning Analytics. It is quite good and flexible as well, and I must mention it was more cost-efficient. However, we chose IBM because we trust IBM as a company and we are already using IBM services.

My advice for others looking into using IBM Planning Analytics is first of all, you need a very powerful machine, a very good computer with a good processor, a very good amount of RAM, and a very good amount of ROM as well. Second, you can go for the essential tier of the subscription, which allows just five users. Whenever your team has to plan, you can just come together, use one login, and plan together over a large screen. Third, take your time to learn your way around the platform.

Regarding the accuracy and reliability of output, I find that the newer AI and agent capabilities of IBM Planning Analytics are good. However, IBM is currently nudging people towards cloud migration. Their AI and agent capabilities have been delivered as a software-as-a-service only, not available on older on-premises versions, but if your setup is cloud-based, then you have the AI and agent capabilities, which to a fair extent is accurate.

I would rate this review eight out of ten overall.

My main use case for IBM Planning Analytics is for our quarterly financial forecast.

Our fiscal year runs in tandem with the annual year, starting in January and running through to December. Before every quarter, we already have the annual plan, annual financial plan, and annual budget. At the start of every quarter, we make a granular plan for how expenditures will go for the quarter, keeping in mind our annual budget and annual plan. This is how we use IBM Planning Analytics in my organization.

IBM Planning Analytics helps us simulate a lot, such as our financial plans, allowing us to run various what-if scenarios while planning for staffing, HR, IT costs, subscriptions, cleaning supplies, logistics, transportation, and more. We often ask questions such as, 'What if we hire this person this month? Do we cross our quarterly budget?' or 'What if we get these supplies in bulk instead of retail?' This approach helps us create a robust plan that is inclusive of all teams and units within the organization, enabling us to move seamlessly for the quarter regarding finance, approvals, procurement, and other operational aspects.

The best features that IBM Planning Analytics offers are the ability to connect; previously, before we rolled it out, our team used numerous Excel files with many errors. IBM Planning Analytics functions as a central unit where we can consolidate all those files we have been using for years. It allows us to see our previous expenditures, spot seasonality in our data, and use that as a basis for forecasting for the quarter, all while building on the annual budget. It effectively houses all data into a single model, providing real-time insights into cost implications for any scenario we consider.

Having all that data in one model significantly changes the way my team works and makes decisions. When planning, we, a team of four, sit together after individually requesting forecasts from different units within the organization. We plug in all that information into IBM Planning Analytics, using the annual budget as our benchmark. This collaborative effort lets us explore various scenarios, allowing us to determine the best sequence of events and spending to remain within our quarterly cap.

IBM Planning Analytics has positively impacted our organization by making forecasts easier and more accurate. Errors have reduced drastically; for the multiple times we have used it, we have not experienced issues related to wrong files or submissions. We can sit together as a team, model various scenarios, and create a solid spending plan for the quarter.

I can report a ninety-five percent error reduction since starting to use IBM Planning Analytics. Additionally, we initially considered bringing in more staff for the financial analytics team, but due to the effectiveness of IBM Planning Analytics, we did not find that necessary. Consequently, staffing costs have been converted into subscription costs.

Improving IBM Planning Analytics could start with addressing the pricing, as it currently sits high. The essential plan is eight hundred twenty-five dollars per month for five users, which is quite pricey compared to competing software. The next level doubles the price for ten users, making it really costly. If IBM Planning Analytics could work on pricing and possibly enable AI features for on-premises rollouts, that would be beneficial.

The visualizations in IBM Planning Analytics are poor, not as robust or scalable as those in standard BI software such as Power BI or Tableau. The calculation rigor is good, but the visualization aspect needs improvement.

I have been working in my current field for three or more years.

IBM Planning Analytics is very stable.

IBM Planning Analytics exhibits very good scalability, efficiently handling whatever data we input without lag during computation, although generating reports can take longer at times.

The customer support is efficient.

In our organization, we did not previously use a different solution, but I know a friend who works with Workday Adaptive Planning and finds its interface and flexibility impressive, as well as competitively priced. However, my organization values the security and trusted governance of IBM Planning Analytics, which influenced our decision to choose it.

Pricing was high, and the setup cost required upgrading our computer system to accommodate the software's larger space requirements, especially for memory.

I evaluated options such as Workday Adaptive Planning and Board, but due to our emphasis on security, we opted for IBM Planning Analytics.

There was a notable return on investment, evident in fewer employees needed and significant error reduction, with a ninety-five percent decrease in errors since rolling out IBM Planning Analytics. Time-saving has also been acknowledged, but error reduction remains the spotlight metric.

My advice for those looking into using IBM Planning Analytics is to ensure they have a very good local machine to accommodate the software.

IBM should improve the user interface and experience of IBM Planning Analytics to match the more welcoming and updated designs of its competitors. I would rate IBM Planning Analytics an eight out of ten.

I make sure that developments inside are matching our end user needs. I check monitoring and assist newcomers in developments. TM1 is not used as a reporting database. We elaborate the budget inside, extract data, and make it available through different tools. 

We use it for planning all the costs and budgets for production parts in our company. TM1 is mainly used by the financial controlling department, and they use Excel directly connected to TM1 to make their dashboards.

TM1 is primarily used for planning functions. We use it to manage and plan costs and budgets for production parts within the manufacturing department. TM1 is used for calculating and elaborating our budget, which is time-consuming. Its stability helps controllers win time in their planning processes. This level of stability is crucial for a product like Cognos TM1, as using an unstable platform would result in loss of time.

Since I'm using TM1 as an old version of Planning Analytics, it wouldn't be fair to specify what needs improvement because it's possible these issues have already been addressed in newer versions. If we talk only about the TM1 engine, it's quite rich and possibly too rich, making it complex to perform simple tasks. 

The abundance of features results in complexity, requiring strict guidelines for developers to ensure simplistic approaches are adhered to. This complexity makes it hard to maintain and evolve developments.

I have been using TM1 since 2012 and have overall experience since 2007 for Cognos Analytics.

TM1 is quite stable and I would rate its stability as an eight out of ten. This stability is really important as we use it for budget calculation, which is time-consuming. A stable platform prevents loss of time during this process.

Scalability is quite hard to implement in TM1, largely since the on-premise installation chosen back in 2014. On a scale, I'd rate scalability at four, out of ten. It's difficult.

Support is generally good. We have a multi-level support system, with the initial level handled by the company we bought the license from and subsequent support from IBM. I rate this support at a seven out of ten.

Neutral

TM1 is not easy to implement. Based on my observations, I'd rate the initial setup between a five or six out of ten.

TM1 is quite expensive, and I'd rate the pricing as an eight out of ten. While we do get what we want in terms of functionalities and compatibility with other IBM tools, given the product's old architecture and interface, they need to make it more affordable.

Comparing it to newer solutions like SAP Analytics Cloud, TM1 is more expensive and harder to implement. Overall, I rate TM1 as a six out of ten.

Neutral

I use the solution in my company for our company's budgeting process; IBM Planning Analytics is used every year to manage different scenarios based on the needs of the users. The finance managers in our company use the product to change 90 percent of the budget processes and cash flows, along with some forecasting purposes.

The local authentication part is difficult to manage in the product, making it an area where improvements are required.

I have been using IBM Planning Analytics for six years. My company has a partnership with IBM.

The product's stability is good.

The scalability is very useful. Previously, in my company, we used IBM Cognos and IBM Accelerator, but presently, we use IBM Planning Analytics, which is a very useful tool compared with the past products we used.

I am satisfied with IBM's support. I rate the technical support an eight out of ten.

Positive

The product is easy to deploy. The configuration of the authentication part with the tool is difficult. When I tried to integrate IBM Planning Analytics with LDAP, the configuration changed, so the config file changed. The integrations and certain syncs are sometimes difficult to match and authenticate.

The licensing part of the product is good. Every year, there is a need to renew the license. My company also uses multiple functionalities offered under IBM Cognos Analytics for ETL-related purposes. Compared to the regular licenses offered, the licensing model of IBM Planning Analytics is good. Compared with the other tools in the market, IBM Planning Analytics is a bit expensive.

The product has improved our company's forecasting accuracy since it serves as a very useful tool for our sales and controller teams as they easily get to enter the inputs using views in TM1, which gets loaded into our main database. If there are sales team members in different parts of the world, like in Hong Kong and Singapore, they may prefer to use IBM Planning Analytics, which is easy to use when compared to the Excel tool.

Speaking about planning analytics and data analysis, I would say that our company used to use IBM Cognos Analytics for reporting, where we used to use Cognos Dynamic Cubes so that users can easily use its drag and drop features while getting to see the data for which the users had to wait for two to three minutes prior to its use. In our company, tons of data are loaded into the memory, and users can use Cognos Dynamic Cubes to analyze data and understand it.

The AI capabilities of IBM have benefited our planning strategy as they are very useful for business. The tool allows the easy creation of dashboard reports using AI capabilities. No technical knowledge is required for business use cases.

It is possible to integrate the product in scenarios where some new integrations are available. I remember that my company used Azure Data Factory to connect Azure, Oracle, and IBM WebSphere Application Server.

When it comes to IBM Planning Analytics, it is complex to integrate it with LDAP and or any other authentication tool offered by Microsoft. In our company, some users like to integrate IBM Planning Analytics with the common LDAP or Microsoft AD, which we currently use for all our applications. The authentication part is difficult to configure with IBM Planning Analytics.

The maintenance of the product is easy. My company has scheduled maintenance on the product every week, especially during forecast times, so that memories automatically lapse and users can freely access their servers.

The use of the tool has had an impact on collaboration within our company's planning team since everyone knows how to easily access the data and publish the results.

I recommend the product to those who plan to use it.

I rate the tool a nine out of ten.

The main customers and use cases for Planning Analytics are large companies in the Czech Republic and Slovakia, typically with more than 2,000 employees.

The most valuable features of IBM Planning Analytics for streamlining planning processes include a unified database where all data are centralized, similar to Microsoft Excel but with the advantage of centralized data storage. Another essential feature is sandboxing, allowing extensive analysis and testing without affecting core data. Additionally, the workflow functionality enables locking and approval processes for calculations and formulas, providing enhanced management control and collaboration compared to Microsoft Azure.

To improve IBM Planning Analytics, adding predefined templates could be beneficial. These templates could cover various business areas like volume planning, service levels, and more. Specific templates for functions such as sourcing based on criteria like minimum order quantity and stock levels would also be helpful. Additionally, having templates for P&Ls and cash flow could enhance usability.

I have been using Planning Analytics for about a year.

I would rate the stability of IBM Planning Analytics as a nine out of ten.

The product is highly scalable. Our customers for IBM Planning Analytics are mainly large enterprise businesses, typically with two thousand employees or more.

I would rate IBM's technical support as a seven out of ten. They could be a little faster.

Neutral

Setting up IBM Planning Analytics can vary depending on client expectations and needs. For someone covering just one area, it might be relatively easy. I would rate the setup at around a six out of ten in terms of ease.

The deployment duration for IBM Planning Analytics varies greatly depending on each client's needs and complexity. It can range from a minimum of one month to a maximum of one year.

Customers see ROI with IBM Planning Analytics. It improves internal processes, reducing the need for extensive control departments and resulting in operational cost savings. More importantly, it enhances predictability in business and provides better insights into the potential impacts and implications of decisions.

The cost of IBM Planning Analytics is not cheap, considering the amount of money involved. However, it offers good ROI for customers.

IBM Planning Analytics is used for cross-departmental planning and forecasting by our customers. Different versions of the planning can be used, such as budgets and projections based on monthly results. The system keeps all historical data and tracks the development from projected numbers.

IBM Planning Analytics supports compliance and risk management within financial operations. It enables the calculation of impacts, such as increased interest rates, across various business areas. The effectiveness of risk management depends on the system setup and how risks are defined by the company.

In financial planning, IBM Planning Analytics aligns with current trends, including the use of AI and leveraging unstructured data. It is capable of handling large amounts of diverse data types. While it is unclear if IBM fully incorporates AI, it likely follows the trend as many companies do.

Before using Planning Analytics by IBM, consider your planning process and how it can be simplified. Understand that the system won't solve all issues on its own. 

Overall, I would rate IBM Planning Analytics as a nine out of ten.

I mostly use it for planning, reporting, and forecasting systems.

The customers make use of it to improve their budgeting and forecasting activities. They can make it more rapid and can forecast more frequently.

The scenario modeling capabilities in IBM Planning Analytics have impacted the customer's planning processes. It's frequently used to create different scenarios, compare them, and see which action leads to which result.

The speed of calculation, the ability to build complex models, integration with different data sources, and the flexibility to use Planning Analytics Workspace or create other front ends with REST API and JavaScript React.

The workspace API should be improved and documented so we know better which objects and tier-one objects are used.

We have been working with IBM Planning Analytics for 30 years now. We always work with the latest version. 

I would rate the stability a ten out of ten. 

The stability of IBM Planning Analytics has been beneficial. Otherwise, they wouldn't use it anymore. 

I would rate the scalability a ten out of ten. You can have a solution for a single user and a single task, or you can have a solution for thousands of users with ten thousand tasks.

Most of our customers are medium to enterprise businesses. 

Smaller customers cannot afford a long development time.  

The customer service and support could be improved. They could sometimes go more directly to the real problem and not provide obvious things that we have already tested. So we lose time during this process.

Positive

It's easy to set up. I would rate my experience with the initial setup a nine out of ten, where one is difficult and ten is easy to set up.

We had a bug in computation a long time ago, but that was solved. Normally, we can rely on the computations being correct.

It is mostly deployed on-premises. 

Deployment time:

The initial setup is quite fast, but the system grows and gets more complex over time. Planning Analytics is not a ready-made product; you develop it with the customers based on their specific needs. So from the beginning to the first use, it takes four to six months. If you start from scratch, it can take longer. But if the customer buys pre-designed modules, it's faster.

So the most time it can take is up to six months, if you start from scratch. If the customer buys already designed modules, you're faster.

Deployment process:

We always have a development, test, and quality assurance system, and then a production system. 

We have continuous development and deployment for projects that run for two to three years because the customer develops a huge, complex planning and reporting solution. So it doesn't stop after installation. It's not like an app that is ready to use after installation.

Overall, I would rate the solution a nine out of ten. 

My recommendation:

Check for a solution that is similar to your needs because it's not easy to understand how it works sometimes. If you see a similar solution, you can easily compare. Every year, there's a big conference where customer solutions are shown to other customers.

So it's really important to have resources who have knowledge of the product.

We use the solution for testing and budgeting. 

The tool is flexible. 

The tool should include features for prediction. It can also improve the scalability. 

I have been working with the product for ten years. 

I would rate the product's scalability an eight out of ten.

I would rate the product's scalability a seven out of ten. 

The solution's setup takes six to eight months to complete. I would rate the product's setup an eight out of ten. 

I would rate  the tool's pricing a nine out of ten since it's expensive. 

We have enterprise customers for the solution. You can use the solution if you are looking for a flexible product. It's flexible to adapt to any business model or industry. 

I use Planning Analytics for sales and commercial planning schemes and monthly and quarterly forecasts for cash and budgets.

Planning Analytics' best features include automatic updates and slicing.

Planning Analytics could be improved by adding automation features.

I've been using Planning Analytics for four years.

Planning Analytics is stable.

Planning Analytics is easy to scale.

The initial setup was easy.

We used an in-house team.

I would recommend Planning Analytics to other users as it's user-friendly, accessible, and flexible. I'd give it a rating of nine out of ten.