Anaplan vs. Tableau Desktop

Anaplan revolutionizes the planning process by standardizing it, creating transparency in data, particularly in showcasing results to the management team. By replacing Excel-centric planning methods, Anaplan not only opens the door to handling larger datasets but also enables a more intricate level of data granularity at an accelerated pace. What sets it apart is its capacity to facilitate a seamless collaboration within a cross-functional model, accommodating diverse departments and business functions in a dynamic, real-time environment.

Tableau Desktop is one the finest tool available in the market with such a wide range of capabilities in its suite that makes it easy to generate insights. Further, if optimally designed, then its reports are fairly simple to understand, yet capable enough to make changes at the required levels. One can create a variety of visualizations as required by the business or the clients. The data pipelines in the backend are very robust. The tableau desktop also provides options to develop the reports in developer mode, which is one of the finest features to embed and execute even the most complex possible logic. It's easier to operate, simple to navigate, and fluent to understand by the users.

• Forcing structure and auditability to processes that used to exist in spreadsheets
• Strong calculation engine that can account for many dimensions
• Formula Syntax that is not overly complicated and can be learned by the business in order to have ownership of their models internally

• An excellent tool for data visualization, it presents information in an appealing visual format—an exceptional platform for storing and analyzing data in any size organization.
• Through interactive parameters, it enables real-time interaction with the user and is easy to learn and get support from the community.

Incentivized

• The "new" UX front-end offers a lot of modern and intuitive features, but it lacks the ability to view multiple "tabs" of dashboards and reports. The "classic" dashboard had this feature but now with the UX, you need to be really smart about how to design a single page where the users won't get "lost".
• Lacks the ability to "wrap text" (similar to excel) and auto-size grid rows

Incentivized

• Formatting the data to work correctly in graphical presentations can be time consuming
• Daily data extracts can run slowly depending on how much data is required and the source of the data
• The desktop version is required for advanced functionality, editing on [the] Tableau server allows only limited features

Incentivized

In any line of work, a tool that is flexible and would allow different departments of your company to easily interact and exchange valuable insights, is highly anticipated and needed. For me, what Anaplan provides to a business, be it a smaller one or an enterprise customer, is an easily scaling, agile planning and modeling platform that can meet almost any need and give a high-end solution to the problems any company faces on a daily basis.

Our use of Tableau Desktop is still fairly low, and will continue over time. The only real concern is around cost of the licenses, and I have mentioned this to Tableau and fully expect the development of more sensible models for our industry. This will remove any impediment to expansion of our use.

Incentivized

There is a dependency in this rating - in that I find Anaplan extremely easy to use, but I've spent the necessary time developing a strong understanding of the platform. Once you understand how to use it, the platform is flexible, easy to use, and fun to use.

Incentivized

Tableau Desktop has proven to be a lifesaver in many situations. Once we've completed the initial setup, it's simple to use. It has all of the features we need to quickly and efficiently synthesize our data. Tableau Desktop has advanced capabilities to improve our company's data structure and enable self-service for our employees.

There are very few outages. Maintenance is scheduled on two or three Saturdays per month, so as not to affect businesses. When there is an outage, users are kept informed of progress to restore the platform and typically this takes no more than an hour. Anaplan customer support is very responsive if we ever have questions about platform issues

When used as a stand-alone tool, Tableau Desktop has unlimited uptime, which is always nice. When used in conjunction with Tableau Server, this tool has as much uptime as your server admins are willing to give it. All in all, I've never had an issue with Tableau's availability.

Everything is calculated in memory in the cloud. It's nearly instantaneous updates when you make changes. The only time things get a little slow is when you have a massive model with very intricate calculations...but "slow" for Anaplan is not what I would call "slow" for something like Hyperion. We used to have Hyperion calcs that ran for 60 mins before you could use data. The equivalent would be 60 seconds in Anaplan.

Incentivized

Tableau Desktop's performance is solid. You can really dig into a large dataset in the form of a spreadsheet, and it exhibits similarly good performance when accessing a moderately sized Oracle database. I noticed that with Tableau Desktop 9.3, the performance using a spreadsheet started to slow around 75K rows by about 60 columns. This was easily remedied by creating an extract and pushing it to Tableau Server, where performance went to lightning fast

Incentivized

1. Anaplan has separate 24/7 customer support channel to help with queries, 2. Customer Partner from Anaplan to support vendor with their queries like license purchase, use case implementation support, customer advocacy 3. Anaplan Learning Platform to help learning new product features free of cost and Yearly Anaplan connect across globe to share success stories of various companies.

I have never really used support much, to be honest. I think the support is not as user-friendly to search and use it. I did have an encounter with them once and it required a bit of going back and forth for licensing before reaching a resolution. They did solve my issue though

Incentivized

The in-person training is simply not worth the cost. After a few weeks of playing in Anaplan, I went to the basic training and knew more than the person teaching it. a year down the road, I was the first person to complete the advance training, and again could have been teaching the class better than the person running the session. Spend some time on your own trying out different things and you will get all the understanding you need to be successful.

Incentivized

It is admittedly hard to train a group of people with disparate levels of ability coming in, but the software is so easy to use that this is not a huge problem; anyone who can follow simple instructions can catch up pretty quickly.

Anaplan training materials are clear, simple, easy to understand and to follow. Visuals are excellent. The vendor is good at updating training materials in a timely manner and encouraging users and administrators to keep coming back to Academy site for refresher courses or new feature courses. I really like their interactive diagrams

The training for new users are quite good because it covers topic wise training and the best part was that it also had video tutorials which are very helpful

Incentivized

Agile methodology and breaking the work down into sprints was very helpful. Implementation required a deeper dive into our data than expected for the consultants to be able to construct the data model. But once it was in place, the focus on knowledge transfer enabled us to be able to use the product effectively after the team rolled off.

Incentivized

Again, training is the key and the company provides a lot of example videos that will help users discover use cases that will greatly assist their creation of original visualizations. As with any new software tool, productivity will decline for a period. In the case of Tableau, the decline period is short and the later gains are well worth it.

Incentivized

Anaplan is what I would consider a modeling platform. It excels at taking a forecasting or planning process and systematizing it - and allowing for whatever nuances and granularity you need to perform that modeling. It is not positioned as "data collection" platform - which are typically designed to take data uploads from Excel to calculate basic opex and revenue models. It's much more customizable and flexible.

If we do not have legacy tools which have already been set up, I would switch the visualization method to open source software via PyCharm, Atom, and Visual Studio IDE. These IDEs cannot directly help you to visualize the data but you can use many python packages to do so through these IDEs.

Incentivized

We have managed to leverage Anaplan for financial planning and forecasting across the business. It is now used by almost every department, with more than 50 users (but I know of companies that have hundreds of users) and still the platform is quick and reliable. It is easy to make changes to divisions and departments or add users and apply different user settings - the core part of the model is not affected and end users can continue their work without any disruption

Tableau Desktop's scaleability is really limited to the scale of your back-end data systems. If you want to pull down an extract and work quickly in-memory, in my application it scaled to a few tens of millions of rows using the in-memory engine. But it's really only limited by your back-end data store if you have or are willing to invest in an optimized SQL store or purpose-built query engine like Veritca or Netezza or something similar.

• Speeding up the process of closing and updating the current month forecast
• Reduced work on the preparation of reports and presentations. We used different Anaplan approaches with varying success, but the overall result was there.
• It's hard to gauge, but the overall increase in process and algorithm transparency, along with data protection, has given an excellent platform for scaling up the company's processes.

Incentivized

• Tableau was acquired years ago, and has provided good value with the content created.
• Ongoing maintenance costs for the platform, both to maintain desktop and server licensing has made the continuing value questionable when compared to other offerings in the marketplace.
• Users have largely been satisfied with the content, but not with the overall performance. This is due to a combination of factors including the performance of the Tableau engines as well as development deficiencies.

Incentivized