Anaplan is a transformative way to see, plan, and run your business. Using its proprietary Hyperblock™ technology, Anaplan lets you contextualize real-time performance, and forecast future outcomes for faster, confident decisions. Anaplan enables connected strategy and planning across your enterprise to move your business forward. Based in San Francisco, Anaplan has over 200 partners and more than 2,000 customers worldwide.
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Tableau CRM
Score 8.3 out of 10
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Tableau CRM (formerly Einstein Analytics) from Salesforce is a cloud-based business intelligence solutions and analytics software. It provides users with automated data discovery, CRM-connected analytics, top-down views of data, augmented analytics, predictive insights, and customizable data visualization tools.
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.
If the person/ department does not have any knowledge in open source tools such as R, and Python. [Salesforce Einstein Analytics (formerly Wave Analytics)] could be a good option with no coding background required. However, if they have such human resource or can acquire these people, I would recommend open source tech and suggest not to use this tool.
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
Implementation takes time and resources. It is a heavy lift to implement and at first, it can take a little bit of time to understand what you are looking at. But once it's implemented it's easy to get started.
Without any BI expertise or resources available to your organization, the implementation of this is difficult. If you aren't used to BI tools and don't have an expert in house, the terminology can be difficult to understand at first.
Their support is not on hand to help you if you encounter any issues, at least not on all the plans or the basic plans. Real-time support service is an add-on, so you'll need to be patient if you require help or pay extra money.
More functionality for the tool is needed to compete with other heavyweights in the arena like Tableau, Qlik, and Microstrategy. Still lacks the robustness, functionality, and flexibility other competing products possess.
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.
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.
Overall usability is absolutely worth the price. It help me to save tons of time working on raw data in Excel file. It also minimize the discrepancy in data format when there are multiple user inputting the data. Every data inputted in Salesforce is standardized, therefore it is very easy to keep track / generating performance report even though you are having more than 20 projects recorded in Salesforce Einstein Analytics.
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
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.
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 not come across any bad experiences with the support provided. Also, I observed regular updates have been implemented without breaking the tool. But in my opinion, Now Tableau CRM has huge market challenges with tools like Power BI and its spread
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.
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
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.
An implementation partner would certainly result in greater output in a more efficient amount of time. However, I have found implementation partners to be extremely expensive for the output received (at least working for a non-profit company they are frequently unaffordable). Internal implementation does help with usable output though since internal knowledge would better know the data architecture and business processes
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.
Tableau is the absolute top of the class when it comes to business intelligence, but it doesn't make sense for every business case. In our case, we needed a simple data visualization platform for our CRM platform and sales pipeline. Salesforce Analytics, while nowhere near as robust, did the job we needed it to do perfectly in a significantly more cost-effective manner.
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
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.
