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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SAS Viya
Score 6.9 out of 10
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An end-to-end platform for AI, data science, and analytics, used for modeling, as well as management and deployment of AI models.
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.
SAS Advanced Analytics excels with projects that have at least 3 parts. The first part is the ability to address and compare different modeling types. Suppose you are an analyst interested in predicting home prices or whether an individual will reapply for unemployment insurance. There are lots of model types that could work for these two situations. SAS Advanced Analytics makes it easy (although not as easy as SAS Enterprise Miner) to compare the performance of different modeling types, such as comparing support vector machines with random forest models. A second scenario that SAS Advanced Analytics does a good job at is making the analysis reproducible. By showing the lineage of analyses, another analyst is able to follow the work of the previous analyst. This is a huge advantage for individuals working in corporations or governments. The third area SAS Advanced Analytics is useful is in text analytics. The field is huge now, and I haven't come across a software that makes text analytics as easy as SAS Advanced Analytics.
Complex Survey Analysis- SAS is a great resource if you need to analyze complex survey data. One can easily write code for this by inserting (survey) in front of the procedure with the weight, cluster, and strata variables. (ex: surveyfreq)
Modeling/ Graphing- SAS creates clean and easy to understand graphs and models which take visual data to the next level.
Support- There is a large SAS Advanced analytics online support in place. It is easy to find help on many procedures that you will use in this software.
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
SAS Analytics does not have very good graphic capabilities. Their advanced graphics packages are expensive, and still not very appealing or intuitive to customize.
SAS Analytics is not as up-to-date when it comes to advanced analytical techniques as R or other open-source analytics packages.
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.
Not only does SAS become easier to use as the user gets more familiar with its capabilities, but the customer service is excellent. Any issues with SAS and their technical team is either contacting the user via email, chat, text, WebEx, or phone. They have power users that have years of experience with SAS there to help with any issue.
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.
If SAS Enterprise Guide is utilized any beginning user will be able to shorten the learning curve. This is allow the user a plethora of basic capabilities until they can utilize coding to expand their needs in manipulating and presenting data. SAS is also dedicated to expanding this environment so it is ever growing.
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
SAS probably has the most market saturation out of all of the analytics software worldwide. They are in every industry and they are knowledgable about every industry. They are always available to take questions, solve issues, and discuss a company's needs. A company that buys SAS software has a dedicated representative that is there for all of their needs.
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.
Although nothing is perfect, SAS is almost there. The software can handle billions of rows of data without a glitch and runs at a quick pace regardless of what the user wants to perform. SAS products are made to handle data so performance is of their utmost important. The software is created to run things as efficiently as SAS software can to maximize performance.
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.
SAS is generally known for good support that's one of the main reasons to justify the cost of having SAS licenses within our organization is knowing that customer support is just a quick phone call away. I've usually had good experiences with the SAS customer support team it's one of the ways in which the company stands out in my view.
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.
SAS has regional and national conferences that are dedicated to expanding users' knowledge of the software and showing them what changes and additions they are making to the software. There are user groups in most of the major cities that also provide multi-day seminars that focus on specific topics for education. If online training isn't the best way for the user, there is ample in-person training available.
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
There are online videos, live classes, and resource material which makes training very easy to access. However, nothing is circumstantial so applying your training can get tricky if the user is performing complex tasks. When purchasing software, SAS will also allocate education credits so the user(s) can access classes and material online to help expand their knowledge.
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.
Ask as many questions you can before the install to understand the process. Since a third party does the installation your company is sort of a passanger and it is easy to get lost in the process. It also helps to have all users and IT support involved in the install to help increase the knowledge as to how SAS runs and what it needs to perform correctly.
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.
We had major use of SAS in forecasting where it doesn't require high level of coding knowledge and which has highly efficient models built in which can give good results on forecasts without lot of manual intervention. This tool was designed specifically for forecasting and hence was always a better choice compared to other tools.
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
It all depends on the type of SAS product the user has. Scaleability differs from product to product, and if the user has SAS Office Analytics the scaleability is quite robust. This software will satisfy the majority of the company's analytic needs for years to come. In addition, if SAS is not meeting the users needs the company can easily find SAS solutions that will.
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.
SAS Advanced Analytics is not the cheapest software on the market. The overall cost was weighed against free, open-source software tools. The overall return, I think, was quite positive because SAS Advanced Analytics saves enormous amounts of time compared to the open-source software tools.
At first, adopting SAS Advanced Analytics was a negative return because it took time for individuals to change their analytics habits and adjust to superior tools available at their discretion.
SAS Advanced Analytics has replaced the need to hire less expensive R or Python programmers. So, although the software requires an initial expensive upfront investment, the ease of use makes it so that other areas of expenditure save money.
