Anaplan vs. Workday Prism Analytics

Anaplan is best suited for strategic planning initiatives in industries like CPG, Manufacturing, FS, Pharma. It can handle multiple use cases for each function in the company like Supply chain, Finance, Sales and more. It is one of the best tools I have seen in scenario modelling. It is not suitable for very detailed level planning, essentially execution level eg. Production scheduling.

In my organization, we mainly use Workday Prism Analytics in HR and Finance departments. It not only enables us to make data-centric decisions but also helps reduce the need for data experts since we are able to visualize data on our own through self-service analytics.

Incentivized

• Ingest and integrate disconnected datasets and sources that speak different "languages"
• Flexible security and user-oriented customization of dashboards and datasets
• Smart architecture allows creative license to connect planning processes that have different time horizons and granularities
• Real-time ("live") collaboration is particularly useful for globally spread teams in different time-zones

Incentivized

• It's web based. No need to install any desktop clients on your machine to use platfora.
• It's best suited for a big data Hadoop environment. I can rate it as the #1 BI tool for a big data hadoop environment.
• Platfora follows kind of the same architecture as Hadoop architecture like Master and Slave architecture. It scales with the data volumes.
• Querying data is very good and very fast. (Platfora Lens)
• Client presentation wise it's good. You can get different kinds of graphs.
• Platfora almost supports everything on Big Data technologies including file formats, compression etc.
• Security is not compromised and it can deal in parallel with any Hadoop distributor security implementations. Just take an example of Knox on Hortonworks, so it will deal with that and cloudera , MapR
• Its very easily understandable and for the new people who wants to try platfora, learning curve is low
• You can create your own datasets in platfora. You can store your results as a dataset in platfora and can share across

Incentivized

• I would like there to be additional visualization improvements/features for reports
• Additional technical support resources would be great to quickly resolve bugs
• I would like for improvements around the ability to have a lot of dimensions in a table of data and the speed around processing those calcs.

• Data Movement - Data needs to be moved from Hadoop to Platfora to create Platfora Lens and to do analytics.
• To support Data movement, infrastructure cost is high.
• To support data movement, network bandwidth consumption is high.
• No trial versions for companies to evaluate.

Incentivized

Anaplan is already an established market leader in enterprise planning area. Its flexibility to build multi-dimensional models, real time scenario plannings are proven to be the best features and successfully implemented by global organizations. Anaplan's ambitious product team is ensuring to roll out new features regularly based on customer/ partner feedback. e.g their new improved polaris environment has strong potential to build very large models without worrying about sparsity. The integration with other tools/technologies is being easier (e.g. cloudworks). Hence, considering Anaplan as a platform that has proved to be successful tool in enterprise level planning, its focus on regular feature enhancements and future release roadmaps I believe this platform has potential to evolve further along with our business processes and requirements

Anaplan is interesting because it is at the same time easy to use and difficult to use. An end user can navigate a well-constructed app, being pointed in the right direction every time they feel a slight bit of confusion, and find everything they need in what feels like a straight line. Similarly, a model builder (developer of sorts) can have the exact same experience, but the journey is longer and more complicated. End users have great experiences with Anaplan, but sometimes model builders have a frustrating one. That is not to say model building is hard (because it truly is not), but things change, and when things change in complex systems, the effort required simply to investigate where a model builder needs to make an adjustment may frustrate them but also frustrate their non-technical bosses. However, the reality is that with complicated businesses, complicated business problems, come complicated solutions. It is actually a testament to Anaplan's capabilities that it has taken on the biggest problems at the biggest companies. It may be daunting to adjust it in those environments, but at least you know it did meet the needs there, which is more than most tools can say.

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

Generally, pages load quickly and reports complete within a reasonable timeframe. However, when working with large or complex datasets or during times of multiple active users, performance can sometimes be impacted. That said, much of the performance depends on how the model is built and whether best practices have been followed. Optimized models tend to perform much better, so the experience can be somewhat subjective based on the setup.

Support quality has dropped since Thoma Bravo has taken over. I think some serious re-focus needs to happen here -- part of the beauty of being in the Anaplan community was how involved you felt in it before. Before I didn't dread sending a support ticket, now I am starting to.

In my opinion, in-person training is always the best if you have the option to do so. This allows real-time interactions with the instructions, whereas the online training I took required me to write-down questions, email them, and wait for responses. This slows down the process, as you can imagine. That said, in-person training is an extra cost and it likely isn't needed for everyone. I would suggest selecting a small number of people to take in-person training and then having them act as mentors to the rest of your team. That way, as the rest of the team takes the online training, they have a resource to help them in real time.

Learning made easy . One of the best trainings i have attended. Training was very detailed training by the trainer, which helped me understand the basics of the model building. Level 1 training was easy and instructor was most helpful here. Level 2 training was challenging but was able to go thru due to understanding of the basics.

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

Anaplan is one of the only tools flexible to handle bespoke commission calculations. In addition to Sales Performance Management, Anaplan can be used to support other business functions, such as workforce planning or financial planning & analysis. Anaplan provides the scalability needed for an enterprise-level solution. While taking longer to implement, it also can provide a greater ROI.

Both are great products. The advantage of SAP Workforce Analytics is that it's widely interoperable between different APIs and databases. Having said that, Workday Prism Analytics scores much better in user-friendliness and the learning curve for the teams to start using it is very low. If Workday enhances its APIs functionality, it can compete easily with SAP Workforce Analytics.

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

• Reduction in time spent by sales ops team in processing compensation by almost 20 %
• Ability to drill down into each compensation calculation to understand the details of how the comp is calculated. This has provided more transparency / traceability to end users
• we are able to release updates to the system faster as it is easier to maintain and sync

• Improved ROI by decreasing the necessary time investment that managers must make to upkeep employee data sectors.
• Improved ease of access for employees, reducing unnecessary communication between employees and management.
• Has led to fewer accounting errors overall.

Incentivized