Anaplan is a scenario planning and analysis platform designed to optimize decision-making in complex business environments so that enterprises can outpace their competition and the market. By building connections and collaboration across organizational silos, the Anaplan platform surfaces key insights.
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Denodo
Score 8.1 out of 10
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Denodo is the eponymous data integration platform from the global company headquartered in Silicon Valley.
Anaplan is a great tool for complex modeling of the future. When you are planning your actions for the future, have multiple, disparate datasets to interact with, have dozens if not hundreds of stakeholders who must contribute and need to be guided via a streamlined workflow engine, require complex logic that can grow with your org, require real-time reporting, and you need it all in less than 6 months.
Denodo allows us to create and combine new views to create a virtual repository and APIs without a single line of code. It is excellent because it can present connectors with a view format for downstream consumers by flattening a JSON file. Reading or connecting to various sources and displaying a tabular view is an excellent feature. The product's technical data catalog is well-organized.
Ability to decide if to apply the formula or a manual input on front end for each line item
Real Time Data Transfer across models. Currently Data is transferred using Processes across different models. Having a functionality to access data from any model in real time would be great
Caching - but I am sure it will be improved by now. There were times when we expected the cache to be refreshed but it was stale.
Schema generation of endpoints from API response was sometimes incomplete as not all API calls returned all the fields. Will be good to have an ability to load the schema itself (XSD/JSON/Soap XML etc).
Denodo exposed web services were in preliminary stage when we used; I'm sure it will be improved by now.
Export/Import deployment, while it was helpful, there were unexpected issues without any errors during deployment. Issues were only identified during testing. Some views were not created properly and did not work. If it was working in the environment from where it was exported from, it should work in the environment where it is imported.
Anaplan is a very strong multi-dimensional modeling tool that provides a calculation engine to empower a complex planning process. It is fairly easy to learn for those with experience in similar tools, or excel. It forces structure and auditability that spread sheets do not have, along with extensive security capabilities
Anaplan's usability is very good. Users can customize reports and make adjustments with very little training. They can quickly plan and collaborate very easily. Making large adjustments or creating complex functionality may require more experience or training but a lot of tasks can be completed by users with very little experience
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.
Denodo is a tool to rapidly mash data sources together and create meaningful datasets. It does have its downfalls though. When you create larger, more complex datasets, you will most likely need to cache your datasets, regardless of how proper your joins are set up. Since DV takes data from multiple environments, you are taxing the corporate network, so you need to be conscious of how much data you are sending through the network and truly understand how and when to join datasets due to this.
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.
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 platform allows a flexible implementation mechanic to be put in place, since the possibilities and functionalities are vast and there are very few things the tool cannot do well. The solutions for the financial planning and the integrated business planning we put in place were easily adopted by the end users and their day-to-day work was made easier.
Compared to OneStream and Venna Anaplan offers a more modern look and feel of the platform. It is better situated and maintained in regards of platform updates as it's a full SaaS software there are never any issues with the system version as it's always automatically up to date with no backward compatibility issues. Due to the flexible nature of the modelling engine, it is also better suited to perform larger multi-department use cases, like IBP (Integrated Business Planning)
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
We've typically seen an average of 40% removal of time from processes using Anaplan an enabler
Though difficult to quantify, we consistently find our processes less error prone than in the past. Essentially, we've removed a previously "hidden cost" of risk due to poor data quality that was buried in our processes.
