SAP Cloud ERP (SAP S/4HANA Cloud) is a modular ERP that enables users to run mission-critical operations in real time from anywhere, introduce new business models in any industry, and expand globally. SAP Cloud ERP is a SaaS product and can also be deployed in a hybrid landscape for quicker time to value. SAP Cloud ERP is a foundational component of the
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Tableau Desktop
Score 8.4 out of 10
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Tableau Desktop is a data visualization product from Tableau. It connects to a variety of data sources for combining disparate data sources without coding. It provides tools for discovering patterns and insights, data calculations, forecasts, and statistical summaries and visual storytelling.
$1,380
per year (purchased via a Creator license)
Pricing
SAP Cloud ERP
Tableau Desktop
Editions & Modules
No answers on this topic
Tableau Creator License
$115
per month (billed annually) per user
Offerings
Pricing Offerings
SAP Cloud ERP
Tableau Desktop
Free Trial
Yes
No
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
Yes
Yes
Entry-level Setup Fee
Required
No setup fee
Additional Details
Per user, per month
All pricing plans are billed annually. A Creator license includes Tableau Desktop, Tableau Prep Builder, and Tableau Pulse. Discounts sometimes available for volume.
The platform utilizes advanced predictive analytics to anticipate operational bottlenecks and put them out of commission before the problems become larger. We can proactively develop effective strategies that help keep service quality in the face of unexpected changes in the …
SAP S/4HANA Cloud provides variety of options compared to Azure. Also the consolidation of all different factors in one single system is helpful for people in the organization.
Does well Manufacturing companies - E2E integration. Product Costing integration with manufacturing. Order to Cash - E2E integration, Joule, and openness to integrating third-party products. Less appropriate AI capabilities - competition is moving faster. E2E professional services business as business is evolving faster, and new ideas are coming in at a fast pace.
The best scenario is definitely to collect data from several sources and create dedicated dashboards for specific recipients. However, I miss the possibility of explaining these reports in more detail. Sometimes, we order a report, and after half a year, we don't remember the meaning of some data (I know it's our fault as an organization, but the tool could force better practices).
The software helps in forecasting and identifying potential challenges that would affect our organisation in the near future. This enables us to prepare in advance and also adopt practical and viable measures.
It enables faster and accurate data processing, which enhances decision-making.
It's easily customizable according to specific organizational needs. This promotes overall efficiency and productivity of the organization.
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.
The cost of SAP as an ERP is quite high and the switching costs associated with ERP systems are even higher. That being said moving from one ERP to another only happens once in a great while for large organizations. Those switching costs include retraining, IT hardware requirements, outside consultants and more
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.
Day to day data insight is more accurate for manufacturing industry to procure as per forecasted from supplier. Supply and fulfillment cycle becomes more easier. I would say more about performance as we are using this new server so we can see clear difference between SAP S/4HANA Cloud and ECC. Also it has customized business extensions for rapid development.
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.
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.
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
The support system I find great as whenever I run into problems they rectify them quickly as possible they never reacted late the support is just up to the mark for me. They provide many solutions to the problems I faced the [technical] team support is always amazing they [listen] to mean work accordingly.
Tableau support has been extremely responsive and willing to help with all of our requests. They have assisted with creating advanced analysis and many different types of custom icons, data formatting, formulas, and actions embedded into graphs. Tableau offers a weekly presentation of features and assists with internal company projects.
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.
I think the training was good overall, but it was maybe stating the obvious things that a tech savvy young engineer would be able to pick up themselves too. However, the example work books were good and Tableau web community has helped me with many problems
SAP requires a lot of internal and external resources to complete its successful implementation. The cloud version requires a deeper understanding of the different capabilities of the local systems (hardware) and the connection towards your local IT team. We found several problems on our systems that we couldn't foresee before the implementation and roll out.
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.
The platform utilizes advanced predictive analytics to anticipate operational bottlenecks and put them out of commission before the problems become larger. We can proactively develop effective strategies that help keep service quality in the face of unexpected changes in the market, or external disruptions, by continuously analyzing historical performance data as well as elements of the current market
I have used Power BI as well, the pricing is better, and also training costs or certifications are not that high. Since there is python integration in Power BI where I can use data cleaning and visualizing libraries and also some machine learning models. I can import my python scripts and create a visualization on processed data.
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.
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.