

SAP Analytics Cloud and Sigma compete in the data analytics solutions category. SAP Analytics Cloud appears more favorable due to its advanced data visualization and integration capabilities.
Features: SAP Analytics Cloud provides machine learning capabilities, intuitive data modeling, and comprehensive planning functions. Sigma offers ease of data collaboration, real-time collaboration features, and a spreadsheet-like interface.
Ease of Deployment and Customer Service: SAP Analytics Cloud supports enterprise-level deployment with extensive integration support resources. Sigma ensures straightforward cloud-based deployment, enabling quick setup and seamless team collaboration.
Pricing and ROI: SAP Analytics Cloud involves higher initial setup costs, offering potential strong ROI for enterprises with extensive analytics needs. Sigma offers competitive pricing with quick adoption benefits, ideal for collaboration-focused teams.
It's essential for everything data-related within our company.
I have seen a return on investment with Sigma; we already said that it saves about a quarter, it gets me to answers about 25% faster.
I have definitely seen a return on investment through time saving because once the dashboards are built, they are built.
The technical support is a very well-organized service, with a lot of tools for me as a consultant and for the end user on how to contact SAP support and get issues solved.
We are satisfied with the technical support from SAP because when we reached out, we were able to get very good support from SAP colleagues.
I am satisfied with SAP's technical support team; they provide very good support.
As Sigma is a cloud platform, you do not need to do all that maintenance work.
SAP Analytics Cloud can be used by a small company, and it can be used by a large corporate.
I would rate its scalability up to nine on a scale of one to ten.
Permissions are easily set, so you only get to see what you need to see and you can share what needs to be shared.
You have a chance to test it on your test tenant in small increments, so it should not break your productive reports and productive environment.
We did not face typical errors during our project with Sigma.
On the other hand, it is perfectly fitting to the SAP environment, with seamless integration to all SAP modules, not only ERP but also SuccessFactors and other tools from the SAP family.
Documentation-wise, we see some gaps when trying to connect different solutions.
The main improvement needed is in data modeling capabilities.
Sigma lacks a versioning feature to track changes.
It would be great if there was a way for me to create reports without relying on a data analyst.
The pricing of Sigma is a concern, as it restricts our ability to provide more users with report-creating capabilities due to the high cost of admin or report creator licenses.
For SuccessFactors and S/4HANA Cloud, there are pre-built reports available which are commonly used by customers.
The capabilities of SAP Analytics Cloud that I consider the most valuable are that all three functionalities are in one tool.
The use of Sigma in decision-making, presentations to customers, and reporting to investors showcases its value in handling data-related tasks.
Sigma has positively affected my organization by saving us time in accessing information, which ultimately gets us to complete projects faster.
Sigma has positively impacted my organization because I think it has been a huge impact, and we use it for all our reporting and our dashboards for tracking.
| Product | Market Share (%) |
|---|---|
| SAP Analytics Cloud | 2.2% |
| Sigma | 1.6% |
| Other | 96.2% |
| Company Size | Count |
|---|---|
| Small Business | 24 |
| Midsize Enterprise | 13 |
| Large Enterprise | 39 |
| Company Size | Count |
|---|---|
| Small Business | 5 |
| Midsize Enterprise | 3 |
| Large Enterprise | 2 |
SAP Analytics Cloud is an all-in-one Software-as-a-Service business intelligence tool that provides the key functionalities of an analytics tool to SAP business users. This tool is built on HANA Business Intelligence (BI) platform, providing analytics from data collected from multiple sources, such as ERP, Microsoft SQL, and Salesforce, among other solutions.
You can use SAP Analytics Cloud to compile data and perform ad-hoc reporting and analysis for predictive planning. SAP Analytics Cloud collects and analyzes the raw data from transactional systems into intelligent insights that allow you to make better decisions.
SAP Analytics Cloud uses machine learning to clean up data, identify errors, and issues, and suggest optimization or filtering options. You can use the modeling feature in Analytics Cloud to create hierarchies and get deeper data insights.
The three core functions of SAP Analytics Cloud consist of Planning, Predictive Analysis, and Business Intelligence as a holistic SaaS solution that offers real-time analysis to business leaders.
SAP Analytics Cloud Capabilities
SAP Analytics Cloud Key Features
SAP Analytics Cloud Benefits
Reviews from Real Users
Segun O., SAP HANA Developer at SOA PEOPLE, says that "The most valuable features are on the application side, where you can design applications into your analytics on the platform."
The Head of Finance Enterprise Application at a computer software company adds that "The visualization feature is the most valuable. SAP Analytics Cloud is also very easy to use."
"Its many features make it the best in the market," sums up a Consultor SAP Business Object, Sap Analytics Cloud at a tech services company.
Sigma is the next-generation of analytics for cloud data warehouses with a familiar spreadsheet-like interface that gives business experts the power to ask any question of their data no matter the query.
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