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  1. Home
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  3. Analytics Cloud in SAP Business Data Cloud
Logo of Analytics Cloud in SAP Business Data Cloud

Analytics Cloud in SAP Business Data Cloud

bySAP
in
4.3
Market Presence: Analytics and Business Intelligence Platforms, Financial Planning Software

Overview

Product Information on Analytics Cloud in SAP Business Data Cloud

Updated 19th December 2023

What is Analytics Cloud in SAP Business Data Cloud?

The SAP Analytics Cloud solution let data and analytics leaders and practitioners in organizations running enterprise applications from SAP unlock the potential of all their investments in mission-critical business applications and valuable data sources. It brings together analytics, business intelligence (BI), and planning augmented with the power of artificial intelligence (AI), data science (DS), and machine learning (ML). It connects live at the point of decision and action without moving data from their SAP enterprise applications to keep the complete business context. The built-in planning engine enables them to go beyond simple visualizations, they can run simulations and forecasts, and collaborate for decision-making. Over 300 packages of industry best practices for AI-infused analytics and BI enable them to de-risk their projects and accelerate business outcomes.

Analytics Cloud in SAP Business Data Cloud Pricing

The SAP Analytics Cloud solution is available as software as a service (SaaS) in the public from the cloud provider of your choice on a user subscription basis. Flexible subscription options are available for business intelligence and augmented analytics only or combined with enterprise planning to meet all your organization’s needs.

Analytics Cloud in SAP Business Data Cloud Product Images

SAP Analytics Cloud
SAP Analytics Cloud
Simulation / Value Driver Tree
Simulation / Value Driver Tree
Augmented Analytics
Augmented Analytics

Overall experience with Analytics Cloud in SAP Business Data Cloud

Associate Vice President Of Reporting And Data Analytics
Gov't/PS/ED <5,000 Employees, Education
FAVORABLE

“Effective clarity and integration for complex data, but steep learning curve remains”

5.0
Jul 14, 2026
This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions.
BUSINESS INTELLIGENCE ARCHITECT
250M - 500M USD, Manufacturing
CRITICAL

“SAP Analytics Cloud Offers Strong SAP Connections But Administration Remains Challenging”

3.0
Jan 9, 2026
This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions.

About Company

Company Description

Updated 13th August 2025

SAP was founded in 1972 and is headquartered in Walldorf, Germany. The company employs over 105,000 people globally and develops software solutions for enterprise resource planning (ERP) and related business functions. SAP’s early products, SAP R/2 and SAP R/3, were widely adopted for managing core business processes. Its current ERP platform, SAP S/4HANA, uses in-memory computing to support data-intensive operations and integrates capabilities such as artificial intelligence and machine learning. SAP offers a portfolio of software applications that support various business functions across industries. These applications are designed to operate on a unified digital platform. As of 2025, SAP reports over 230 million cloud users and provides more than 100 solutions. The company’s offerings are used by organizations to manage finance, human resources, procurement, supply chain, and other operational areas.

Company Details

Updated 13th August 2025
Company type
Public
Year Founded
1972
Head office location
Walldorf, Germany
Number of employees
10001+
Annual Revenue
30B+ USD
Website
http://www.sap.com

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Key Insights

A Snapshot of What Matters - Based on Validated User Reviews

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Peer Discussions

Analytics Cloud in SAP Business Data Cloud Reviews and Ratings

4.3

(589 Ratings)

Rating Distribution

5 Star
38%
4 Star
48%
3 Star
12%
2 Star
1%
1 Star
1%
Why ratings and reviews count differ?
  • Associate Vice President Of Reporting And Data Analytics
    Gov't/PS/Ed
    Education
    Review Source

    Effective clarity and integration for complex data, but steep learning curve remains

    5.0
    Jul 14, 2026
    My overall experience with Analytics Cloud in SAP Business Data Cloud has been exceptionally positive, primarily because it brings an incredible level of clarity and structure to coordinating our complex institutional data. The main reason this system is such a lifesaver for our teams is how effectively it handles massive volumes of data from various departments, linking everything together so we can see the bigger picture. When you are managing student outcomes, financial trends and departmental performance across multiple locations, having a single cloud platform to organize this information prevents vital details from getting lost and helps us make proactive, confident decisions. On the operational side, the reporting and visualization tools have worked beautifully for our daily workflows. The reporting capabilities allow us to pull together comprehensive summaries and operational data on demand, keeping everyone from department chairs to executive leaders on the exact same page with real time updates. Turning that raw information into visual dashboards is incredibly simple and the visualization features let us build clear, interactive charts and graphs that make highly complex academic and financial trends easy to understand at a glance, even for staff members who are not particularly tech savvy. The integration and predictive analytics features have also been major strengths in our day-to-day operations. The seamless integration allows us to pull directly from our core databases and student systems without having to manually extract, clean and copy data back and forth between different platforms. Once the data is unified, the predictive analytics tools do a fantastic job of highlighting hidden trends and uncovering deep insights within our student enrollment and budget patterns that we definitely would have missed using traditional spreadsheets.
  • Associate Vice President Of Reporting And Data Analytics
    Gov't/PS/Ed
    Education
    Review Source

    Effective clarity and integration for complex data, but steep learning curve remains

    5.0
    Jul 14, 2026
    My overall experience with Analytics Cloud in SAP Business Data Cloud has been exceptionally positive, primarily because it brings an incredible level of clarity and structure to coordinating our complex institutional data. The main reason this system is such a lifesaver for our teams is how effectively it handles massive volumes of data from various departments, linking everything together so we can see the bigger picture. When you are managing student outcomes, financial trends and departmental performance across multiple locations, having a single cloud platform to organize this information prevents vital details from getting lost and helps us make proactive, confident decisions. On the operational side, the reporting and visualization tools have worked beautifully for our daily workflows. The reporting capabilities allow us to pull together comprehensive summaries and operational data on demand, keeping everyone from department chairs to executive leaders on the exact same page with real time updates. Turning that raw information into visual dashboards is incredibly simple and the visualization features let us build clear, interactive charts and graphs that make highly complex academic and financial trends easy to understand at a glance, even for staff members who are not particularly tech savvy. The integration and predictive analytics features have also been major strengths in our day-to-day operations. The seamless integration allows us to pull directly from our core databases and student systems without having to manually extract, clean and copy data back and forth between different platforms. Once the data is unified, the predictive analytics tools do a fantastic job of highlighting hidden trends and uncovering deep insights within our student enrollment and budget patterns that we definitely would have missed using traditional spreadsheets.
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User Sentiment About Analytics Cloud in SAP Business Data Cloud
Reviewer Insights for: Analytics Cloud in SAP Business Data Cloud
Deciding Factors: Analytics Cloud in SAP Business Data Cloud Vs. Market Average
Performance of Analytics Cloud in SAP Business Data Cloud Across Market Features

Analytics Cloud in SAP Business Data Cloud Likes & Dislikes

Like

I like many features of Analytics Cloud in SAP Business Data Cloud. One of the features I like is the incredible ease of data visualization, which saves us from drowning in endless spreadsheets. The platform lets us turn vast amounts of complex operational data into clean, interactive dashboards and visual charts on the fly, which makes it incredibly easy for our department heads and staff to spot emerging trends or identify sudden patterns in our records without needing a degree in database management. Another feature I like is the powerful predictive analytics capabilities built right into SAP Analytics Cloud. This has completely changed the way we handle planning, as machine learning models analyze our historical trends to help us forecast future enrollment shifts and resource demands with real confidence. Having these automated predictions at our fingertips allows us to proactively adjust our staffing and course offerings before a semester even begins, rather than just reacting to what happened in the past. Another feature I like is the seamless integration we get across the entire SAP Business Data Cloud ecosystem. Because the platform connects directly to our main student databases and administrative records, we can compile real time reports and run deep analytics without having to manually extract, clean and transfer massive data files back and forth between different systems, keeping our daily reporting workflows completely unified and highly efficient.

Like

I like many features of Analytics Cloud in SAP Business Data Cloud. One of the features I like is the incredible ease of data visualization, which saves us from drowning in endless spreadsheets. The platform lets us turn vast amounts of complex operational data into clean, interactive dashboards and visual charts on the fly, which makes it incredibly easy for our department heads and staff to spot emerging trends or identify sudden patterns in our records without needing a degree in database management. Another feature I like is the powerful predictive analytics capabilities built right into SAP Analytics Cloud. This has completely changed the way we handle planning, as machine learning models analyze our historical trends to help us forecast future enrollment shifts and resource demands with real confidence. Having these automated predictions at our fingertips allows us to proactively adjust our staffing and course offerings before a semester even begins, rather than just reacting to what happened in the past. Another feature I like is the seamless integration we get across the entire SAP Business Data Cloud ecosystem. Because the platform connects directly to our main student databases and administrative records, we can compile real time reports and run deep analytics without having to manually extract, clean and transfer massive data files back and forth between different systems, keeping our daily reporting workflows completely unified and highly efficient.

Like

I like many features of Analytics Cloud in SAP Business Data Cloud. One of the features I like is the incredible ease of data visualization, which saves us from drowning in endless spreadsheets. The platform lets us turn vast amounts of complex operational data into clean, interactive dashboards and visual charts on the fly, which makes it incredibly easy for our department heads and staff to spot emerging trends or identify sudden patterns in our records without needing a degree in database management. Another feature I like is the powerful predictive analytics capabilities built right into SAP Analytics Cloud. This has completely changed the way we handle planning, as machine learning models analyze our historical trends to help us forecast future enrollment shifts and resource demands with real confidence. Having these automated predictions at our fingertips allows us to proactively adjust our staffing and course offerings before a semester even begins, rather than just reacting to what happened in the past. Another feature I like is the seamless integration we get across the entire SAP Business Data Cloud ecosystem. Because the platform connects directly to our main student databases and administrative records, we can compile real time reports and run deep analytics without having to manually extract, clean and transfer massive data files back and forth between different systems, keeping our daily reporting workflows completely unified and highly efficient.

Dislike

Complex modelling and analytical cases are not easy to achieve; joining of multiple data sets, especially non-SAP data will generally require jumping into another tool. Role and access management and data access controls are shockingly poor, requiring a high degree of manual effort and often unclear / unexplained options. File and access management feels like old-school Windows file access, breaks easily, and has no overview of who has access to what / which users have access to a given object or folder. Administration is very challenging, with changing paradigms offering incomplete experiences that lack in practical use cases or end-to-end usability. Product feels like it is still in early stages of active development.

Dislike

Complex modelling and analytical cases are not easy to achieve; joining of multiple data sets, especially non-SAP data will generally require jumping into another tool. Role and access management and data access controls are shockingly poor, requiring a high degree of manual effort and often unclear / unexplained options. File and access management feels like old-school Windows file access, breaks easily, and has no overview of who has access to what / which users have access to a given object or folder. Administration is very challenging, with changing paradigms offering incomplete experiences that lack in practical use cases or end-to-end usability. Product feels like it is still in early stages of active development.

Dislike

Complex modelling and analytical cases are not easy to achieve; joining of multiple data sets, especially non-SAP data will generally require jumping into another tool. Role and access management and data access controls are shockingly poor, requiring a high degree of manual effort and often unclear / unexplained options. File and access management feels like old-school Windows file access, breaks easily, and has no overview of who has access to what / which users have access to a given object or folder. Administration is very challenging, with changing paradigms offering incomplete experiences that lack in practical use cases or end-to-end usability. Product feels like it is still in early stages of active development.