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About SAP Analytics Cloud

SAP Analytics Cloud is a cloud-based analytics software from SAP that enables data visualization and improved business intelligence. It combines data connectivity, collaborative features, and advanced analytics so users can gain insights and make informed decisions. The platform integrates smoothly with SAP Business Data Cloud, allowing for comprehensive data analysis and reporting. Additionally, it supports interactive dashboards and storytelling capabilities for improved data presentation. Users can explore various data sources and use predictive analytics to better anticipate business trends. Key capabilities: data connectivity collaborative features advanced analytics interactive dashboards predictive analytics Best for: organizations that need reliable analytics solutions for data-driven decision-making.

SAP Analytics Cloud Details

Vendor
SAP
Year Launched
1972
Location
USA
Deployment
cloud
Training Options
documentation, videos, live online
Countries Served
All Countries
Languages
English, Spanish, French, German, Italian, Portuguese, Japanese, Chinese, Korean
Users
Business Analysts, Data Scientists, IT Professionals, Marketing Managers, Finance Managers, Sales Managers, Human Resources Professionals, CEOs, Project Managers, Operations Managers, Supply Chain Managers.
Industries Served
Healthcare, Education, Finance, Retail
Tags
Business intelligence, analytics, data visualization, cloud-based, enterprise software.

SAP Analytics Cloud's In-App Market Place

Does SAP Analytics Cloud have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

0

Mini Apps

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

USD ($)

Pros & Cons

  • 1. Integration with various data sources such as SAP applications, databases, and external sources allows for comprehensive data analysis
  • 2. Collaborative features enable team members to work together on data analytics projects in real-time
  • 3. Powerful predictive analytics capabilities help in forecasting trends and making data-driven decisions
  • 4. Interactive dashboards and visualizations make it easy to interpret and present data insights to stakeholders
  • 5. Embedded analytics ensure that data analysis is seamlessly integrated into existing business processes
  • 1. Steeper learning curve for beginners
  • 2. Limited customization options for advanced users
  • 3. Expensive pricing plans for small businesses
  • 4. Occasional glitches and bugs in the system
  • 5. Integration with other software can be challenging

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