SAC

SAP Analytics Cloud (SAC) is a cloud-based Business Intelligence (BI), Planning, and Predictive Analytics solution offered by SAP. Built on the SAP Business Technology Platform (BTP), SAC integrates data visualization, financial planning, and machine learning-driven insights into a single platform. It is designed to provide real-time analytics and decision-making capabilities for enterprises looking to unify their analytics strategy.

Key Features of SAP Analytics Cloud

1. Business Intelligence (BI) & Data Visualization

SAC enables organizations to analyze and visualize data from multiple sources, both SAP and non-SAP.

  • Interactive Dashboards: Users can create real-time dashboards with drag-and-drop functionality.
  • Self-Service Analytics: Business users can independently explore data without IT support.
  • Live & Import Data Connections: Supports live connections to SAP S/4HANA, SAP BW, SAP HANA, and external sources like Google BigQuery, Microsoft SQL Server, Snowflake, and AWS Redshift.
  • Data Modeling: Users can clean, transform, and enrich data directly in SAC without the need for external tools.

2. Planning & Financial Forecasting

SAP Analytics Cloud provides enterprise-wide planning capabilities that integrate with existing SAP ERP solutions.

  • Integrated Financial Planning: Combines actuals with planned data to support budgeting and forecasting.
  • What-If Scenarios: Users can simulate different financial and operational scenarios to assess business impact.
  • Version Management: Multiple planning versions allow scenario comparisons.
  • Collaborative Enterprise Planning: Teams can work together on financial models, budgets, and forecasts in a centralized system.

3. Predictive Analytics & Artificial Intelligence (AI)

SAC includes machine learning-powered predictive analytics to enhance business intelligence.

  • Smart Insights & Smart Discovery: AI automatically detects key trends, correlations, and anomalies in data.
  • Predictive Forecasting: Helps organizations automate trend predictions using past data patterns.
  • Augmented Analytics: AI-based recommendations help business users gain faster insights without technical expertise.

4. Augmented Analytics & Natural Language Processing (NLP)

SAC incorporates augmented analytics to make insights more accessible.

  • Natural Language Query (NLQ): Users can ask questions in plain language (e.g., “Show me revenue by region”), and SAC provides visualized responses.
  • Conversational AI & Chatbot Integration: Supports automated query responses via AI-driven assistants.

5. Security & Governance

  • Role-Based Access Control: Ensures that only authorized users can access or modify data.
  • Data Privacy & Compliance: Complies with GDPR, SOC2, and other global regulations.
  • Cloud-Based Scalability: Runs on SAP’s cloud infrastructure with high availability and security.