SAP SAC stands for SAP Analytics Cloud. It is a cloud-based analytics solution offered by SAP, a leading enterprise software company. SAP SAC integrates business intelligence, planning, and predictive analytics in a single platform, enabling organizations to analyze, visualize, plan, and make data-driven decisions across their business.
Key features of SAP SAC include:
Business Intelligence (BI):
SAP SAC allows users to create interactive dashboards and reports using data from various sources, such as SAP systems, databases, and cloud applications. Users can explore data visually, perform ad-hoc analysis, and share insights with others.
Planning and Budgeting:
SAP SAC provides capabilities for financial planning, budgeting, and forecasting. Users can create models, set targets, and collaborate with stakeholders to align plans with business objectives.
Predictive Analytics:
SAP SAC incorporates machine learning and predictive analytics tools to help organizations forecast trends, identify patterns, and make data-driven predictions. Users can build predictive models, perform what-if analysis, and gain insights into future outcomes.
Data Connectivity:
SAP SAC offers connectivity to a wide range of data sources, including SAP and non-SAP systems, cloud applications, databases, and files. Users can import data, transform it as needed, and combine multiple data sources for comprehensive analysis.
Collaboration and Sharing:
SAP SAC facilitates collaboration among users by allowing them to share insights, reports, and dashboards securely. Users can annotate visualizations, discuss findings, and work together to analyze data and make decisions.
Mobile Support:
SAP SAC is accessible via web browsers and mobile devices, enabling users to access analytics and insights anytime, anywhere. The platform is optimized for mobile viewing and provides a consistent user experience across devices.
Overall, SAP SAC empowers organizations to leverage their data effectively, gain valuable insights, and drive better business outcomes through informed decision-making. It's widely used across industries for strategic planning, performance management, and operational analytics.
PROJECTS:
● VEDA
● TAHWEEL
● SMFF
Requirement: The client had SAC Tenant system and wanted us to deliver BI content for them.
Implementation: Finance, procurement and HR Dashboards with key KPI’s were delivered to the client.
Methodology: From Content Network>Business Content we installed below mentioned BI content:
● SAP Human Resources – SuccessFactors
● SAP Finance - Live based on Semantic Tags
● Procurement for SAP S/4HANA Cloud
Delivered:
● SAP Human Resources – SuccessFactors
● SAP Finance - Live based on Semantic Tags
● Procurement for SAP S/4HANA Cloud
Requirement: The client had SAC Tenant system and wanted us to deliver standard BI content.
Implementation: Following reports were prepared for the client:
● Production Planning
● Finance
● Sales and Distribution
● Product Management
● Human resources
● Material management
Methodology:
● Analytic models were created using S/4HANA live system.
● Standard queries were released for this process.
Delivered:
● Production Planning
● Finance
● Sales and Distribution
● Product Management
● Human resources
● Material management
Requirement: The client had already implemented SAC and wanted us to prepare reports for them based on the excel sheets they shared.
Implementation: Following reports were prepared for the client:
● Administration Marketing Export Analysis
● Finished Products Production
● Packaging Itemization Cost
● Production Overhead Source
● Sales Analysis
● Summary Income Statement
● Utilities Production Overhead
Methodology:
Above mentioned reports were created using already built models in the system.
Dimensions, measures and filters were applied to get the desired results and some reports were prepared using formulas.
Delivered:
● Administration Marketing Export Analysis
● Finished Products Production
● Packaging Itemization Cost
● Production Overhead Source
● Sales Analysis
● Summary Income Statement
● Utilities Production Overhead
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