SAP Analytics Cloud Future of Business Analytics.
Use Cases and Deployment Scope
SAC (SAP Analytics Cloud) is a powerful tool for leveraging stored historical data in the BI module to generate meaningful insights for senior managers and CXOs (Executive levels). Using the SAC report in the GSC (Global Supply Chain) Make module helped to do inventory planning and demand forecasting using BI historical data and Cloud analytics capabilities. It helped to do financial planning for placing Purchase Orders by doing in-advance analytics-based real-time planning for raw or semi-finished goods demand.
Pros
- SAC has well-built integration points with BI data sources, the S/4HANA backend system, and 3rd-party tools to extract and derive meaningful insights from past data.
- SAC reports provide an interactive way to analyze data across multiple dimensions, enabling Leaders to see different perspectives before making a decision. This means you don't have to spend hours doing analysis in different ways to see the actual output for decision-making. SAC provides a single dashboard for multi-dimensional analysis.
- Its user-friendly UI and dashboard-based reports make it easy for a commoner to use. Its accessibility across multiple devices, such as mobile/ laptop, and tablet, makes it an on-the-go decision-making tool, available anywhere and everywhere.
Cons
- Integration with 3rd party system might require not-so-easy configurations and set-up that might be time taking and not plug-and-play kind.
- For very large dataset, the performance issue might be observed that may be a negative as compared to competitor tool's performance.
- While it works seamlessly with HANA and SAP BI dataset, integration with 3rd party systems like Blue Yonder or Oracle Financials might not be efficient when extracting data and creating meaningful insights.
Likelihood to Recommend
>> Using SAC predictive analytics capabilities for inventory management in a Production line setup has helped generate Purchase Requisitions and Purchase Orders for raw or semi-finished goods without much head-banging into Demand management rules. It does it beautifully with seamless integration with HANA core MM and PP modules, along with BI integration. It has resulted in 30% greater warehouse storage capacity, thereby saving revenue from piled-up inventory and associated manpower costs. >> SAC sometimes shows latency in working out a large data set, thus giving a poor user experience compared to its competition. Also, it may occasionally show misinterpretations when embedding data from 3rd-party systems into the HANA core dataset.
