SAP SuccessFactors Workforce Analytics
Discover the capabilities and benefits of SAP SuccessFactors Workforce Analytics in this five minute customer demo which includes highlights of the connector to the SAP Analytics Cloud solution.
Business Intelligence versus Purpose Built (WFA)
SAP SuccessFactors WFA:
Comprehensive libraries of HR-specific metrics, analysis, benchmarks, and guidance for HR and the entire organization.
No customer warehouse or related infrastructure required.
Pre-delivered extractors from SAP (and other HR systems).
Deployed in the cloud.
SAP Analytics:
Flexible enterprise toolset based on SAP BW, SAP HANA, SAP BI, and SAP Analytics Cloud.
Selected pre-defined content for dashboards, cubes, and queries.
Standard SAP systems integrations.
Deployed on premise and in the cloud.
SAP Analytics Cloud/ Digital Boardroom and SAP SuccessFactors
SAP SuccessFactors is one of many data sources for SAP Analytics Cloud.
SAP Analytics Cloud (SAC) includes a connector supporting Workforce Analytics. This connector allows users to import data from WFA for analysis and inclusion within SAC models and stories. Stories form the basis of Digital Boardroom presentations, allowing WFA data to appear in these presentations.
Note
You can use the connector with both SAP SuccessFactors Workforce Analytics on both MS SQL and SAP HANA. The Workforce Analytics Connector also supports new Model, also known as a model with measures, within SAC.
How are SAP SuccessFactors Analytics and SAP Analytics Cloud Different?
SAP SuccessFactors Analytics:
Curated analytics content.
Integrating data (primarily HR) from SAP and 3rd parties.
Leveraging SAP SuccessFactors resources (managed) to build and maintain data models, transform and load data, and ensure data quality and security.
Customer can create own queries, metrics and dashboards.
Roles: HR Professionals and Analysts as producers; executive and managers across the organization as consumers
SAP Analytics Cloud:
Agile analytics tools.
Integrating data (any source) from SAP and 3rd parties.
Leveraging customer IT, analytics and data science teams (self-service) to manage the entire data acquisition and preparation process.
Customer can create own queries, metrics and dashboards.
Roles: BI Professionals and Data Scientists as producers; selected executive and leaders as consumers.