Business Builder in SAP Datasphere bridges the gap between technical data and business understanding, enabling the business community to focus on data visualization and decision-making rather than technical complexities. Here's how it fosters visualization thinking with concrete examples:
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1. Creating Business Entities for Visualization
What it Enables: Business Builder allows users to model business entities (e.g., customers, products, regions) that represent meaningful data concepts aligned with business needs.
Example:
A marketing team wants to analyze customer lifetime value (CLV) across regions.
In Business Builder, they define a Customer entity with attributes like revenue, region, and engagement score.
This entity becomes the foundation for dashboards in SAP Analytics Cloud (SAC), where users can visualize CLV trends with charts and heatmaps.
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2. Simplifying Data Relationships
What it Enables: Models relationships between data entities, like hierarchies and joins, which are critical for dynamic drilldowns in visualizations.
Example:
A retail manager needs to compare sales by product category and subcategory.
In Business Builder, a Product entity is linked to a Sales entity using a relationship.
Visualization tools automatically use these links to enable dynamic drilldowns, allowing the user to move from overall sales trends to granular product-level insights.
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3. Semantic Modeling for Self-Service Visualizations
What it Enables: Maps technical data to business-friendly terms, making it easier for non-technical users to understand and use in dashboards.
Example:
An HR team is analyzing employee performance. Instead of dealing with complex database fields (emp_id, eval_score), Business Builder provides a semantic layer:
Fields like "Employee Name" and "Performance Score" are modeled.
This semantic model is used in SAC to create a dashboard with visualizations like bar charts comparing team performance.
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4. Reusable Models for Consistent Visualization
What it Enables: Allows the creation of reusable data models that multiple teams can leverage across different visualization tools.
Example:
The finance team models a Profit and Loss (P&L) statement in Business Builder, defining key metrics like revenue, cost, and gross margin.
This P&L model is shared with other teams, ensuring that everyone works with consistent data when creating SAC dashboards or Excel-based reports.
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5. Enabling KPI Tracking
What it Enables: Facilitates the definition of business-specific KPIs (Key Performance Indicators) directly in Business Builder.
Example:
A sales team wants to track the conversion rate of leads into sales.
They define this KPI in Business Builder using lead and sales data.
The KPI becomes available in visualization tools for real-time tracking via gauges or trend lines.
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6. Support for Real-Time Visualizations
What it Enables: Provides access to real-time data models, enabling dashboards to update dynamically with the latest information.
Example:
A logistics team uses Business Builder to model shipment status data (e.g., "in transit," "delayed," "delivered").
This data powers live dashboards in SAC, showing shipment performance across routes with pie charts and geospatial maps.
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7. Enabling Hierarchical Visualization
What it Enables: Models hierarchical structures like organizational charts, product hierarchies, or cost centers.
Example:
A financial analyst models a Cost Center hierarchy in Business Builder.
Dashboards in SAC display the hierarchy, allowing users to drill down from overall costs to specific cost centers.
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Conclusion
Business Builder in SAP Datasphere enables the business community to think visually by simplifying data modeling, enabling relationships, and providing semantic clarity. These capabilities translate into dashboards and reports that are:
Intuitive
Drillable
Consistent
Real-time
By doing so, it shifts the focus from data preparation to data-driven storytelling with powerful visual insights.
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