Sales Performance
with
SAP Business Data Cloud
Key Components of SAP BDC…
connect data from SAP and non-SAP systems. Whether in the cloud or on-premise, always in a unified, secure, and business-oriented data landscape.

Intelligent Applications

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SAP BW Modernization

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Planning/Analytics/AI

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Databricks

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Persona
Richard Running
Sales Manager Germany for Excellent Sport Shoes Gütersloh


Which KPIs and insights does Richard want to gain with the BDC?

Current and previous year's sales figures for the shoe assortment

Forecast for the next 6 months
Introduction to Sales Overview

Richard begins his analysis by comparing with the previous year, looking at the revenue comparison and other key figures.
YoY Comparison
  • Each tile represents a product
  • The tile size shows current revenue
  • The tile color shows the YoY change
Revenue Comparison
  • Revenue forecast from April to August and revenue from the previous year
  • Deviation in percent (red bars)
KPIs
  • YTD Sales Revenue
  • Weighted Rev. Pipeline Apr-Sep
  • Average Deal Size

Video Introduction 🎬

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Detailed Data View

In the dashboard, Richard sees tiles in different colors. When he looks at them in more detail, he gets data on revenue, YoY change, threshold, threshold name, and the range of that tile.
Tiles are colored red when the YoY change is >20%, gray when the YoY change = 20%, and green when it is <20%.
Red
  • Example: Shoe ProAero
  • Change from the previous year: decrease >20%
Grey
  • Example: Shoe MTBPro
  • Change from the previous year: decrease within 20%
Green
  • Example: Shoe Trekking
  • Change from the previous year: increase >20%

Video Detailed Data View 🎬

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Dimensions

By selecting a dimension in the dashboard, Richard can view the revenues per month for Product, Customer, Country, and Category.
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Drilldown

By drilling down into the shoe "ProAero," Richard can access further details.
Drilldown
  • By selecting a product, it can be viewed in more detail.
Details
  • The forecast for the shoe is below the average of the other products.
Revenue
  • The revenue comparison is based on the selected shoe.

Video Drilldown 🎬

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Recommendations

The SAP Business Data Cloud can generate recommendations based on historical data using the Databricks ML model. Richard Running receives the following recommendations:
ProAero Shoe
Improve sole quality



➡️ Could lead to a 15% reduction in returns over 6 months
Trekking Shoe
Continue with current marketing strategy


➡️ Campaign success = increased sales, YoY growth +20%
MTBPro Shoe
Minimal impact from promotions and increasing return rates; review marketing strategy

➡️ Potential for a 4% reduction in returns within six months
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Explanation

Through the more detailed explanation of the recommendations, Richard can more precisely review insights such as return rate trends and recommended actions. These are also generated by a machine learning model in BDC/Databricks.
The video demonstrates the possible approach:
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Simulation

With the simulation feature, Richard can generate value driver trees. These can, for example, simulate costs or revenues and are also based on a SAP Databricks model.
Simulation
Impact

Video Simulation Revenue 🎬

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Video Simulation Material Costs 🎬

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Summary
Why Databricks in the BDC?
Optimized
Data Integration
Seamless connection of SAP Datasphere and Databricks for
streamlined operations
Trusted AI
Applications
AI solutions based on SAP and non-SAP data for
accurate analyses
Diverse
Use Cases
Support for use cases across various
business departments
Examples of BDC-based Value Cases
Sales
Optimization of
Sales Performance
Finance

Optimization of
Business Performance
Service
Optimization of
Customer Satisfaction
Product Development
Optimization of
Development Costs
Marketing
Optimization of
Campaigns
Logistics

Optimization of
Logistics Processes
Solution Impacts
Optimization

Leverage Databricks to identify optimization potential
Recommendations

The Recommendation Engine provides various scenarios
Explanations

The recommendations include model explanations
Ready to optimize your Sales Performance with SAP BDC?
Contact our Experts
Andreas Nüchter
SAP CX Retail / Wholesale
Thomas Zachrau
SAP Business Data Cloud
Connect with Andreas
Connect with Thomas

Syskoplan Reply

KI-gestützte Entscheidungen mit der SAP Business Data Cloud | Syskoplan Reply

Erleben Sie das Potenzial künstlicher Intelligenz für kluge und zukunftssichere Geschäftsentscheidungen! Mit der SAP Business Data Cloud schaffen Sie eine sichere und effiziente Basis, um KI nahtlos in Ihre Business-Prozesse zu integrieren.