List of SAP Predictive Analytics Customers
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Since 2010, our global team of researchers has been studying SAP Predictive Analytics customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased SAP Predictive Analytics for Analytics and BI from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using SAP Predictive Analytics for Analytics and BI include: Cisco Systems, a United States based Professional Services organisation with 86200 employees and revenues of $61.50 billion, Mercy, a United States based Healthcare organisation with 45005 employees and revenues of $8.00 billion, Barmer GEK, a Germany based Insurance organisation with 16000 employees and revenues of $3.90 billion, Schnellecke, a Germany based Transportation organisation with 16400 employees and revenues of $1.24 billion and many others.
Contact us if you need a completed and verified list of companies using SAP Predictive Analytics, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the Analytics and BI software purchases.
The SAP Predictive Analytics customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of Analytics and BI software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Barmer GEK | Insurance | 16000 | $3.9B | Germany | SAP | SAP Predictive Analytics | Analytics and BI | 2019 | n/a |
In 2019 Barmer GEK implemented SAP Predictive Analytics to strengthen its Analytics and BI capabilities for insurer analytics. The deployment positioned SAP Predictive Analytics as a centralized tool for predictive modeling and model scoring across the organization, supporting actuarial and claims analytics workflows as well as customer segmentation use cases.
The implementation emphasized SAP Predictive Analytics modules for data preparation, automated model building, model management, and batch scoring, with configuration focused on repeatable model pipelines and a model repository for lifecycle control. The project contrasted SAP Predictive Analytics and R, noting that SAP Predictive Analytics delivers a visual, workflow oriented environment and automated feature engineering and deployment paths, while R remains a code first platform offering extensible statistical and custom modeling capabilities.
Governance was organized around an analytics center of excellence style operational model, with structured model validation, version control, and access controls to align business and technical stakeholders. The rollout prioritized embedding predictive scoring into existing underwriting and claims decisioning processes, and training both business analysts and data scientists on tool workflows to ensure operational adoption.
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Cisco Systems | Professional Services | 86200 | $61.5B | United States | SAP | SAP Predictive Analytics | Analytics and BI | 2017 | n/a |
In 2017, Cisco Systems deployed SAP Predictive Analytics as part of its Analytics and BI portfolio to surface revenue opportunities and personalize customer engagement. The SAP Predictive Analytics deployment focused on applying predictive modeling and automated scoring to sales and customer-facing processes within Cisco's professional services organization, aligning analytic outputs with account planning and opportunity qualification workflows.
Implementation work emphasized model development, production scoring, and customer segmentation pipelines, with model outputs operationalized into CRM workflows and sales orchestration processes to inform lead prioritization and personalized outreach. Cisco Systems used SAP Predictive Analytics to identify over a $1 billion of new business opportunities and to provide more personalized sales experiences for customers, with governance practices centered on model validation, scheduled retraining, and embedding analytic insights into sales process controls.
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Mercy | Healthcare | 45005 | $8.0B | United States | SAP | SAP Predictive Analytics | Analytics and BI | 2017 | n/a |
In 2017, Mercy implemented SAP Predictive Analytics to support innovations in resource scheduling. Mercy implemented SAP Lumira for visualization alongside SAP Predictive Analytics, establishing an Analytics and BI capability aligned with clinical operations and workforce planning.
The implementation combined SAP Predictive Analytics model development and automated scoring pipelines with SAP Lumira visualizations to operationalize predictive staffing signals. Key functional capabilities included model training and validation workflows, automated scoring for scheduling windows, and interactive dashboards to present forecasted demand and staffing recommendations to operational teams.
Operational scope centered on clinical operations and nurse staffing, embedding predictive outputs into scheduling workflows and shift planning processes. Governance elements emphasized model validation, data stewardship, and role-based dashboard access to ensure predictive insights were auditable and integrated into existing scheduling decision processes.
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Schnellecke | Transportation | 16400 | $1.2B | Germany | SAP | SAP Predictive Analytics | Analytics and BI | 2018 | n/a |
In 2018 Schnellecke implemented SAP Predictive Analytics as a core element of an Analytics and BI initiative to provide real-time visibility for Just-In-Sequence logistics. The initial deployment targeted Schnellecke Logistics operations in Wolfsburg, Germany and was scoped to instrument JIS delivery processes across the supply chain with plans to roll out to other customers and scenarios including road transport with the companys own truck fleet.
SAP Predictive Analytics was configured to deliver predictive models and real-time operational insight, feeding a Digital Operations Control Center for JIS Logistics that Schnellecke joined development on. Functional capabilities implemented include automated anomaly detection for JIS deliveries, predictive issue forecasting to reduce manual issue handling, and analytics-led cost and revenue attribution for JIS logistics business lines.
The implementation was integrated into a broader SAP landscape, aligned with a planned migration of the IT business system landscape to SAP S/4HANA and leveraging SAP Machine Learning and HANA Predictive Analytics capabilities for model execution and scoring. Data flows consolidated event and transactional inputs from on-site operations into the predictive layer to enable live scoring and orchestration with execution systems.
Governance and rollout emphasized joint development with SAP and operational adoption across management, operations, and partner workflows, enabling process optimization and automation. Explicit business outcomes recorded included novel real-time insights on JIS delivery, increased efficiency and stability through reduced manual handling, visibility to actual revenue and costs of JIS logistics, and a foundation for process and asset optimization as well as new SLA-based business models.
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Buyer Intent: Companies Evaluating SAP Predictive Analytics
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