Darwin Analytics - Orchestration Platform & Marketplace for Agentic AI in CPM.

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Darwin Analytics is an
orchestration platform that
unifies and aligns people, process and technology.

What does Darwin orchestrate?

Technology Components

Partners

Pre-Built
Processes

Corporate Performance Management – These solutions manage planning, consolidation and management reporting tasks to include processes known as: EPM, CPM, xP&A and more. Many include AI functionality for their product only.Learn More

Business Intelligence – also known as Visualization, Dashboards and Reporting – these tools display data in intuitive formats to become actionable insights. Many include AI functionality for their product only.Learn More

Data Platforms - Known as Enterprise Data Warehouse (EDW), Data Lake, Data Fabrics, Data Marts…these tools are data repositories situated to feed analytics tools like EPM & BI to help data consumers spot trends and anomalies to take action to mitigate risks and exploit opportunities. Many of these tools also have Artificial Intelligence built in.Learn More

Content Developer – Darwin Marketplace Members that have developed prebuilt and proven content to accelerate time to value while lowering risk. Learn More

System Integrator – Darwin Marketplace Members that offer professional services expertise in technology, industry, business process with services offered in one or more geographic locations.

Value Added Reseller – Darwin Marketplace Members that guide customers in their selection of technology components, prebuilt content, and services to achieve their ultimate performance management solution. Customers can select from VARs across several demographics to find the right trusted advisor. Learn More

Financial processes – These processes are most often associated with EPM & CPM solution scope: Revenue, Margins, OpEx, CapEx, Cash Flow, and Consolidations. Learn More

Operational Processes – These processes focus on the go to market and products or services sold to customers. Subprocesses include: S&OP, Marketing, Supply Chain, Labor Productivity, Inventory, Logistics, Costs, and more. Learn More

Other Business Processes – The components that make up an analytics landscape aren’t limited to strictly finance and operations, other solutions for customer satisfaction, ESG, Tax, and other processes that affect enterprise performance can be met with the same components used elsewhere.

Thought Leadership

Our thought leadership content is available here.

The Risks of Embracing a Cloud EPM Platform in the Age of Agentic AI

Darwin Analytics vs. SAP BDC, Salesforce Agentforce, and ServiceNow Agent Platform: A Comprehensive Comparison of Agentic Orchestration Approaches

SAP Business Data Cloud: A Bold Step Forward with Room for Caution—and Why Darwin Analytics Shines as a Flexible Alternative

Top 5 Benefits: Orchestration Essential for Agentic AI

FP&A VP

Global Financial Services Company

"The purchase process worked much better for us. We were able to see exactly what we were getting as opposed to going through page after page of requirements we were expected to agree to when we haven't really worked with the product yet. Darwin was much easier to buy with confidence that the solution would fully meet our needs."

CFO

Global Financial Services Company

"Darwin has exceeded our expectations, and our users are now excited to be engaged in the EPM process. A big change from our prior EPM experiences."

CTO

Global Sporting Goods Company

"Darwin's interface was much more pleasing to our users, it doesn't look like a crude Excel experience, but more of an application."

FP&A VP

Global Financial Services Company

"The purchase process worked much better for us. We were able to see exactly what we were getting as opposed to going through page after page of requirements we were expected to agree to when we haven't really worked with the product yet. Darwin was much easier to buy with confidence that the solution would fully meet our needs."

CFO

Global Financial Services Company

"Darwin has exceeded our expectations, and our users are now excited to be engaged in the EPM process. A big change from our prior EPM experiences."

CTO

Global Sporting Goods Company

"Darwin's interface was much more pleasing to our users, it doesn't look like a crude Excel experience, but more of an application."

FP&A VP

Global Financial Services Company

"The purchase process worked much better for us. We were able to see exactly what we were getting as opposed to going through page after page of requirements we were expected to agree to when we haven't really worked with the product yet. Darwin was much easier to buy with confidence that the solution would fully meet our needs."

Darwin Analytics is an orchestration platform that integrates ERP, EPM, BI, and data warehouse solutions to create a unified and scalable data ecosystem, powered by Agentic AI.

It’s designed for finance, IT, and operations professionals in large organizations that require enterprise-wide planning, reporting, and analytics integration.

Improved data integration without replication, faster decision-making, enhanced collaboration across stakeholders, and a future-ready architecture adaptable to evolving AI technologies.

Darwin uses a canonical data model to harmonize data flows across platforms like SAP BPC, SAC, Tableau, Power BI, and Snowflake without the need for replication or heavy custom coding.

Yes, it supports real-time data integration, enabling organizations to respond dynamically to market and operational changes.

o Agentic AI automates processes like data mapping, forecasting, and predictive analytics while also enabling advanced scenario planning and decision-making.

It’s vendor-agnostic, meaning it integrates and orchestrates tools from multiple vendors without requiring organizations to standardize on a single platform.

Absolutely. The platform is designed to scale seamlessly with increasing data volume and complexity while maintaining performance.

By centralizing data from various sources, automating workflows, and leveraging AI-driven predictive analytics, it enhances accuracy and efficiency.

Yes, it supports KPI-driven, driver-based planning that allows for dynamic and flexible forecasting processes.

Yes, the platform facilitates real-time reporting and ensures data consistency, which is critical for meeting regulatory requirements.

Darwin Analytics primarily operates as a cloud-based solution but can adapt to hybrid or on-premises environments depending on organizational needs.

Implementation timelines vary but can be accelerated with pre-built content and configurations available through the Darwin Marketplace.

Darwin offers comprehensive training, consulting services, and access to its marketplace ecosystem, which includes pre-built solutions and certified integration partners.

It integrates seamlessly with existing systems and allows for incremental adoption, reducing disruption during the transition process.

By leveraging a modular architecture and prioritizing integration with cutting-edge technologies like Agentic AI and real-time data fabrics.

Unlike standalone applications, Darwin serves as an orchestration platform that harmonizes multiple tools, eliminating the need for data replication and enabling comprehensive integration.

Yes, it supports both off-the-shelf solutions and custom configurations, ensuring flexibility for various business requirements.

The platform complies with enterprise-grade security standards, offering robust encryption, role-based access controls, and adherence to regulatory frameworks like GDPR and SOC 2.

It centralizes governance for data, workflows, and business rules, ensuring consistency and compliance across the organization.

Darwin Analytics offers seamless integration with EPM platforms such as SAP Analytics Cloud (SAC) and SAP BPC, ensuring robust financial planning, budgeting, and forecasting capabilities.

Yes, Darwin provides native connectors for tools like SAP Analytics Cloud (SAC), Microsoft Power BI, Tableau, and Qlik, enabling organizations to visualize and analyze data efficiently within their preferred environments.

Darwin integrates natively with leading platforms such as SAP HANA, SAP Datasphere, Snowflake, and Google BigQuery, ensuring flexibility in handling diverse data sources without replication.

Darwin offers direct connectors to SAP applications, Workday, Oracle, and other enterprise systems, streamlining data integration and reducing the need for manual intervention in workflows.

Absolutely. Darwin's orchestration platform harmonizes data across diverse systems—including EPM, BI, and data warehouses—providing organizations with a centralized and consistent data model for real-time decision-making.

Yes, Darwin Analytics fully supports real-time data streaming. This capability ensures that organizations receive up-to-the-minute insights by continuously ingesting and processing data from multiple sources. It allows for immediate updates to forecasts, reports, and analytics, enabling proactive decision-making in fast-changing environments.

No, Darwin Analytics eliminates the need for data replication. By leveraging a canonical data model, the platform integrates data directly from source systems, ensuring consistency and accuracy while minimizing storage costs and redundancy. This approach streamlines operations and reduces the complexities associated with maintaining multiple copies of data.

Darwin Analytics is designed to work seamlessly with all major hyperscalers, ensuring flexibility and scalability for organizations. Compatible hyperscalers include: · Microsoft Azure · Amazon Web Services (AWS) · Google Cloud Platform (GCP) · SAP Business Technology Platform (BTP) and any hyperscaler compatible with SAP RISE This compatibility allows organizations to leverage their existing cloud infrastructure while integrating Darwin Analytics for enterprise planning, reporting, and analytics. The platform’s cloud-agnostic approach ensures optimal performance and adaptability, regardless of the chosen hyperscaler.

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Darwin partners are a network of highly effective teams offering products and services to make AI-centric analytics a reality

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