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SAP Enterprise Data & Analytics

SAP Business Data Cloud Consulting

Build a Trusted Enterprise Intelligence Foundation for Analytics, Planning, and AI

Concinnity helps organizations connect SAP and non-SAP data, preserve business context, modernize analytics, enable governed data products, and prepare the enterprise for planning and artificial intelligence.

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SAP S/4HANA

SAP SuccessFactors

SAP Ariba

SAP IBP

CRM & Non-SAP

External Data

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SAP Business Data CloudBusiness Context • Governance • Data Products • Semantics

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Analytics

Planning

Decision Intelligence

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Trusted Decisions • Faster Response • Business Performance

Concinnity Point of View

Enterprise intelligence is not achieved by implementing another data platform. It is achieved by connecting trusted business data, governance, analytics, planning, AI, and executive decision-making into one coherent operating model.

At a glance

Is SAP Business Data Cloud relevant to your organization?

Best forOrganizations modernizing enterprise analytics and data

SupportsSAP and non-SAP landscapes

Business focusAnalytics, planning, governance, and AI

StakeholdersCIO, CFO, CDO, Enterprise Architect, Analytics Leader

Typical outcomesTrusted data, faster decisions, AI readiness

Consulting focusStrategy, architecture, delivery, adoption, optimization

Executive questions we help answer

Move from platform uncertainty to a practical enterprise roadmap

How should we modernize SAP BW while protecting critical business logic?

How can we connect SAP and non-SAP data without losing business context?

Which governed data products should we prioritize first?

How do we create one trusted foundation for analytics and planning?

How should SAP Business Data Cloud coexist with Microsoft, Databricks, or Snowflake?

How do we prepare enterprise data for AI and agentic use cases?

How can we reduce reporting complexity and duplicate data movement?

How do we measure business value and adoption after implementation?

Business challenges

Common barriers to trusted enterprise intelligence

Fragmented Enterprise Data

Critical information remains distributed across SAP, non-SAP, cloud, and operational systems.

Multiple Versions of Truth

Inconsistent definitions, metrics, and semantic models reduce confidence in executive reporting.

Legacy SAP BW Complexity

Years of accumulated logic and dependencies make modernization difficult and risky.

Slow Reporting Cycles

Manual reconciliation, extraction, and transformation delay insight and action.

Disconnected Planning

Financial and operational planning often rely on separate data and inconsistent assumptions.

Integration Overhead

Point-to-point interfaces and duplicated pipelines increase cost and maintenance effort.

Weak Governance

Ownership, quality, access controls, lineage, and metadata are not consistently managed.

AI Without Trusted Context

AI initiatives struggle when enterprise data lacks quality, semantics, governance, and business meaning.

Solution overview

What SAP Business Data Cloud means for business leaders

SAP Business Data Cloud provides a managed foundation for connecting, governing, and using enterprise data across analytics, planning, and AI. Its value lies not simply in consolidating data, but in preserving the business context that makes information understandable and actionable.

Concinnity helps clients turn that platform capability into an operating model built around trusted data products, governed semantics, executive KPIs, planning processes, and AI-ready information.

Trusted Business ContextPreserve definitions, hierarchies, relationships, and semantics.

Governed Data ProductsCreate reusable, owned, quality-controlled information assets.

Connected Analytics & PlanningSupport insight, forecasting, scenarios, and decisions from one foundation.

AI-Ready Enterprise DataPrepare contextual and governed data for predictive and generative AI.

Concinnity Enterprise Intelligence mapping

Where SAP Business Data Cloud fits into the transformation journey

01Business StrategyOutcomes, priorities, stakeholders

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02Data HarmonyIntegration, quality, governance, semantics

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03SAP Business Data CloudTrusted data products and business context

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04Enterprise IntelligenceAnalytics, planning, AI, decisions

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05Business PerformanceGrowth, efficiency, resilience, value

Concinnity delivery approach

A practical six-phase roadmap from strategy to value

Discover

Clarify business priorities, stakeholder needs, and target outcomes.

Output: vision and value hypothesis

Assess

Evaluate SAP, non-SAP, BW, analytics, planning, governance, and maturity.

Output: current-state assessment

Architect

Design the target architecture, data products, governance, and migration path.

Output: roadmap and architecture

Build

Implement integrations, models, data products, analytics, planning, and controls.

Output: production capabilities

Enable

Drive adoption, operating-model alignment, training, and decision-process integration.

Output: operational adoption

Optimize

Measure value, improve performance, expand use cases, and prepare for AI.

Output: continuous improvement

Reference architecture

A connected enterprise architecture for data, analytics, planning, and AI

Enterprise Data Sources

SAP S/4HANASAP SuccessFactorsSAP AribaSAP IBPSAP CXCRMMES & IoTExternal Data

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SAP Business Data Cloud

Business Data FabricGoverned Data ProductsSemantic ModelsKnowledge & ContextGovernanceData Sharing

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Consumption & Decision Layer

SAP Analytics CloudPlanningExecutive DashboardsMachine LearningGenerative AIOperational Analytics

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Business Outcomes

Trusted KPIsFaster ReportingBetter PlanningAI ReadinessLower ComplexityImproved Decisions

Core capabilities

Capabilities that turn data into enterprise intelligence

Business Data Fabric

Connect distributed enterprise data while preserving context and reducing unnecessary duplication.

Governed Data Products

Create reusable, owned, quality-controlled information assets aligned to business domains.

Semantic Modeling

Standardize measures, dimensions, hierarchies, and business definitions.

SAP BW Modernization

Modernize legacy BW environments while protecting critical logic and investments.

Analytics & Dashboards

Enable trusted executive, operational, and self-service analytics.

Enterprise Planning

Connect financial and operational planning through shared business context and scenarios.

AI Foundation

Prepare governed, contextual enterprise data for predictive, generative, and agentic AI.

Governance & Operating Model

Establish ownership, standards, controls, stewardship, adoption, and value realization.

Business value

Measure the impact across growth, efficiency, risk, and intelligence

Growth

Faster Innovation

Accelerate new analytics, planning, customer, and AI use cases.

Efficiency

Lower Complexity

Reduce duplicated pipelines, manual reconciliation, and reporting effort.

Risk

Stronger Governance

Improve data quality, ownership, lineage, access, and regulatory confidence.

Intelligence

Better Decisions

Provide leaders with trusted KPIs, scenarios, predictions, and recommendations.

Technology ecosystem

Designed for SAP-centered and hybrid enterprise landscapes

SAP Applications

SAP S/4HANASAP SuccessFactorsSAP AribaSAP IBPSAP CX

SAP Data & Analytics

SAP Business Data CloudSAP DatasphereSAP Analytics CloudSAP BW/4HANASAP BTP

Cloud Data Platforms

Microsoft FabricDatabricksSnowflakeAzureAWS

AI & Consumption

Power BIMachine LearningGenerative AIExecutive DashboardsOperational Applications

Illustrative engagement

Modernizing enterprise analytics around trusted business data

Global Enterprise

Establishing a governed data-product foundation across SAP and non-SAP systems

Challenge

Executive reporting relied on multiple SAP BW environments, duplicated data pipelines, inconsistent definitions, and disconnected planning processes.

Approach

Defined the target architecture, prioritized high-value data products, modernized semantic models, integrated SAP and non-SAP data, and enabled analytics and planning.

Business Impact

Improved trust in KPIs, faster reporting, reduced reconciliation effort, stronger governance, better planning, and an AI-ready enterprise data foundation.

Related frameworks

Connect the platform to a broader transformation methodology

Industry applications

Apply SAP Business Data Cloud across your operating environment

Hybrid platform option

Explore Microsoft Fabric for SAP and enterprise analytics

Business solution

Connect this platform to Enterprise Intelligence

SAP Business Data Cloud Assessment

Ready to build a trusted enterprise intelligence foundation?

Concinnity can help assess your current landscape, define priority business outcomes, and create a practical roadmap for SAP Business Data Cloud, analytics, planning, and AI.

Schedule an Executive Assessment