Fragmented Reporting
Executives rely on multiple dashboards, spreadsheets, and inconsistent reporting processes.
Part of the Concinnity Enterprise Intelligence PlatformSAP Enterprise Data & Analytics › SAP Analytics Cloud
SAP Enterprise Data & Analytics
SAP Analytics Cloud Consulting
Connect Analytics, Planning, Forecasting, and Executive Decision-Making
Concinnity helps organizations use SAP Analytics Cloud to unify business intelligence, enterprise planning, predictive insight, collaboration, and executive performance management on trusted enterprise data.
SAP Business Data Cloud
SAP Datasphere
SAP S/4HANA
SAP BW
Non-SAP Data
Planning Inputs
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SAP Analytics Cloud
Analytics • Planning • Predictive • Collaboration • AI Assistance
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Dashboards
Scenarios
Forecasts
Decisions
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Performance Visibility • Alignment • Faster Action
Concinnity Point of View
Analytics creates value only when insight is connected to planning, accountability, and action. SAP Analytics Cloud can provide that connection by bringing business intelligence, enterprise planning, predictive capabilities, and collaboration into one governed decision environment.
At a glance
A unified environment for analytics, enterprise planning, and predictive insight
Best forOrganizations connecting analytics, planning, and performance management
Business focusExecutive visibility, forecasting, scenarios, and accountability
StakeholdersCFO, CIO, FP&A, Business Leaders, Analytics and Planning Teams
Technology landscapeSAP-centered and hybrid enterprise environments
Typical outcomesTrusted dashboards, faster planning, improved forecasts, aligned decisions
Consulting focusStrategy, design, implementation, adoption, governance, optimization
Executive questions we help answer
Turn performance information into coordinated enterprise action
01
How can we create one trusted executive view of business performance?
02
How should analytics and planning work together across finance and operations?
03
Which KPIs should leaders use to drive accountability and action?
04
How do we shorten budgeting, forecasting, and reporting cycles?
05
How can predictive capabilities improve forecasts and scenarios?
06
How should SAP Analytics Cloud connect to Business Data Cloud and Datasphere?
07
How do we balance governed enterprise analytics with self-service access?
08
How can AI-assisted analytics improve user productivity and decision speed?
Business challenges
Common barriers to connected analytics and planning
Disconnected Planning
Financial, sales, workforce, supply, and capital plans use separate assumptions and models.
Slow Forecasting
Manual data preparation and consolidation delay forecasts and scenario updates.
Inconsistent KPIs
Different definitions and hierarchies reduce trust in enterprise performance reporting.
Limited Predictive Insight
Planning remains backward-looking and dependent on manually developed assumptions.
Weak Collaboration
Planning tasks, commentary, approvals, and accountability are difficult to coordinate.
Low User Adoption
Complex interfaces and poorly designed dashboards discourage consistent business use.
Insight Without Action
Analytics is not sufficiently connected to planning, decisions, workflows, and value realization.
Solution overview
What SAP Analytics Cloud means for business leaders
SAP Analytics Cloud is a cloud solution that combines business intelligence, enterprise planning, and predictive analytics in one secure experience. It can support executive reporting, operational analysis, budgeting, forecasting, scenario modeling, collaboration, and AI-assisted insight.
Concinnity helps organizations design SAP Analytics Cloud around business decisions—not just reports—by aligning KPIs, planning models, user experiences, workflows, governance, and trusted enterprise data.
Unified AnalyticsConnect executive, financial, operational, and self-service analysis.
Enterprise PlanningLink budgets, forecasts, scenarios, allocations, and operational drivers.
Predictive InsightUse forecasting and machine-assisted analysis to improve foresight.
Collaborative DecisionsCoordinate tasks, commentary, workflows, approvals, and accountability.
Technology positioning
Where SAP Analytics Cloud delivers the greatest value
CapabilityRole in the SolutionStrategic Value
Business IntelligenceCore
Deliver governed dashboards, stories, analysis, and enterprise reporting.
Enterprise PlanningCore
Support budgeting, forecasting, scenarios, allocations, and collaborative planning.
Predictive AnalyticsStrong Fit
Improve forecasts and analytical insight through predictive capabilities.
Executive Performance ManagementStrong Fit
Connect KPIs, targets, commentary, scenarios, and business accountability.
Financial Planning & AnalysisStrong Fit
Align financial plans with operational drivers and business assumptions.
Self-Service AnalyticsSupports
Enable guided exploration while maintaining governance and trusted definitions.
AI-Assisted AnalyticsEnables
Use natural-language and AI-assisted features to improve insight accessibility and productivity.
Platform relationship
How SAP Analytics Cloud fits with Datasphere and Business Data Cloud
Enterprise Applications & DataSAP S/4HANA • SAP BW • Non-SAP Systems • Operational Data
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SAP DatasphereIntegration • Semantic Modeling • Governance • Custom Data Products
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SAP Business Data CloudTrusted Data Foundation • Managed Data Products • Enterprise Context
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SAP Analytics CloudAnalytics • Planning • Predictive Insight • Collaboration • AI Assistance
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Enterprise Decisions & Business PerformanceVisibility • Alignment • Forecasting • Action • Value
Why this matters
SAP Analytics Cloud becomes more powerful when it consumes governed, contextual enterprise data and connects insight directly to planning, forecasting, and decision workflows.
Analytics and planning architecture
A connected architecture from trusted data to executive action
Enterprise Data & Business Applications
SAP S/4HANASAP BWSAP SuccessFactorsSAP IBPCRMOperational SystemsExternal Data
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Trusted Data Foundation
SAP Business Data CloudSAP DatasphereSemantic ModelsGoverned KPIsPlanning Dimensions
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SAP Analytics Cloud
Executive DashboardsBusiness IntelligenceEnterprise PlanningPredictive AnalyticsCollaborationAI-Assisted Insight
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Decisions & Business Outcomes
Performance VisibilityFaster ForecastsScenario DecisionsAccountabilityBusiness Alignment
Executive dashboards and KPI management
Design dashboards around decisions—not around available data
01
Executive Relevance
Prioritize the measures, drivers, risks, and decisions leaders actively manage.
02
Trusted Definitions
Establish consistent KPI ownership, calculations, hierarchies, and thresholds.
03
Actionable Context
Connect trends, variance, drivers, commentary, forecasts, and recommended actions.
04
Role-Based Experience
Design focused experiences for executives, finance, operations, and business teams.
Revenue Growth+9.8%Against prior year
Operating Margin18.4%1.2 points above plan
Forecast Accuracy93.1%Rolling forecast
Working Capital-6.7%Improvement versus baseline
Workforce Cost+1.9%Against current plan
Strategic Initiatives84%On-track delivery
Illustrative metrics are shown for visual-design purposes. Final dashboards are tailored to the organization's strategy, KPI framework, and decision processes.
Integrated enterprise planning
Connect financial plans to the operational drivers that create performance
Concinnity helps design planning models that connect finance with revenue, workforce, supply, capital, and operational assumptions. The objective is not simply to automate spreadsheets, but to create a coordinated planning and decision process.
Financial PlanningP&L • Balance Sheet • Cash Flow
Revenue PlanningVolume • Price • Pipeline • Mix
Workforce PlanningHeadcount • Skills • Compensation • Capacity
Supply & OperationsDemand • Inventory • Production • Service
Capital PlanningInvestments • Projects • Assets • Returns
Integrated Scenarios & Enterprise ForecastShared assumptions • Driver-based models • Collaborative decisions
Predictive forecasting and scenarios
Improve foresight without removing business judgment
01Historical PerformanceActuals, drivers, patterns, and events
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02Predictive ForecastTrend, seasonality, and expected outcomes
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03Business AdjustmentsKnown events, management assumptions, and judgment
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04Scenario ComparisonBase, upside, downside, and strategic alternatives
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05Decision & ActionResource allocation, targets, and response
Planning readiness checklist
Is your organization ready for an SAP Analytics Cloud initiative?
✓
Executive reporting relies on multiple disconnected tools or spreadsheets.
✓
Budgeting and forecasting cycles are slow, manual, or difficult to update.
✓
Financial and operational plans use inconsistent assumptions or dimensions.
✓
Leaders lack timely visibility into drivers, variance, risk, and future scenarios.
✓
Users spend too much time preparing data instead of analyzing performance.
✓
Collaboration, commentary, approvals, and accountability are difficult to track.
✓
We want to introduce predictive forecasting or AI-assisted analytics.
✓
We need a scalable KPI, dashboard, and planning governance model.
Several items apply?
A structured analytics and planning assessment can clarify priorities, architecture, governance, delivery sequencing, and expected business value.
Concinnity delivery approach
A practical six-phase roadmap from business priorities to adoption
01
Discover
Clarify decisions, stakeholders, KPIs, planning needs, and business outcomes.
Output: vision and priority use cases02
Assess
Evaluate data, reporting, planning, models, processes, governance, and maturity.
Output: current-state assessment03
Architect
Design target architecture, KPI model, planning approach, security, and roadmap.
Output: solution blueprint04
Build
Implement models, dashboards, stories, planning workflows, forecasts, and controls.
Output: production capabilities05
Enable
Drive training, adoption, process alignment, ownership, and decision integration.
Output: operational adoption06
Optimize
Improve usability, performance, forecast quality, governance, and value realization.
Output: continuous improvementCore capabilities
Connect insight, planning, forecasting, and performance management
Executive Analytics
Deliver role-based dashboards and stories focused on strategic performance and action.
Business Intelligence
Enable governed reporting, analysis, exploration, visualization, and self-service insight.
Enterprise Planning
Support budgets, forecasts, scenarios, versions, allocations, and collaborative planning.
Predictive Forecasting
Use predictive capabilities to improve foresight and accelerate forecast development.
KPI Management
Establish trusted definitions, ownership, targets, thresholds, commentary, and accountability.
Scenario Modeling
Compare assumptions, risks, investments, and strategic alternatives before committing resources.
Collaboration & Workflow
Coordinate planning tasks, calendars, discussions, approvals, and business responsibilities.
AI-Assisted Analytics
Improve access to insight through natural-language, automated analysis, and assisted workflows.
Business value
Measure the impact across growth, efficiency, risk, and intelligence
Growth
Improve Resource Allocation
Direct investment, capacity, and attention toward the strongest opportunities.
Efficiency
Shorten Reporting and Planning Cycles
Reduce manual consolidation, spreadsheet dependency, and repeated data preparation.
Risk
Strengthen Forecasting and Control
Improve scenario visibility, KPI governance, accountability, and decision confidence.
Intelligence
Connect Insight to Action
Bring analytics, planning, predictive insight, and collaboration into one decision process.
Technology ecosystem
Designed for SAP-centered and hybrid analytics landscapes
SAP Data Foundation
SAP Business Data CloudSAP DatasphereSAP BW/4HANASAP HANA CloudSAP S/4HANASAP Analytics & Planning
SAP Analytics CloudBusiness IntelligenceEnterprise PlanningPredictive AnalyticsAI-Assisted FeaturesEnterprise Applications
SAP SuccessFactorsSAP AribaSAP IBPSAP CXNon-SAP SystemsHybrid Ecosystem
Microsoft FabricPower BIDatabricksSnowflakeCloud PlatformsIllustrative engagement
Connecting executive reporting, forecasting, and enterprise planning
Global Enterprise
Creating a unified performance-management environment across finance and operations
Challenge
Executive reporting, budgets, forecasts, and operational plans were maintained across disconnected tools, spreadsheets, and inconsistent KPI definitions.
Approach
Standardized the KPI framework, designed integrated planning models, implemented executive dashboards, introduced scenarios, and aligned governance and adoption.
Business Impact
Faster reporting and forecasts, improved planning alignment, stronger accountability, better scenario visibility, and more confident executive decisions.
Industry applications
Apply analytics and planning across your operating environment
Related frameworks
Connect SAP Analytics Cloud to a broader enterprise methodology
Recommended next reading
Continue exploring the Concinnity Solutions Platform
Hybrid platform option
Explore Microsoft Fabric for SAP and enterprise analytics
Business solution
Connect this platform to Enterprise Intelligence
SAP Analytics Cloud Assessment
Ready to connect analytics, planning, and executive decision-making?
Concinnity can help assess your current reporting and planning environment, define priority use cases, and create a practical SAP Analytics Cloud roadmap.
Schedule an SAC Strategy Session