Independent Advisory · SAP Analytics Cloud Planning

End-to-End SAP Analytics Cloud Planning Advisory

Independent consulting focused on the design, implementation, and optimization of SAP Analytics Cloud Planning across enterprise planning processes — from financial planning to integrated business planning.

Financial PlanningOperational PlanningDriver-Based PlanningForecastingScenario PlanningIntegrated Business Planning
Core Intellectual Property

The 7-Layer SAC Planning Architecture

01

Business Planning Architecture

Define planning strategy, corporate model, governance, and planning calendars.

02

Planning Data Architecture

Planning models, dimensions, hierarchies, version management, currency handling.

03

Data Integration Layer

S/4HANA integration, SAP Datasphere, flat file and API integrations, data quality.

04

Planning Model Design

Fact models, dimension models, star schema design, measure design, allocation logic.

05

Planning Logic Layer

Data actions, advanced formulas, allocation engines, driver-based planning, scenario modelling.

06

Planning Experience Layer

Planning stories, input forms, variance dashboards, workflow tasks, approval processes.

07

Planning Governance & Operations

Planning cycles, forecast cadence, access controls, auditability, performance optimization.

Planning Coverage

Enterprise Planning Domains

Financial Planning

12 use cases

Revenue planning, expense planning, headcount planning, cash forecasting, balance sheet planning.

Sales Planning

10 use cases

Sales quotas, pipeline forecasting, territory planning, sales incentives, demand forecasting.

Supply Chain Planning

11 use cases

Demand planning, inventory planning, procurement forecasting, production planning, capacity planning.

Enterprise Planning

17 use cases

Integrated business planning, strategic planning, scenario simulation, rolling forecasts, executive dashboards.

Design Philosophy
"SAC Planning should not replicate ERP complexity. It should enable focused, driver-based planning that supports faster decision making."
Core Principles
01
Minimal Data Models

Planning models should capture what is needed for decision making, not replicate every ERP dimension.

02
Driver-Based Planning

Build plans from business drivers — volume, rate, headcount — not from historical line items.

03
Clear Governance

Every planning model needs defined ownership, version control, and a documented change process.

04
Transparent Logic

Planning calculations should be readable by the business, not only by the technical team.

05
Continuous Forecasting

Replace annual budgeting cycles with rolling forecasts that reflect current business reality.

SAC Planning done right takes structured thinking.

Start with a planning maturity assessment to identify gaps in your current SAC Planning architecture and define a structured path forward.

Start with a Planning Assessment[email protected]

Independent advisory · No vendor affiliation