IBM Planning Analytics Financial Forecasting Training Course

Course overview

Finance teams are expected to produce rolling forecasts quickly, explain changing assumptions, and reconcile operational drivers with P&L, balance sheet and cash-flow outcomes. Yet many forecasting cycles still rely on uncontrolled spreadsheets, manual version consolidation and models that cannot show who changed an assumption or why. This IBM Planning Analytics Financial Forecasting Training Course equips finance professionals to build and manage governed, driver-based forecasting processes in IBM Planning Analytics, reducing cycle time while improving traceability and confidence in management reporting.

Over five days, participants work with IBM Planning Analytics TM1, Planning Analytics Workspace and Planning Analytics for Excel to design multidimensional financial models, load and validate actuals, create forecast versions, define business rules, and distribute input templates to budget holders. The course covers time dimensions, hierarchies, cubes, dimensions, TurboIntegrator processes, rules, feeders, security, workflow and dashboard reporting. Participants learn to translate revenue, headcount, cost, working-capital and capital-expenditure assumptions into integrated financial forecasts, perform scenario analysis, and explain forecast variance using controlled data.

Teaching combines instructor demonstrations with structured model-building labs based on a realistic corporate forecasting case. Participants configure a forecast model, develop calculations and input controls, automate a data load, build dashboards and produce management-ready forecast outputs. They leave with a documented IBM Planning Analytics forecasting model blueprint, including dimensional design, driver assumptions, workflow roles, reporting requirements and a practical implementation plan for their own finance environment. A certificate is issued on completion.

The course is designed for finance professionals and Planning Analytics users who already understand core budgeting and forecasting concepts and now need to build, improve or govern enterprise forecasting models. It is equally valuable to managers responsible for replacing spreadsheet-led forecasting processes with a scalable, auditable planning platform.

Course objectives

By the end of this course, participants will be able to:

• Design a TM1 dimensional model for revenue, operating expense, headcount, balance-sheet and cash-flow forecasting
• Configure cubes, hierarchies and consolidations that support monthly rolling forecasts and management reporting
• Build driver-based forecast calculations using TM1 rules, feeders and assumption cubes
• Create TurboIntegrator processes to load actuals, master data and forecast drivers from controlled source files
• Develop Planning Analytics Workspace input forms, visualisations and dashboards for budget-holder review
• Set up forecast versions, scenarios, workflow responsibilities and security controls for a governed planning cycle
• Analyse forecast-versus-actual variance through drill-down, contribution analysis and scenario comparison
• Produce a documented financial forecasting model blueprint and implementation action plan

Benefits of attending

Target competencies

Who should attend

• FP&A Managers — who need faster, controlled rolling forecasts and clearer accountability for assumptions
• Financial Planning and Analysis Analysts — who build forecast models, analyse variance and prepare management packs
• Finance Systems Managers — who administer planning platforms and must align model design with finance requirements
• Management Accountants — who consolidate budgets, forecasts and actuals across cost centres and business units
• IBM Planning Analytics Developers — who need stronger finance-model design and forecasting process knowledge
• Finance Transformation Leads — who are replacing spreadsheet-led planning with governed enterprise workflows

Requirements and prerequisites

Participants should have practical experience with budgeting, forecasting, management reporting or financial analysis, including familiarity with P&L, balance sheet, cash flow, variance analysis and common forecast drivers. They should be comfortable using Excel formulas, pivot-style analysis and structured source data. Prior exposure to IBM Planning Analytics, TM1 cubes or Planning Analytics Workspace is helpful but not mandatory; attendees will receive guided practice with the platform. Programming experience, advanced SQL, TM1 rule-writing expertise and prior TurboIntegrator development are not required, although participants should be prepared to work with model configuration and calculation logic.

Training methodology

An instructor leads short technical briefings followed by hands-on labs in an IBM Planning Analytics training environment. Each day extends a single corporate planning case: participants model financial dimensions, load actuals, create driver calculations, collect forecast inputs and present management scenarios. Working in pairs and small groups, they review design choices such as account hierarchies, calculation performance, security roles and reporting layouts. The final session is an application workshop in which each participant adapts the case design into a prioritised forecasting-model plan for their organisation.

Course outline

Day 1: Financial forecasting model architecture

• IBM Planning Analytics architecture and the TM1 multidimensional model
• Financial planning requirements for P&L, balance sheet and cash-flow integration
• Dimension design for accounts, entities, cost centres, products, scenarios and time
• Element attributes, aliases and financial reporting hierarchies
• Cube design and sparse-data considerations for forecast models
• Monthly rolling forecast calendars and version-management structures
• Planning Analytics Workspace navigation, books, views and explorations

Workshop: Build the dimensional blueprint and initial cubes for a multi-entity finance forecast, producing a documented model design.

Day 2: Data integration and financial model calculations

• Actuals, master-data and driver-data loading patterns
• TurboIntegrator process structure, data sources and variables
• Data validation, reject handling and load reconciliation controls
• TM1 rules for revenue, payroll, operating-cost and depreciation calculations
• Feeders and calculation-performance considerations
• Currency conversion and intercompany forecast assumptions
• Sandboxing, versions and scenario data-management methods

Workshop: Create a TurboIntegrator actuals load and rule-driven forecast calculations, producing a reconciled forecast-versus-actual cube.

Day 3: Driver-based forecasting and planning workflow

• Revenue forecasting with volume, price, mix and conversion drivers
• Headcount planning with FTE, salary, vacancy and bonus assumptions
• Operating-expenditure forecasting by fixed, variable and discretionary cost drivers
• Working-capital forecasting for receivables, inventory and payables
• Capital-expenditure planning and depreciation schedules
• Planning Analytics Workspace input forms and guided planning views
• Workflow ownership, submission status and budget-holder accountability

Workshop: Configure a departmental input process for headcount and operating costs, producing a driver-based rolling forecast submission.

Day 4: Analysis, reporting and governance

• Planning Analytics Workspace dashboards for finance leadership
• Explorations, drill-through and dimensional variance analysis
• Forecast-versus-budget, forecast-versus-actual and prior-forecast comparisons
• Contribution analysis for material revenue and cost movements
• What-if scenario modelling and sensitivity analysis
• Planning Analytics for Excel reporting and controlled report distribution
• Security groups, cell security and audit-oriented access design

Workshop: Build an executive forecast dashboard and variance pack, producing scenario comparisons with drill-down commentary.

Day 5: Forecast cycle implementation and optimisation

• End-to-end forecast-cycle design from actuals close to management review
• Model performance tuning through feeders, rules and view optimisation
• Forecast controls, reconciliation checks and exception reporting
• Testing strategy for calculations, integrations, security and user acceptance
• Deployment planning for Planning Analytics Workspace books and Excel reports
• Model documentation for dimensions, rules, processes and business ownership
• Finance forecasting implementation roadmap and operating-model decisions

Workshop: Complete a capstone forecast-cycle workshop, producing a documented IBM Planning Analytics forecasting model blueprint and 90-day implementation plan.

Tools & standards covered

IBM Planning Analytics TM1, IBM Planning Analytics Workspace, IBM Planning Analytics for Excel, Microsoft Excel

A typical training day

Live online deliveries follow the same structure in the East Africa Time zone, with shorter screen blocks and longer breaks.

What the fee includes

How you can take this course

Certification

Participants who complete the full five days receive the Skillset Development Certificate of Completion, stating the course title, course code, dates and delivery format — suitable for professional-development records and employer reimbursement.

Frequently asked questions