Budgeting Planning & Forecasting

Tagetik 3.0 delivers shorter planning cycle times with less manual efforts, more proactive budgeting processes, quick and easy recreation of forecasts and significant improvement of governance by keeping an audit trail of business assumptions.

Thanks to the unification of the aggregated, corporate financial budget and operational business plans in one single solution, Tagetik 3.0 supports a strategic, collaborative, timely and cost saving budgeting, planning and forecasting process with a low Total Cost of Ownership (TCO).

To support the Budgeting, Planning & Forecasting process Tagetik 3.0 delivers:

• Modeling: define different models including a driver-based approach to planning also using sophisticated MDX based scripting rules

• Scenarios: define different data management scenario (budget, forecast, 3-year plan, …)

• Data collection: gather financial and non financial data through data sheets available via web with browser or Excel interface

• Workflow: manage the collection process with different approval levels

• ‘What-if’ analysis: produce alternative analysis scenarios based on simulation and splashing functionalities with several different sets of values and the possibility to write on the results

• Allocations: efficient processing of budget allocation entries

• Cash flow modeling:

• Automatic creation of Cash Flow & Balance Sheet statement perfectly matched with the P&L through the use of financial rules such as credit terms (DSO/DPO), tickler, …

• Manage intercompany/inter business, VAT, cash–pooling flows and devaluation of Financial Investments

• Forecasting: define forecasting models using a deterministic approach at different levels of aggregation

• IC matching: intercompany gathering and reconciliation during the budgeting process

• Consolidation of budget data

Learn more!

• Find out the Tagetik 3.0 benefits
• Watch the Tagetik 3.0 demo
  
• Hear what customers have to say about Tagetik 
  
• Learn more in informative white paper
  
• Read customer case studies