Stay ahead of the curve by knowing what drives profitable growth. CCH Tagetik Profitability Analysis is powered by the Analytic Information Hub. It enables you to explore profitability down to the most granular level. With financial and operational data centralized and best-in-class data exploration tools, you can drill into data across unlimited dimensions to see how operational costs impact profitability in real-time.
To get a deep understanding of the variables that impact profitability, our comprehensive solution facilitates detailed driver-based and activity-based costing with what-if scenario analysis. You’ll always know which products, customers or business units have the highest margins or require cost improvement measures. Make more informed data-based decisions with CCH Tagetik.
3 reasons why CCH Tagetik Profitability Analysis lets you focus on your business
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Astaldi
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Siam Cement
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Coty
Identify the most profitable areas of your business
Understand the profitability of your customers, products, and business units. With a robust allocation engine, CCH Tagetik makes it easy to analyze profitability by any dimension. Automate the allocation of direct or indirect costs down to any level using financial, statistical or historical drivers.
- Use configurable allocation rules for driver-based allocations
- Analyze profitability by customers, products or channels
- Evaluate scenarios using highlighted threshold variances
- Determine true costs with activity based costing
- Understand the margin impact of direct and indirect costs
Investigate profitability at every level
CCH Tagetik enables you to evaluate the revenue generating potential and cost effectiveness of every initiative, customer, product line, and activity by giving you greater insight into the drivers impacting profitability.
- Make informed decisions with business driver analysis
- Analyze budget-actual variances from different angles
- Align cost and revenue drivers for more efficient modeling
- Use a single source of data for accurate analysis
- Easily adjust allocation drivers with operational models
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