< POWRÓT

< POWRÓT

< POWRÓT

Optimizing volume and price planning in a global manufacturing environment

Area of collaboration

System implementation

Industry

Manufacturing

IBM Planning Analytics

About the client

Our client, an international manufacturer operating across five global regions, faced this challenge every quarter. The finance team spent weeks consolidating data from scattered Excel files. Each region used different KPI definitions and formats, which led to errors and decisions based on inconsistent data.

CHALLENGES

Symptoms you should recognize in your organization

Instead of analyzing data, the team spent their time organizing it. The company was unable to respond quickly to market changes, and planning was based on simplifications and unverified assumptions.

Information chaos

Lack of a unified tool for volume and price component planning

Delayed and unreliable reports

Data silos and inconsistent formats across departments

Low productivity

The team wastes time manually mapping data from sales and logistics departments

Difficulties in comparing data across regions

Prevents objective performance evaluation

Delayed planning processes

The lack of automation meant the process required constant manual handling

Lack of control over the planning process

Difficulties identifying where and when changes were made

Centralized planning that reduces reporting time from weeks to minutes

We implemented a centralized planning environment based on IBM Planning Analytics, which integrated previously fragmented processes while retaining the familiar Excel interface. Thanks to multidimensional modeling, decision-makers can analyze data from multiple perspectives and make faster, more informed decisions.

Key elements

A single data source

Data entered locally by users is sent directly to the central data cube, eliminating the risk of human error.

Working in the familiar Excel environment (PAfE)

Without requiring users to change their habits.

Dynamic analysis and "what-if" scenario modeling

IBM Planning Analytics Workspace (PAW) provides real-time data visualization and reporting, allowing decision-makers to evaluate various business scenarios before execution

Automated currency conversions and KPI calculations

Eliminates manual calculations by automatically applying current exchange rates.

From untimely planning to full control over the process

Following the implementation of the solution, financial planning evolved from a chaotic set of activities into a structured, repeatable cycle with clearly defined roles and responsibilities. The planning process was standardized and broken down into distinct stages, each assigned to specific teams – from volume updates and price components to the final data review conducted by the controlling department.

All data is centralized in a single data cube, allowing for multidimensional analysis and real-time reporting in both Excel and web-based interfaces.

Importantly, the system enables an immediate response to changing market conditions, such as currency fluctuations or rising raw material prices, allowing the client to stay ahead of the competition by quickly adjusting their pricing strategy.

Benefits

From delayed responses to rapid market reaction

Elimination of costly human errors

A standardized process eliminated common Excel errors – from incorrect formulas to faulty currency conversions.

Unlocking the potential of the finance team

Analysts are able to concentrate on analysis and the identification of business opportunities, rather than on time-consuming manual data consolidation and organization.

Increased transparency and change tracking

All changes are tracked and monitored, which increases accountability for the data.

Accurate profitability calculation

The system enables precise calculation of unit production costs by utilizing automated, multi-level cost allocation processes.

Effective margin management

Through the inclusion of all cost elements and real-time recalculations.

Automatic consolidation and currency conversions

Data is accessible in local and consolidated group currencies, eliminating the risk of conversion errors.

Outpacing the competition in strategy adaptation

Thanks to “what-if” scenarios, business decisions are made based on multidimensional simulations, enabling proactive rather than reactive management.

Greater independence of business teams

With the administrator role in place, the process can be entirely managed independently of the IT department.

From decisions based on faulty data to “what-if” scenarios

Today, the client’s team operates on a single, unified database—eliminating manual file consolidation and Excel-related errors. Reports are available instantly, and decisions are made faster because responding to changes in sales or costs takes minutes instead of days.

However, the most significant transformation lies in the decision-making approach itself. Instead of relying on incomplete or erroneous data, the team can now test various “what-if” scenarios and predict the impact of market changes on the company’s performance before making decisions.

This is not just a time-saving improvement but a fundamental shift in risk management and building competitive advantage.

Growth

Basis for continued growth

The implemented solution is just the beginning. Thanks to IBM Planning Analytics, the client has gained a platform that can be easily expanded without significant investments. The next steps will enable:

Cash flow forecasting

improved liquidity control

Implement advanced margin modeling

for dynamic management of sales channel profitability

Create a comprehensive operational planning system

integrating sales, pricing, production resources, inventory, and supply chain

Develop AI-powered predictive models

to forecast trends and prepare for the future

4 key lessons from the financial planning transformation

The transformation of planning did not begin with selecting a tool, but with asking a fundamental question: why, despite the effort, does the process not work as it should?
Attempts to fix the situation with additional files and manual work only deepened the chaos. Therefore, we first mapped the biggest pain points in controlling to relieve them and enhance the team’s efficiency.
Based on over 300 implementations, we present four proven principles that you can apply in your company.

1

Diagnosis before technology

Planning doesn’t fail because the process is flawed, but because everyone does it their own way.

Analyze the last planning cycle – count how many file formats were used, how many versions existed, and how many hours were spent manually consolidating data. This simple analysis will reveal the true sources of inefficiency.

2

Appoint a process owner

Wdrożenie narzędzia nie przyniesie rezultatów bez jasno określonej odpowiedzialności. Implementing a tool will not yield results without clearly defined accountability. The business administrator role changes everything – it enables end-to-end planning management without constant IT involvement.

Identify a person who combines business and analytical skills to take on this role -not merely as a meeting coordinator, but as a true operational leader.

3

Maintain continuity during change

The best transformations preserve the strengths of the existing process, eliminating only the bottlenecks.

Don’t create a new process – improve the one you already have. Map the current information flow and identify the 2–3 biggest bottlenecks to eliminate.

4

An external perspective helps avoid repeating the same mistakes.

Collaboration with a partner who understands both the capabilities of the tool and the realities of planning processes enables faster achievement of a mature operating model and helps avoid common mistakes.

When looking for a partner to transform planning processes, ask for specific examples of similar implementations and verify whether they understand both the technological and business aspects of the planning process.

CONTACT

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