BIOTON

Overview

In 2021, a comprehensive budgeting and forecasting platform was implemented to enhance budget planning, forecasting accuracy, and operational data management. The solution aimed to streamline processes, improve controlling, and facilitate more informed decision-making across the organisation.

Objectives

The primary objectives of the project were:

  • Accelerate budget planning processes, improving accuracy and reducing associated risks.

  • Enhance controlling processes and enable quick corrections and adjustments to budgets based on current conditions.

  • Ensure a uniform level of knowledge across the organisation regarding budgeting and forecasting.

  • Facilitate predictions related to marketing and sales planning activities.

The Challenge

The project aimed to address several key challenges:

  • Improving budget planning processes and ongoing control of budget execution.

  • Supporting sales and marketing planning by integrating historical data and market outlook.

  • Developing budgeting solutions for various product lines.

  • Incorporating historical data and market insights from independent institutions like IMS into the planning processes.

The Solution

The following solutions were implemented to meet the project’s objectives:

  1. MATRIX Business Intelligence System:
    A proprietary Business Intelligence (BI) system was developed and implemented, providing:

    • Integration of Historical Data: Incorporating past data for more accurate budgeting and forecasting.

    • Ongoing Budget Control: Tools for continuous monitoring and adjustment of budget execution.

  2. Cloud Solution:

    • The platform was deployed using Microsoft Azure, offering a scalable and secure cloud-based solution for data management and processing.

  3. Streamlined Information Flow:

    • The system facilitated the smooth flow of information and reporting processes across the organisation, ensuring consistency and accessibility.

  4. Cost Control and Marketing Planning Tools:

    • Integrated tools for cost control and marketing planning, enhancing the ability to manage and plan resources effectively.

  5. Resource Planning Tools:

    • Tools were included for planning resources necessary for the implementation of sales and production plans, such as an HR module for employment planning.

Results and Benefits

The implementation of the budgeting and forecasting platform led to several significant improvements:

  • Accelerated Budget Planning: Enhanced the speed and accuracy of budget planning processes, reducing risk and improving overall efficiency.

  • Improved Controlling Processes: Enabled effective monitoring and adjustment of budgets, ensuring alignment with current conditions.

  • Uniform Knowledge Across Organisation: Provided a consistent level of understanding regarding budgeting and forecasting throughout the organisation.

  • Enhanced Predictive Capabilities: Facilitated better predictions related to marketing and sales planning activities, informed by integrated historical and market data.

  • Streamlined Reporting and Information Flow: Improved the flow of information and reporting processes, contributing to more effective decision-making.

  • Effective Resource Planning: Supported the planning of necessary resources, including HR, to implement sales and production plans effectively.

By implementing the MATRIX Business Intelligence system and operational data warehouse, the organisation achieved a more streamlined and accurate approach to budgeting and forecasting, leading to enhanced overall financial management and operational efficiency.

BIOTON

Overview

In 2021, a comprehensive budgeting and forecasting platform was implemented to enhance budget planning, forecasting accuracy, and operational data management. The solution aimed to streamline processes, improve controlling, and facilitate more informed decision-making across the organisation.

Objectives

The primary objectives of the project were:

  • Accelerate budget planning processes, improving accuracy and reducing associated risks.

  • Enhance controlling processes and enable quick corrections and adjustments to budgets based on current conditions.

  • Ensure a uniform level of knowledge across the organisation regarding budgeting and forecasting.

  • Facilitate predictions related to marketing and sales planning activities.

The Challenge

The project aimed to address several key challenges:

  • Improving budget planning processes and ongoing control of budget execution.

  • Supporting sales and marketing planning by integrating historical data and market outlook.

  • Developing budgeting solutions for various product lines.

  • Incorporating historical data and market insights from independent institutions like IMS into the planning processes.

The Solution

The following solutions were implemented to meet the project’s objectives:

  1. MATRIX Business Intelligence System:
    A proprietary Business Intelligence (BI) system was developed and implemented, providing:

    • Integration of Historical Data: Incorporating past data for more accurate budgeting and forecasting.

    • Ongoing Budget Control: Tools for continuous monitoring and adjustment of budget execution.

  2. Cloud Solution:

    • The platform was deployed using Microsoft Azure, offering a scalable and secure cloud-based solution for data management and processing.

  3. Streamlined Information Flow:

    • The system facilitated the smooth flow of information and reporting processes across the organisation, ensuring consistency and accessibility.

  4. Cost Control and Marketing Planning Tools:

    • Integrated tools for cost control and marketing planning, enhancing the ability to manage and plan resources effectively.

  5. Resource Planning Tools:

    • Tools were included for planning resources necessary for the implementation of sales and production plans, such as an HR module for employment planning.

Results and Benefits

The implementation of the budgeting and forecasting platform led to several significant improvements:

  • Accelerated Budget Planning: Enhanced the speed and accuracy of budget planning processes, reducing risk and improving overall efficiency.

  • Improved Controlling Processes: Enabled effective monitoring and adjustment of budgets, ensuring alignment with current conditions.

  • Uniform Knowledge Across Organisation: Provided a consistent level of understanding regarding budgeting and forecasting throughout the organisation.

  • Enhanced Predictive Capabilities: Facilitated better predictions related to marketing and sales planning activities, informed by integrated historical and market data.

  • Streamlined Reporting and Information Flow: Improved the flow of information and reporting processes, contributing to more effective decision-making.

  • Effective Resource Planning: Supported the planning of necessary resources, including HR, to implement sales and production plans effectively.

By implementing the MATRIX Business Intelligence system and operational data warehouse, the organisation achieved a more streamlined and accurate approach to budgeting and forecasting, leading to enhanced overall financial management and operational efficiency.

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Using Matrix to create annual and rolling budgets saves a lot of valuable time during the process of collecting, consolidating and reporting financial data. (...) In addition, each user of the system has access to up-to-date financial data which is within their area of responsibility, market data and planning data, which significantly speeds up work across the organisation
Dariusz Salamon
Dariusz Salamon
Comercial Controling Director, Teva Pharmaceuticals
Using Matrix to create annual and rolling budgets saves a lot of valuable time during the process of collecting, consolidating and reporting financial data. (...) In addition, each user of the system has access to up-to-date financial data which is within their area of responsibility, market data and planning data, which significantly speeds up work across the organisation
Jose Perez
Jose Perez
Divisional Manager, Software Radio Technology PLC
On behalf of Agora S.A., I would like to thank Omega Code Sp. z o.o. for the implementation of a recommendation system. The goals set for the Omega Code team concerned the development of a learning algorithm that, when making decisions, constantly strives to maximise profit. (...) The use of Reinforced Learning methods for the application of the Contextual Multi Armed Bandit algorithm and the application of the latest trends based on self-learning alorithms made it possible to achieve a high efficiency of the implemented solution, exceeding 1% CTR.
Piotr Rytel
Piotr Rytel
Head of eCommerce IT, Agrora S.A.

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