Canlak Coatings Reduces Forecast Cycles to One Week with Microsoft Fabric Planning
With the adoption of Microsoft Fabric Planning, Canlak Coatings has transformed its sales forecasting, cutting cycle times to one week and enhancing operational agility. This integration supports real-time updates and eliminates manual reconciliation, positioning Canlak for greater market responsiveness.
Key Facts
- Canlak reduced forecast cycles from four weeks to one, enhancing responsiveness to market changes.
- Transition to product-level granularity reveals a shift towards precision in inventory management.
- Integration with Power BI boosts data security and operational efficiency, reducing vulnerabilities.
- Streamlined forecasting may lead to improved cash flow and reduced holding costs for Canlak.
- No extra platform capacity used indicates cost-effective scalability, supporting future growth strategies.
Summary
Summary
Canlak Coatings faced challenges with their sales forecasting process, which relied on emailed spreadsheets and lacked version control. By implementing Microsoft Fabric Planning in collaboration with Data Crafters, they streamlined their forecasting cycle from four weeks to just one week, achieving greater accuracy and efficiency.
Background
Canlak Coatings operates in the coatings industry and manages a complex sales forecasting process. Prior to deploying Microsoft Fabric Planning, their forecasting relied on emailed spreadsheets that were refreshed periodically at the customer level. This approach created inefficiencies and difficulties in maintaining version control.
Challenge
The primary challenge was the lengthy sales forecasting cycle, which took three to four weeks to complete. This process was cumbersome and involved manual reconciliation, making it difficult to respond quickly to market changes and customer demands.
Solution
To address these issues, Canlak partnered with Data Crafters to implement Microsoft Fabric Planning. They integrated this solution with their existing governed Power BI semantic model, which allowed them to maintain row-level security. The plan data was then written back to a SQL database within Fabric, enabling real-time updates and improved data management.
Results
As a result of this implementation, Canlak reduced their forecasting cycles from three to four weeks down to approximately one week. The granularity of the forecasts improved to the product level, eliminating the need for manual reconciliation. Additionally, the solution did not require any extra platform capacity.
Key Insights
Businesses can benefit from integrating advanced planning tools with existing data models to enhance forecasting accuracy and reduce cycle times. Streamlining processes through automation can lead to significant efficiency gains without the need for additional resources.
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Entities Mentioned
Companies
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Technologies
Key Concepts
Definitions
- sales forecasting
- The process of estimating future sales based on historical data and market analysis.
- version control
- A system that records changes to a file or set of files over time so that specific versions can be recalled later.
- row-level security
- A feature that restricts data access at the row level based on user roles.
- manual reconciliation
- The process of manually comparing two sets of records to ensure they are in agreement.
- SQL database
- A structured collection of data that can be easily accessed, managed, and updated using SQL (Structured Query Language).
Use Cases
- →Reducing forecast cycles from four weeks to one
- →Implementing Fabric Planning on existing Power BI models
- →Enhancing data security with row-level security
- →Automating data updates without manual reconciliation
- →Storing plan data in a SQL database
Frequently Asked Questions
What is Fabric Planning?
Fabric Planning is a tool that helps organizations streamline their sales forecasting and planning processes. It integrates with existing data models to improve accuracy and efficiency.
How did Canlak improve its forecasting process?
Canlak improved its forecasting process by implementing Fabric Planning, which reduced forecast cycles from four weeks to one week. This was achieved by automating data updates and enhancing granularity.
What role does Power BI play in Canlak's forecasting?
Power BI serves as the semantic model for Canlak's data, allowing for better visualization and analysis of sales forecasts. It works in conjunction with Fabric Planning to enhance data management.
What benefits does row-level security provide?
Row-level security ensures that sensitive data is only accessible to authorized users based on their roles. This enhances data protection and compliance within the organization.
Why is reducing manual reconciliation important?
Reducing manual reconciliation minimizes errors and saves time, allowing teams to focus on more strategic tasks. Automation of data updates ensures accuracy and consistency in forecasting.