Why Manufacturers Are Moving Away from Excel
Spreadsheets have been the default for decades, but they are no longer keeping up with the complexity of modern manufacturing. As data volumes grow and teams become more cross-functional, companies are turning to cost management software to improve accuracy, speed, and collaboration.
Let us take a closer look at seven specific reasons why manufacturers are choosing structured tools over Excel and why you should too.
1. Excel Slows Down Your Team
Spreadsheets can be useful for individual calculations, but they do not scale. They are prone to human error, hard to standardize, and not designed for collaboration or scenario modeling. In many teams, each person has their own template. This makes version control difficult and creates risk during quoting, sourcing, or negotiation.
2. Data Is Centralized and Always Up to Date
Instead of maintaining Excel price lists manually, users can work with live market data feeds, benchmark databases, and their own internal data sources in one place. This eliminates manual updates and improves accuracy.
3. Templates Replace Repetition with Structure
Modern cost management tools provide standardized templates and calculation logic. Cost engineers can use pre-configured modules for parts like plastic housings, machined metal components, or packaging. Templates reduce rework and ensure consistent methods across users.
4. Teams Work Better Together
Excel offers no real-time collaboration. Multiple users often work on separate versions of the same file, leading to duplication, inconsistencies, and lost changes. Version control is manual, tracking who changed what is nearly impossible, and merging changes is time-consuming.This slows down decision-making and increases the risk of using outdated or incorrect data in negotiations or quotations.
5. Over-Reliance on Individual Expertise
Excel models depend heavily on the original creator. When that person is unavailable, understanding or modifying the logic becomes difficult. The lack of standardization makes onboarding new team members harder and creates risk when teams must update or reuse models. Different departments often develop separate approaches, which reduces comparability and limits scalability across the company.
6. High Risk of Human Errors
Manual data entry and complex formulas significantly increase the risk of mistakes. Errors in formulas, broken links, or overwriting data can result in major financial miscalculations. In Excel, tracing back logic and data lineage is difficult, which hinders quality control and auditing. Engineers often spend valuable time trying to understand or verify models, increasing the chance of introducing new errors.
7. Cost and CO2 Insights in One Place
With rising interest in sustainability and Scope 3 reporting, having both financial and environmental data in the same workflow helps teams evaluate trade-offs more efficiently.