Lawson M3 Analytics for Manufacturing provides fast, easy-to-use business intelligence. It supplies your company with integrated information that helps you manage your business more strategically. It helps direct you to the critical areas of your business that need improvement, and provides measures which are focused on your organizational performance. It does so by collecting data from your M3 enterprise applications and providing you with key measures for analysis or reports. And the good news is that it doesn’t require a team of experts to obtain results.

The reports generated by M3 Analytics for Manufacturing cover five key areas: sales, finance, procurement, production/planning and warehouse/logistics. With M3 Analytics for Manufacturing, you will be able to answer questions such as:

• Where is my best product margin?
• How can I preserve cash?
• Why has my inventory increased?
•  Which customers never pay on time? And many more.

M3 Analytics for Manufacturing offers your organization over 70 predetermined, manufacturing specific KPIs, which speed up time-to-value. Based on common good practice, M3 Analytics for Manufacturing removes the guesswork from deciding which KPIs you should monitor and enables you to track multiple KPIs by individual product, customer, account manager, and more.

In order to adapt quickly to your organization’s specific needs, M3 Analytics for Manufacturing also includes over 50 built-in template scorecards allowing you to build task-specific, analytical views of data. These include subjects like: sales vs. budget, supplier performance, production variances, stock turnover, customer debt and many more.

Increased Return on Investment

M3 Analytics for Manufacturing provides an easy-to-use business intelligence toolkit for a fraction of the normal cost. The benefits are:

• No costly internal development;
• Users can easily configure or expand scorecards with little or no IT staff involvement;
• You get a complete, out-of-the box package;
• You can be up and running in as little as 10 days.