EBOOK:
With over 80 different ERP packages available today, determining what’s right for your organization can seem like a daunting task. But, with this e-book you will get advice and best practices for every step of the ERP software selection process. Ensuring you will not get lost in the sea of ERP software.
EGUIDE:
There is great potential for manufacturers to get ahead of the competition by leveraging business analytics or "BI". However, there are several considerations that manufacturers need to keep in mind in order to achieve a successful BI implementation. Read this expert e-guide to learn best practices for addressing these key considerations.
VIDEO:
Learn how one manufacturing-specific ERP solution has helped them achieve their highest levels of success in this short video. Discover how AMA was able to consolidate information and streamline operations to increase ease of access to information and revenue.
EGUIDE:
Investment in enterprise resource planning (ERP) software by small and medium-sized businesses (SMBs) is exploding, according to a recent report by Boston-based AMR Research. This Tip Guide discusses two SMBs and their approaches to the need for ERP software.
EGUIDE:
Data, data, data – with the advent of IoT, it's both one of the most promising and one of the most missed out on opportunities in the manufacturing industry today. In this e-guide, we explore the world of industrial IoT (IIoT) and how to leverage its massive data with analytics and machine learning.
EGUIDE:
Despite the enticing benefits of cloud-based ERP, organizations everywhere are reluctant to embrace this strategy due to perceived risks. In this expert e-guide, learn why cloud ERP fears are vanishing and uncover installation best practices.
WHITE PAPER:
Consult this resource to learn how greater visibility into the supply chain can help you effectively combat efficiency and performance challenges and pave the way for business success.
EGUIDE:
This e-guide examines the business case for manufacturing BI, and shows how manufacturers can take both demand and supply side signals into account when predicting future needs.
