DATA SHEET:
Infor VISUAL Quality Management is an extended enterprise quality management system that helps you increase productivity while maintaining and improving quality.
EGUIDE:
Access this e-guide to discover what sets cloud/SaaS ERP apart from traditional, on-premise ERP deployments. Also learn about manufacturers who have successfully embraced the cloud for their ERP needs, and the special considerations process manufacturers should have before adopting ERP software.
EGUIDE:
Process manufacturers face some unique challenges, and therefore require unique strategies and techniques for supply chain management. Learn 7 key issues to consider for process manufacturers today.
EGUIDE:
In this product lifecycle managment (PLM) e-guide, discover an overview of the basics of PLM tools, software selection and implementation tips from industry experts, the value of cloud PLM, 3D CAD imagery, and social media add-ons, and why− and how− PLM is branching out from discrete manufacturing into process manufacturing.
EGUIDE:
In 2011, there was a strong willingness to invest in technology by manufacturing organizations. However, that wasn't the only trend. In this tip guide, uncover the most popular developments in 2011 and how these trends have the potential to carry into 2012.
EBOOK:
In this e-book, learn how to build a business case for a midmarket enterprise resource planning (ERP) system and get tips on navigating the market and implementing software.
EGUIDE:
This e-guide from the experts at SearchManufacturingERP.com explores the recent popularity of software as a service (SaaS) applications amongst today's leading manufacturers. Also inside, count down five technology trends shaping the world of HR.
WHITE PAPER:
This white paper provides 10 steps to a seamless and profit-focused enterprise resource planning (ERP) system implementation for small to mid-sized businesses (SMBs) like yours.
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.
