In our ' 8 Rules for Successful Software Implementation and Process Changes', we wrote rule 6 as follows: "avoid heavy customization if possible". That's generally the advice I give our customers.
However, if you really want to go down that route, here are our 5 tips for developing customized software.
Online retailers have had to become masters at data analytics. They have an ocean of data and can make experiments & get feedback quickly. They keep iterating on how to get visitors to shop more and come back more often.
At the other extreme, many manufacturing and purchasing organizations still live in the pre-digital world. They “touch” many data that are, unfortunately, not collected in a database for analysis.
That’s a pity. Using relatively simple statistical tools can provide many actionable ideas for cutting defect rates, supplier risks, and operational costs. Machine learning should come much later.
Most manufacturers have understood that placing inspectors at the end of the line is not the right way (or, at least, not sufficient) to manage quality. The key is to improve processes and to catch issues as close to their source as possible.But, in practice, when it comes to checking quality during the manufacturing process, what are the most common options? And how to schedule them based on work orders issued by the factory's planning system?