A critical element for fully integrated ERP, well-structured and easily navigable analytics – yet an area that most companies / organizations struggle with.
The Data Value Chain was built for structured data. But 80% of what your organization knows is unstructured - and AI just cracked it open. This is the knowledge management breakthrough we've chased for 30 years.
Deriving information out of raw data involves seven separate, dependent processes - the Data Value Chain. Your team needs to have a multi-layered ecosystem of skills and experience required to effectively extract the most value.
During a process review session this week, I got involved in a terrific conversation about Smart Part Numbers. You know what I'm talking about - those cryptic SKU identifiers so popular with the folks in the warehouse, on the shop floor, in production planning. There is logic and structure to the characters and the numbers, structure that codes identification and classification details onto those bin labels. We are having problems with item WC1-644-A019910 Oh, that's because the trim press is…
As previously noted, I've been doing a lot of discussion and data crunching around "Master Data Management" lately - so I've "bootstrapped" a little market research project. It's still a work in process - responses are trickling in - but I thought I might take some time to summarize what I am hearing to date. A document is available for download here ... the super summary follows below. Survey Methodology Please note: I am obviously not a professional market research…
I've been asked a lot of questions about "Master Data Management" over the past few weeks - what does it mean, who does it, and what are some tools and metrics that organizations are using to reign in this important aspect of ERP and analytics systems. I started reaching out to the folks in my professional network with some results, but I thought I might be able to leverage LinkedIn and Twitter to get input from far and wide. This…
I've had to respond to this question, inside and outside of the company, in a number of different conversations over the past few days. It's interesting, because this is one of those conversations where semantics mean a lot - what people say is just as important as what people don't say. I only mean that people assume their listeners have precisely the same understanding of the concepts - which is often a mistake. Case in point - who owns the…