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As I started to explore in the first post of this series, many companies seem to be strategically lost among the various digitization initiatives and are experiencing severe difficulties in achieving results from the investments made.
As the data sources grow in size and variety, things get more complicated, and the Data Warehouse implementation projects become extremely long and prohibitively expensive, since they imply a normalization of all business data. But there are alternatives.
While manufacturing increasingly relies on near real time data for decision making, it requires solutions that can rapidly generate and process huge amounts of data. Edge solutions are a critical element of the entire data platform.
Dark data has no immediate value and does not translate into useful information, even when orchestrated and organized. Yet you should store it. This post explains why and how
Contrary to what happened in the previous industrial revolutions, manufacturing has lagged in implementing the base technologies underlying the transformation. Why has it been so conservative and slow to adopt big data?
Finding success with smart factories can be a frustrating experience. It’s not for lack of trying, since most major companies have undertaken projects, but as a Cap Gemini report shows, it appears they are not getting the results they’d expected.
The selection process for a MES system is by nature time consuming. If this downtime is properly used by the manufacturer, for all phases in which physical contact is not necessary once restrictions are lifted, it will be in ideal conditions for the final stages of the process.
It is no secret technology keeps advancing. Today, it seems to do so at an accelerated pace with a level of innovation that is nothing short of spectacular! These advances have created new opportunities for manufacturers to explore new ways to increase productivity. At the same time, these technologies have opened up greater global competition, which is now placing new pressure to be more creative with how work gets done.
I just read CapGemini’s Smart factories @ scale
report. Some of the numbers in it caught my eye.
The report is good and the methodology seems solid. And yet I believe that with such self-reported research, we need to take the findings with a grain of salt. I will be doing some critical analysis in this post.