If you knew where some of the BIGGEST players in rather heavy industries like automotive manufacturing are going, you think you could come up with some ideas for yourself as well?
We here at Analytics Cloud, among other things, know the future*. In this blog post, we will have a quick look at where the world of automotive industry might be headed, and how does that translate into more efficient, more intelligent cars for all of us.
With a turnover of EUR 384 billion and a workforce of about 775,000, Germany is definitely the granddaddy of automotive industry in the whole world. Over 30 percent of the passenger cars driven in Europe are made by one of the German automotive giants.
So, what gives?
As is correctly stated in the study, the N is rather small. So, instead of proclaiming the findings as some kind of truth, let’s stay in the safer realm of reflecting on these findings as POSSIBLE explanations for the past and the future.
Let us first have a look at this from the perspective of the manufacturers (click on the images to enlarge them.)
Seems like businesses in Germany are looking to enhance previous decision data, improve customer knowledge and prepare trend analyses. Pretty old hat here, we’ve seen this over and over in Finland as well.
The winners in this survey were marketing, sales, PR, controlling and IT. Not surprising results, although they might reflect a bit on the group researched more than the actual truth, especially when it comes to IIoT. But nevertheless, these are big topics in classic IIoT branches, like automotive, as well.
German automotive industry employs around 93,000 people in R&D and spent EUR 17.6 billion in R&D in 2014.
Now, the interesting question is this: where is all of this billion-euro mass of R&D money directed at?
How does Germany stick to its position as the third largest car manufacturer in the world? The answer is a bit trickier than what we can tackle in a single blog post, but let’s have a look at something that might be indicative of some of the root causes of their success.
As we have been focusing on IIoT ourself for quite some time now, it’s not exactly a surprise that topics like predictive maintenance, service parts management, predictive material demand, usage data and geodata are high on the priority list.
This blog post really wouldn’t be complete without the typical and daring “cars will fly and be thought-driven”* projections into the future. So, let’s have a look at some of the increasingly space-age type of innovations somewhat likely to arise in the automotive industry in the future.
As cars are increasingly equipped with the required technology, it’s probably not too long before cars can interact not only with humans, but with other cars as well.
2. Incredible navigation abilities
When cars can more reliably be connected with different sorts of traffic-based and other forms of geodata, more accurate navigation is only one of the benefits we all get to enjoy.
3. Fault prediction
We are working every day on this one with heavy manufacturing, and it’s very likely this is going to expand the possibilities way beyond the current level.
These three are but a few from the endless list of pretty futuristic improvements likely to be made available to the bigger audience within the next 5-10 years.
This post was so very scientific, that it’s probably proper to end in “conclusion.”
Goes like this: Germany, being one of the largest car manufacturers in the world, is investing heavily in R&D, data being one part of it. As of now, they’re using the data to improve the output on their production, and communicating the value better through understanding their customers better.
The conclusive mini pitch: if you are producing something in the range of EUR 10M+ annually, we should talk about how to squeeze more out of your process with data warehousing, simplifying your data environment and advanced analytics. It is our intention that minds will be blown and coffee will be enjoyed in unheard-of quantities. You can reach us here.
*) fun intended
COO, Service Delivery
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