Diverse challenges as part of a digital strategy
Given all the technical challenges involved in a digital strategy, it can be all too easy to lose sight of aspects such as innovation and creativity. However, it is crucial to nurture the potential of creative staff. There are various structural measures that can be used to achieve this, such as in-house innovation labs. These give specially selected staff the space and freedom they need to come up with original solutions. Even small, seemingly absurd ideas can go on to become something really big, as the success of countless start-up companies has proven. What’s more, companies should consider establishing a dedicated department for future growth.
Technical infrastructure and equipment is always expected to keep pace with the abilities of the workforce, but the same can’t be said in reverse. According to the “Digital Economy Monitoring Report 2018” published by Germany’s Federal Ministry for Economic Affairs and Energy (BMWi), the share of mechanical engineering companies where the entire workforce uses digital infrastructures is just 41 percent. This statistic is all the more disappointing considering the benefits such infrastructures bring. For example, flexible work benches promote productivity by allowing any staff member to log into them with their own account. Another BMWi monitoring report (“Digitalisierungsprofil: Maschinenbau 2018”) indicates that the biggest obstacle to digitalisation in mechanical engineering could be the lack of broadband networks. According to the report, 68 percent of mechanical engineering companies hold this view, which is an above-average share compared to the commercial sector as a whole (43 percent). Some 46 percent of mechanical engineering companies also believe digitalisation takes up far too much time, while 41 percent cited inadequate IT security as an obstacle.
More challenges from big data
The volume of customer-related data being held by companies is also growing, not least due to digitalisation. This expansive and sometimes unstructured pool of data is generally referred to as “big data”. The potential harboured by volumes of data like this is huge – even though most companies actually analyse only a small proportion of it. Big data poses two clear challenges for companies. Firstly, they need to work out a strategy for structuring and analysing the data that is collected. After all, from a long-term perspective, companies that don’t leverage the opportunity to evaluate data they have collated and use it to their advantage will fall noticeably behind their competitors.
The second challenge associated with big data concerns data protection. Data that has been collected cannot be stored indefinitely. What’s more, before they can analyse data in any automated process, companies need to obtain the explicit permission of the individual whose data is to be collected and processed. Ideally, data that is being collected for analysis purposes will be completely anonymised before it is even saved. This ensures the stipulations of the General Data Protection Regulation (GDPR) are met and minimises any legal risks that could be associated with any loss of data, for example. All in all, big data offers a great deal of potential, but can only be utilised safely and securely with the right expertise and plenty of planning.
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