Study on BIG DATA data analysis in companies by KPMG and Bitkom Research
4 Dec

Study on BIG DATA data analysis in companies by KPMG and Bitkom Research

A large Bitkom study on the subject BIG DATA from the middle of the year has delivered exciting results. Six months later we use the results and ask questions. Versino Projects Managing Director Christof Biermann gives his current assessment of the results and the topic of BIG DATA. 

Versino blog: A Bitkom study carried out on behalf of the auditing and consulting company KPMG has shown that BIG DATA is also becoming more and more exciting for medium-sized companies. A total of 62 percent of the companies surveyed with 500 to 1,999 employees are already using BIG DATA solutions. A year ago it was only 44 percent. Does this development match your impressions?

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Christopher Biermann: Well, if that concerns medium-sized companies with more than 500 employees, that may be true. However, for all medium-sized companies that lay under this brand, I cannot confirm that. There are still a surprising number of smaller companies middle class, the do not even have the basic requirements for BIG DATA scenarios. And these are integrated systems that are suitable for the regulated collection and management of data. On the other hand, if one often argues about BIG DATA in medium-sized companies that the companies have their own ?data treasures? should lift (if any). In my opinion, the utilization of external data sources is much more realistic. But this turns BIG DATA into an integration and interfaces Theme. 

18 percent of the companies see BIG DATA as not relevant for their company. In your opinion, for which companies does BIG DATA software not yet play a role and could it stay that way?

 Every private person has come across the topic of BIG DATA. With a Facebook account you are already a player in the BIG DATA game. This also applies to every company. In this way, every company can consider whether it only wants to become a data supplier or also a data consumer. So it's everyone's business. 

A total of 41 percent of the companies state that they have minimized their risks thanks to BIG DATA and 27 percent were able to increase sales as a result. Do you see that as realistic hope for BIG DATA software users?

How many topics around the digital transformation BIG DATA is only relevant to sales if you can use it to support other or new business models. BIG DATA is not an end in itself, but can support new approaches to earning money. Entrepreneurial courage and imagination required. 

BIG DATA brings with it the possibility of evaluating large amounts of data from different sources and structures very quickly. As a result, better results can be achieved faster, on the basis of which other decisions can be made. Can this change business models in the long term and is there a good example of this?

As mentioned before: BIG DATA can be a prerequisite for new business models. Actually, you have to look more precisely for SMART DATA business models. Because the ability to quickly analyze large amounts of data paves the way for medium-sized approaches. So it doesn't always have to be ?many? be data. An example was published by colleagues related to SAP Business One. Or rather, an idea in which the shopping behavior of customers in a retail store was analyzed in real time in order to place additional sales.  

According to the survey, a full 77 percent of the companies surveyed still use tools such as Excel or Access to evaluate data? Do you think this is normal – and should something change?

 Yes – Excel is still the tool used by medium-sized companies. However, the limits of this approach are increasingly being encountered earlier and earlier. More and more professional tools such as LucaNet are being used more and more often, particularly in the area of financial controlling and planning. However, such software lives less from BIG DATA approaches than from the special know-how built into it.

Almost three quarters of respondents are "fairly" or "very" satisfied with the results of their data analyses. However, only 12 per cent have a proper strategy for their analysis, while 59 per cent have at least a partial strategy. Is an analysis strategy necessary and if so, how can it be developed?

This depends heavily on the industry in which the analysis is being carried out. It can be said of all of them that many companies have a great need to have cash flow under control. And that's where a lot of company numbers can play a role. In general, of course, it is also important for medium-sized companies to define their very own KPIs.

Furthermore, the legal bases are a major problem for many of those surveyed. Where can I get enough information about this?

First of all, you should deal with the new General Data Protection Regulation. Since this straight? the sow? that is currently being driven by the digital village, there is a lot of information on the web, lectures, seminars, etc.

Click here for the entire BIG DATA study 

Additional information on the study: 709 companies from all sectors with 100 or more employees were surveyed for the study. The interviews were conducted with managing directors or department heads from the areas of procurement, purchasing, logistics, production/project management, marketing/sales or finance/taxes/controlling. 

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