Datenanalyse

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The effective use of high quantities of data from a variety of different sources, with a high speed, a high level of variability and with the goal of creating economic benefits is an important step on our path. This data, including the methods and tools needed to use it, belongs to the topic of big data.

The added value is generated by gaining information about business processes that, due to technical restrictions, was not available in the past.
Business processes are becoming more transparent and customer wishes can be satisfied more purposefully and more individually. Moreover, decisions being backed by means of quantitative analyses and the use of statistical models can be made in real-time, and they can be made based on real data. Thus, efficiency along the entire value-added chain is increased in every business sector. Additionally, due to the cross-functional integration of data from every business sector and different sources of data, redundancy is avoided. Different divisions are enabled to access a common database. Thanks to the combination with innovative means of communication and mobile terminal devices, the coordination among process partners is becoming faster, risks are identified at an early stage, and wrong decisions are reduced. Possible applications occur in the sectors of marketing, sales, research and development, production and logistics.

The above described technological progress and potential challenge businesses to find and implement innovative applications. It is necessary to develop a data culture, which can be subdivided into several steps:

The first step is to identify the data available and load it into a big data cluster. Subsequently, the data can be visualized. By analyzing the data, information is gained which allows the projection of reality in models. Based on these models, business processes can then be optimized and decisions can be deduced. Finally, as the last step, it becomes possible to make statistically valid predictions about the future.

IDA support their clients in developing this new data culture, as well as in unlocking the above described potential by using the data available, not least thanks to their profound knowledge of processes of logistics and productions – starting with the creation of a concept through to providing implementation support, whose success is ensured by efficient change management.