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July 28, 2017 by traditio

The major influencing factors of indicators make transparent: the positive or negative development of key figures is accompanied by continuous changes in customer behavior, competition, etc. In order to draw the necessary conclusions however, the main factors of influencing the changes can be understood. This is made possible through the development of action networks. You make transparent what effect conditions is a key figure and this create a better understanding of the causes of changes. Key figures from their isolated consideration lead out and put in relationship with other key figures: no facts about figures represented exists for itself alone, but he must in a larger context considered and in his overall situation be assessed. So, the knowledge about the interaction of the actually relevant indicators is crucial when evaluating results. For example, if there are similar irregularities in the sales performance of different products in a specific target group.

Lacking this knowledge, then wrong conclusions by an isolated look at risk. Analyzed indicators equipped with practical recommendations for action: a limit the information on mere numbers in the reports the decision makers remain largely alone. Therefore, the recommendation to embed the key figures in wider context information (background information, descriptions, opinions, reviews, experiences, etc.), which are generally outside of key performance indicators systems, as well as to develop interpretation tools and recommendations for action to improve the quality of decision is. About coretelligence: Coretelligence builds with the key figures-profiling for the first time a bridge between technology and business advice, by a comprehensive, holistic information profile of the company is developed taking into account all relevant factors. This ensures a much more precise understanding of analysed indicators. The advice from coretelligence is based both on broad, proven competence and offers a comprehensive methodological expertise to optimize sustainable operational information and decision-making processes.

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