In the ever-evolving landscape of data quality and management, staying abreast of key terms and concepts is crucial. This knowledge center helps you understand the jargon and terminology that surround certifications. Whether you're a seasoned data professional embarking on a new certification journey or a newcomer eager to explore this field, this knowledge center is designed to provide clarity and insight into the world of management systems.

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What is a heat map?

 

Heat maps are generally used to illustrate

  • measurements, for example heat images or distributions in population density maps or
  • evaluations, for example of the results of (effect) correlations, such as in hotspot analyses.

This form of graphical representation takes advantage of the fact that viewers intuitively associate increasing temperatures from cold to hot with certain color sequences, for example blue, green, yellow, orange and red. This can be interpreted in a further association step, depending on the context, for example as "increasing significance".

However, since different associations of colors with temperatures are possible depending on technical references or cultural groups, the colors should be directly assigned to the ratings in a legend. For example: Yellow = low significance, Orange = medium significance, Red = high significance.

What is a High Level Structure?

The High Level Structure (HLS) was introduced by the International Organization for Standardization (ISO) to give management system standards a uniform structure and similar core content. The aim behind this is to improve the alignment of different ISO standards by means of a cross-standard structure.

The HLS also serves as a guideline for the revision or development of future standards. In the long term, all ISO standards for management systems are intended to contain the same overarching structure, common core requirements and common terms and definitions.

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