#data-normalization

#data-normalization

When it comes to market segmentation, I don't see truly well-documented cases often. At a more simplistic level, we think of classic matrices such as BCG or McKinsey's. But the real exercise of segmentation is far more complex. In certain contexts, it comes close to the behavior of a tensor: multiple dimensions, cross-dependencies, distinct weights, temporality, and contextual factors that shift the meaning of data depending on the axis being analyzed.

Data normalization streamlines your database, making its information consistent and reliable - crucial for effective monitoring and insights within New Relic.