{'fraction_non_alphanumeric': 0.021359223300970873, 'fraction_numerical': 0.0, 'mean_word_length': 5.173652694610778, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Business Intelligence in the Knowledge Age

The Knowledge Age is in fact much more than a frivol assumption. A simple proof is related to the actual treatment of information. As data creation, production, storage and availability have increased, one's ability to make sense out of that data has obviously decreased. So there is a potential failure that is not basically a technical one; it may be tied to the political environment of data: traditional views of data, vertical management hierarchies, outmoded compensation structures, ill-defined ownership roles, etc. But this could also be a problem of Knowledge Management and that because of its basic purpose: identifying, collecting and organizing existing knowledge, and facilitating the creation of new one. This gap is partially filled in by Business Intelligence. Although relatively new as concept, nowadays Business Intelligence has got a great advance mainly because of the latest technologies which offer the power to extract the specific knowledge out of the system.