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      "text": "We applied a logistic regression algorithm to understand how application of modern network maturity drivers is related to the probability of being classified as a low-risk company for each of the six types of risks.",
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      "text": "Syncing the network strategy with the C-suite agenda\nCreating an elastic, configurable and consumable cloud-first network infrastructure\nBuilding future network talent and operational model enablers",
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      "text": "This analysis was based on our proprietary survey data and was conducted separately for each of the six categories of enterprise risks, covering the sub-categories as mentioned on page 12 “Business risks due to inadequate network infrastructure”. In the first step, we marked in our sample companies which are exposed to significant risks in all sub-categories of six enterprise risk pillars. Then, for each respondent, we calculated a sum of risks of a given type that a company reported significant or very significant exposure to. A company that is exposed to at least half of the sub-category risks of given type has been classified as high-risk profile company, the remaining ones to low-risk profile.",
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      "text": "For this analytical framework, we leveraged our proprietary survey responses on the share of overall network spend that is dedicated to modernization of the network over time (opposite to maintenance of the legacy systems). We analyzed how the size of the shift towards modernization is related to the overall level of network-related costs at the end of the three-year period since the start of the shift. The analysis was conducted with the application of OLS regression and was controlled for company-specific factors such as size, location of head quarter and industry a company operates in.",
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      "text": "We controlled for company size, industry and HQ country. We applied a logistic regression algorithm to understand how application of modern network maturity drivers is related to the probability of being classified as a low-risk company for each of the six types of risks. We analyzed 25 detailed maturity drivers categorized under the following broad practices:",
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