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3. We did find that senior managers, especially CEOs, were more optimistic about analytics compared to middle and nonmanagers.
Finextra reported that financial services companies have reduced their time-to-decision making by 13 percent with analytics (compared to 10percentt for companies not employing predictive data).
According to Salesforce, 57% of high performing sales teams rely on sales analytics, compared to only 16% of their underperforming counterparts.
In addressing this question, and upon reviewing data from various sources, we confront interesting contrasts between strict reliance on analytics compared to qualitative information.
In particular, 'helping students learn more effectively' (37, 55%) was found to be more frequently stated value of analytics compared to 'recruiting students' (29, 44%) area.
53% of sales organizations that are classified as "high performing" rate themselves as effective users of analytics, compared to only 37% of sales organizations that are classified as "slow growers". Today's best-of-breed sales reps need to be data-driven and look beyond the "block-and-tackle" approach to selling.
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6. High performing small businesses are 1.3X more likely use sales analytics as compared to moderate and underperforming teams.
If anything people have complained that PP was too focused on English-language analytic philosophy compared to PI (which is no longer true — that was in the early days when we only allowed English publications).
It was demonstrated that the process windows for a successful part forming could be rapidly predicted with a reasonable accuracy by the analytic model compared to lengthy and costly thermo-mechanical FEA or experimental trial and error.
In addition, MongoDB in-house MapReduce has poor analytic libraries compared to Hadoop.
As previously stated, although MongoDB ships with in-house MapReduce, it has poor analytic libraries compared to Hadoop.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com