Let us now fine tune our understanding of the above starter pages against the background of the implementation of a shared professional web hosting service (1), as applied to the customization of a perimeter (to be) dedicated to the publication of a web concept demonstration such as mine. Instead of venturing blindly into an indepth analysis of statistical data, it is advisable to do some preliminary research into the limitations of Urchin v6 (2):
In terms of technical constraints directly linked to the nature of my web publication, which is defined as "a concept demonstration pertaining to the development of a master franchising solution for societal R&D", it is important to understand that the conceptual integrity imperative which defines the reliability of my demo-enabled proof-of-concept testing forces me to exclude from my recommended Mac-1-sustained conceptual configuration (1) all third-party components from identified developers who provide their apps outside the Mac App Store, such as Adobe Flash Player. The unavailability of this module for my native service level configuration prevents all graphical visualization of my web statistics.
In terms of statistical analysis, the only two metrics that are relevant for me are:
the number of IP addresses logged for analysis (1), and
the geographical location thereof (1),
…since a quick examination of the latter suffices to confirm that NetPlusUltra® refers to a global solution (1).
Considering however that the number of journalized IP addresses does not provide any further information about the types of IP addresses handled by default (static or dynamic), Urchin v6 as an analytical breakdown tool comes short of whatever it takes to reduce the margin of error, which remains considerable, as evidenced by certain conversations on the OVH support forum of communities (1).
Considering further that the toxic cloud which impedes our interpretation of raw statistical data is still as thick as the one that biased our perception of SSL certification practices in 2014 (1), and that only the transparency of our base configurations can contribute to dissipate both, it is logically the NetPlusUltra®-sustained master franchising model of self-governance which, as the solution for the dismantling of conflicting practices, will enable us to help ourselves out of the structural dead end that the "OSI 2.0 model" has aggregated into throughout the years. From a conceptual perspective, this brings us back to "Year Zero" of the internet, which, speaking of a franchise opportunity, is rather good news (2, 3).
At the "glocal" level, economic (1) and societal (2), it is both the implementation of an additional aggregation layer, and the conceptualization of the "equal statistical processing" principle, which will enable the interpretative clarification of existing logs, with a systemic view to achieving an entirely GDPR-compliant (3) global deployment of the NetPlusUltra®-sustained master-franchising solution.
In terms of conceptual integrity (and integrativity), laying the groundwork for the redeployment to come would require, in a first step, to formalize (through integration into our operating systems) the recognition of the existence of two "internetworks" with distinct configurations and uses:
the solution-oriented "system web" on the one side, focused on "the (dematerialized) engineering of help for self-help" (Mac 1),
the people-oriented "social web" on the other side, focused on "the (more or less direct) support to individuals" (Mac 2),
…which would enable, in a second step, to secure the fine-tuning of existing statistical data by adding the missing breakdown criteria, such as the types of journalized IP addresses (1): static, dynamic, "forged" by certain tools (2) misused to divert the SSL VPN concept (3), stealthy (but no less detectable), institutional, public, corporate, private, etc.
It is only once these fundamental guarantees are provided to secure everyone’s user experience as a system and/or social affiliate member that the indepth diagnosis of web statistics generated by enlightened and consenting users will present a conceptual interest for the collaborative development of custom solutions, without requiring a costly preliminary expertise for the sole purpose of enabling oneself to interpret (one’s own) raw input data properly (1, 2).
Published by Daniela BERNDT on 2019-03-27.