Using Data To Mold Career Players
But what can data-savvy officers do with guildies who already raid for a guild? Officers can now use analytics to proactively manage rosters. Armed with knowledge that a certain raider is likely to leave, someone from the company can approach him and offer him a role that the data shows is more likely to engage him in the long term.
Data sets for these purposes might start with basic information about guild history, level, raid experience and loot interests, all pulled from forumquesting and sites such as p1999 magelo on the wiki.
Then there’s information that a guild collects itself. This information might pertain to raid performance, guild engagement and character development, as well as to a guildie's achievements and the recognition he has earned for them. Obviously, the larger the data set, the easier it will be for the predictive analytics to make correlations.
The future of the red belongs to those who can best predict it — and those people will be the ones who have the data and know how to use it. We’re in an era of uncertainty, where guilds are under pressure to change rapidly and aggressively.
Recruitment officers and other C-suite inhabitants who know what’s good for them will learn to defer, or at least listen closely to, those people in the guild structure, in whatever capacity, who can see into the future — with dramatic effects for the bottom line.
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