There are many advantages to using one calendar to plan events across the enterprise. While the list can get quite extensive, here are a few “top-line” reasons it works:
- You can analyze which shows it makes most sense for you to attend
- You can optimize personnel scheduling to event activations
- You can manage content creation through various input sources
- You can publish extensively onto individual event calendars
- You can customize event portfolios and roadmaps
- You can improve event performance tracking, reporting, and analysis
While a single Enterprise Event Calendar provides all these benefits and more, there is even a bigger untapped advantage to get “on your calendar” in 2017: Big Data.
Put Yourself on the Big Map.
A tool like EventCENTRAL (Demo) aggregates, then optimizes your corporate event data to provide visibility to each business unit in your enterprise (see figure one), both on-site, off-site and around the world.
Figure one: A Central Calendar with Enterprise Visibility
While this is exceptionally useful on a functional basis, having all your event data in one place allows you to do something previously reserved for only the biggest and richest organizations in the world.
With a big “dump” of data you can analyze meta trends in your client behavior just like a big government organization or ginormous phone company (to put things into context). While this “meta data” can be useful the real value of big data to a medium-sized enterprise is in how it captures innovation.
Innovation and “Product Market Fit”
Big data generates innovation when it can be used to uncover a “product market fit.” Sometimes this leads to a product improvement and other times it can create a whole new product category. Using big data in this way is the stuff of legend in Silicon Valley; stuff you don’t even think twice about today.
For example, the “suggested follower” functionality in Twitter was created from a painstaking analysis of user behavior. Literally billions of clicks were analyzed to generate a pattern of behavior that was going unmet - or in this case the “cohorts” interested in the same things as the Twitter user - that they were not connecting with.
The “Ah-Ha Moment” and Aggregation
The use of data and statistics to change user behavior is nothing new, however. The difference between big data and “behavior modeling” is an obsession with the one or two metrics that will yield what data scientists call an “Ah-Ha Moment.”
For example, not just registrants but registration codes and registration types such as attendee, exhibitor, supplier, competitor, distributor, systems integrator, employee, and event staff can be entered then appended to “rules” like payment processing, conducting surveys, agenda tracks, sending confirmation notifications and more.
Furthermore, by nesting registration within the calendar, a user can test unlimited parent-child relationships including break-out sessions, labs, user conferences and other gatherings as part of (or independent of) an attendee’s registration to the larger conference and more.
Finally, because data is aggregated it can be organized, evaluated, scored and analyzed to yield breakthrough insights. Many of G2Planet's most popular online products in fact were developed in precisely this way.
What is your Ah-Ha moment?
Big Data & The Bottom Line
Your company spends millions of dollars on events. 2017 is a time to use tools that yield new insights. Consider EventCENTRAL (Demo) to align your enterprise around more “evidence-based” solutions for success.
Want to leverage big data to better plan and execute your enteprise events this year?