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Data Tells More About the Attendees Than They Might Know About Themselves.: Vishal Puri, Founder Spalba

.Data about past events of similar kind allows one to ensure that the usual suspects (in terms of mistakes and events gone wrong) don’t happen, writes Puri.

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Data helps to segregate different people on the basis of their interests. This allows for better curation of content and a good sense of who’s interested in what.

For us at Spalba, it allows us to find the perfect venues based on a person’s interest and also helps them plan the event better due to a better insight into their audience’s mind from planning through to execution.

Data about past events of similar kind allows one to ensure that the usual suspects (in terms of mistakes and events gone wrong) don’t happen.

Usual mishaps are already factored in at Spalba, as it becomes a USE CASE once a mishap happens and then from that point onwards, it is ensured that such a situation does not arise again for possibly any event.

Stats are facts. They tell a story. Like how many disliked a keynote or how many people are segregated in an area. These statistics are facts that allow an insight into the attendee’s minds and how the event can be made better for them.

When you know what the audience likes and dislikes, it helps the organiser to direct the manpower to the right places to ensure that the amount of interest does not hamper with the individual experience of the attendees

Post event analysis and statistics has been mostly data based, collected pre- during and after the event and processed.

Whereas, the world today allows for real time data collection allowing for action plans that can be executed in real time in case situation x arises.

When you know nobody is interested in a part of your event, in real time, it allows you to come up with a better solution and engagement tactics that allow for better utilization of the space or a new activity to engage.

Data can also tell a lot. Like for celebratory events, people tend to bring additional people. But when organising, if that data is factored into the organisational aspect of the event, it allows to already make room for a few extra attendees rather than overcrowding the venue due to lack of depth of thought!

Data allows us at Spalba to utilise the same space that would traditionally be used, and factor in the extra attendees and in turn factor that into the layouting to provide a better solution for the organizer that causes minimum inconvenience on the day of the event.

Data tells more about the attendees than they might know about themselves. If they attend similar kinds of events and that forms a pattern, it can be safe to say that they will be more likely to be receptive to similar kinds of events and enough data can show exactly what kind of topics he would be interested in too.

When we are hosting an event, and people need to be invited, knowing the patterns will come in handy as it provides information about who has a higher probability of attending and boosting the value of the event rather than just their “interest in technology”

A 5-minute survey with just MCQs is enough to form an attendee profile, from a curation perspective, which allows for better curated content for each attendee rather than a generalised package for everyone, something which might not be well appreciated compared to the personalisation.

A survey allows us to gather insights into the attendees about specific data points, which in-turn allows us to curate a highly tailored experience in terms of the event experience and also in terms of each particular attendee’s experience.




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data storage statistics analysis Spalba

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