The case for leveraging Steemit data - The bottom line

" In God we Trust; all others must bring data " - Williams Edward Deming

Lots of data is produced everyday by Steemit users. The pure value of this data if continually ignored is in the long run not best utilized. With this much data, we get to be overwhelmed by the speed and amount that keeps coming in almost every other second. What insights can we then gain from this resource? Does the block chain guarantee quality data? How can users use these insights to improve the content they share with the community? Most of this data is behavioral and can guide those who want to target a particular set of consumers or readers. How effective this can be is a story for another day.

The depths to which we can go with such data cannot be understated. I touch a few ways we can be able to harness the power of this data to better improve the platform.

Content creators can easily Identify trends and most importantly the most popular trends. The tags associated with each trend can be closely monitored to gauge the numerous ways in which to target the right users

Forecasting should actually be at the top of the pile but still placing it at this point does not water down its importance. Critical insights from the forecasts can enable curators but most importantly developers to see which features to adopt and better plan for increased numbers and interactions in future cases

Improve platform services from the indirect feedback generated from the data insights can better place Steemit ahead of any competition (if any). Some interventions can enable developers deliver a better product for the community and its content creators.

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Why block chain data?

This technology can permanently record all transactions and interactions, providing an unalterable record for all stakeholders. The quality of this data is much better than the data that isn’t based on the block chain since we cannot guarantee its safety. However, we still do not discount the fact that security if compromised renders the collected data useless.