Producers and Consumers of Analytics in Traditional BI Exploratory Models
Watch this video to see how producer and consumer roles change in the exploratory model of traditional BI.
In the exploratory -- or ad hoc -- model for traditional BI, producers would still be report authors. But they would work with database architects to fine tune databases and develop “prompted” reports that allowed consumers to answer a series of questions about what needed to be queried: timeframe, geography, department, etc. Consumers were domain experts with more experience using BI tools. They had the patience to build queries and wait for a response. They were more likely managers, not front-line decision makers.
I'm Anurag Tandon, VP of Product Management at Zoomdata. I've spent about 18 years in the BI and analytics space. I’m here to talk about BI personalities in the modern BI age.
Producers Develop Ad Hoc Analytics
In the exploratory model, we had producers which are pretty much the same, BI authors, but this time, they would be thinking about ad hoc type of analytics or structured ad hoc that they would provide to their consumers, in which case they would be working with data architects to figure out is my data in the right format or in the right structure, are the right optimizations in place so that when structured ad hoc queries are hitting that data that I'm gonna hit the right induces and that I'm going to utilize the cubes that have been put together and so on and so forth.
And so, for the producers in the exploratory paradigm, they would produce these highly parameterized and prompted workflow based reporting that then, if you think about the consumers in that kind of paradigm, would basically be walking through those questions and answering the questions and then waiting for the response.
Analytics Consumers Move to the Back Office
So, for the consumers, if you switch gears to the consumer side, and we're still talking about traditional BI---the consumers in this case were less on the front line. They were more people who liked to analyze data maybe in the back office. Maybe they're on the front line, but they're managers instead of the front line executives. Maybe they are, they were more patient with waiting for the response, answering the questions in the right sequence and then waiting for a response to come back and then analyzing it again. They were more patient with that, but they were also more savvy with the tools in place - less so for the front line executives, the consumers in the more consumption type of model.