The Changing BI Paradigm and What is Required of BI Vendors
Watch this video to learn how the entire BI paradigm is changing and what this means for BI vendors.
For software vendors, the changing BI paradigm means that time to analytics becomes a metric that application developers should measure themselves against. How long does it take someone to get value from his or her data? Because the lines have blurred between producers and consumers, the lines between the exploratory and consumption models have blurred as well. Producers are data explorers and so are consumers, albeit with less technical background. Now there’s a partnership with one goal: to produce more value for the business.
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.
Time to Analytics
So, as application developers and application vendors, software vendors in general, the things that we should measure ourselves on will be time to analytic, how long does it take for somebody to get started, how long does it take for them to actually get some value out of the data, how long does it take for them to get comfortable enough with the data so that they can actually make it their own and share it with others and feel proud about what they're sharing. And so, that is what software vendors have to rate themselves on in this new modern BI world.
Data Explorers not Report Builders
If you think about producers in the modern BI world, in still this consumption type of paradigm, we're now looking not necessarily at BI authors but we're looking at data explorers because these people are not going to spend their time on small little formats and then move things around and making everything pixel perfect, but they're gonna make sure that they can provide to their consumers--because remember, the consumers can interact themselves -- they will provide a set of dashboards, a set of starting points for analysis, if you will, and make sure that the right amount of data is available, that the data accuracy is there, that the data security is in place and let the consumers then work with that data and the dashboards and then analyze on their own. So, that's how we're changing the paradigm of the data producers, of the data explorers in the consumption world.
Lines Blur Between BI Producers and Consumers
In a modern exploratory type of model for BI, the lines between producers and consumers are a little blurry because both producers and consumers in this kind of a model are analysts who are very savvy with their data, and so you can think of them as data analysts and advanced data analysts. And so there's one scale of analysts who are really, again, working with the data architects. They themselves might be data architects who are not just architecting the data and the structures but also analyzing and then actually finding the insights in the data. And then these people might be making sure that the right schemas are in place, the right structures are in place, the right abstractions have been put on top of data storing, whether that's Hadoop or other big data sources, search based sources, streaming sources, what have you, and making sure that then the analysts can come in with the right security in place and look at the data that they have access to seeing, analyze it, produce the insights, share it with other explorers and analysts like themselves, and then the cycle kind of keeps going.
The Challenge for Data Architects
So, the challenge for a data architect in this modern BI world is to make sure that they're making their data layers flexible enough for these kinds of producers and consumers who are savvy definitely in the exploratory type of paradigm to work with the data that they have, to put different structures on them, to combine different datas, to create more views of the data that is more suitable for that type of analysis that they want to do.
And so, it's more for partnership between the data architects, the data analysts, whether they are the producers or the consumers, and making sure that, ultimately, everybody is driven towards value creation from data for the business.
Now, if you think back to the traditional BI world, we have the concept of the BI authors, and to be honest, for many organizations, BI authors are now challenged in trying to figure out how they make themselves relevant, right? It's probably time for them to learn some new tricks.