We are discussing about Multi Genre Advanced Analytics (TM) in this post. Multi Genre Advanced Analytics (TM) is a postmodern development where seemingly subjective art & multi-faceted approach substitutes the past pursuit of rigid utopian explanation of problems and solutions with a handful scalable techniques.
Multi Genre Advanced Analytics (TM) is way to approach a business problem with a myriad of analytic approaches to express insights. The approach mixes Data Science and Art to bring the insight to the business and communicate that in many dimensions - obviously to increase the understanding of the problem and to pursue further discovery objectives. The key thing to this approach is the ease with which you can combine multiple approaches or algorithms seamlessly. In other words, we don't try to stereotype a problem with known problems and solutions learnt from school, instead go at it like a child with a creative approach keeping it scientific, measurable & repeatable ...
A few ideas characterize Multi Genre Advanced Analytics:
"Multi Genre minimizes metanarratives ... "
There is a churn problem. Traditional way to do it is 'logistic regression' even on big data. Logistic regression requires feature selection and analysts typically go through some variable elimination process such as dimension reduction to keep it tractable.Multi Genre Approach:
While seemingly unstructured or unconventional way of doing analytics, multi-genre analytic approaches can unravel hidden structures in your data in an explainable way and as the analyst wishes to approach it. Not only that, it's effective and more precise and personalized than traditional approach. This is primarily due to variety that exposes disconnects in understanding of the problem!Other examples include system part failure using a combination of Symbolic Aggregate Approximation and Text Analytics, Finding non-compliant users using Graph, Text, Trade patterns and Email meta data. The list is endless. KDD & Kaggle Competitions also use ensemble techniques as opposed to picking one winning algorithm which are one of the cool examples of the brave new approach.
A talented few, versatile with command line and deep algorithms can do it in any platform - kind of. For the rest of us who want to keep an eye on the forest, there are a couple of requirements:
This is exactly where platforms like Teradata Aster can help in closing the gaps. Check out aster-community.teradata.com for more ...
Also link to Teradata's Art of Analytics gallery that demonstrates the solutions for varied problems using a multi genre approach - algorithms & visualizations using the Teradata Aster technology - emphasis is on visualizations.
Simplest example is iPhone/Android vs an Old Cell phone. Every phone is individualized and personalized with a smart phone. Every user decides the experience in some way ... With the old regular phone, everyone's usage is limited because of the way the solution is offered to them.
For further edification, I'd google 'postmodernism' - there is plenty of other examples ..
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