0 Comments
Lessons from a Summer Neophyte
My summer internship comes to a close today. It has been a tumultuous and exciting past 10 weeks, and I couldn’t be more grateful to Aprimo for giving me the opportunity to glean information from them as I progress in my studies. I want to take a few minutes to share with everyone 5 or 6 lessons I’ve learned this summer. Through the travesties and victories, from the impersonal to the personal, my hope is that at least one my points will serve as forewarnings and expectations for future neophytes.
1) After 10 weeks, I’m still a neophyte. What’s between my ears is considered a brain, but what I truly know is infinitesimally small compared to everyone else. Nonetheless, I hope my hunger for knowledge will never be satiated. I will always be a neophyte.
2) Thank God for Aprimo software. Proving ROI and breaking down silos within marketing is much, much, much harder than I ever imagined. Our leaders and our software programmers deserve flowers.
3) Marketing is much more than the 4P theory of price, product, promotion, and place.
4) Marketing is not much more than some hard work, common sense, and creative ideas.
5) Prediction number 1: I bet I could make a lot of money if I copywrite the phrase “Spam SMS Text Messaging”. Mobile marketing will become the next big thing in the marketing space.
6) Prediction number 2: Customers will love Spam SMS Text Messaging. It’s not considered spam if the message is personal, directed, and relevant, which is exactly what mobile marketing delivers.
While the summer does to come to a close, my internship has been extended part-time through December. Thus, for all my avid fans who anxiously await my new pieces, I will continue to entertain (or bore) at least through December. I will be on vacation next week, but stay tuned. In the words of Arnold, “I’ll be back”. To all my Aprimo friends and other strangers I have met on this summer journey, thank you. It has been a splendid summer stint, and I cannot wait to continue the marketing revolution with you.










Some data mining applications will automatically do this for you. It's like a bread machine where you put in all the ingredients -- they automatically get mixed, the bread rises, bakes, and is ready for consumption! Some notable companies that do this include KXEN, SAS, and SPSS. Even if you take the automated approach, it's helpful to understand what kinds of things are done to the data prior to model building.


