Sunday, September 23, 2012
Social Media Adventure Update
I posted two video blogs - I think I'm going to like that the best. I have re-energized my vision for direct marketing and I will be speaking ad ECMOD in London the last week of November.
If we have not yet met, feel free to follow, connect, retweet or whatever. Hopefully I will be speaking near you and we can grab a cup of coffee. In the meantime, if you have a topic you'd like to discuss, comment and lets start a conversation. As you can see (below) I'm starting to get how to make it easier for you to connect.
In the next few weeks, I'm hoping to convert my book, Spinning Straw Into Gold into both a Kindle version and an audio book. I've built my first facebook app and will be attempting to create a viral system to get you lots of cool offers. I'm not sure of the business benefit of facebook and google+ so I'm tip-toeing into those with my main focus going to Twitter and Linked-In.
@JRMigs twitter bio
my website
my linked-in public page
linked-in business page
Thursday, August 23, 2012
The Structure of #BIGdata
Enjoy a new 6 minute introduction to #BIGdata by @JRMigs
"Back when I started, not only didn't we have #BIGdata, we had to convince our clients that they might want to save more than basic address information. Lets start piling it up and we'll figure out what to do with it later. If you, knowing all you know about you, can barely predict what YOU will do... how can I, as a predictive modeler, knowing almost nothing about you, expect to predict you? What is the difference between HARDdata and SOFTdata?
Wednesday, August 22, 2012
Why don't Marketers decide better?
Great article, especially the part about a team... keeping bright shiny objects out of view... :). The truth is that good use of data does require more than one type of brain. We have very very careful people in charge of loading and processing data, clever systems people who write very very fast procedures to generate hundreds of variables and oh, there is that weird wizard-type guy who we rarely take out in the daylight (me). Data is not self-revealing, even with validation, noise and correlation can be confused - and causality is never really in there. As Dr. Ed Lemer, UCLA, http://bit.ly/O6RXNh said to me, "You don't violate statistical principles, you have a higher standard... that it makes sense." And almost none of the computers I have know, could tell me what would sell. Until we get that built into our use of #BigData, there will still be that strange alchemy of science and magic that makes marketing the fun that it is. bit.ly/McLWsp @JRMigs
Another interesting related article. "True direct marketing offers the greatest opportunity to attain marketing certainty, but only if you test. Until we reclaim that message, we’re just another piece of the ad mix. And without testing, we’re not nearly the most important piece."
Tuesday, July 10, 2012
How Valuable is Your #BIGData?
From "Spinning Straw Into Gold" by John Miglautsch @JRMigs
I don’t know much about straw so I called my friend at the local feed mill (like the miller). “The first thing you must know about straw” he told me, “straw is NOT hay.” Hay is made from the green grass that they cut through the summer. “Hay goes into an animal, nourishes it, feeds it. Straw is what goes under the animal and catches what comes out of the animal.”
Straw is a byproduct of wheat, you cut the grain off the top and the stalk that is left is almost worthless. It is used as a cleaning product.
You have to understand that like straw, most of your precious data is worthless - straw.
This is fundamental.
If you get nothing else out of this, understand this.
Your data is mostly worthless.
If you can face that, you are far ahead of your competition in turning data into money.
The continuation of this point is available on a new post on MigMar.com @JRMigs