In Podcasts

Have you ever stayed out too late and then had to show up at work the next morning looking and sounding bright and chipper like everything is fine? According to science, there are a few tactics that will help you look and feel better in that situation – and help get you through the day.

Then, what’s the best way to deal with a bad boss? Here to discuss that is Liz Dolan. She is the former Chief Marketing Officer for NIKE, The Oprah Winfrey Networks and National Geographic and she is the co-host of a new podcast called, “I Hate My Boss.” (https://itunes.apple.com/us/podcast/i-hate-my-boss/id1148704291?mt=2). Liz explores how to deal with a boss in such a way that it doesn’t drive you crazy and so your boss doesn’t get in the way of your success.

Perhaps you have heard of Big Data. Well there is also something called “Small Data.” And small data is a big deal according to Martin Lindstrom who is considered to be one of the world’s top brand-building experts. He is author of the New York Times best seller, Small Data (http://amzn.to/2n64AkK) and he is going to explain how Small Data works, how you collect and interpret this data and how it has helped many organizations focus their marketing better. In fact, small data brought LEGO from the brink of bankruptcy to becoming the number one brand in the entire world.

Finally, when I say, “Chinese food take-out container,” you know exactly what I mean. It is that small cardboard box with the metal handle that all Chinese food is packed in. It is actually an engineering marvel. It is one piece of cardboard folded in such a way as to be leak-proof. And yet there is nothing Chinese about it and it is not used in China at all. It is a fascinating story worth hearing.

You know it’s easier if you subscribe – then the podcasts come to you! Please go to iTunes and subscribe, rate and review the podcast on iTunes. Here is the link: https://itunes.apple.com/us/podcast/something-you-should-know/id1150124880

liz-dolan
Liz Dolan
ihatemybosspodcast
martin-lindstrom
Martin Lindstrom
small-data
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