WEBVTT - McCormick-Reckitt Could Be Kraft-Heinz's Worst Nightmare, Flickinger Says

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<v Speaker 1>Welcome to the Bloomberg P and L Podcast. I'm Pim

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<v Speaker 1>Fox along with my co host Lisa Abramowitz. Each day

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<v Speaker 1>we bring you the most important, noteworthy, and useful interviews

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<v Speaker 1>for you and your money, whether you're at the grocery

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<v Speaker 1>store or the trading floor. Find the Bloomberg P and

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<v Speaker 1>L Podcast on Apple Podcasts, SoundCloud and Bloomberg dot Com. Well,

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<v Speaker 1>we want to talk about one of the biggest deals

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<v Speaker 1>in the food service and the food industry because there's

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<v Speaker 1>distribution that may be involved, and to help us understand

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<v Speaker 1>what's going on, We've got Bert Flickinger. And Bert, of

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<v Speaker 1>course is an expert when it comes to retail. He's

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<v Speaker 1>the managing director at Strategic Resource Group. Bert tell us

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<v Speaker 1>about the companies involved, admonished me for how poorly I

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<v Speaker 1>pronounced their names, and uh tell us about who the

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<v Speaker 1>protagonists are Uhi. This this will be If McCormick is

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<v Speaker 1>able to buy Record Record ben Kaiser Food division, which

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<v Speaker 1>the crown jewels are French As Mustard and Frank's Hot Sauce,

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<v Speaker 1>there will be one of the great acquisitions in the

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<v Speaker 1>last fifteen years. Fast footnote. I've worked with mccormicks CEO

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<v Speaker 1>Frank Curzy is since I started at zat Iran sleepy

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<v Speaker 1>little New Orleans brand for years with Steve's eighties Millenn

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<v Speaker 1>Pollock and colleagues at IPG. Lawrence and his team takes

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<v Speaker 1>at Iran's from multi regional to national to international, and

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<v Speaker 1>McCormick has done a lot of great things with with

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<v Speaker 1>mayonnaise obviously spices, but with what they can do with

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<v Speaker 1>Frank's hot sauce and UH taking French as mustard from

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<v Speaker 1>UH distant almost non entity in major markets to a powerhouse.

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<v Speaker 1>It's gonna be Kraft Heinz's worst nightmare. And it's people

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<v Speaker 1>say it's overpaying, their underpaying that that's that's bold. And

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<v Speaker 1>you say the people say that they're overpaying, I want

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<v Speaker 1>to home in on that because they are paying four

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<v Speaker 1>point two billion dollars for record UH Right now, McCormick

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<v Speaker 1>shares down about five and a half percent, So indeed,

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<v Speaker 1>shareholders do not think UH that they're going to UH

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<v Speaker 1>compete with Kraft Heinz perhaps in the same level that

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<v Speaker 1>you do. What gives you faith that you're right in

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<v Speaker 1>the market's wrong. Because Laurence Lawrence Curzy has has been

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<v Speaker 1>a brilliant brand builder and marketers his whole life. Lisa,

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<v Speaker 1>see you look at French as um, you know, good

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<v Speaker 1>good brand in Rochester where Wegmans is, but really hasn't

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<v Speaker 1>achieved size and scale anywhere else. Lawrence Uh and other

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<v Speaker 1>than the northeast, and Lawrence Curzy is will will make

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<v Speaker 1>French as a power brand. All right, hang on, hang

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<v Speaker 1>on Bird, hang on, that's all in the future. Can

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<v Speaker 1>you just explain to me a little bit about the

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<v Speaker 1>stock because at one time, I mean, this was just

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<v Speaker 1>you know, a hundred and five bucks of share and

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<v Speaker 1>the McCormick I mean, and unless I'm reading it wrong,

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<v Speaker 1>I mean it has not been a pretty ride down

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<v Speaker 1>to nine. Full disclosure, Pim. I've I've been a McCormick

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<v Speaker 1>shareholder halfway to forever and I'm ecstatic about the deal.

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<v Speaker 1>I've seen the stock drop in recent years as low

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<v Speaker 1>as sixty eight. But mc McCormick needs more size and

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<v Speaker 1>scale record Ben Kaiser never had. At the combination of

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<v Speaker 1>the two companies gives it. Uh provides that size and scale,

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<v Speaker 1>and they'll help the retailers profitably grow the sales in

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<v Speaker 1>the departments and with the consumers, particularly millennials there in

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<v Speaker 1>the sweet spot of categories that will take it from

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<v Speaker 1>a routine category to a growth what the f Stein

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<v Speaker 1>calls expandable consumption that the more people buy, they'll quickly

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<v Speaker 1>consume it and and buy more. So you're you're portraying

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<v Speaker 1>a world where just a wash in mustard and hot sauce,

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<v Speaker 1>as well as perhaps some allspice. You know, I have

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<v Speaker 1>to wonder given the fact that grocery chains have had

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<v Speaker 1>quite a bit of trouble, given the depressed pricing on

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<v Speaker 1>commodities on different food staples, as well as distribution challenges,

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<v Speaker 1>right because we have Amazon buying whole foods, you know,

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<v Speaker 1>how does this play into that and what challenges do

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<v Speaker 1>they face that may uh you know, be a little

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<v Speaker 1>bit more complicated than past challenges. Lisa, to your present points,

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<v Speaker 1>let the key retailers in Texas or the fastest growing

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<v Speaker 1>selling the Latino, African, American and Caucasian and Asian communities

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<v Speaker 1>answer your question. McCormick's Mayonnaise is one of the fastest

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<v Speaker 1>growing mayonnaisees uh craft both for miracle whip and craft

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<v Speaker 1>mayonnaisees uh cut quality and being able to do a

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<v Speaker 1>combination of mayo in In addition to spice product all

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<v Speaker 1>the way across salet, snacks, condiments, uh, pickles, a lot

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<v Speaker 1>of other things that McCormick can move quickly on. Retailers

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<v Speaker 1>want this, They're excited about it. Consumer consumers will be

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<v Speaker 1>very all right, hang on, hang on, hang on, let

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<v Speaker 1>me ask, let me just let let let's just get

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<v Speaker 1>your your detail. On another topic, I happen to do

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<v Speaker 1>with Lawrence Curtis, right, he is the chief executive of McCormick.

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<v Speaker 1>But he hasn't been in that role for very long,

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<v Speaker 1>or has he. He's he's been for a few fist goals,

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<v Speaker 1>and but Lawrence was in charge of marketing, uh, president

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<v Speaker 1>and CEO for a long time. Okay, So this is

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<v Speaker 1>something that that that a veteran because if he is

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<v Speaker 1>a veteran of McCormick, I mean he's spent many many

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<v Speaker 1>years there. Uh yeah, PIM and LI. So you could,

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<v Speaker 1>you could, You can take any CpG company nationally internationally.

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<v Speaker 1>Lawrence is one of the best marketers, executive leaders, and

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<v Speaker 1>business builders anywhere any country. He can make this work.

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<v Speaker 1>I sorry, can he make this deal work? Because I mean,

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<v Speaker 1>right now you have a situation where their stock is

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<v Speaker 1>down five and a McCormick stock is down five and

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<v Speaker 1>a half percent. The record stock is up about one uh.

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<v Speaker 1>And you know, you look at that chart of McCormick,

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<v Speaker 1>it's not good by one. Courtys should make it. Make

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<v Speaker 1>it work too. This will be this will be a

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<v Speaker 1>stock even in an overvalued market. Uh. There will be

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<v Speaker 1>up in two years. And it's an individual investor, I'd

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<v Speaker 1>be buying more. And I don't say that lightly because

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<v Speaker 1>there are very few stocks that that I'd recommend at

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<v Speaker 1>this point. All right, Bert Flickinger is absolutely bullish on

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<v Speaker 1>McCormack after this acquisition. Shareholders not so much right now,

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<v Speaker 1>but we'll see if they joined Burnt in his enthusiasm

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<v Speaker 1>for hot sauce and Mannise. Bert flickinjer managing director at

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<v Speaker 1>Strategic Resource Group, coming to us on the phone. This

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<v Speaker 1>is the era of data that just is more and

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<v Speaker 1>more of it being churned out by huge companies. You're

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<v Speaker 1>talking from Amazon to Google to IBM uh and it's

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<v Speaker 1>getting more tricky to stored. All enter company called Looker,

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<v Speaker 1>which is trying to assemble data from the variety of

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<v Speaker 1>different places that companies have stored uh stored it without

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<v Speaker 1>having to extract it from those platforms to give us

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<v Speaker 1>more of a sense of what really this means, because

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<v Speaker 1>I'm sure I butchered it. Frank b. N He is

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<v Speaker 1>chief executive officer of Looker, which is based in Santa Cruz, California,

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<v Speaker 1>and also joining us as man Deep Singh industry analysts

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<v Speaker 1>at Bloomberg Intelligence, who's based Who's in Chicago today? Frank,

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<v Speaker 1>did I totally butcher that? Can you explain a little

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<v Speaker 1>bit better what it is that Looker is seeking to accomplish? Sure?

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<v Speaker 1>Thanks a lot, I appreciate you having me on this morning. Um. Yeah,

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<v Speaker 1>you know, look, there's a software product, I mean where

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<v Speaker 1>a software as a service cloud product that helps companies.

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<v Speaker 1>Think of it as putting data into the hands of

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<v Speaker 1>everyone to make better decisions. You know, in the past,

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<v Speaker 1>I think we served the c suite, or we we

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<v Speaker 1>gave data to the CFO, or we gave data to

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<v Speaker 1>the important people. And now what we're seeing is we're

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<v Speaker 1>seeing companies who are who are disrupting their industries really

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<v Speaker 1>put data into the hands of everyone so they can

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<v Speaker 1>make better decisions. And and I mean we're doing like

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<v Speaker 1>you said, we're doing it at interesting companies, you know,

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<v Speaker 1>places like Amazon or the Economist or Sony Gaming, you know,

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<v Speaker 1>Blue Apron, Twilio. So so it's the companies who are

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<v Speaker 1>disrupting on data or finding if they if they give,

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<v Speaker 1>if they give better information to the people in their

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<v Speaker 1>organizations to make better decisions that they can they can

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<v Speaker 1>actually you know, work more on on you know, fact

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<v Speaker 1>rather than just intuition. Man Deep maybe just explained to

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<v Speaker 1>us exactly where this fits in and what kind of

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<v Speaker 1>growth the industry is seeing. We think bi analytics is

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<v Speaker 1>about a fifteen to twenty billion dollar market growing at

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<v Speaker 1>ten percent, and part of the growth, like Frank said,

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<v Speaker 1>is coming from this wave around a self service analytics

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<v Speaker 1>where companies are now letting their line of business users

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<v Speaker 1>to leverage analytics and really do it on their own

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<v Speaker 1>raw than giving it to an I T. Department to

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<v Speaker 1>crank out reports. So that has really driven the market

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<v Speaker 1>and I think it's it's there's a lot of upside

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<v Speaker 1>to you know, just the growth Outlook, Frank, I'm trying

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<v Speaker 1>to wrap my head around what exactly it means to

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<v Speaker 1>give the consumer, the little guy, uh, the access to

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<v Speaker 1>leverage data. Does that mean when somebody is looking up

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<v Speaker 1>their Twitter statistics to find out how many of their

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<v Speaker 1>users are fake or does it mean, uh, they can

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<v Speaker 1>use Amazon data that they've accumulated to give them a

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<v Speaker 1>personality profile of themselves. Yeah. It. You know, it doesn't

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<v Speaker 1>even have to be that complex. You know, companies you

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<v Speaker 1>know are operating, you know, with lots of systems. You know,

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<v Speaker 1>they have customer support systems, and they have finance systems,

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<v Speaker 1>and they have all of these things. But think think

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<v Speaker 1>if I'm just a customer support person on the phone

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<v Speaker 1>and I'm helping I'm helping people every day, I want

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<v Speaker 1>to have access to exactly what's happening. I want to

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<v Speaker 1>have access is the person I'm talking to? Are they

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<v Speaker 1>not paying their bills? Are they behind? Are they you know,

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<v Speaker 1>have they filed a lot of customer support tickets? What's

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<v Speaker 1>their overall health? How should I be you know, kind

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<v Speaker 1>of thinking about it when I'm talking to them in

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<v Speaker 1>real time, you know, at that moment. And I think,

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<v Speaker 1>you know, data has done well to serve the big

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<v Speaker 1>science projects that you mentioned, you know, like what's happening

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<v Speaker 1>on Twitter things like that, but it hasn't really been democratized, right,

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<v Speaker 1>It hasn't really been put into the hands of everybody,

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<v Speaker 1>and what we're trying to do a looker is put

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<v Speaker 1>it into the hands of everybody, like those customer support

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<v Speaker 1>people or or people on the warehouse floor taking pictures

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<v Speaker 1>of merchandise. How are those pictures, you know, performing on

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<v Speaker 1>the web really put it in the hands of everyone

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<v Speaker 1>so they can they can you know, make better decisions

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<v Speaker 1>every day. Frank, there's a tension here because on one level,

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<v Speaker 1>it's important to have a certain democratization of information, and

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<v Speaker 1>on the other hand there's some pretty big privacy concerns

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<v Speaker 1>that this race is as well. How do you address that? Yeah,

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<v Speaker 1>that's an interesting question. So data has been really decentralized,

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<v Speaker 1>and there's been this proliferation of lots of like spreadsheet

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<v Speaker 1>tools and workbook tools and and things that people carry

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<v Speaker 1>around on their on their laptops. And that's a big

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<v Speaker 1>security problem because you know, people go around with patient, private,

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<v Speaker 1>private information on their laptops or things like that because

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<v Speaker 1>they're downloading these spreadsheets. And what we're trying to do

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<v Speaker 1>and look or is sort of bring control over all

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<v Speaker 1>of that so that there's this single source of truth,

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<v Speaker 1>but it's also managed and governed in their security around

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<v Speaker 1>and I think that is a huge issue because we've

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<v Speaker 1>really been suffering over the last ten years of a

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<v Speaker 1>proliferation of small tools that let people walk around with

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<v Speaker 1>stuff on on their desktops and laptops. Tell us about

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<v Speaker 1>this language that you've developed, and why people should now

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<v Speaker 1>go and have to learn another computer language, not more

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<v Speaker 1>middleware please. Yeah, no, we're not. We're not, you know,

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<v Speaker 1>saying that that business users would learn any kind of

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<v Speaker 1>data language. But but you know, people coming out of

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<v Speaker 1>school today who want to get into tech are often

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<v Speaker 1>looking at data as a career. And you know, you

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<v Speaker 1>have a lot of people are majoring in economics or

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<v Speaker 1>business and and they're doing data stuff. It's one of

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<v Speaker 1>the fastest growing career paths. Yeah, you end up taking

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<v Speaker 1>that sequel server course right exactly. And what we want

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<v Speaker 1>to do is we want to give those people interesting

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<v Speaker 1>tools so they can better serve their companies. So the

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<v Speaker 1>people in the company and the support team or the

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<v Speaker 1>you know, the warehouse, they're not you know, learning a

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<v Speaker 1>data language by any means. But we're sort of leveraging

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<v Speaker 1>these people who are coming out of school with a

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<v Speaker 1>bit of data background and allowing them to curate an experience, right,

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<v Speaker 1>curate you know, a better application for those for those

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<v Speaker 1>end business users, Man Deep, what's the barrier to entry here?

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<v Speaker 1>Why aren't some of the behemoth tech companies coming up

0:12:59.559 --> 0:13:03.120
<v Speaker 1>with their own analytics systems and UH and using them

0:13:03.240 --> 0:13:07.000
<v Speaker 1>to democratize their offerings. I think right now, this is

0:13:07.160 --> 0:13:10.360
<v Speaker 1>coming up bottom up, So you're you're seeing a lot

0:13:10.400 --> 0:13:13.320
<v Speaker 1>of the startups, I mean a Tableau and Click are

0:13:13.360 --> 0:13:17.000
<v Speaker 1>not startups anymore. But they really came up with a

0:13:17.040 --> 0:13:20.280
<v Speaker 1>new way to think outside of the data warehouse realm.

0:13:20.480 --> 0:13:23.000
<v Speaker 1>So a lot of this kind of functionality was done

0:13:23.000 --> 0:13:26.600
<v Speaker 1>in a dataware housing platform. What these guys did was

0:13:27.040 --> 0:13:30.480
<v Speaker 1>came up with this self service analytics platform where, like

0:13:30.640 --> 0:13:35.199
<v Speaker 1>Frank said, you you can have the users crankout reports,

0:13:35.280 --> 0:13:38.800
<v Speaker 1>analyzed the data. And this whole proliferation of cloud and

0:13:38.920 --> 0:13:43.640
<v Speaker 1>AI is actually a tail wind for for this analytics wave.

0:13:43.760 --> 0:13:47.240
<v Speaker 1>So the large behemoths are still catching up, you know,

0:13:47.480 --> 0:13:51.080
<v Speaker 1>just integrating the new technologies, and they haven't really focused

0:13:51.080 --> 0:13:54.040
<v Speaker 1>on the analytics aspect that much. Man Deep, can you

0:13:54.080 --> 0:13:57.520
<v Speaker 1>just give us a little more detail about artificial intelligence?

0:13:57.559 --> 0:14:01.200
<v Speaker 1>Give you about thirty seconds here, sure, So AI is

0:14:01.320 --> 0:14:05.600
<v Speaker 1>really coming together in the sense that the basis of

0:14:06.120 --> 0:14:10.400
<v Speaker 1>performing AI analytics is data and once you have data

0:14:10.440 --> 0:14:14.000
<v Speaker 1>aggregated and you can process it in real time through cloud,

0:14:14.400 --> 0:14:17.400
<v Speaker 1>it enables a lot of things in terms of doing

0:14:17.440 --> 0:14:20.360
<v Speaker 1>things real time, which can drive our o I for

0:14:20.440 --> 0:14:23.480
<v Speaker 1>a lot of industries. So that's really the genesis of

0:14:23.520 --> 0:14:26.360
<v Speaker 1>this wave of self service analytics. Frank, I'm only going

0:14:26.400 --> 0:14:30.120
<v Speaker 1>to give you ten seconds. Ai. Yeah, No, I think

0:14:30.120 --> 0:14:32.280
<v Speaker 1>that you know, we're finally starting to see, you know,

0:14:32.320 --> 0:14:35.360
<v Speaker 1>out of the benefit of the cloud platforms at Amazon

0:14:35.400 --> 0:14:37.880
<v Speaker 1>and Google and whatnot, the ability for everyone to be

0:14:38.040 --> 0:14:40.920
<v Speaker 1>like those organizations. And I think you'll see those kind

0:14:40.920 --> 0:14:43.480
<v Speaker 1>of technologies go into the hands of smaller you know,

0:14:43.720 --> 0:14:46.880
<v Speaker 1>or smaller companies. Thank you very much, Frank Bien. He

0:14:47.040 --> 0:14:49.640
<v Speaker 1>is the chief executive of Looker. They are based in

0:14:49.720 --> 0:14:52.600
<v Speaker 1>Santa Cruz and our thanks to man Deep Singh, industry

0:14:52.640 --> 0:15:09.240
<v Speaker 1>analysts for Bloomberg Intelligence. One of the biggest movers today

0:15:09.240 --> 0:15:13.120
<v Speaker 1>in the stock market is Scripts Networks Interactive, with a

0:15:13.240 --> 0:15:16.600
<v Speaker 1>gain in its shares of about fourteen and a half percent.

0:15:16.680 --> 0:15:20.520
<v Speaker 1>This comes after Discovery and via commercead to be talking

0:15:20.560 --> 0:15:24.000
<v Speaker 1>about combining with this network and just for anyone who

0:15:24.040 --> 0:15:28.240
<v Speaker 1>doesn't know, we're talking HDTV and food network. People want uh,

0:15:28.480 --> 0:15:31.760
<v Speaker 1>some some food throwdowns and some renovations of their homes.

0:15:31.760 --> 0:15:33.000
<v Speaker 1>Here to give us a little bit more of a

0:15:33.040 --> 0:15:35.840
<v Speaker 1>sense of how realistic a deal is is Alex Sherman,

0:15:35.920 --> 0:15:39.760
<v Speaker 1>Technology Media and Telecom Mergers and Acquisitions reporter for bloom

0:15:39.760 --> 0:15:43.120
<v Speaker 1>Brick News. Alex, do you think, first of all, who

0:15:43.120 --> 0:15:46.360
<v Speaker 1>do you think has the upper hand? Discovery or Viacom.

0:15:46.440 --> 0:15:49.640
<v Speaker 1>So this is a tricky one because I think there

0:15:49.640 --> 0:15:52.800
<v Speaker 1>are problems with both buyers um and that, and therefore,

0:15:52.920 --> 0:15:55.080
<v Speaker 1>while the market seems to be pretty confident that a

0:15:55.120 --> 0:15:57.600
<v Speaker 1>deal is going to happen here, I am less confident.

0:15:58.200 --> 0:16:00.680
<v Speaker 1>I can look, I reported this story, so I can

0:16:00.720 --> 0:16:03.480
<v Speaker 1>say that there is a sales process going on. But

0:16:03.560 --> 0:16:07.240
<v Speaker 1>Scripts has been perennially for sale. Three years ago. Discovery

0:16:07.240 --> 0:16:10.280
<v Speaker 1>almost bought Scripts and that deal fell apart. So there

0:16:10.360 --> 0:16:12.840
<v Speaker 1>is some logic there that Discovery is at least interested.

0:16:13.280 --> 0:16:15.640
<v Speaker 1>And Discovery has a lot of programming that is geared

0:16:15.640 --> 0:16:18.480
<v Speaker 1>towards men in general, and Scripts has a lot of

0:16:18.520 --> 0:16:21.320
<v Speaker 1>programming that is geared toward women in general. So there

0:16:21.360 --> 0:16:23.840
<v Speaker 1>there is sort of a natural fit there. But that

0:16:23.880 --> 0:16:26.880
<v Speaker 1>deal didn't get done for a reason, in part because

0:16:27.320 --> 0:16:31.000
<v Speaker 1>there was a bid ask difference. And now if if

0:16:31.080 --> 0:16:34.680
<v Speaker 1>Scripts is running a sales process, you'd imagine again Discovery

0:16:34.680 --> 0:16:37.200
<v Speaker 1>would have to pay up. And Discovery is controlled or

0:16:37.200 --> 0:16:39.960
<v Speaker 1>at least not quite controlled. But let's say thirty of

0:16:39.960 --> 0:16:42.600
<v Speaker 1>the votes are controlled by John Malone, who is not

0:16:42.760 --> 0:16:45.320
<v Speaker 1>known to bid up in auctions, So that is a

0:16:45.360 --> 0:16:48.880
<v Speaker 1>problem with Discovery. Viacom's problem is if you take a

0:16:48.880 --> 0:16:52.200
<v Speaker 1>look at Viacom shares, you don't You only have to

0:16:52.200 --> 0:16:55.360
<v Speaker 1>go back until about March or so when Viacom was

0:16:55.360 --> 0:16:57.960
<v Speaker 1>trading out about forty six dollars a share. They're now

0:16:58.000 --> 0:17:00.880
<v Speaker 1>trading at thirty six dollars a share. So any deal

0:17:00.920 --> 0:17:03.600
<v Speaker 1>with Viacom would probably be at least some component of

0:17:03.600 --> 0:17:05.920
<v Speaker 1>it would be stock, and they sort of missed their

0:17:06.040 --> 0:17:10.360
<v Speaker 1>chance to use their currency. Well uh, and now their

0:17:10.520 --> 0:17:13.640
<v Speaker 1>company is about fourteen fourteen and a half billion dollar

0:17:13.760 --> 0:17:17.879
<v Speaker 1>market cap company. Scripts is about let's say a nine

0:17:17.920 --> 0:17:21.200
<v Speaker 1>point eight nine point nine is almost ten billion dollar

0:17:21.280 --> 0:17:24.720
<v Speaker 1>market cap company. It would be a huge deal for Viacom,

0:17:24.960 --> 0:17:28.159
<v Speaker 1>and they wouldn't be using their stock at its high price,

0:17:28.320 --> 0:17:31.199
<v Speaker 1>So that's probably the problem with Viacom. They're just from

0:17:31.240 --> 0:17:34.640
<v Speaker 1>a financial standpoint, this would be an enormous bet. Viacom

0:17:34.680 --> 0:17:38.080
<v Speaker 1>almost merged with CBS. Is Scripts really the right bet?

0:17:38.280 --> 0:17:41.919
<v Speaker 1>I don't know. Doesn't this also lead to Sherry Redstone,

0:17:42.920 --> 0:17:45.720
<v Speaker 1>So there's control issues on both front to your point,

0:17:45.760 --> 0:17:49.800
<v Speaker 1>because say you need a genealogical assistant here, because there

0:17:49.800 --> 0:17:52.639
<v Speaker 1>are a lot of tangled right. So Summer Redstone is

0:17:52.640 --> 0:17:55.480
<v Speaker 1>still alive, but not the only family, right. But ya, exactly,

0:17:55.480 --> 0:17:57.480
<v Speaker 1>They're all run by families, which is, by the way,

0:17:57.520 --> 0:18:01.680
<v Speaker 1>a bigger reason, even beyond Viacom, why any of these

0:18:01.720 --> 0:18:04.439
<v Speaker 1>media deals haven't happened yet. So let me take a

0:18:04.480 --> 0:18:07.800
<v Speaker 1>step back here. All of these media companies probably should

0:18:07.800 --> 0:18:12.440
<v Speaker 1>consolidate with each other, and by all I mean a MC, Scripts, Discovery, Viacom.

0:18:12.480 --> 0:18:16.960
<v Speaker 1>They're all challenged right now because cable providers are offering

0:18:17.119 --> 0:18:20.399
<v Speaker 1>skinnier bundles where they for years and years and years,

0:18:20.640 --> 0:18:23.640
<v Speaker 1>these companies have done phenomenally well because when it came

0:18:23.640 --> 0:18:27.640
<v Speaker 1>time to negotiating contracts with the PayTV providers I mean

0:18:27.680 --> 0:18:30.880
<v Speaker 1>the Comcast, Direct TV, Dish Network, etcetera of the world,

0:18:30.880 --> 0:18:33.320
<v Speaker 1>how you get your TV. When it came down to

0:18:33.359 --> 0:18:36.960
<v Speaker 1>negotiating contracts with them, the deal was you either take

0:18:37.000 --> 0:18:40.639
<v Speaker 1>all of our channels or none. That is starting to

0:18:40.840 --> 0:18:44.960
<v Speaker 1>happen less and less these days because the leverage has

0:18:45.040 --> 0:18:48.000
<v Speaker 1>moved towards the PayTV providers who have basically said, we'll

0:18:48.000 --> 0:18:51.040
<v Speaker 1>take none and then what are you gonna do about it? Uh?

0:18:51.240 --> 0:18:53.080
<v Speaker 1>And the reason they're being that you can get a

0:18:53.080 --> 0:18:56.560
<v Speaker 1>lot of these programming, the taped programming in other ways.

0:18:56.600 --> 0:18:58.359
<v Speaker 1>You can get some on Netflix, you can get some

0:18:58.680 --> 0:19:01.520
<v Speaker 1>on Hulu. Uh. You know, I want to just go

0:19:01.560 --> 0:19:04.480
<v Speaker 1>a little bit broader. And when we're talking about h

0:19:04.560 --> 0:19:07.800
<v Speaker 1>g TV, we're talking reality television shows, and I'm wondering

0:19:08.080 --> 0:19:11.240
<v Speaker 1>how much their business model is being challenged by YouTube

0:19:11.400 --> 0:19:13.600
<v Speaker 1>and the fact that the barrier to entry has just

0:19:13.680 --> 0:19:16.840
<v Speaker 1>gone down so dramatically, So a lot of the programming

0:19:16.880 --> 0:19:19.440
<v Speaker 1>has been challenged. The programming that has not been challenged

0:19:19.520 --> 0:19:22.400
<v Speaker 1>is live programming because you can't get that on YouTube.

0:19:22.680 --> 0:19:26.800
<v Speaker 1>But Discovery and and viacommon scripts they don't have live programming.

0:19:27.000 --> 0:19:30.280
<v Speaker 1>So they are really in the crosshairs of how people

0:19:30.320 --> 0:19:34.560
<v Speaker 1>watch TV changing and and and it's it's not it's

0:19:34.680 --> 0:19:38.280
<v Speaker 1>it's not good for these companies, which is why theoretically

0:19:38.880 --> 0:19:42.879
<v Speaker 1>they could merge and then they could sort of have

0:19:43.000 --> 0:19:44.800
<v Speaker 1>a little bit more leverage because they could be like, well,

0:19:44.800 --> 0:19:48.240
<v Speaker 1>we have these three channels that are still good, like HDTV,

0:19:48.320 --> 0:19:50.359
<v Speaker 1>A lot of people still watch that. And you know,

0:19:50.400 --> 0:19:53.400
<v Speaker 1>Discovery has a few channels that people still watch. And yeah,

0:19:53.440 --> 0:19:55.240
<v Speaker 1>we have a bunch of these channels that nobody still watches.

0:19:55.280 --> 0:19:58.120
<v Speaker 1>But if we put our combined forces together, we come

0:19:58.160 --> 0:20:00.359
<v Speaker 1>up with a company that at least still has some average.

0:20:00.400 --> 0:20:02.959
<v Speaker 1>Of course, you end up then with a huge company

0:20:03.000 --> 0:20:06.280
<v Speaker 1>that has a lot of channels that nobody still watches too,

0:20:06.400 --> 0:20:09.000
<v Speaker 1>So this runs both ways, where yeah, they get a

0:20:09.000 --> 0:20:10.680
<v Speaker 1>little bit more leverage, But then what are you gonna

0:20:10.680 --> 0:20:14.399
<v Speaker 1>do with the fourteen channels that no one's watching anymore? Wow?

0:20:14.440 --> 0:20:17.200
<v Speaker 1>I don't know what I know. That is the challenge,

0:20:17.240 --> 0:20:19.040
<v Speaker 1>I guess. But but Alex, can you just do a

0:20:19.080 --> 0:20:21.879
<v Speaker 1>little family feud for us? I was on a family

0:20:21.880 --> 0:20:25.240
<v Speaker 1>feud by the way, like literally on family. But we

0:20:25.320 --> 0:20:28.879
<v Speaker 1>got to talk about that, all right, family, I love it, alright.

0:20:29.040 --> 0:20:31.639
<v Speaker 1>So did you get to meet Richard Dawson. It was

0:20:31.640 --> 0:20:35.320
<v Speaker 1>not Richard Dawson. It was Louis Anderson. I was not

0:20:35.400 --> 0:20:38.360
<v Speaker 1>kissed on the cheek by Richard Dawson. All right, So

0:20:39.080 --> 0:20:41.800
<v Speaker 1>who are the families involved here? So the families are

0:20:41.800 --> 0:20:45.320
<v Speaker 1>the Redstone family, runs Viacom. Sumner Redstone is still alive.

0:20:45.600 --> 0:20:48.760
<v Speaker 1>He's very ill. Sherry Redstone has basically been running the

0:20:48.760 --> 0:20:52.920
<v Speaker 1>company and in his stead for years now. Scripts is

0:20:52.960 --> 0:20:58.600
<v Speaker 1>also owned by a family, and it's the idea behind

0:20:59.280 --> 0:21:02.920
<v Speaker 1>whether or not Scripts would sell has always been like, well,

0:21:02.960 --> 0:21:05.040
<v Speaker 1>the family is on board if the price is right.

0:21:05.720 --> 0:21:08.840
<v Speaker 1>Discovery is owned by John Malone. A MC is owned

0:21:08.840 --> 0:21:14.240
<v Speaker 1>by the Dolan family. There are you know. CBS is

0:21:14.280 --> 0:21:17.040
<v Speaker 1>sort of a free radical. That's the Deaths John Malone's

0:21:17.119 --> 0:21:19.560
<v Speaker 1>term out there, but but only in the sense that

0:21:19.600 --> 0:21:22.439
<v Speaker 1>the Redstones of course controls CBS two. They're only a

0:21:22.480 --> 0:21:25.480
<v Speaker 1>free radical in the sense that less Moonvez maybe has

0:21:25.480 --> 0:21:28.439
<v Speaker 1>more control than than most CEOs with that company. So

0:21:28.720 --> 0:21:30.840
<v Speaker 1>some people think that CBS might be able to do

0:21:30.960 --> 0:21:34.480
<v Speaker 1>something on the pure force of less Moonvez, the CEO

0:21:34.560 --> 0:21:36.840
<v Speaker 1>of that company, even though he doesn't own it. So

0:21:36.920 --> 0:21:39.040
<v Speaker 1>each of these families is owned. Each of these companies

0:21:39.080 --> 0:21:42.240
<v Speaker 1>is owned by family, and yes they're publicly traded companies,

0:21:42.600 --> 0:21:45.399
<v Speaker 1>but whether or not they actually trade depends really on

0:21:45.440 --> 0:21:47.320
<v Speaker 1>whether or not the families want to keep owning the

0:21:47.359 --> 0:21:50.600
<v Speaker 1>company or whether they're game to do a deal. As always,

0:21:50.640 --> 0:21:53.120
<v Speaker 1>thank you very much, Alex Sherman. He is our mergers

0:21:53.119 --> 0:22:08.080
<v Speaker 1>and acquisitions reporter for Bloomberg. Well, I want to turn

0:22:08.160 --> 0:22:11.840
<v Speaker 1>to Ksey Matthews, an economist and the chief investment officer

0:22:11.960 --> 0:22:15.440
<v Speaker 1>for U m B Bank with the responsibility for over

0:22:15.480 --> 0:22:20.280
<v Speaker 1>eight billion dollars. They're based in Kansas City, and Casey Matthews,

0:22:20.280 --> 0:22:23.080
<v Speaker 1>thanks very much for coming into our Bloombrook studio. Good morning,

0:22:23.080 --> 0:22:25.800
<v Speaker 1>Good to see you. I'm wondering if you could. First

0:22:25.800 --> 0:22:29.199
<v Speaker 1>of all, I'm outgunned here because I understand that there

0:22:29.200 --> 0:22:32.800
<v Speaker 1>are two people in the studio who have connections to Wisconsin.

0:22:33.359 --> 0:22:37.520
<v Speaker 1>That's right, grew up just outside Milwaukee, Wisconsin, all right,

0:22:37.640 --> 0:22:42.199
<v Speaker 1>and Lisa Abrahmwitz. Come on. My mother's family is from Wiscon, Okay.

0:22:42.240 --> 0:22:44.960
<v Speaker 1>So that reason I ask is what is the view

0:22:45.080 --> 0:22:49.199
<v Speaker 1>of what is going on, not only with the politics

0:22:49.200 --> 0:22:54.040
<v Speaker 1>and song, but with money and people's relationship. What do

0:22:54.040 --> 0:22:57.159
<v Speaker 1>they think to feel confident that the stock market is

0:22:57.160 --> 0:23:00.439
<v Speaker 1>going to stay moving higher? Well, yeah, let me let

0:23:00.480 --> 0:23:02.560
<v Speaker 1>me start with maybe confidence in the business sector. I'm

0:23:02.600 --> 0:23:05.680
<v Speaker 1>more of a mackerel stage, and we'll get into the micro.

0:23:06.280 --> 0:23:08.560
<v Speaker 1>But it's interesting that when you look at some of

0:23:08.600 --> 0:23:12.720
<v Speaker 1>the surveys the n F I b small business optimism. Clearly,

0:23:12.960 --> 0:23:16.120
<v Speaker 1>business owners and executives feel good about things, but when

0:23:16.160 --> 0:23:17.960
<v Speaker 1>you ask them, what are you gonna do about it,

0:23:18.600 --> 0:23:21.119
<v Speaker 1>they're sitting on their hands because they're saying, tell me

0:23:21.160 --> 0:23:23.199
<v Speaker 1>what my tax rate is going to be, tell me

0:23:23.280 --> 0:23:25.760
<v Speaker 1>what my regulatory environment is going to be. So they

0:23:25.760 --> 0:23:28.359
<v Speaker 1>feel good that there's a light at the end of

0:23:28.359 --> 0:23:32.399
<v Speaker 1>the tunnel, but until they get some concrete evidence that

0:23:32.520 --> 0:23:36.000
<v Speaker 1>confidence the lack of uncertainty, they're not going to take

0:23:36.080 --> 0:23:39.520
<v Speaker 1>any action. And that's why you see a mediocre economy. Well,

0:23:39.560 --> 0:23:41.760
<v Speaker 1>you know, I'm interested in in the fact that you

0:23:41.760 --> 0:23:44.720
<v Speaker 1>start on this note because we were just talking about frankly,

0:23:44.960 --> 0:23:47.520
<v Speaker 1>how the bump that we've seen in stocks has been

0:23:47.800 --> 0:23:52.920
<v Speaker 1>less due to President Trump's election and the expected changes politically,

0:23:54.040 --> 0:23:57.200
<v Speaker 1>but more due to the earnings growth that we've seen

0:23:57.400 --> 0:24:00.960
<v Speaker 1>and the boom there. So it's sort of trusts with

0:24:01.000 --> 0:24:03.560
<v Speaker 1>this sitting on the hands wondering what's going to happen.

0:24:03.880 --> 0:24:07.520
<v Speaker 1>Mediocrity that you're describing when you're talking about the expected

0:24:07.560 --> 0:24:09.919
<v Speaker 1>eight percent growth that you are looking for in the

0:24:09.920 --> 0:24:12.960
<v Speaker 1>second quarter earnings and earnings growth in the second quarter,

0:24:13.000 --> 0:24:15.760
<v Speaker 1>that's right. Well, if you go you have to go

0:24:15.840 --> 0:24:18.080
<v Speaker 1>back to end of two thousand and fourteen, where we

0:24:18.080 --> 0:24:21.360
<v Speaker 1>saw an earnings recession. In corporate America, we had seven

0:24:21.480 --> 0:24:26.080
<v Speaker 1>quarters of earnings contraction. It's interesting the timing. It wasn't

0:24:26.160 --> 0:24:29.440
<v Speaker 1>until the third quarter of two thousand and sixteen when

0:24:29.480 --> 0:24:32.560
<v Speaker 1>we got the data, was middle of October through November.

0:24:32.800 --> 0:24:35.640
<v Speaker 1>The election, right, all of a sudden, we saw this

0:24:35.800 --> 0:24:39.320
<v Speaker 1>ray of sunshine. Earnings turned positive at whopping two percent

0:24:39.600 --> 0:24:41.399
<v Speaker 1>in the fourth quarter they were eight or nine the

0:24:41.440 --> 0:24:44.680
<v Speaker 1>first quarter of this year eighteen percent, and all of

0:24:44.720 --> 0:24:47.160
<v Speaker 1>a sudden, stocks moved and a lot of people label

0:24:47.200 --> 0:24:50.800
<v Speaker 1>at the Trump rally. Well, I call it an earnings rally.

0:24:50.840 --> 0:24:53.639
<v Speaker 1>So do you think that people are conflating the election

0:24:53.920 --> 0:24:56.840
<v Speaker 1>with the earnings growth that we saw really accelerate at

0:24:56.840 --> 0:25:00.720
<v Speaker 1>the beginning of the year. So just translate this into

0:25:01.080 --> 0:25:05.159
<v Speaker 1>market positioning. Does this mean that you are bullish on

0:25:05.520 --> 0:25:08.679
<v Speaker 1>US stocks? And if so, which sectors in particular? And

0:25:08.720 --> 0:25:11.920
<v Speaker 1>how much longer can this rally continue? Yeah, we are

0:25:12.080 --> 0:25:15.199
<v Speaker 1>bullish on stocks. Were overweight risk based assets for a

0:25:15.280 --> 0:25:19.280
<v Speaker 1>number of reasons. The macro data points to an improving economy.

0:25:19.320 --> 0:25:21.240
<v Speaker 1>One thing I look at is the I s M

0:25:21.400 --> 0:25:25.359
<v Speaker 1>new orders, very leading indicator when business owners and executives

0:25:25.400 --> 0:25:28.600
<v Speaker 1>tell me they're placing orders, it tells me their business

0:25:28.680 --> 0:25:31.760
<v Speaker 1>is good. Um, so we're at you know, two year

0:25:31.840 --> 0:25:35.399
<v Speaker 1>highs on those numbers. The bond market gives us clues

0:25:35.760 --> 0:25:37.480
<v Speaker 1>when you look at the shape of the yield curve.

0:25:37.560 --> 0:25:40.800
<v Speaker 1>We have at a ninety basis point a slope between

0:25:40.800 --> 0:25:44.520
<v Speaker 1>twos and tens. And typically when you start to see

0:25:44.520 --> 0:25:47.400
<v Speaker 1>the yield curve flatten, which we started to see. Even

0:25:47.440 --> 0:25:50.920
<v Speaker 1>when it gets flat, you still have twelve to twenty

0:25:50.960 --> 0:25:55.480
<v Speaker 1>four months before the stock market reacts. So I believe

0:25:55.680 --> 0:25:59.639
<v Speaker 1>that earnings will continue to support stock prices. That's not

0:25:59.680 --> 0:26:01.240
<v Speaker 1>to say we won't see a correction. We haven't seen

0:26:01.240 --> 0:26:03.800
<v Speaker 1>a correction a long time. They're normal and healthy. But

0:26:03.960 --> 0:26:07.680
<v Speaker 1>longer term, I think stocks will outperform fixed income. In

0:26:07.720 --> 0:26:11.520
<v Speaker 1>cash sectors, we like you know, you've seen some weakness

0:26:11.520 --> 0:26:15.040
<v Speaker 1>in the dollar that will help exports those industrials. We

0:26:15.119 --> 0:26:18.680
<v Speaker 1>do like finance finances sitting here waiting for a steep

0:26:18.760 --> 0:26:22.960
<v Speaker 1>yield curve, higher interest rates, and regulation reform. So we're

0:26:23.000 --> 0:26:26.240
<v Speaker 1>pretty broad based as far as our sector allocation. I

0:26:26.280 --> 0:26:28.880
<v Speaker 1>want to ask you turned back to something you said

0:26:28.920 --> 0:26:33.840
<v Speaker 1>about the business feels right that was the macro picture. Um,

0:26:34.200 --> 0:26:41.879
<v Speaker 1>what if the macro picture is about ever increasing uncertainty.

0:26:42.160 --> 0:26:44.240
<v Speaker 1>In other words, you're waiting for the dust to settle,

0:26:44.320 --> 0:26:48.080
<v Speaker 1>and the companies that are making new strides and whatever

0:26:48.080 --> 0:26:50.480
<v Speaker 1>it is, they're not waiting for the dust to settle

0:26:50.520 --> 0:26:53.199
<v Speaker 1>because they realize that it doesn't settle anymore. You have

0:26:53.240 --> 0:26:56.480
<v Speaker 1>too many market participants. You have too many uh companies

0:26:56.520 --> 0:26:59.199
<v Speaker 1>that can come in with a laptop and you know,

0:27:00.119 --> 0:27:04.960
<v Speaker 1>genius mind and disrupt the entire transportation industry like Uber

0:27:05.119 --> 0:27:09.119
<v Speaker 1>or hotels like Airbnb. Well, I think what happens is

0:27:09.160 --> 0:27:12.360
<v Speaker 1>if you don't get clarity on some of these issues,

0:27:12.480 --> 0:27:15.639
<v Speaker 1>you're stuck in the mud at that two percent GDP growth.

0:27:16.960 --> 0:27:18.639
<v Speaker 1>So yeah, but they're not going to do it for

0:27:18.680 --> 0:27:20.359
<v Speaker 1>the health of the GDP grow They're going to do

0:27:20.359 --> 0:27:22.040
<v Speaker 1>it because they know that they can make more money.

0:27:22.040 --> 0:27:24.000
<v Speaker 1>That it's good for their business. Right. But so if

0:27:24.040 --> 0:27:26.399
<v Speaker 1>the competition comes in, you know the guy down the

0:27:26.400 --> 0:27:30.560
<v Speaker 1>street says, well, no, I'm gonna offer it better, faster, cheaper. Well,

0:27:30.600 --> 0:27:33.479
<v Speaker 1>those are disruptors that are in the marketplace today. Amazon.

0:27:33.600 --> 0:27:35.359
<v Speaker 1>Does that need to happen more? I mean, so I'm

0:27:35.400 --> 0:27:37.879
<v Speaker 1>wondering why you would you be investing in, you know,

0:27:37.920 --> 0:27:41.679
<v Speaker 1>like healthcare and biotechnology and technology. Is that not an

0:27:42.000 --> 0:27:45.720
<v Speaker 1>area of where you want to put some of your chicks. Sure? Absolutely.

0:27:45.720 --> 0:27:49.359
<v Speaker 1>Like I said, we're pretty much diversified across broad sectors

0:27:50.119 --> 0:27:53.119
<v Speaker 1>because of that situation. But I think that's that healthy

0:27:53.200 --> 0:27:57.080
<v Speaker 1>competition makes us better, makes corporations better, more efficient. It

0:27:57.080 --> 0:28:00.680
<v Speaker 1>will increase earnings and of course revenue growth. But you've

0:28:00.720 --> 0:28:02.919
<v Speaker 1>got the disruptors like Amazon, and you've got some of

0:28:02.920 --> 0:28:06.359
<v Speaker 1>these other companies that um like Nelson Pelts to try

0:28:06.400 --> 0:28:08.440
<v Speaker 1>in a blue apron. You know, some of these things

0:28:08.520 --> 0:28:12.400
<v Speaker 1>show up and almost disappear. Well you know, uh not yet.

0:28:12.440 --> 0:28:16.240
<v Speaker 1>It hasn't disappeared yet, but but it definitely is track. Yeah,

0:28:16.240 --> 0:28:18.399
<v Speaker 1>it's on that track, you know. Casey. I want to

0:28:18.440 --> 0:28:20.480
<v Speaker 1>just talk about how you're saying that the fundamentals look

0:28:20.480 --> 0:28:23.280
<v Speaker 1>good and so the rally will continue. One problem that

0:28:23.359 --> 0:28:27.520
<v Speaker 1>people raises that the markets have become broadly public markets anyway,

0:28:27.560 --> 0:28:31.720
<v Speaker 1>have become broadly detached from fundamentals due to central banks stimulus.

0:28:31.800 --> 0:28:34.960
<v Speaker 1>And now that the economy is improving, as central banks

0:28:34.960 --> 0:28:37.600
<v Speaker 1>withdraw the stimulus, it doesn't matter that fundamentals are improving.

0:28:37.840 --> 0:28:40.320
<v Speaker 1>It's going to cause a sell off that could potentially

0:28:40.400 --> 0:28:42.800
<v Speaker 1>be more sustained or at least cap any future gains.

0:28:43.000 --> 0:28:45.840
<v Speaker 1>I mean, are you concerned about that? Does that matter

0:28:45.920 --> 0:28:48.520
<v Speaker 1>to you? I'm not. It's interesting some things we think

0:28:48.560 --> 0:28:51.880
<v Speaker 1>about is does the FED really matter? And when you

0:28:51.920 --> 0:28:55.760
<v Speaker 1>think about it, well, I would assume most CFOs have

0:28:56.040 --> 0:28:59.400
<v Speaker 1>termed out their debt if they have access to either

0:28:59.480 --> 0:29:01.600
<v Speaker 1>capital more keats, or if there's a lot of pressure

0:29:01.640 --> 0:29:04.280
<v Speaker 1>on banks to term out their debt. Same thing with

0:29:04.360 --> 0:29:07.760
<v Speaker 1>the consumer now today, something like ninety plus percent of

0:29:07.800 --> 0:29:10.560
<v Speaker 1>mortgages are a fixed rate. Mortgages are not veritable rate

0:29:10.640 --> 0:29:12.440
<v Speaker 1>like the housing crisis, So I think you're in a

0:29:12.480 --> 0:29:16.720
<v Speaker 1>different environment. So I'm not sure the FED today with this,

0:29:16.800 --> 0:29:20.680
<v Speaker 1>with seven years of monetary stimulus, really matters if rates,

0:29:21.200 --> 0:29:23.240
<v Speaker 1>you know, move up slightly, I don't know if it

0:29:23.320 --> 0:29:27.600
<v Speaker 1>really matters dramatically to corporate runnings. Really interesting, especially because

0:29:27.840 --> 0:29:30.360
<v Speaker 1>for so long there was is there is no alternative

0:29:30.440 --> 0:29:33.680
<v Speaker 1>trade where basically people weren't getting an yield in bonds,

0:29:33.720 --> 0:29:35.320
<v Speaker 1>you might as well go to stocks. You know, there's

0:29:35.320 --> 0:29:36.720
<v Speaker 1>a concern that people are going to rotate out of

0:29:36.720 --> 0:29:38.960
<v Speaker 1>stocks and go back into bonds if yields get high enough.

0:29:39.080 --> 0:29:41.920
<v Speaker 1>Especially because I mean realistically, if if yields can remain

0:29:41.960 --> 0:29:43.960
<v Speaker 1>this low, that means that growth will not pick up

0:29:44.440 --> 0:29:47.120
<v Speaker 1>that much. But you've got a long ways to go

0:29:48.040 --> 0:29:50.400
<v Speaker 1>before people go out of stocks and into bonds because

0:29:50.440 --> 0:29:53.200
<v Speaker 1>of the yield. Kasey Matthews, thank you so much for

0:29:53.240 --> 0:29:55.640
<v Speaker 1>joining us. Truly a pleasure having you in the studio here.

0:29:55.720 --> 0:29:58.760
<v Speaker 1>Casey Matthews is economist and chief investment officer. You m

0:29:58.800 --> 0:30:01.880
<v Speaker 1>B Bank, which is based in Kansas City, Missouri, UH

0:30:01.880 --> 0:30:04.920
<v Speaker 1>and manages over eight billion dollars need joins us here

0:30:04.960 --> 0:30:11.080
<v Speaker 1>in our Bloomberg eleven three oh studios. Thanks for listening

0:30:11.160 --> 0:30:14.040
<v Speaker 1>to the Bloomberg P and L podcast. You can subscribe

0:30:14.080 --> 0:30:17.640
<v Speaker 1>and listen to interviews at Apple Podcasts, SoundCloud, or whatever

0:30:17.720 --> 0:30:21.200
<v Speaker 1>podcast platform you prefer. I'm pim Fox. I'm on Twitter

0:30:21.480 --> 0:30:25.240
<v Speaker 1>at pim Fox. I'm on Twitter at Lisa abramoids one.

0:30:25.480 --> 0:30:28.160
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0:30:28.200 --> 0:30:29.040
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