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Social marketing, PR insight & thought leadership - from The PR Coach
Curated by Jeff Domansky
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"Marketing Seat At The Table" cartoon | Tom Fishburne: Marketoonist

"Marketing Seat At The Table" cartoon | Tom Fishburne: Marketoonist | Public Relations & Social Marketing Insight | Scoop.it
From tomfishburne.com - May 4, 2015 2:11 PM

Around the executive table, marketing has traditionally had the hardest time proving their value. The correlation between marketing investment and revenue impact has often been fuzzy.

This is particularly true for consumer marketing. When a shopper picks up a particular bottle of shampoo in the grocery aisle, how much of that decision was influenced by marketing? How much of that decision related to years of brand investment, how much to the latest ad, how much to the recent packaging redesign, how much to the placement on shelf, how much to the in-store sales promotion? There are a lot of factors that go into any purchase. How much related to a brand-building message, and how much direct-response? Which tactics should get the credit, and therefore more investment in the future?...

Jeff Domansky's insight:

Do you have the data? Key credibility question for marketing.

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Big Data Myths Give Way To Reality In 2014

Big Data Myths Give Way To Reality In 2014 | Public Relations & Social Marketing Insight | Scoop.it
From readwrite.com - January 2, 2014 2:57 AM

Much of what we believe about Big Data is wrong, which will be demonstrated in 2014.


For many enterprises, Big Data remains a nebulous goal, rather than a current reality. Yet it's a goal that more and more enterprises are pushing to the top of their priority list. As Gartner surveys have shown, everyone is keen to board the Big Data bandwagon, yet a comparative few really understand why. And as Gartner analyst Svetlana Sicular points out, the myths that hold back Big Data adoption vary depending on where along the adoption curve an enterprise happens to be.In 2014, many of the sillier Big Data myths will crumble to be replaced by increased experience with data-driven applications...

Jeff Domansky's insight:

What's the big deal about big data? Mostly, it's about the myths that prevent it from being better utilized.

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Phillip Trotter's curator insight, January 3, 2014 1:28 AM

Over the years I have come to appreciate Garner's hypercycle - especially as technologies and terms become less fashionable. I am pretty certain 2014 will see a backlash to the term big data - just at the same time large scale data initiatives go into production in many enterprises and valuable deployment stories and application experience is shared.. Interesting article from readwriteweb.
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How to Measure People on the Web

How to Measure People on the Web | Public Relations & Social Marketing Insight | Scoop.it
From www.steamfeed.com - November 3, 2013 10:52 AM

The information Google Analytics and similar tools like heatmaps provide us with is incredibly valuable; however, let’s not forget that computers and software are dumb. Binary code and user interaction tracking has its limits. That’s why programs recording user-testing have been created to show site owners the thought process and pain points - the web journey.


But we can do better than that.


By fusing personalized outreach with social listening, we can measure people and receive phenomenal qualitative data – data we can act on....

Jeff Domansky's insight:

These are three “people elements” that every website owner would love to know. Here's how to find them.

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Big Data Is About To Produce A Whole Bunch Of Google-like Companies — Here's How

Big Data Is About To Produce A Whole Bunch Of Google-like Companies — Here's How | Public Relations & Social Marketing Insight | Scoop.it
From www.businessinsider.com - August 18, 2013 1:50 AM

Why are techies and scientists so excited about big data? It allows us to identify patterns and predict things like never before.

Jeff Domansky's insight:

Here's a few thoughts about big data and why it should matter to you.

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The Evolution of Big Data, and Where We're Headed | Wired.com

The Evolution of Big Data, and Where We're Headed | Wired.com | Public Relations & Social Marketing Insight | Scoop.it
From www.wired.com - March 28, 2014 3:17 AM

...Few fully understand what big data is, much less what the term’s offshoots entail. But big data is evolving and smart data, identity data and people data are here to stay. Think of them as the human discovery of fire, the wheel and wheat. Just as those inventions couldn’t have occurred without humans, these subset terms couldn’t exist without big data.


Of course, the human race wouldn’t be where it is today without those three key finds, and these data segments will prove to do the same for big data — making it comprehensible for the masses.


Are these definitions all-inclusive? No, but they will help you to wrap your head around the terms that will influence digital media careers and online experiences for years to come...

Jeff Domansky's insight:

What's the big deal about big data? It starts with the challenge of defining it and goes from there.

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Leverage Your Relationship Data

Leverage Your Relationship Data | Public Relations & Social Marketing Insight | Scoop.it
From brand-innovators.com - December 15, 2013 9:25 AM

Everyone s talking about Big Data these days, and it has marketers buzzing with anticipation. In fact, data proliferation is expected to grow from 130 exabytes to 40,000 exabytes by 2020.


So my advice to brands is not to get seduced by the lure of Big Data and ignore the power of Relationship Data. Want to find out how people really feel about your product or a particular service? Just ask them. We’re so much more connected today that we have many more opportunities for developing relationships. And if we concentrate our efforts on building and expanding those relationships, they’ll help us glean priceless information about how our prospects and customers feel about our products and services....

Jeff Domansky's insight:

Ted Rubin makes a great point about choosing relationship data over BIG data.

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The Sexiest Part of Being a Data Scientist is Not in the Code, It's In the Storytelling

The Sexiest Part of Being a Data Scientist is Not in the Code, It's In the Storytelling | Public Relations & Social Marketing Insight | Scoop.it
From www.cmswire.com - September 29, 2013 7:37 PM

...I think the folks at Harvard need to go back to school. I understand why they believe that data scientist will be "the sexiest job of the 21st century", but what I don't understand is the lack of applying basic business school fundamentals to the claim and then taking the next step. I realize that I'm a little late to criticize an article that's nearly a year old and I hope that people will cut me a little slack given that it was just brought up again in these pages a few weeks ago (which was the first time I saw it).


Right around the same time, the HBR article was published, I wrote an article that also foretold of the rising power of Big Data professionals, but where HBR saw "ability to code" as the prime differentiator, I saw insight and artistry as the prime radiants....

Jeff Domansky's insight:

Who knew? Good debate over cocktails or at the water cooler.

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MediaPost Publications | Silos, Scale, Skills Are Bogging Down the Analytics

From www.mediapost.com - August 18, 2013 1:45 AM

...When it comes to data, you can drink it, but you’re not quite sure it’s going to do you any good. According to a survey by Alteryx and AbsolutData of industry leaders last spring, the impediments to leveraging customer analytics involve the persistence of corporate silos, a general lack of expertise within the company, and the burden of simply managing the sea of data.


The most common challenge cited by these respondents (43%) was accessing data managed by other departments. These departments use multiple data sources, and executives complain that the data is often overlapping when each department pursues similar questions. Right behind the silo problem, however, is simply integrating the enormous amount of data that is already there, cited by 39% of respondents. At about the same level (38%) is the similar problem of integrating the disparate data types....

Jeff Domansky's insight:

Helpful article on the ins and outs of big data.

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