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Ad Verification Firm Pivots to Bot Detection

Ad Verification Firm Pivots to Bot Detection | Data Nerd's Corner | Scoop.it
Suddenly, the anti-bots business is booming. Last week, a company called White Ops announced aggressive plans to target what the company claims are crooks stealing more than $6.5 billion from advertisers.
Carla Gentry CSPO's insight:

Integral Ad Science is getting into the game, with a product the company says can stop bot traffic before it happens—using predictive technology that sounds like something out of Minority Report or Person of Interest.

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PRESENTING: The 100 Most Influential Tech Women On Twitter

PRESENTING: The 100 Most Influential Tech Women On Twitter | Data Nerd's Corner | Scoop.it
Here are the top 100 influential women that you should be following on Twitter.
Carla Gentry CSPO's insight:
25. Carla Gentry

Twitter

Occupation: Data Scientist at Analytical Solution

Handle: @data_nerd

Why: Follow Gentry for insights on data and digital marketing.

Tech PI: 83

PI: 67



Read more: http://www.businessinsider.com/most-influential-tech-women-on-twitter-2014-5?op=1#ixzz32LCkdrN1

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You can crunch it all you like, but the answer is NOT always in the data

You can crunch it all you like, but the answer is NOT always in the data | Data Nerd's Corner | Scoop.it
But I think the issue has become much worse recently as data has become more freely available. For example, data journalism has emerged as a field in its own right. Some journalists have taken to applying tortuous analysis to large data sets and the results are then used to “prove” a particular point. Note the use of the word “some” in that last sentence; there are many excellent journalists who use data properly; but not all do so. And it is not just my fellow scribes who are guilty, it is increasingly apparent (although less publicly so) in the commercial world.
Carla Gentry CSPO's insight:

I am not (obviously) saying that data analysis is wrong; given my day job that would be an odd stance to take. But I do want to caution against the practices of the data analysis zealots and to make the point that context is vital because (despite what the zealots appear to believe) judgement and context are a major part of any good analysis.

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The New Recruits in Moore’s Huge Data Program - Inside Philanthropy: Fundraising Intelligence - Inside Philanthropy

The New Recruits in Moore’s Huge Data Program - Inside Philanthropy: Fundraising Intelligence - Inside Philanthropy | Data Nerd's Corner | Scoop.it
The Gordon and Betty Moore Foundation has a highly influential science program, giving big money to a spread of topics that includes earthquake detection, quantum materials, and marine microbiology. Oh, and the foundation is also building the world's most powerful telescope in Hawaii, a project that it says "has the potential to transform the study of the universe."
Carla Gentry CSPO's insight:

This is an extremely active field right now in research and particularly in science philanthropy, as we try to catch up with the rapidly expanding body of information in everything from genomics to economics. Moore kicked off its five-year, $60 million program with a bang by establishing with the Sloan Foundation a $37.8 million partnership with three universities, forming a hub for academics harnessing data. 

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Beyond Reach And Frequency: Targeting Moods, Modes, Screens And Situation 10/20/2014

Beyond Reach And Frequency: Targeting Moods, Modes, Screens And Situation 10/20/2014 | Data Nerd's Corner | Scoop.it
Targeting campaigns to user profiles, segments, location and behaviors is so…so…2014.

I know, I know. Leveraging the technologies we have had for years, even to the degree we target now, has been a long, slow slog. But in some ways it is starting to feel as if it's 2005 all over again. The technological abilities to target are well ahead of the budgets, the analytics and certainly the creative.
Carla Gentry CSPO's insight:

Interestingly enough, it was at the first day of our OMMA Chicago Art & Science show that I heard an inordinate amount of discussion from creative about both data and advanced targeting. This first day was supposed to be mainly about the “art” of advertising in an age of science. But one of the salient themes today was the radical fragmentation of big ideas into much more segmented and targeted smaller executions that require creative elements appropriate to each channel.

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Big Data As Boogeyman

Big Data As Boogeyman | Data Nerd's Corner | Scoop.it
Gibbs acknowledges that this foresight can be “pretty good” but worries about the potential downside: “Anonymized data often isn’t that … so actually tracking specific people could be possible and could lead to abuse in real world deployments.” Not to sound like a reactionary, but we have that now. With proper evidence, law enforcement officials can order wiretaps and surveillance and who knows what else. If the data is there, why not use it? I don’t like those signs that say “we ask for ID for your protection” but if you’ve ever had someone steal your credit card, it’s nice to have someone checking to make sure it’s really you passing the card.
Carla Gentry CSPO's insight:

The problem here is one of boundaries – specifically the boundary between personal data and anonymous data. Big data can identify both, and its value comes from the ability to render both. It can recognize demographic patterns and trends on a grand scale. Its ability to identify personal trends – teen-age pregnancy notwithstanding – is less accurate. I once bought a book of French poetry on Amazon for my now-ex-father-in-law, an isolated action that probably confused the site’s algorithms for a while

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How enterprise storage has coped with 30 years of data growth

How enterprise storage has coped with 30 years of data growth | Data Nerd's Corner | Scoop.it
Fast-forward three decades and we see very different challenges, not least because of the emergence of high-resolution imagery. Indeed, driven by the growth of smartphones, big data analytics and social media, there has been an explosion in the data storage industry. Market intelligence provider IDC recently showed that the amount of data used globally is doubling in size every two years, and by 2020 the digital universe – the data we create and copy annually – will reach 44 zettabytes, or 44 trillion gigabytes. Consumer and business demand for this information in real-time is only exacerbating the challenge presented.
Carla Gentry CSPO's insight:

So, what does this mean for the storage industry today? With the advent of HD technology, video content providers now have to process huge volumes of information at speeds approaching those of today's best computers. The growing pressure on content providers to rely on high bandwidth performance for high quality, high-frame per second transfers, means that data needs to be stored effectively and be easily retrieved. Whereas 30 years ago, strings of data were stored onto a disk at random, today content providers, and particularly those operating online, need to rapidly recall vast sets of high-quality data. The challenge is therefore accessing data, rather than storing it.

Read more: http://www.itproportal.com/2014/10/19/how-enterprise-storage-has-coped-with-30-years-of-data-growth/#ixzz3Gh3ENmxb

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Nine Things You Need to Know About Insider Threats

Nine Things You Need to Know About Insider Threats | Data Nerd's Corner | Scoop.it
The study surveyed 355 IT professionals and was sponsored by SpectorSoft, a user activity monitoring and analysis software firm. "The statistics paint a bleak picture when it comes to securing company data against insider threats," says SpectorSoft chief marketing officer Rob Williams. "With so many data breaches happening, C-level executives are coming to the realization that their jobs could be on the line if company data isn't protected." To view the report, click here.  
Carla Gentry CSPO's insight:

The majority of enterprises can neither detect nor deter insider threats, according to a new survey. As a result, they are vulnerable to fraud, data breaches, and intellectual property theft. Sixty-one percent of respondents say they do not have the ability to deter an insider threat, 58 percent admit that they cannot detect an insider threat, and 75 percent say they cannot detail the human behavioral activities of such threats. Furthermore, six in 10 respondents say they are not adequately prepared to respond to insider threats. While the percentage of insider threats has stayed consistent in the last decade, the total number of these attacks has increased, and has resulted in an annual worldwide loss of $2.9 trillion due to employee fraud. - See more at: http://www.cioinsight.com/security/slideshows/nine-things-you-need-to-know-about-insider-threats.html/#sthash.j4Y4rvjN.dpuf

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Counting the cost of conflict minerals compliance - Rivo

Counting the cost of conflict minerals compliance - Rivo | Data Nerd's Corner | Scoop.it
This June was the first time that US-regulated companies were to provide any information on their conflict minerals compliance and only 6% met an acceptable standard.  It is obviously still early days, and organisations are not finding it easy to get the information they need from their complex supply chains.  After all, the minerals affected might be three or four degrees of separation down the chain from the actual manufacturer.  Additionally, the requirements of the rules (for now at least) are simply to identify and acknowledge the use of conflict minerals.  There’s plenty of assistance on offer out there too, organisations like the Conflict-Free Sourcing Initiative (CFSI), the Conflict-Free Tin Initiative and Solutions for Hope specialising in making it easier for companies to find responsible sourcers of materials.  Even the big consultancies have conflict mineral compliance practices.  So yes, it isn’t easy, but it’s not impossible.
Carla Gentry CSPO's insight:

So, this Fairphone which, just to recap, has been four years in the making, no doubt with much time and effort going into finding the conflict-free mines to source the materials from, can’t be particularly fairly priced surely?

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Google Improves Search Engine To Battle Copyright Piracy

Google Improves Search Engine To Battle Copyright Piracy | Data Nerd's Corner | Scoop.it
Google said its plan to combat pirated material is more proactive than reactive, focused on driving users to legitimate content rather than eliminating material that violates copyright laws. Google will continue to respond to the hundreds of millions of takedown requests it receives each year, however.
Carla Gentry CSPO's insight:

Google said its plan to combat pirated material is more proactive than reactive, focused on driving users to legitimate content rather than eliminating material that violates copyright laws. Google will continue to respond to the hundreds of millions of takedown requests it receives each year, however.

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Database of Zip Codes Shows How Marketers Profile You

Database of Zip Codes Shows How Marketers Profile You | Data Nerd's Corner | Scoop.it
Software company Esri's database files Americans into one of 67 consumer groups.
Carla Gentry CSPO's insight:

Believing that 'you're only young once,' we're living life to the fullest, unfettered by home and vehicle ownership, and not ready to settle down. We're young, educated singles with good jobs who spend our disposable income on upscale city living and entertainment—mostly on rent. Even though we're spenders, we seek financial advice and are building our investment portfolios. Dressed head to toe in the most current fashions, we fill our weeknights and weekends with discovering local art and culture, dining out, or exploring new hobbies. We must be connected at all times; texting and social media are essential for communication and keeping up with our social lives. E-readers and tablets are preferred for everything except women's fashion and epicurean magazines which must be in print. We shop at Whole Foods and Trader Joe's for quick, organic meals.

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Big data needs big brains

Big data needs big brains | Data Nerd's Corner | Scoop.it
Assume the test for liver cancer gives false-positives (that is, the test is positive, but you don’t have cancer) 10 percent of the time, and false-negatives (the test is negative, but you do have cancer) 25 percent of the time, and the general risk of having liver cancer is one percent.

The test comes back positive. How likely is it that you actually do have liver cancer?

If you’re like most people, your answer will be staggeringly wrong, because humans are extremely bad at estimating risk using just their brains. The answer is you’re only 7.5 percent likely to have liver cancer. How close were you?
Carla Gentry CSPO's insight:

Assume the test for liver cancer gives false-positives (that is, the test is positive, but you don’t have cancer) 10 percent of the time, and false-negatives (the test is negative, but you do have cancer) 25 percent of the time, and the general risk of having liver cancer is one percent.

The test comes back positive. How likely is it that you actually do have liver cancer?

If you’re like most people, your answer will be staggeringly wrong, because humans are extremely bad at estimating risk using just their brains. The answer is you’re only 7.5 percent likely to have liver cancer. How close were you?



Read more: http://www.itnews.com.au/Feature/396728,big-data-needs-big-brains.aspx#ixzz3G7hZMR1w

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Your browsing is worth billions

Your browsing is worth billions | Data Nerd's Corner | Scoop.it
If passive data are worth hundreds of billions of dollars when sold by third parties, the data that individuals choose to share — reliable, honest insights into their motivations as consumers — should be worth much more. By recognising the individuals behind the data, companies can access and share in that value, within a fully inclusive data economy.
Carla Gentry CSPO's insight:

Beyond enabling individual internet users to monetise their data, this model would benefit data buyers by connecting them more closely to consumers — not least by diminishing the mistrust that can arise... 

Please credit and share this article with others using this link:http://www.bangkokpost.com/opinion/opinion/437277/your-browsing-is-worth-billions. View our policies at http://goo.gl/9HgTd and http://goo.gl/ou6Ip. © Post Publishing PCL. All rights reserved.

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Big data - proceed with caution

Big data - proceed with caution | Data Nerd's Corner | Scoop.it
The big challenge is also around data management. Since data is getting collected in different time points from different locations – temporal and spatial variability – and comes in different formats without adequate metadata describing who, what, when, how and from where, this can pose serious issues in terms of contextualising and actioning on intelligence extracted from such data.
Carla Gentry CSPO's insight:

Then there is the challenge with data ownership, privacy and security. Who owns Twitter or Facebook data – service providers where data is stored or account holders? There are serious attempts by researchers to develop algorithms that will automatically randomise personal data among large data collections to mitigate privacy concerns. International Data Corporation has suggested five levels of increasing security: privacy, compliance-driven, custodial, confidential and lockdown, and there is still work ahead to define these security levels in respect to analytical exploitation before any legislative measures are in place.

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How to Become a Data Scientist

How to Become a Data Scientist | Data Nerd's Corner | Scoop.it
Clearly data science is very hot right now. Where I think data science contributes the most is basically converting numbers and data into consumable information for human brains; data science helps with decision-making. Beyond the hype and the application of the scientific method to business data, [data science] is a great way to convert the information hidden in the numbers and data into visually and conceptually understandable models that managers can make decisions upon
Carla Gentry CSPO's insight:

With any position like data science, there’s a lot of excitement as people realize they can benefit from it. People see the value and the industry is really excited, which I think is great, but also there is a lot of confusion. The confusion [will die] down as people are getting used to what data science does and how it can [help decision-making], and some of the demand may die down as the extra excitement and hype goes down. But because of that root problem of data containing information which needs to be rotated and converted for humans to understand and make decisions, data science will stay here for a very, very long time - as long as businesses are generating data, and I don’t think that’s going anywhere. So I think there will be some clarification and some dying down of the hype in the near future, but I think data science is not just a fad and it’s actually a fundamental part of data-driven businesses.

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Energy Efficiency and Big Data Analysis | The Energy Collective

Energy Efficiency and Big Data Analysis | The Energy Collective | Data Nerd's Corner | Scoop.it
Consider that a one-time benchmarking exercise or an onsite audit is only a snapshot of a building’s performance and cannot capture the dynamic responses of a building. Therefore, this portfolio management platform must provide continuous tracking and benchmarking so that profiles are always up to date as the buildings’ physical systems evolve and external factors like weather and utility prices change. 
Carla Gentry CSPO's insight:

Consider that a one-time benchmarking exercise or an onsite audit is only a snapshot of a building’s performance and cannot capture the dynamic responses of a building. Therefore, this portfolio management platform must provide continuous tracking and benchmarking so that profiles are always up to date as the buildings’ physical systems evolve and external factors like weather and utility prices change. 

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New fundamental applied math result for Wall Street | LinkedIn

New fundamental applied math result for Wall Street | LinkedIn | Data Nerd's Corner | Scoop.it
The fundamental result from section 2, the fact that E[M(n)] = SQRT(n/2), has important consequences for Wall Street traders. Basically, it means that the highest value a stock, index or commodity will reach (on average), during a period of n days, is

Max price = exp{c*SQRT(n)} / P,

where c is a coefficient depending on the commodity or stock in question (it's higher for volatile stocks), and P is the value of the commodity or stock in question at the beginning of the time period in question.
Carla Gentry CSPO's insight:
You must have a diversified portfolio with many stock clusters or indices that are (1) not too volatile and (2) un-correlated. Assumption (2) needs careful analysis. This is required, because the result essentially applies to portfolios, not individual stocks.
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How Big Data Projects Are Different

How Big Data Projects Are Different | Data Nerd's Corner | Scoop.it
An organization measuring the impact of social media in a marketing mix might have the following inputs: Customer satisfaction scores, likelihood to recommend, social media sentiment, marketing measures such as email clickthroughs, website visits, conversions, abandonment rates, sales transaction metrics across categories, and customer demographics. The organization might correlate participation in social media marketing using tracking URLs for attribution and determine correlation with uplift on the ecommerce site. This mix will have a number of inputs, since shopping conversion is only the last step in a potentially long series of activities and interactions, each of which strengthens or weakens the brand and the relationship.
Carla Gentry CSPO's insight:

Several important questions can be asked and answered: What content is most effective in engaging across various social media vehicles? How does variation in tone (humorous versus factual for example) impact the next behavior? How does that behavior change according to product line, web channel, specific web property, demographic segment, geographic territory, or user intent? The overall hypothesis consists of a range of questions about the impact of campaigns using a variety of methods for touching, attracting, engaging, converting and retaining customers

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Big Data's Disparate Impact

Big Data's Disparate Impact | Data Nerd's Corner | Scoop.it
Sadly, what this paper explains to me is how very far we are away from anything resembling what we need to actually address the problems. For example, even in this paper, where the writers are well aware that training on historical data can unintentionally codify discriminatory treatment, they still seem to assume that the people who build and deploy models will “notice” this treatment. From my experience working in advertising, that’s not actually what happens. We don’t measure the effects of our models on our users. We only see whether we have gained an edge in terms of profit, which is very different.
Carla Gentry CSPO's insight:

Essentially, as modelers, we don’t humanize the people on the other side of the transaction, which prevents us from worrying about discrimination or even being aware of it as an issue. It’s so far from “intentional” that it’s almost a ridiculous accusation to make. Even so, it may well be a real problem and I don’t know how we as a society can deal with it unless we update our laws.

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Building the next generation of female IT professionals

Building the next generation of female IT professionals | Data Nerd's Corner | Scoop.it
"What's concerning to us is the dire need for diversity in the IT industry, and we see this huge gap in science, technology, engineering and math (STEM) skills and training, especially with women and minorities," Bischke says. "While we have tools within our Entelo solution that allows recruiters and hiring managers to specifically focus on hiring from these underrepresented groups, we wanted to do more to encourage women's interest in STEM starting very early," he says.
Carla Gentry CSPO's insight:

While woman make up 48 percent of the US workforce, they comprise only 24 percent of STEM workers, according to the Census Bureau's 2009 American Community Survey (ACS). In other words, half as many women are working in STEM jobs as one might expect if gender representation in STEM professions mirrored the overall workforce, according to data from a 2011 US Department of Commerce Economics and Statistics Administration report.

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Women in Data Science Are Invisible. We Can Change That | WIRED

Women in Data Science Are Invisible. We Can Change That | WIRED | Data Nerd's Corner | Scoop.it
I GOT LUCKY. I WAS TURNED DOWN FOR A JOB AT A GOOD BUSINESS SCHOOL BECAUSE I WAS JUDGED TO BE “TOO TECHNICAL” BY THE (MALE) HEAD OF THE DEPARTMENT. IN HINDSIGHT I SHOULD BE ETERNALLY GRATEFUL
Carla Gentry CSPO's insight:
Why Are Women in Data Science Invisible?

There are many excellent women in my field (I know many of them personally), but for the most part they are not on the radar for keynote speeches and rather few of them have titles like Chief Scientist. So, why do they seem rather invisible?

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The acquisition will add big data product performance analytics across the global supply chain

The acquisition will add big data product performance analytics across the global supply chain | Data Nerd's Corner | Scoop.it
Camstar’s enterprise MES portfolio delivers scalable, flexible, enterprise-wide solutions for centralized or distributed multi-site manufacturing environments. Today’s complex product development environment is driving strong demand for enterprise MES solutions among manufacturers in discrete industries. The Camstar portfolio includes high-performance analytics to gain insight into the operations of complex and global processes. This cloud-based capability leverages big data technology across the operations and global supply chain of the enterprise.
Carla Gentry CSPO's insight:

Camstar’s enterprise MES portfolio delivers scalable, flexible, enterprise-wide solutions for centralized or distributed multi-site manufacturing environments. Today’s complex product development environment is driving strong demand for enterprise MES solutions among manufacturers in discrete industries. The Camstar portfolio includes high-performance analytics to gain insight into the operations of complex and global processes. This cloud-based capability leverages big data technology across the operations and global supply chain of the enterprise.

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EBay Merchants Lamenting Neglect Bid PayPal Good Riddance

EBay Merchants Lamenting Neglect Bid PayPal Good Riddance | Data Nerd's Corner | Scoop.it
For too long, EBay has taken its eye off the Web marketplace, introducing changes such as new seller-performance ratings that have detracted from the merchant experience, said Ackerman, 48, who has been selling on the site since 1998. As EBay prepares to spin off PayPal by the end of 2015, Ackerman said she hopes the split will bring focus back to merchants.
Carla Gentry CSPO's insight:

Ackerman is one of more than half a dozen EBay sellers interviewed by Bloomberg News who said they welcome the impending split of the San Jose, California-based company’s marketplace business and PayPal unit. Those opinions matter because EBay’s 25 million merchants globally, who transact everything from Halloween costumes to garden gnomes, make up the backbone of a business that generated $8.28 billion last year. Their loyalty will help determine whether EBay will be able to thrive without PayPal, its faster-growing division.

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Turning Social Influencers Into Brand Advocates

Turning Social Influencers Into Brand Advocates | Data Nerd's Corner | Scoop.it
"Social influencers," as they're known, are social media users with a strong group of active, engaged followers. While many social influencers tend to have large followings, what's more important than the number of followers is how many of them will mention, respond to or share an influencer's posts. Marco Hansell, CEO of Speakr(formerly known as twtMob), built his company on the idea that brands can truly benefit from finding and connecting with the right social influencers in their industries.
Carla Gentry CSPO's insight:

"It's a ripple in a pond effect, and the pond is [an influencer's] social network," said Dmitri Williams, founder of Ninja Metrics and an associate professor at the University of Southern California. "Five to 10 percent of [social media users] are responsible for 60 to 80 percent of influence, [but] big influencers are almost never big spenders. The more 'social' the business category is, the more important [social value] is."

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FTC sets sights on EHR makers | Government Health IT

FTC sets sights on EHR makers | Government Health IT | Data Nerd's Corner | Scoop.it
Healthy competition "is central to improving health care quality and outcomes, reducing costs, and improving the consumer experience," write Tara Isa Koslov, of FTC's Office of Policy Planning; Markus Meier, of its Bureau of Competition and David R. Schmidt, of its Bureau of Economics
Carla Gentry CSPO's insight:

Healthy competition "is central to improving health care quality and outcomes, reducing costs, and improving the consumer experience," write Tara Isa Koslov, of FTC's Office of Policy Planning; Markus Meier, of its Bureau of Competition and David R. Schmidt, of its Bureau of Economics

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The emergence of data blending – and why business analysts are bypassing IT to do it | Information Age

The emergence of data blending – and why business analysts are bypassing IT to do it | Information Age | Data Nerd's Corner | Scoop.it
Data is still in the hands of the IT gatekeepers when it comes to data flowing in and out of departments. But it is the analysts that understand the business and understand what data is important to their business.
Carla Gentry CSPO's insight:

By combining relevant data on common fields, blending in the specific information an analyst is looking for, they can understand what products or services are having the biggest impact on sales and what is driving the interest of prospective buyers. 

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Email Data Hygiene: When you know it’s time to break up | MarketingSherpa Blog

Email Data Hygiene: When you know it’s time to break up | MarketingSherpa Blog | Data Nerd's Corner | Scoop.it
How is marketing to that email address helping the marketers’ campaigns (other than contributing to list bloat)?
Carla Gentry CSPO's insight:

Using this campaign, the team trimmed their list by an impressive 64%. Now, they can be in touch with people who want  engage with them.

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