Newly Released Media Behaviors & Influence™ Study Provides Marketers in Disrupted Media Market with Real Data from Real People for Increased ROI
Worthington, OH – 3/13/2017
As advertisers continue to struggle with disruption in the media world, including a decline in the use of traditional media, fake news, and bot fraud, Prosper Insights & Analytics™, a leading provider of business intelligence solutions, has released the Media Behaviors & Influence Study™ (MBI) for 2017. The data includes the responses of over 16,000 respondents and can be used to enlighten marketers by providing a unique consumer dimension. The MBI contains real consumers’ media consumption, including which media influences them to purchase, personality traits, and purchase intentions, and can be integrated with big data initiatives to enhance models to better target consumers. Continue reading →
Today’s Throwback Thursday article is entitled, “Three Legs Of Big Data Stool Needed For Success.” First published on Forbes.com on April 23, 2014, it details three key areas for getting started in big data.
1. Data Sourcing and the potential pitfalls of big data streams from social networks full of fraud and incomplete data requiring numerous unverifiable assumptions.
2. Human resources capable of developing a strategy to exploit big data for a competitive strategy. (Hint: most fail here.)
3. Analyzing right types of data for meaningful outcomes.
Finally, the article advises about the use or integration of outside data sources which are much more specific, detailed, and accurate, in order to better inform digital data.
Consumer confidence continues to decline from December’s peak but February’s reading represents a 19% surge over last year. Deborah Weinswig, Managing Director of Fung Global Retail & Technology, weighs in on the evolving state of the US consumer in 2017. Continue reading…
This week’s Throwback Thursday article comes from a Forbes.com post I authored in March of 2014 titled, “Is Big Data Today’s Sock Puppet?” To set the context of the article, recall all the hype centered on big data in 2014, as if it were capable of solving about every problem known to man. The issue of methbots, bot fraud, and unverifiable data accuracy was largely overlooked. Today those issues are undermining many initiatives. Enjoy this replay of “Is Big Data Today’s Sock Puppet?”
Prosper Insights & Analytics™, a leading provider of business intelligence solutions, has released a new report available for purchase titled, “Prime Risk: A Retailer’s Guide to Understanding Amazon Prime Members.”
Over the past several years, as Amazon.com has grown its market share, loyal customer base, and product lineup, it seems that many competing retailers and brands underestimated – or were in complete denial of – Amazon’s impact on the retail industry and shifting shopping habits as consumers increasingly became comfortable purchasing online. Amazon is no longer an abstract digital pest for retailers – it’s a full-blown disruption to the industry as a whole. Shoppers, who are increasingly becoming Prime converts, LOVE the change, which in turn threatens the livelihood of every other retailer in the industry. As they gravitate toward Amazon in search of products, information, and other digital services, traditional retailers are left to compete for shrinking share of consumers’ wallets.
For retailers no longer in denial about the effect Amazon has had on both shoppers and the retail industry, this report is to serve as a guide to understanding Amazon Prime from the point of view of consumers, identifying which retailer shopper groups and formats are most at risk for losing customers to the Amazon vortex. Continue reading →
Earlier this week, I read an article in a technology publication about several University of Washington professors who are launching a new course designed to overcome what they call “bulls**t in the age of big data.” The 160 seat seminar starts in late March and filled up in the first minute of online registration. The course covers the rush to apply machine learning algorithms to big data that is oftentimes corrupt and yielding less than accurate results. Beware of the overhyped big data and its potential for revolution, warned one of the professors.
Yesterday I posted a recent interview I did with a business development consultant, John Sydnor, who warned about the emerging challenge of ‘fake data.’
The throwback article for today I wrote on March 11, 2014 and in it I warn about questionable data (i.e. fake) and the failure by many Fortune 500 companies to exploit big data for competitive advantage (i.e. hype). I also give some advice for how to upgrade your big data inputs to get more strategic outputs and go from big data to knowledge.
CLICK HERE to read “Going Beyond Big Data To Knowledge.”
————————————————— Gary Drenik is CEO of Prosper Insights & Analytics, a company that prides itself on turning data into evidence-based solutions for the C-Suite. www.ProsperDiscovery.com
Consumer confidence cooled a bit in January, but stayed well above the 13 month average. What does it mean for spending? Deborah Weinswig, Managing Director of Fung Global Retail & Technology, weighs in, plus she takes a special look this month at how consumers feel overall about their personal financial security. Continue reading…
“We can easily forgive a child who is afraid of the dark; the real tragedy of life is when men are afraid of the light.” – Plato
While struggling with the topic and content of this column, the trickle of underwhelming Brick & Mortar sales results from many retailers’ holiday season began to hit the press. Many of these retailers have only now seriously begun thinking about creating a sustainable business model for the future. For some the ship may have sailed. All of which got me thinking about an article I wrote for this column three years ago. It is just as relevant today as it was in 2014. So rather than beating my head against the wall trying to reinvent the wheel, here is the article from 2014, its warnings, and even prescriptions for a new retail marketplace. Continue reading…
In 2016, many retailers found themselves at the low end of estimates. Had they had the right predictive analytics, they could have understood the market better and managed accordingly. Deborah Weinswig, Managing Director of Fung Global Retail & Technology, weighs in on some of Prosper’s key predictive analytics and provides much needed knowledge for retailers. Continue reading…
Earlier this year I wrote about the need for better analytics and the quest for better consumer confidence indicators which could greatly inform the development of more reliable predictive analytics. With many businesses, and even the Federal Reserve, having difficulty developing accurate forecasts, the time seems right to develop methodologies outside of traditional economics. Many have argued that the current state of asking consumers about such vague topics such as future expectations or business conditions should be replaced with a more straightforward set of micro foundation questions that probe personal spending directly. Continue reading…