Market Research

Big Data in Retail (Monetate Marketing Infographics)

Retailers already know how to use customer data to run their brick-and-mortar operations, and they've been digging through reams of web site analytics for at least a decade now. But data didn't really get "big" until an explosion in smartphone use and social media addiction.[read more]

Paypal's mobile payments

PayPal is leading consumers and merchants into a "digital wallet" universe and extending their lead by announcing partnerships with NCR and Discover. PayPal has 15 years of dominating online purchases but even more impressive is that they processed over $14 billion in mobile payments 2012.[read more]

social media technology / shutterstock

Attensity's newest version of Respond uses natural language-based analysis to derive insights from any form of text-based data and among other results can produce analyses of customer sentiment, hot issues, trends and key metrics. The product supports a form of closed-loop performance management.[read more]

lev radin / Shutterstock.com

Nike turned the most uncomplicated sport in the world, running, into a data-driven social sport that gives users access to tons of data about their personal achievements. As such, Nike has made an engaging gamified platform for runners to share their data and learn from the insights derived from it.[read more]

Big Data playbook

Cloud, Mobile, Business Intelligence (BI) and Big Data are changing the way we do business. The playbook to implement these technologies are normally very similar. This said, the playbook for Big Data/BI is going to require significant modifications if maximum success is to be achieved.[read more]

big data & market research / shutterstock

Big data is disrupting the world, society and all industries, and it will mark the end of the market research industry as we know it. Unless they are able to adapt and pivot on time, the big data scientist will replace the market researcher, and this will happen faster than one might expect.[read more]

Google tracking / shutterstock

This post explores a simple way to see Google Adwords results inside of Salesforce, using Google Analytics Campaign tags. Custom campaign values display in your Google Analytics reports, and you can capture them into leads in Salesforce using a tool like the Campaign Tracker.[read more]

Big Data's time to shine

Big Data seems to be the buzz on the street now. Analytics and engagement tools today allow a brand to sift through the vast quantities of data to derive meaning from it, giving brands the ability to capture social intent data. But capturing it is only the icing on the cake.[read more]

big data sources / shutterstock

Why is big data valuable? Because it’s big? Not really. The value of any dataset is determined by the quality of information you can extract from it. The key to value in big data is the detail. In other words, the value of big data is in the small stuff.[read more]

silo

With the impending “end-of-life” of Salesforce for Google Adwords, I thought I’d dive a bit deeper into some of the challenges for tracking Google Adwords lead sources into Salesforce. Here are some of the considerations that are not always front and center.[read more]

Big Data & CRM / shutterstock

In November of 1998, when the IT revolution in Enterprise Solutions was about to take off and companies had started investing in ERP or CRM systems in a major way, I thought it was just a matter of time before Predictive Analytics went mainstream. I was wrong. Is 2013 the year?[read more]

intelligence-driven marketing

In the "information economy," data is created at an unbelievable pace, but to make some reasonable business use of that data is challenging. Businesses need to systematically move from "big data" to "smart data", or data in the right business context, delivered to the right person at the right time.[read more]

data scientists in natural habitat

Am I overpaid if I can deliver the leads with a higher margin and lower price? At the end of the year, my revenue after cost is far above the $133k mentioned by ZDNet, yet I don't feel overpaid, and my clients don't feel that our service is expensive - if they did, they would stop working with us.[read more]

unstructured data/shutterstock

My contrarian’s view of unstructured data: it is, in large part, gigabytes of gossip and yottabytes of yada yada digitized, rumors and hearsay amplified by the illusion-of-truth effect and succumbing to the perception-is-reality effect until the noise amplifies so much that its static solidifies into a signal.[read more]

Predictive analytics

Eric Siegel's new book, Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die, recasts the subject in a form that is “mapped” more closely to common perceptions of what we do in our brains and why we do it. Here's a review, written by Dr. Robert Nisbet.[read more]