‘Narrative Analytics’ Targets Consumer Beliefs

In the latest attempt to figure out what consumers want and how much they are willing to pay to get it, a “narrative analysis” platform launched this week crunches “cross-platform data sets” to divine consumer “beliefs and motivations.” San Francisco-based Protagonist (formerly Monitor 360) said this week its platform leverages machine learning and natural language processing to gauge the “narratives

The Analytics Supply Chain

Businesses across many industries spend millions of dollars employing advanced analytics to manage and improve their supply chains. Organizations look to analytics to help with sourcing raw materials more efficiently, improving manufacturing productivity, optimizing inventory, minimizing distribution cost, and other related objectives. But the results can be less than satisfactory. It often takes too long to source the data, build

4 Reasons to Build Predictive Customer Analytics into Your Retail Business

Data science is playing an increasingly bigger role in how businesses utilize technology in strategy, planning, and operations. Everyone is trying to collect data, analyze it and apply the intelligence learned into optimizing business activities. One area where the value of data – particularly in predictive analytics – has been making its mark is in retail. This is a tough

How to Turn Anonymous Visitors into Loyal Customers

Today, marketers find one of their biggest challenges is converting anonymous website visitors into loyal customers. Research shows more than 98 percent of website visitors are anonymous. It may seem ambitious and a bit naïve, but most brands want every single person who visits their sites to make a purchase and come back for more. In today’s highly competitive marketplace,

4 Ways You Can Use Big Data to Market to Millennials in 2017

Millennials are making a huge impact on the world. Since passing the Baby Boomers in population in 2012, it was forecasted that business practices needed to shift their marketing strategies soon. Well, ‘soon’ has arrived and by 2017, you’ll need to focus your marketing more toward this generation. Big data is going to be a key factor in your practices,