Marketing

Big Data changes

When determining your criteria for price quoting, having the right data is essential. Market trends, customer profiles, and the effectiveness of certain marketing strategies are all pieces of information that you will need to set your prices in a way that maximizes your profits while still increasing your customer base.[read more]

Internet of Everything

With smartphones, broadband, tablets, embedded sensors, and more bathing the world in Internet connectivity, we are watching the retail industry fell giants and create new ones in weeks and months instead of years. Here's a slideshare on how the Internet of Everything is changing retail.[read more]

Decision management tool / shutterstock

Decision Optimizer is one of FICO’s Decision Management Tools and is designed to address some specific challenges in customer decisioning, particularly that there are often competing objectives and very large numbers of customers (and thus customer decisions) involved.[read more]

database / shutterstock

Your messaging needs to engage. You need to make sure that you are communicating with relevance. Your marketing database is what will help you create this relevance. Here are seven key considerations to rejuvenate your marketing database.[read more]

BI roadblocks?

People have been writing about the limitations of self-service BI for years. What does the failure of self-service BI mean for Big Data? Big problems. Unless self-service and pervasive BI become the norm, enterprises will never productively tap the business ROI from Big Data.[read more]

Marketing automation

Leading marketing and advertising agencies are discovering that marketing automation is giving them the power to outflank their competition. Here are the steps you can take to automate your marketing, improving your customer service and your profits in the process.[read more]

Future of video streaming

Fact #1: the video streaming category is getting crowded. And, fact #2, it’s getting more than a little competitive, as media companies are moving into streaming video looking for their own new revenue streams. What does this mean for consumers?[read more]

Customer data / shutterstock

Focusing on customer retention and reducing churn instead of customer acquisition, Gainsight integrates with Salesforce and uses sales data, surveys, support tickets, usage logs and other sources of customer intelligence to turn customer retention into an automated, data-driven process.[read more]

Future of Big Data / shutterstock

Big Data and ROI. Many of you will be asked to justify the investment you’re making in Big Data Analytics technology. ROI is key term you’ll hear. But companies that are trying to look at Data Analytics as a tactical budget item are in trouble. Here's why.[read more]

Big Social Data

From eating and drinking to watching entertainment to reading, just to name a few, the social conversations of consumers often reveal tremendous insight on their interests, activities, likes, dislikes, attitudes and behaviors simply as a byproduct of their ‘off-line’ engagements while engaging online.[read more]

perception gap

Consumers believe Sears is just for tools and electronics; is this the perception Sears wants to portray? What is Kroger doing better than others are? Walmart tweets way more frequently than other brands, and consumers reciprocate. 4 brands, 1 week and 100,000 Tweets: this infographic lays it all out for you.[read more]

A new analytic architecture

Gartner recently published a new research note called ‘Market Trends: The Collision of Data Discovery and Business Intelligence Will Cause Destruction.’ (Data discovery is Gartner’s term for Business Discovery.) The Gartner report sets out two possible scenarios.[read more]

Predictive analytics whiz: Dr. Eric Siegel

In this interview, Social Media Today's Henry Spethmann speaks with Dr. Eric Siegel -- author of the new book "Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die" -- about what predictive analytics is and how it can be applied to a number of different disciplines.[read more]

data flow

With big data come a few challenges. What can we do when data flows faster than it can be processed? There is a solution that benefits everyone (users, companies such as Google, Amazon, Netflix, Facebook or Twitter, and clients): better use of data science.[read more]

Data analysis team

Ron Johnson, the retail superstar behind the Apple store and Target’s turnaround, was hired to bring Penney back to profitability—and failed. It should be a lesson for us all. Company leaders—CEOs and boards—should hold decision-makers accountable for making data driven decisions.[read more]