Ginni Rometty Quotes

There is a calculus, it turns out, for mastering our subconscious urges. For companies like Target, the exhaustive rendering of our conscious and unconscious patterns into data sets and algorithms has revolutionized what they know about us and, therefore, how precisely they can sell.

Companies are accumulating vast amounts of information about your likes and dislikes. But they are doing this not only because you're interesting. The more they know, the more money they can make.

The most important question regarding Big Data at almost any company is: How much are your customers really worth?

From now on, the technology companies that succeed will be those that have developed skills at listening and a sophisticated understanding of their customers' industries.

Social media has given companies access to unprecedented amounts of information on client behavior and preferences - so-called Big Data. But making sense of it all and turning it into actionable policy has been elusive.

Through our effective campaign-management strategies, we're seizing opportunities to capture additional insights on customer behaviors, allowing us to reach and communicate with them more effectively.

'Personalization' is a popular word in retail, and people often misuse it to describe simple marketing tactics, like segmenting emails or using big data to identify the likely gender of a visitor to their websites.

Big Data is neither color-blind nor gender-blind. We can see how it is used in marketing to segment people.

No great marketing decisions have ever been made on qualitative data

Data are becoming the new raw material of business.

In the Internet economy, information is everything: The more a company knows about a consumer, the more carefully it can tailor its advertising to that customer, and the more revenue it can generate in return.

The answers to today's most important scientific, business, and social problems lie in data.

I came from years and years in the direct marketing industry where everything is layered.

Everything is changing now that we are in the cloud in terms of sharing our data, understanding our data using new techniques like machine learning.

Lists that segment people into clearly-defined categories are particularly valuable to direct marketers, which can tailor their sales pitch to a particular demographic and, therefore, increase the likelihood of making a sale.

By now, we all know that our every move online can be tracked and traced, and that, ideally, services learn from and adapt to customers based on an artful deployment of that data.

I mean, at the simplest level, my entire background was in marketing, which largely is about understanding a customer, being able to be intuitive, being able to be empathetic.

We are drowning in information.

In the future, the best retail sites will know you much better and show you things that are much more relevant.

Targeted marketing delivers a lower customer acquisition cost and gets you to profitable growth faster. The goal is to quickly identify the costs associated with acquiring your most profitable segment of customers and the incremental value - if any - of going beyond your core.

Knowing your customer inside and out is mission-critical, and it takes time. It's impossible to hit on the insights that will ultimately decide your company's fate without putting them to the test - literally - even if that takes longer than you'd have liked.

Every company today is a data company whether they realize it or not.

Using science to tell us what customers are looking for is second nature for us here.

People are building apps that are doing super-crazy things, and there's a lot of talk about modeling and microtargeting. Facebook can predict when people are going to break up, and Target is able to predict if a woman is pregnant before she knows just based on the type of lotion she bought.

We use nearly 5 thousand different data points about you to craft and target a message. The data points are not just a representative model of you. The data points are about you, specifically.