Customer Data & Analytics Blog

Zylotech's commitment to balance for better

Christina Tramontozzi | 2 minute read

Today is a Friday and close to spring. These are reasons enough to rejoice but this special day also marks the 2019 International Women’s Day. The annual celebration has a rich history dating back more than 100 years after a Women's Day was established following a women-led protest in New York of unfair wages, long work hours and the lack of voting rights. It eventually expanded to an international holiday after other countries recognized it as a national day to commemorate on March 8.

Topics: Other

AutoML could help bridge the AI skills gap

Janet Wagner | 2 minute read

The number of companies currently using AI is growing rapidly along with the companies that want to start leveraging AI. But the shortage of AI talent is a significant problem for companies looking to implement AI technologies.

Time to rebalance your technology portfolio for digital transformation

Ariella Brown | 4 minute read

It’s the time of year when we’re gearing up for the spring forward (March 10). As we get set to advance our clocks, we should also be thinking about how we can advance our businesses on the road of digital transformation. That calls for making the necessary shifts in a technology portfolio to embrace the game changers, especially the ones that deliver on customer analytics.
Topics: Customer Intelligence

How to go from bad data to good quality data in your business

Christina Tramontozzi | 2 minute read

Every marketer already knows that data is their lifeblood. It’s our sauce to making effective marketing happen. Yet as data quality issues persist in B2B marketing, how to achieve good data quality doesn’t need to be a secret. With technology advances today, every B2B marketer can have good quality data.

Topics: Customer Analytics @ Work

K-Means: a popular algorithm for segmentation

Janet Wagner | 3 minute read

Many businesses today are using machine learning algorithms to build intelligent applications. One of the ways algorithms are used in marketing is customer segmentation- grouping customers based on specific qualities such as demographics or behavioral patterns.