Working with massive amounts of data is essential in modern business. Data affects every business decision, with lasting effects on customer relationships. Getting customer data into applications is ...
Historically, there have been significant barriers for firms to gain meaningful insights and value from cloud data content because of disparate datasets that are unstructured in nature, according to ...
Elevating firm-wide decision making through better data hygiene, structure and activation will make all the difference in ...
Onboarding in financial institutions is a data-driven process that goes beyond just welcoming a new client. It also encompasses existing clients seeking to establish new entities or open additional ...
Triggered? That’s how your customers feel when they’re trying to get their data to you. If only they could see the value of your product faster; instead, they ...
Publicis Groupe-owned Epsilon has been in the CRM business for 30 years, but the agency only launched a self-service digital CDP for enterprise clients late last month. Epsilon noticed more of its ...
Add Yahoo as a preferred source to see more of our stories on Google. Data cleansing -- prepping data for applications like predictive analytics -- takes time. In fact, data scientists spend an ...
It’s counterintuitive, perhaps, but the majority of social media advertising demand comes from small businesses. And TV ad tech companies are trying to make it easier for small businesses to apply ...
This content is provided by an external author without editing by Finextra. It expresses the views and opinions of the author. The partnership integrates Data Zoo’s comprehensive global data assets ...
JERSEY CITY, N.J.--(BUSINESS WIRE)--Data Zoo, a global leader in identity verification data, has announced a strategic partnership with Alloy, an identity and fraud prevention platform provider ...
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More The pandemic accelerated hybrid work and cloud adoption — but it also ...
Data cleansing — prepping data for applications like predictive analytics — takes time. In fact, data scientists spend an estimated 60% of their time cleaning and organizing data, according to one ...