Combining best practices with "best-in-breed" tools will help organizations to deliver successful solutions in a more timely and cost-effective fashion. Automating "pre-ETL" processes helps to ...

The data management discipline known as data integration (DI) has undergone an impressive expansion over the last decade. Today it has reached a critical mass of multiple techniques used in diverse ...

Digital-first continues to accelerate, along with the creation of customer data. As such, it’s essential for companies to implement these data best practices. The pandemic has pushed companies to ...

Data integration is a crucial aspect of workplace efficiency and maintaining compliance. Learn how data integration tools provide greater visibility and control. Image: Andrey Popov/Adobe Stock ...

NEW YORK—There are a few best practices when it comes to integrating set-top box (STB) and Smart TV data, according to a new study from the Coalition for Innovative Media Measurement (CIMM). The ...

Mark Rochester is the principal product architect at BitTitan, where he works closely with the product management, sales and marketing teams to build market-leading products and features that address ...

The promise of AI is immense, but so is the challenge of integrating it effectively. For businesses ready to take the plunge, the first step is understanding how to align AI initiatives with ...

Annotation involves labelling data sets to make them more valuable to human readers or machines. As a result, annotation is quickly becoming an important sub-discipline within machine learning, where ...

The true measure of an effective data warehouse is how much key business stakeholders trust the data that is stored within. To achieve certain levels of data trustworthiness, data quality strategies ...