This course provides students with knowledge and skills to process data for business analytics. Topics include data quality requirement and data preparation for business analytics, impact of data ...

The Program for Data Analytics at Kellogg (PDAK) prepares managers to confidently harness the possibilities of data analytics and translate them into tangible business value. We partner with companies ...

Qlik’s data analytics, integration and quality product portfolio helps organizations prepare and manage data for a range of AI tasks. Qlik Staige, introduced in September, offers such AI ...

The integration of this new data with traditional data should produce high-quality information that is more detailed, timely and relevant. Data is the lifeblood of decision-making and the raw ...

Predictive analytics is a category of advanced data analytics aimed at making predictions about future outcomes based on historical data and analytics techniques such as statistical modeling ...

Whether your interests lie in the technical possibilities and challenges of new and emerging technologies or using Big Data for business intelligence, analytics ... to governance and security risks, ...

British startup Quantexa has made a name for itself over the years with its enterprise platform that employs AI and data analytics to fight money laundering and fraud. Today, the company said it ...

Achieving the right business outcomes from enterprise data initiatives has remained a lofty goal. Here’s why CXOs must be heedful of data quality. Organizations are in a race to be ‘data ...

Explore our top picks for the best CRM solutions with project management. Learn how data from call detail records can help you find fraud calls made by your phone system — and prevent them from ...

To help digital leaders better prepare their data and analytics (D&A) strategies, Gartner has identified the top D&A trends for 2025. "D&A is going from the domain of the few, to ubiquity.