Data analysis forms the backbone of modern marketing ecosystems. Every marketing campaign that you run can be analyzed vis-a-vis user behavior, messaging, demographics and so on. While the jury is ...

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

Yesterday SPSS started shipping its Predictive Web Analytics product to combine historical and predictive insights from Web activity. The product marks the first prepackaged solution combining SPSS ...

Before building a predictive model, however, analysts must transform data into a format that the analytical engines can process. Traditionally this was done by developing scripts and algorithms ...

Predictive analytics in financial forecasting analyzes past and present data to improve the accuracy of planning and budgeting. Historically, accountants have depended on manual spreadsheet analysis ...

Google Analytics introduced two predictive metrics to App + Web properties this July, which focus on purchase and churn probability. Google Analytics launched its App + Web feature in 2019. True to ...

Businesses have been clamoring for ways to incorporate data analytics into their operations for years. The rise of digital products has made it easier than ever to collect information about customers ...

Predictive analytics offers brands a powerful tool to boost customer retention and improve the customer experience. By leveraging data and predictive modeling, brands can gain granular insights into ...

The success of a marketing plan in today’s competitive marketplace depends heavily on the persuasive power of campaigns. Predictive analytics support this process by providing insights from the common ...

The customer is king again. After decades of mass-market driven customer outreach, which typically lumped customers in large, homogenous segments, a complex mix of socioeconomic factors coupled with a ...