Introduction Multi-valued categorical data is ubiquitous and critical to businesses across multiple industries. Most real-world data that businesses store is…
What is Data Mining? Data mining is the process of analyzing data to uncover hidden knowledge; this is also known…
Temporal data is one of the most common and essential data types for enterprise AI applications, such as demand forecasting,…
Predictive and prescriptive analytics are two forms of advanced analytics. Predictive analytics helps us predict future outcomes, whereas prescriptive analytics…
Predictive analytics is a form of advanced analytics that can help us predict future outcomes and identify risks and opportunities.…
An overview of common time-series modeling techniques Time-series (or temporal) data are among the most common and essential data types…
Predictive analytics is an umbrella term for the use of data to predict future outcomes. The basic idea is that…
Case Study: Identifying and Addressing Risk of Non-Payment Amongst Patient Groups. How a healthcare provider used data technology to significantly…
Case Study: Increasing Cross-Selling Conversion Rates Tenfold Challenge A major telecommunications company needed to identify customers most likely to upgrade…
Updated The past couple of years have seen dramatic changes as the pandemic first drove the need for more online…
Predictive analytics, often also referred to as advanced analytics, has grown from a niche practice to an essential part of…
Challenge This US Manufacturer of Industrial Equipment needed to predict customer churn, but with 10,000+ clients, and pressure to implement…