These top data modeling tools and applications enable users to build conceptual and logical data models that deliver significant competitive advantage. Written by eWEEK content and product ...

A data analytics model is a repeatable process that helps you identify key insights from your data. You can use these models to create visualizations, discover new insights, ...

Amid mounting digital transformation pressures, the top two categories for increased IT spending in 2019 are cloud computing—and on-premises data analytics, according to a recent Morgan Stanley ...

Data analytics is the process of analyzing data trends to gain knowledge and insight for better decision making. Written by eWEEK content and product recommendations are editorially independent ...

A predictive data analytics model is like a puppy: not a great investment unless one is willing to train and retrain it continually, according to Dave Wright (pictured), chief strategy officer of Se ...

Data analytics is used across disciplines to find trends and solve problems using data mining, data cleansing, data transformation, data modeling, and more. Business analytics also involves data ...

The Covid-19 pandemic reminded us that everyday life is full of interdependencies. The data models and logic for tracking the progress of the pandemic, understanding its spread in the population ...

Zoho Analytics: Best for self-service BI. Image: Zoho Analytics. Zoho Analytics is a self-service BI and data analytics software that democratizes data analysis, making it accessible to all levels ...

Figure 1: Centralized model for data & analytics management. In practice, however, there’s a few big problems with this approach. First, the data has to be so carefully curated and loaded, ...

Sparse data is still representing something within the variables. Missing data, however, means that the data points are unknown. Challenges in machine learning with sparse data. There are several ...