Digital

Data Visualization is the most elegant way to connect data analysts & end-users by visually presenting complex analyses & insights.

Using a Bump chart, you can compare the position, performance or rankings of multiple observations rather than the actual values.

A scatter plot is a 2-dimensional visualization technique that uses dots to represent values for two different variables plotted along the x- and y-axes.

CRISP-DM is a common standard for machine-learning projects and remains one of the most widely used data mining/predictive analytics methodologies.

Boxplot is a method for graphically depicting groups of numerical data through their quartiles. They summarize data from multiple sources and display the results in a single graph.

Revenue model is a critical component of business strategy that helps create sustainable business models along the eCommerce value chain.

Data onboarding—the preparation of unfamiliar data from disparate sources, both internal and external to the organization—is a complex process.

Data munging is the process of cleaning and unifying complex data sets for analysis, in turn boosting productivity within an data science project.

We live in an exciting yet challenging time for data visualization. As we enter the information age, it’s both exciting and terrifying to imagine what the future holds in store for us.

Data storytelling requires a structured approach for organizing and communicating the insights from data using three core components - data analysis, visualization, and narrative.