With over 100 eCommerce analytics tools on the market, we asked 30 pros to weigh in on their go-to tools.

Guest post by Bill Inmon “Bill Inmon is an American computer scientist, recognized by many as the father of the data warehouse. Inmon wrote the first book, held the first conference, wrote the first column in a magazine, and was the first to offer classes in data warehousing.” Source: Wikipedia. An article headline — “BIG DATA/AI BLAME FAILURES ON BAD DATA” — caught my attention.

Before we dive deeper into data parsing tools, we must understand what parsing means. Consider the following sentence: The adept software parsed the problematic data. Intuitively, we all understand what this means, but what if we broke it down into a simpler format? The process of dividing this sentence into its subject, verb, and object is known as linguistic parsing. By performing linguistic parsing, readers can better understand the intention behind an author’s words.

Analytics and data visualization are essential parts of modern business intelligence (BI). These tools help you better understand your business and improve overall decision-making. However, as your data grows and your users' analysis needs evolve, it may be time to upgrade your visualization solution to achieve better capability and reporting.

One of the most significant benefits of the modern data stack is the loosely coupled nature of each layer to help you adapt to change and capitalize on new business opportunities. You can choose the best solution which fits your need without long-term vendor commitments, and the risk of introducing complex integrations and IT management. One of the ways to achieve this loose coupling is through webhooks.

What is an actionable dashboard, and how do you create one? Learn how to build a dashboard that drives you to meet your business goals.