Analytics

It’s no secret that companies that listen to their customers have a greater chance at success. That is why we value our customers’ voice at insightsoftware. You use our products every day to run your organization, make critical decisions, achieve your business goals, and bring success to your own stakeholders. This approach provides you with a unique perspective on how our offerings can be enhanced with new features and tools that help you and your end users work better.

How to preprocess data using BigQuery ML so you can get better insights and models.

A recent decision by the European Commission should make data transit from the EU to the US simpler.

In the realm of big data analytics, Hive has been a trusted companion for summarizing, querying, and analyzing huge and disparate datasets. But let’s face it, navigating the world of any SQL engine is a daunting task, and Hive is no exception. As a Hive user, you will find yourself wanting to go beyond surface-level analysis, and deep dive into the intricacies of how a Hive query is executed.

Mastering Salesforce means taking advantage of every tool that can optimize your workflows and improve efficiency. Salesforce offers a few process automation tools that make it easy for you to automate repetitive tasks, such as sending notifications, collecting data, and comparing metrics. Curious to learn more about how Salesforce automation tools work? This complete guide will help everyone in your organization.

What should you do when you want to increase traffic to your B2B SaaS website? We consulted B2B marketers about their tactics and challenges.

At ThoughtSpot, we believe making data accessible to every knowledge worker requires human-centered technology—an analytics experience that bridges the “language” barrier between technology and people. AI is the perfect compliment to search because it empowers organizations to analyze, understand, and act on data.

In the world of data management, the debate between Extract-Transform-Load (ETL) and Extract-Load-Transform (ELT) is an increasingly relevant topic. The essential difference lies in the sequence of operations: ETL processes data before it enters the data warehouse, while ELT leverages the power of the data warehouse to transform data after it's loaded.