Analytics

Financial statements tell an important story, but they rarely tell the entire story. It often requires a sharp eye and a healthy measure of experience to elicit meaningful information from the numbers. Even people with keen financial acumen will have questions, and they can easily overlook important realities that lay buried somewhere within the details. For those with less experience reading financial reports, this task is far more difficult.

This is a guest post for Integrate.io written by Bill Inmon, an American computer scientist recognized as the "father of the data warehouse." Inmon wrote the first book and first magazine column about data warehousing, held the first conference about this topic, and was the first person to teach data warehousing classes.

Data security (or data protection) is a term often used in the context of analytics and business intelligence (BI). It encompasses a number of different policies, processes and technologies that protect an company's cyber assets against data breaches and threats. But what does all of that really mean, in relation to BI specifically?

Want to switch to GA4 but still have concerns about the platform? You’re not alone. We’ve talked to 40+ marketers about their most common concerns and how to overcome them.

Managers of data teams add value through alignment. Learn the essential criteria for evaluating the success of data team managers.

The amount of big data that enterprises churn out is simply staggering. All this information is worthless unless organizations unlock its true value for analytics. This is where ETL proves useful. Traditional ETL (extract, transform, and load) remains the most popular method for moving data from point A to point Z. It takes disparate data sets from multiple sources, transforming that data to the correct format and loading it into a final destination like a data warehouse.