Systems | Development | Analytics | API | Testing

In this episode of the Metrics & Chill podcast, Logan Lyles, VP of Customer Experience at Sweet Fish Media, talked about how they lowered revenue churn from 15% to 3% in 12 months despite the pandemic.

Business intelligence (BI) teams include roles that sound similar at first, but each comes with its own distinct responsibilities and skillsets. By understanding each of these positions, you can build a BI team that delivers the solutions and capabilities to help your organization get the most out of big data.

If you're storing or processing education records, it's absolutely essential that you're familiar with FERPA. But what is FERPA exactly, and how does FERPA relate to data privacy? We go over everything you need to know.

Every marketer knows the old John Wanamaker quote, “Half the money I spend on advertising is wasted; the trouble is, I don’t know which half.” With the introduction and evolution of multi-touch attribution (MTA), the media industry has moved closer than ever to understanding the impact of each touchpoint on a customer’s behavior, from signing up for a newsletter to making a purchase.

Make sure your data integration solution can connect to critical data sources.

Every data-driven business is terrified of the prospect of a data breach. Exposing sensitive data could mean reputational damage, loss of clients, and heavy fines under emerging privacy laws. But every data-driven business also wants to make use of its data. Business intelligence (BI) platforms allow anyone to build complex and detailed dashboards that help them understand the organization’s current state. How do you resolve this tension? One approach is to build a privacy-first data structure.

Extract, load, transform (ELT) technology is a type of data pipeline that ingests data from one or more sources, loads the data into its destination (typically a data lake), and then allows end-users to perform ad-hoc transformations on it as needed. ELT can perform mass extraction of all data types, including raw data, without the need to set up transformation rules and filters before data loading.