How Marketers Will Measure Campaign ROI After Third-Party Cookie Deprecation

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.

Worksheet Best Practices - ThoughtSpot Success Series #5

Introducing the ThoughtSpot Success Series! Want to expand your knowledge of ThoughtSpot? Want to learn some great tips and tricks? Join ThoughtSpot's Customer Success team and other users like yourself as we discuss various topics in our new Success Series. During this event, we'll share how to build a ThoughtSpot use case pipeline that allows you to maximize the value return on investment & maintain momentum.

BI Compliance: Can a Restructure Deliver Enhanced Data Privacy?

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.

ELT: Easy to Deploy, Easy to Outgrow

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.