Analytics

Six Most Useful Types of Event Data for PLG

The success of businesses like Zoom, DropBox, and Slack demonstrates the power of product-led growth (PLG) as a strategy for scaling software companies in 2023. Central to this approach is event analytics, the practice of analyzing event data from a software product to unlock data-driven insights. Companies following a PLG strategy (“PLG companies”) use this data to inform product development decisions to enhance user experiences and drive revenue.

Top 7 REST API Tools

Integrations are everywhere, and data-sharing between systems is more vital than ever. Software applications use application programming interfaces (APIs) to ensure all moving parts work together. A REST API follows specific guidelines that dictate how applications or devices connect and communicate with one another to make integrations simple and scalable.

Why Finance Teams are Struggling with Efficiency in 2023

The results are in–for the third year in a row, insightsoftware has partnered with Hanover Research to deliver our yearly Finance Team Trends Report. Comparing results across the years shows an incredible journey for finance teams across the globe. The survey included 519 senior accounting and finance professionals across North America and Europe, the Middle East, and Africa (EMEA). 52% are located in North America while 48% are in EMEA.

Fivetran Demo: Elevate Your HubSpot Email Marketing Campaign with Fivetran and Sigma Computing

Identify your next best HubSpot email marketing campaign with all clicks, no code. Powered by Fivetran's HubSpot connector and Quickstart data model, visualized with Sigma Computing's HubSpot Campaign Analysis Template.

The Role of AI and Machine Learning in Future Product Analytics

In our data-driven world, the landscape of product analytics is rapidly evolving. With the rise of Artificial Intelligence (AI) and Machine Learning (ML), we're seeing a seismic shift in how businesses approach product development and enhancement. But how does AI and ML fit into product analytics, particularly for non-technical business leaders and marketers? And more importantly, what does this mean for the future? ‍