Track Sales Velocity by Source in HubSpot (Using This Smart Dashboard Setup)

Want to know which marketing channels are driving your fastest and most valuable deals? In this video, Alex Lee, Sr. Business Analyst at Intellect, walks through a powerful HubSpot + Databox dashboard setup that maps sales velocity over time—tracing today's closed-won deals back to lead generation efforts from 60–90 days ago. By offsetting timelines for new leads, discovery calls, and closed deals, you’ll get a more accurate view of pipeline health and velocity. Plus, learn how segmenting by lead source uncovers which channels are producing your highest-converting leads the fastest.

Webinar Reporting Made Easy: How to Combine Zoom + HubSpot Data for Clear Insights

Struggling to report on webinar performance in a way that actually makes sense to your exec team? Ali Schwanke from @SimpleStrat built a clean, custom dashboard that merges Zoom and HubSpot data—giving her full visibility into webinar ROI. In this video, you'll see how she tracks attendance, first-touch conversions, lead source attribution, and more over time. By blending registration, engagement, and survey data from Zoom with lifecycle insights from HubSpot, she reveals which webinars drive results—and why.

insightsoftware Data & Analytics | Reporting, Dashboards, AI Insights

@assignees please use this: insightsoftware Data & Analytics | Reporting, Dashboards, AI Insights The insightsoftware Data & Analytics platform helps you connect, prepare, and analyze data across your organization. It supports everything from governed reporting and operational dashboards to self-service analytics and AI-powered insights.

Dual MCP Support in Astera AI: What it is and Why it Matters

Enterprise automation didn’t start with AI agents, but they’ve had a much bigger impact than earlier automation methods, such as software scripts or bots. Modern AI agents can do a lot more than tackle repetitive tasks. They can reason through complicated workflows, choose the best course of action, and access tools to execute said action. But to do all this, AI agents require interoperability. They need to be able to connect to numerous tools, databases, services, and APIs.

Unlocking Real-Time Analytics on AWS With Tableflow, Apache Iceberg, and the AWS Glue Data Catalog

In today's competitive landscape, data warehouses and data lakes are the essential platforms for business intelligence, analytics, and AI. While immensely powerful, these systems were traditionally designed for batch data processing, often leading to insights based on data that is hours or even days old. The primary challenge has always been the complexity of bridging the gap between real-time data streams, typically flowing through Kafka, and these analytical systems.

Part 2 - "Hello World" - Integrate Qlik Automate with Qlik Cloud Analytics

"Hello, World" — the training wheels of learning. It’s the simplest proof that you’ve taken your first step—and from there, it gets addictive fast. Now, speaking of first steps... Part 2 of "Taking Action on Your Data" is live! In this video, we dive into how to connect your Qlik Analytics Apps to a Qlik Automate workflow—an easy win to start taking action on your data.

Why CFOs Need Connected Solutions Now More Than Ever

The evolving market landscape is driving an urgent need for a unified enterprise performance management (EPM) solution, as finance teams face increasing pressures from several fronts. Rapid technological advancements, heightened competition, and the growing complexity of global markets have made financial agility and real-time decision-making critical to maintaining a competitive edge.

From Data to Insight Activation: Key Takeaways from Data Summit 2025

Every year, Data Summit attracts data professionals to Boston for three days to exchange ideas and innovation. In 2025, the event was dedicated to data management trends, Big Data, business intelligence (BI), analytics, as well as emerging innovation in AI and machine learning. At the Data Summit, Sami Akbay, insightsoftware’s Head of Data Analytics Projects, hosted a session on the evolution of BI, the rise of generative AI, and the shift toward insight-driven workflows.