
7 Sales Dashboards Every Team Needs (With Examples)
Want a clear view of your sales team’s performance? We explore different types of sales dashboards, what they show, and the key performance indicators to track.

Get More Done With the Summer ’23 CRM Analytics Release
Explore the newest features of CRM Analytics, helping you gain better visibility into your metrics and see new sales opportunities.

No One Understands Your Charts — Here’s How To Change That
Data charts are the linga franca of business, but they're often incomprehensible. Here are 5 easy ways to make your data visualizations sing.

Banking Customers are Nervous — Use Data and Technology to Restore Their Confidence
Communication is key for banking customers and stakeholders when it comes to managing risk. Here’s how improved technology can help.

Great Data Alone Won’t Make You Data-Driven – This Will
Companies are investing in data technology, and hiring more C-level data execs, than ever. So why do so many of them say they struggle to be data-driven?

Get More From Your Data With the Spring ‘23 CRM Analytics Release
Take a look at our latest updates, helping you make the most of the Salesforce Data Cloud and CRM Analytics.

7 Sales Dashboard Examples Every Leader Needs
Use these Salesforce management dashboards to help your sales team hit or exceed your revenue targets.

A CDP Is a Powerful Tool — Here’s How To Make It Work for You
What can a Customer Data Platform do for your brand? CDPs connect customer data so every team has insight into how a customer interacts with you on every platform.

Take the Guesswork Out of Insights With Winter ’23 CRM Analytics Release
Our newest release will help you get a clearer picture of your insights, make informed live predictions and see all of your analytics assets in one place.

You’re Probably Collecting Too Much Customer Data — Here’s the Sweet Spot
Collecting data ethically means gathering enough customer information to glean insight – but not so much that it raises privacy concerns. How do you know how much data is too much?