
How Stephen Gould Scaled Its Capacity by 30% without Making a Single Hire
The Slingshot Blog
Get the latest trends in project management, team collaboration, data visualization and more. Here we share our knowledge, best advice, how-tos, research, insights, and more - all with the aim of helping you boost team results.
Slingshot makes it easy to work with your Excel and Google Sheet files in many different ways.
In this article, we review the key differences between Slingshot and Asana to help you make up your mind and choose the perfect solution for your team.
With account-based marketing, marketers quickly found that targeting accounts that have clear intent in their product or service drives massive outcomes. In this article, we will guide you on how to implement ABM is not so difficult, with the right technology and tools.
To maximize your chances of success, we’ve gathered all the necessary pieces that you need to assemble to build a marketing campaign that’s working from start to finish.
With a full business intelligence engine inside Slingshot, you can quickly connect to your different data sources and create dashboards within minutes.
Using R as a data analytics platform lets developers and data scientists create various types of visualizations to represent complex, raw data with minimum coding.
We've all heard that data matters for any company role. Data is what drives decisions and there is no doubt it's the only way to trust you're making the right ones.
In this article, we’ve gathered the top 35 marketing KPIs that everyone should track in order to understand and analyze the results of their marketing campaigns.
To help you choose the right project management software solution for your team and needs, we gathered this list of project management features that your project management software must have to deliver productivity, satisfaction, and peace of mind.
Using Python to create your data visualizations will help your users gain data insights in milliseconds compared to seconds or even minutes trying to analyze and understand large data sets of unformatted data represented in tabular formats