Software Alternatives & Reviews

Pingum VS InsightSquared

Compare Pingum VS InsightSquared and see what are their differences

Pingum logo Pingum

Notify team members of critical events so they can react

InsightSquared logo InsightSquared

#1 for Salesforce.com Pipeline forecasting, profitability analysis, activity tracking: all the small business intelligence you need. Works using CRM data and automatic syncing.
  • Pingum Landing page
    Landing page //
    2021-09-16
  • InsightSquared Landing page
    Landing page //
    2021-09-29

  learn.insightsquared.comSoftware by InsightSquared

Pingum videos

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InsightSquared videos

InsightSquared Customer Webinar - A Sales VP's Guide to the Quarterly Business Review

More videos:

  • Review - Nate G. Reviews His Experience Using InsightSquared
  • Review - What is InsightSquared?

Category Popularity

0-100% (relative to Pingum and InsightSquared)
Data Dashboard
6 6%
94% 94
Business Intelligence
7 7%
93% 93
iPhone
100 100%
0% 0
CRM
0 0%
100% 100

User comments

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Reviews

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Pingum Reviews

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InsightSquared Reviews

8 Alternatives to Apache Superset That’ll Empower Start-ups and Small Businesses with BI
Apache Superset can hold a vast universe of SQL data to fit their users' needs. InsightSquared is a revenue intelligence specialised business intelligence tool. Therefore, InsightSquared integrations are limited to that purpose.
Source: trevor.io

What are some alternatives?

When comparing Pingum and InsightSquared, you can also consider the following products

Square Dashboard - Real time sales data and analytics for business owners

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

Lucidya - AI-powered social media analytics for businesses

Clari - Clari is a predictive analytics platform for sales people.

Zing Data - Free collaborative analytics designed for your phone

Sisense - The BI & Dashboard Software to handle multiple, large data sets.