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How The Top 25 B2B Public Companies Have Performed In 2025 So Far — And What They Tell Us About the Future

SaaStr

What this means for founders : If you can get security clearances and build something the Pentagon needs, you’re not in software anymore—you’re in the defense contractor business. And defense contractors don’t trade at 10x revenue. Tier 2: Mission-Critical Infrastructure Average Return: +12.5%

B2B 236
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The $939B Question: Is AI Eating SaaS or Feeding It?

SaaStr

The company later clarified it didn’t actually “replace” Salesforce with pure AI — it consolidated data onto its own tech stack using tools like Neo4j and built new interfaces. Industry observers like Josh Bersin remain skeptical about replicating complex systems like Workday’s payroll and compliance frameworks.

AI Search 235
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Using Generative AI to Drive Corporate Impact

TechEmpower SaaS

This shift allows business to reallocate human resources to more complex and strategic roles, or eliminate those positions entirely. Post-sale, AI analyzes customer data to improve service and loyalty, making it a cornerstone of modern sales methodologies.

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The Paradox of AI and Data Roles: How Automation Will Increase Demand for Data Professionals

Tom Tunguz

AI will automate 25-50% of white collar work including data analysis. Does that will data teams shrink in size? On the contrary, while AI can automate some work, it will also demand much more from data teams. Typical tasks - writing SQL & charting data - will become mostly automated.

AI 186
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12 Funnel Tracking Software Tools For Data Analysis in SaaS

User Pilot

You’re able to track new users as they discover your business, sign up for a free trial , and eventually start paying for your services. When to use funnel analysis software Funnel analysis software can be used for a range of applications. Free : Get unlimited heatmaps and automated data capture. Userpilot pricing plans.

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Top 10 Trends for Data in 2024

Tom Tunguz

First, they have driven an increased demand for data and are causing a complete architecture inside companies. Second, they change the way that we manipulate data. Analysts will use automated data analysis, and it will be an expected tool in every product : notebooks, BI, databases, etc.

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Best Practices for Revenue Management

Blulogix

Schedule a Demo Today Best Practices for Revenue Management: Supporting Growth and Profitability Effective revenue management is critical for achieving business growth and ensuring profitability. Businesses need to predict future revenue streams based on historical data, market trends, and customer behavior.

Revenue 52