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How Dialpad Hit $300M ARR by Building Their Own AI Stack: 5 Key Learnings

SaaStr

Consider a hybrid approach : You can start with third-party APIs while building your data foundation, then gradually move to custom solutions as you scale. Domain Data Is Your Secret Weapon Dialpad’s massive advantage comes from their 8 billion minutes of processed conversations.

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Dear SaaStr: What Should I Do in a Sales Audit?

SaaStr

Rep Performance : Dive into individual and team performance metrics. Metrics like time spent in each stage and reasons for lost deals can provide clarity. Compliance and Documentation : Check that all deals are properly documented and compliant with company policies. Identify top performers and those who need coaching.

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The Enterprise Journey: 8 Keys to Going Upmarket Successfully with Workiva’s CEO Julie Iskow

SaaStr

Focus on: Building robust security and compliance (SOC 2, ISO 27001) Automating customer onboarding/offboarding Creating enterprise-grade support processes Developing procurement relationship expertise Having clear data handling procedures 5. Master Enterprise-Grade Operations The operational bar is much higher in enterprise.

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The Journey from Freemium to PLG to SLG: Key Learnings from Dropbox, Salesforce and Vimeo

SaaStr

The requirements: Rock-solid customer data systems Sophisticated sales ops and revops Advanced operational data warehousing Modern customer data platforms And here’s the part that might surprise you: This needs to be a CEO-level priority. It’s not just product or sales – it’s operational excellence.

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Clouded Judgement 1.24.25 - The Year of Enterprise AI

Clouded Judgement

While cutting-edge language models have demonstrated remarkable capabilities, most are primarily trained on open internet data. In AI terminology, “generalizing” refers to a model’s ability to apply learned knowledge to new tasks or unseen data. This is what I’m calling “Enterprise AI.”

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Top 10 Trends for Data in 2024

Tom Tunguz

At the IMPACT Summit yesterday, I shared our Top 10 Trends for Data in 2024. LLMs Transform the Stack : Large language models transform data in many ways. 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.

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53 Questions Developers Should Ask Innovators

TechEmpower SaaS

What are your key Startup Metrics ? What special data, content, APIs, etc., What special data, content, APIs, etc., What’s the state of the relationships that brings you that data? Member Profiles What data is included? How does the application behave when location data is not available? Send messages?