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Does SEO Still Work? Our Data Says “Yes But”

SaaStr

Organic Search remains our #1 source of SaaStr readers for 13 years straight: But, I can also tell you what our data says. Our Data Says “Yes But” appeared first on SaaStr. That’s a gift. At a high level, as big a gift in 2024 as 2011. Which is that we have literally 100x more quality content than 2011-2014.

Data 306
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The Rise of Data Lakes in Software Architecture

Tom Tunguz

Historically, software-as-a-service (SaaS) has been built on databases with structured data, as you might find in an Excel spreadsheet. But the ability of large language models to extract insights from unstructured information changes this architecture : data repositories like data lakes are becoming essential parts of modern SaaS stacks.

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Is a Bigger Booth at Events Really Worth It? The Latest SaaStr Data

SaaStr

The answer is probably Yes, if we look at the actual, hard SaaStr data from SaaStr Annual 2024: What you can see above is: As the booth gets bigger, the number, almost linearly Activations are a big deal. So if you are doing them, the data suggest lean is as much as you can. The Latest SaaStr Data appeared first on SaaStr.

Data 276
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The PostModern Data Stack

Tom Tunguz

If the Modern Data Stack is dead, what replaces it? The Postmodern Data Stack. This idea is taking hold in data. Two juggernauts, Snowflake & Databricks, are challenging the dominance of Google, Microsoft, & Amazon at the biggest scales of data. We will discuss the Postmodern Data Stack at TC Disrupt in October.

Data 208
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Modern Data Architecture for Embedded Analytics

Every data-driven project calls for a review of your data architecture—and that includes embedded analytics. Before you add new dashboards and reports to your application, you need to evaluate your data architecture with analytics in mind. Expert guidelines for a high-performance, analytics-ready modern data architecture.

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Modern Data Architectures : Jordan Tigani of MotherDuck on Office Hours

Tom Tunguz

Jordan’s path through data starts with being the founding tech lead on Google Big Query to SingleStore’s Chief Product Officer to MotherDuck’s CEO. He wrote the Big Data is Dead , explaining that a power law applies to most companies’ data. This also works in reverse.

Data 237
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Is a Bigger Booth Worth it at Top Industry Events? Surprisingly — Our Data Says Yes. Really Worth It.

SaaStr

The data: Qualified Leads this year ranged from 95 at lowest-yielding of almost 200 sponsors, to 1597 at the top — a wide range But on average, each Gold got 207 Qualified Leads Next up? Finally, and this might be the most important data of all: You gotta put in the work. But at least now we can speak with data.

Data 316
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4 Approaches to Data Analytics

The world of data analytics is changing fast as organizations look to gain competitive advantages through the application of timely data.

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Using Data & Analytics for Improving Healthcare Innovation and Outcomes

In the rapidly evolving healthcare industry, delivering data insights to end users or customers can be a significant challenge for product managers, product owners, and application team developers. The complexity of healthcare data, the need for real-time analytics, and the demand for user-friendly interfaces can often seem overwhelming.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.

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Monetizing Analytics Features: Why Data Visualization Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Download the whitepaper to learn about Monetizing Analytics Features, and Why Data Visualizations Will Never Be Enough. Five years ago they may have. But today, dashboards and visualizations have become commonplace.

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Contact vs. Company Intent Signal Data

Contact and company intent data both have their advantages. This infographic unpacks the advantages of both contact and company data and gives details about how B2B marketers can benefit from both. This infographic unpacks the advantages of both contact and company data and gives details about how B2B marketers can benefit from both.

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ABCs of Data Normalization for B2B Marketers

Data normalization. However, if lead generation, reporting, and measuring ROI is important to your marketing team, then data normalization matters - a lot. At its core, data normalization is the process of creating context within your marketing database by grouping similar values into one common value. Why is this so essential?

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Mastering Intent Data: Understanding its Importance & Best Practices

Speaker: Joe Apfelbaum, CEO of Ajax Union

In this webinar, Joe Apfelbaum, CEO of Ajax Union and business strategist, will take you through the ABCs of intent data. You'll learn how to effectively use it to drive business results, with practical tips on how to leverage both company and contact intent data to maximize your marketing efforts.

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1st, 2nd, and 3rd Party Intent Data: Which Is Right for You?

How do 1st, 2nd, and 3rd party intent data compare? 1st, 2nd, and 3rd party data each have specific advantages and disadvantages. Intent data can be a great way to fill your pipeline and close more deals. Intent data can be a great way to fill your pipeline and close more deals. To learn more, get the infographic!