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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 190
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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 277
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Data Product Teams : Best Practices for a Modern Data Team

Tom Tunguz

Data teams are becoming software engineering teams. On December 14th we welcomed Philip Zelitchenko , VP of Data from ZoomInfo, to talk about how he has built this discipline within his team & it was fascinating. Unlike code, data is stochastic or unpredictable. Data may change in size, shape, distribution, or format.

Data 196
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Eliminating Data Downtime with Data Observability - Why We Partnered with Monte Carlo Data

Tom Tunguz

At Redpoint, we believe 2020 is the decade of data. We’ve partnered in the leaders of the next generation of data from the earliest stages; companies like Snowflake, Looker, and Dremio. Leaders rely more on data every day to inform our decisions, to power our products, and to communicate.

Data 346
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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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Mailchimp’s ex-Head of Data Platform: “Data Doesn’t Have to be Hard — Three Data Myths and How to Bust Them”

SaaStr

Data Doesn’t Have to be Hard: Three Data Myths and How to Bust Them with Mailchimp with John Humphrey, former Head of Data Platform Product at Mailchimp John Humphrey, former head of data platform product at MailChimp and current principal at mfact, joined SaaStr live at Workshop Wednesday to discuss three data myths and how to debunk them.

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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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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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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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Deliver Mission Critical Insights in Real Time with Data & Analytics

In the fast-moving manufacturing sector, delivering mission-critical data insights to empower your end users or customers can be a challenge. Traditional BI tools can be cumbersome and difficult to integrate - but it doesn't have to be this way.

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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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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!