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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 257
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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 240
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What is Data Visualization? + Visual Data Tools

User Pilot

Visual data surrounds us – colorful charts on weather reports, infographics on the web and in social media articles, map charts in presentations, etc. In the SaaS industry, data visualization is a powerful and widely used tool – from product managers tracking product performance to executives tracking revenue and user growth.

Data 100
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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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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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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 355
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Klaviyo: Benchmarking the S-1 Data

Clouded Judgement

Klaviyo Overview From the S1 - “Klaviyo enables businesses to drive revenue growth by making it easy to bring their first-party data together and use it to create and deliver highly personalized consumer experiences across digital channels. ” “Data Layer. ” “Data Layer.

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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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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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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!

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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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The 2019 Technographic Data Report for B2B Sales Organizations

In this report, ZoomInfo substantiates the assertion that technographic data is a vital resource for sales teams. reporting that technographic data is either somewhat important or very important to their organization. In fact, the majority of respondents agree—with 72.3%