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Cloud Data Lakes - The Future of Large Scale Data Analysis

Tom Tunguz

Cloud Data Lakes are a trend we’ve been excited about for a long time at Redpoint. This modern architecture for data analysis, operational metrics, and machine learning enables companies to process data in new ways. We’re all storing data at increasing rates because every team inside a company needs data to succeed.

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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.

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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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How our infrastructure scales alongside our customers

Intercom, Inc.

We are building for the long term – that means ensuring reliability by default, and the ability to accommodate massive scale as we grow. . As these existing customers have grown, and we’ve welcomed bigger and bigger customers, we’ve always focused on saying yes to scale. . We’re growing alongside our customers. Can Intercom do that?

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Managing Product Feedback at Scale

With so many voices competing for attention, you need a means of effectively dealing with all of the data that will come your way. How to make more strategic product roadmap decisions based on data, not opinions. In this eBook, we’ll show you: How to gather, prioritize, and select the best ideas from your customers and stakeholders.

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High NRR Can Scale Infinitely. Invest More There.

SaaStr

You probably can roughly sense this looking at the data we now have after so many SaaS IPOs, but I thought it would be helpful to put some data in one simple table here: It’s all across the board. But the vast majority of the top SaaS and Cloud companies have shown top-tier NRR can scale forever. So there are no excuses.

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Survey Data Analysis for SaaS: Understanding User Feedback At Scale

User Pilot

Wondering how to unlock the full potential of your survey data and if survey data analysis will be of any help? The sheer volume of data generated can quickly become overwhelming, and this is where survey data analysis can help you. Quantitative data is numerical data or information you can easily measure for analysis.

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How Collecting and Managing the Voice of the Customer Will Strengthen Your Product

Unfortunately, even the most sophisticated organizations often lack clear strategies and processes for collecting and managing the voice of the customer at scale—or worse, they simply ignore this valuable source of data.

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Value-Driven AI: Applying Lessons Learned from Predictive AI to Generative

Speaker: Data Robot

Most enterprises have now experienced their first successes with predictive AI, but the pace and scale of impact have too often been underwhelming. Enterprise AI maturity has evolved dramatically over the past 5 years. Now generative AI has emerged and captivated the minds and imaginations of leaders and innovators everywhere.

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Build Trustworthy AI With MLOps

In our eBook, Building Trustworthy AI with MLOps, we look at how machine learning operations (MLOps) helps companies deliver machine learning applications in production at scale. For businesses that are AI-driven, this trust hinges on the confidence that their AI solution can help them make their most critical decisions.

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Managing Product Feedback at Scale

With so many voices competing for attention, you need a means of effectively dealing with all of the data that will come your way. How to make more strategic product roadmap decisions based on data, not opinions. In this eBook, we’ll show you: How to gather, prioritize, and select the best ideas from your customers and stakeholders.

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Upgrading Data Security in a Crisis

Speaker: M.K. Palmore, VP Field CSO (Americas), Palo Alto Networks

In most cases, the COVID-19 crisis has sped up the desire to engage in digital transformation for medium-to-large scale enterprises. In this webinar, you will learn: The future of data security. How to update existing tech stacks to optimize data security. Roadmaps are rarely implemented without challenges. And much more!

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How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? Save your seat for this exclusive webinar today! March 14th, 2024 at 9:30am PDT, 12:30pm EDT, 4:30pm GMT Use this webinar to earn professional development hours!

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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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Leveraging Consumption to Drive Growth: The SaaS Expert's Guide to Usage-Based Pricing

Speaker: Igor Stenmark, Andrew Dailey, &Youssef Yaghmour

However, despite the growing recognition of its benefits, there is a lack of comprehensive guidance on the practical steps to launch, expand, and scale these intricate pricing models. Integrate with your external systems, from your CRM to your ERP, to synchronize data and align reports and dashboards across your entire ecosystem.