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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. The cloud data lake architecture enables companies to achieve scale, flexibility, and accessibility.

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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. Creating nominal scale questions in Userpilot.

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Best Data Analysis Software

Neil Patel

Everyone has questions when it comes to choosing data analysis software. Why are there so many data analytics tools? You have to arrange your data, explain it, present it properly, and then derive a conclusion from it. Luckily, data analysis software can seriously simplify data analysis—provided you choose the right one.

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Building an API for powerful customer data analysis

Intercom, Inc.

. “If the data isn’t easily searchable and usable, it can effectively come between a business and its customers, obscuring the real people we’re trying to connect with” However, key to this is having appropriate context – and at a large enough scale and with enough data, it’s possible to lose the person in the numbers, so to speak.

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Behavior Patterns UX: 8 Types & How to Identify Patterns With Data Analysis

User Pilot

Collect user feedback at scale with Userpilot. Funnel analysis : Use tools such as Userpilot to track how users progress through each funnel stage. Analyze the funnel analysis report to identify where users are more engaged and parts of the funnel where drop-offs happen the most.

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My Laptop is Faster than Your Cloud : Announcing MotherDuck

Tom Tunguz

For the last ten years, the data ecosystem has focused on big data - the bigger the data set, the more exciting. Instead of requiring a scale-out database in the sky, most analyses are faster with an optimized database on your computer that can leverage the cloud when needed. But most workloads aren’t massive.

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How Does Scaled Data Labeling Work With Marketing?

Neil Patel

With scaled data labeling, you can train your algorithm to analyze customer review sentiments. That’s right, data labeling can do more than just categorize data based on keywords. With the right data model, you can teach it to connect the dots and give sentiment scores to each review you receive.

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