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Building an API for powerful customer data analysis

Intercom, Inc.

Building a boring but innovative solution. Intercom has long relied on Elasticsearch as our primary way of searching data for internal use, as well as using it to power some of our product features (such as Inbox Search). The post Building an API for powerful customer data analysis appeared first on Inside Intercom.

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Using Generative AI to Drive Corporate Impact

TechEmpower SaaS

Generative AI is revolutionizing how corporations operate by enhancing efficiency and innovation across various functions. Working closely with world-class medical experts, we have created an innovative solution that achieves accuracy and can be tailored to particular medical practices.

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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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How to Conduct Qualitative Data Analysis? (+The Best Tool to Use)

User Pilot

Let’s face it: qualitative data analysis is vital to understanding why users act in a particular way and how they feel about your product in a way that quantitative product analytics can’t. This article will teach you how to analyze qualitative data to inform product development and improve the product experience.

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Data Lake Engines - The Essential Layer of the Next Generation Data Architecture

Tom Tunguz

And because the system doesn’t move data, your team reduces its data analysis costs at the same time. Amazon operates its data lakes in this way. At Redpoint, we’re passionate about innovations in data. We believe that the best companies run on data-based decision making.

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My Company’s Revenue Dropped to $0 — and We Thrived with TripActions CEO Ariel Cohen (Video)

SaaStr

Companies that capitalized on these unique circumstances, however, have emerged stronger than ever by innovating new ways to sustain their business. Here are four fundamental actions to consider for your risk management plan: Use historical data, analysis, and established precedents to contextualize and estimate the scope.

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$100 Million ARR Pivot: From Platform Product to Vertical Apps With Treasure Data CEO Kazuki Ohta (Podcast #506 and Video)

SaaStr

At $5 million ARR, the positioning shifted to a “big data-as-a-service” platform. The product grew more mature, with three main functions: data collection, data warehouse, and data analysis. . The platform innovations slowed temporarily, which drove churn higher.