Remove customer-data-platforms
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A Customer Data Platform History

RudderStack

The customer data platform origin story: How SaaS made a data silo mess and the CDP sought to solve it and deliver a complete customer view.

Data 58
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Repeatable Patterns For Designing Data Platforms And When To Customize Them

Data Engineering Podcast

Summary Building a data platform for your organization is a challenging undertaking. Building multiple data platforms for other organizations as a service without burning out is another thing entirely. Acryl Data provides DataHub as an easy to consume SaaS product which has been adopted by several companies.

Designing 100
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Build Your Own End To End Customer Data Platform With Rudderstack

Data Engineering Podcast

Summary Collecting, integrating, and activating data are all challenging activities. When that data pertains to your customers it can become even more complex. With simple pricing, fast networking, object storage, and worldwide data centers, you’ve got everything you need to run a bulletproof data platform.

Building 100
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Enabling the Customer Data Platform with Databricks ETL Support

databricks

Customer Data Platforms (CDPs) play an increasingly important role in the enterprise marketing landscape. By bringing together data from a wide variety of.

Data 77
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Embedded Analytics: A Force Multiplier for Business

Go deep with five insightsoftware customers as they share the details of their analytics journeys and discuss the transformative power of data.

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Exploring The Evolution And Adoption of Customer Data Platforms and Reverse ETL

Data Engineering Podcast

Summary The precursor to widespread adoption of cloud data warehouses was the creation of customer data platforms. Acting as a centralized repository of information about how your customers interact with your organization they drove a wave of analytics about how to improve products based on actual usage data.

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Deliver Personal Experiences In Your Applications With The Unomi Open Source Customer Data Platform

Data Engineering Podcast

In order to make it easier for developers to build customer profiles in a way that respects their privacy Serge Huber helped to create the Apache Unomi framework as an open source customer data platform. Missing data? Start trusting your data with Monte Carlo today! Struggling with broken pipelines?

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New Study: 2018 State of Embedded Analytics Report

Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.

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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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How to Package and Price Embedded Analytics

Just by embedding analytics, application owners can charge 24% more for their product. How much value could you add? This framework explains how application enhancements can extend your product offerings. Brought to you by Logi Analytics.

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5 Early Indicators Your Embedded Analytics Will Fail

Many application teams leave embedded analytics to languish until something—an unhappy customer, plummeting revenue, a spike in customer churn—demands change. But by then, it may be too late. In this White Paper, Logi Analytics has identified 5 tell-tale signs your project is moving from “nice to have” to “needed yesterday.".