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How AI is Lowering the Barrier to Entry for BI and Analytics

Birst BI

Despite the efforts of Cloud BI vendors making it easier for users to acquire, explore, and analyze data sources without IT dependency, lack of data literacy and analytic skills still hinder widespread adoption for data-driven decision making. What happens next is a treasure hunt in identifying the drivers of the KPI’s behavior.

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Amplitude Product Recap: Our Biggest Innovations in 2020

Amplitude

For Amplitude, that meant diving deep into our customers’ challenges, and innovating across all aspects of our platform to become the complete, best-in-class solution for product analytics. . In 2020, we made major investments in core analytics, reimagined our data governance tools, and laid the foundation for personalization at scale.

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What AI Means to a Data Scientist

Birst BI

Machine learning has been part of the Birst platform from day one to automate the most complex analytic processes and accelerate the time to insight. Assess and validate the model with analysts and business users. This new metric can then be networked into the governed semantic layer. Develop and test a model in R Studio.

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5 Steps to Become More Comfortable Using Data

Amplitude

One of my responsibilities is to share best practices on how to leverage user behavioral data to make better decisions about their products. For user behavior data, the Data Dictionary or Taxonomy Sheet lists the user actions and descriptions of what each means. Establish a Data Governance Strategy. Collecting New Data.

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Data Product Manager

ProductPlan

According to the educational organization Udacity, “the primary function of a data product manager is to balance the strategy, governance, and implementation of anything data-related, and facilitate the conversations between all impacted stakeholders—executives, engineers, analysts, other product teams, and external customers—who consume the data.”.

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What is the Product Operations Career Path?

ProductPlan

A strong product operations worker must know the product well, which demands deep curiosity and insight. Product managers face a firehose of customer data. And there are increasing calls for customer obsession and direct contact with customers. Good perspective-taking skills are also necessary.

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Product Metrics Your Board Members Care About

Gainsight

Six years ago , people didn’t present about customer success (CS) in the boardroom unless it was a major escalation. Historically, board meeting agendas were often limited to corporate governance, financial performance, and sales activity. Customer Success: retention, health scores, etc. Sales: bookings, pipeline, etc.