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Product Data Capture in SaaS: Challenges, Methods, and Tools

Userpilot

Common data capture challenges include: maintaining data quality, ensuring effective data governance, and breaking down data silos. This allows you to prioritize product development efforts and improve product performance. Poor data governance can lead to data breaches, legal penalties, and loss of customer trust.

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How to Develop a Video Streaming App: Features, Cost, and Tech Stack

The Product Coalition

In developing live streaming digital solutions for years, we’ve collected quite a massive of valuable insights, industry challenges, app feature trends, and development key points that will help you pave the way to building a demanded high-quality streaming platform. Its market share is projected to reach $534.37

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Succeeding with Product Delivery and Scrum: 10 Tips for Product People

Roman Pichler

Listen to the audio version of this article: [link] 1 Complement Scrum with a Product Discovery and Strategy Process Scrum is a simple framework that helps teams develop successful products. Continue the discovery and strategy work while the product is being developed. But don’t stop there.

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Getting Started with Product Data Management

Amplitude

The power of product analytics becomes apparent when any team at a company—marketing, product, design, engineering—can quickly ask and answer questions about user behavior and customer journeys. That way, when teams access the data through product analytics, they have a high degree of confidence in the insights they uncover.

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The offboarding process: how to ease the transition for your team

nulab

Many jurisdictions have specific laws and regulations governing the termination of employment. A well-executed offboarding process can help the company retain top talent and prevent bad blood between departing employees and those who remain. Notify the team. So, what is offboarding, exactly? It’s good business.

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Tools of the Trade: Visualizing Discovery with Opportunity Solution Trees

Product Talk

Instead of relying on someone else (like a coach or leader) to tell them what to do next, product teams can use an opportunity solution tree to keep track of their desired outcome , the opportunities they’ve identified to chip away at that outcome, and the solutions they’re considering to address those opportunities.

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Why data teams struggle with data validation (and how to change that)

Iteratively Blog

But how do you fix the garbage that is bad data management and quality? Especially if you don’t have control over the implementation of tracking code (as is the case with many data teams). Now, let’s look at why data teams struggle with this validation, and how they can overcome the challenges of it. Well, it’s tricky.