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Best No Code Analytics Platform for Growth Insights

Userpilot

Data analytics plays an instrumental role at every step of building a successful product. Whether you’re building your user base or releasing a new feature, the right no-code analytics platform can help you make evidence-based decisions. Many of these tools even come with AI capabilities. Let’s get right to it.

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Tools of the Trade: Visualizing Discovery with Opportunity Solution Trees

Product Talk

The opportunity solution tree helps visualize all the work that goes into continuous discovery. And while opportunity solution trees have become increasingly common among product teams, there’s still plenty of room for customization, both in the way you set up your trees and the tools you use to build them.

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12 Best NPS Software and Survey Tools to Consider

Userpilot

Think of Net Promoter Score (NPS) software as a tool to measure your customers’ feelings about your product, and categorize them based on their level of loyalty (promoters, neutrals, and detractors). The great advantage of these tools is that they streamline the creation, distribution, and analysis of NPS surveys.

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Free vs Paid Analytics Platforms: How to Choose One (+ Best Tools in Each Category)

Userpilot

Analytics tools offer a competitive advantage for companies investing in prolonged product growth. However, not all companies can invest precious resources in an analytics tool. In reality, some companies are better served using free vs paid analytics platforms. There are different types of analytics tools.

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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? 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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Is Your Product Analytics Broken? How to Actually Act on the Data You Collect

Userpilot

You can gather all the user feedback or behavioral data you want or even generate tons of Google Analytics reports. Despite all these efforts, you’re probably still not acting on product analytics correctly. Why actionable product analytics are important. This causes siloed data and integration issues.

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Data-driven decision making in Healthcare: Insights from Dan Shirely (Product Manager, Analytics, Baxter)

Mind the Product

We spoke with Daniel Shirley, Product Manager, Analytics at Baxter International, to understand how product teams can prioritise roadmaps through visibility into feature adoption. At work, they call me “DataDan” since I lead Product Management for a segment of the Analytics products at Baxter Healthcare.

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How to Migrate From DataStax Enterprise to Instaclustr Managed Apache Cassandra

If you’re considering migrating from DataStax Enterprise (DSE) to open source Apache Cassandra®, our comprehensive guide is tailored for architects, engineers, and IT directors. Transition seamlessly to Instaclustr Managed Cassandra with our expert insights, ensuring zero downtime during migration.

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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. Using this case study, he'll also take us through his systematic approach of iterative cycles of human feedback, engineering, and measuring performance.

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Data & Analytics Maturity Model Workshop Series

Speaker: Dave Mariani, Co-founder & Chief Technology Officer, AtScale; Bob Kelly, Director of Education and Enablement, AtScale

Check out this new instructor-led training workshop series to help advance your organization's data & analytics maturity. It includes on-demand video modules and a free assessment tool for prescriptive guidance on how to further improve your capabilities. Workshop video modules include: Breaking down data silos.

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How Product Managers Can Learn to Love Reporting

Speaker: Eric Feinstein, Professional Services Manager, Looker

For a long time, Product Managers have found it challenging to design interfaces inside their products that users could use for reporting. It seems like PMs and engineers have grown to hate embedded reporting. How to evaluate embedded analytic solutions as strategy to greatly reduce initial and on-going engineering effort.

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Put Your Data to Work: The Complete Playbook

An interactive guide filled with the tools to turn your data into a competitive advantage. They rely on data to power products, business insights, and marketing strategy. This playbook contains: Exclusive statistics, research, and insights into how the pandemic has affected businesses over the last 18 months.

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Turning Metrics into Dollars: How to Turn Your Analytics Data into a Real Financial Model for your Startup

Speaker: Tristan Kromer, Lean Agile Coach, Kromatic

increase isn't worth the engineering time we're spending! You'll learn: How to turn basic dashboard metrics into a financial model. Some teams struggle to constantly optimize conversion rates without understanding the financial impact of those conversion rates. Sometimes that 0.1% May 1, 2018 11:00 AM PST, 2:00 PM EST, 7:00 PM GMT

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LLMs in Production: Tooling, Process, and Team Structure

Speaker: Dr. Greg Loughnane and Chris Alexiuk

Greg Loughnane and Chris Alexiuk in this exciting webinar to learn all about: How to design and implement production-ready systems with guardrails, active monitoring of key evaluation metrics beyond latency and token count, managing prompts, and understanding the process for continuous improvement Best practices for setting up the proper mix of open- (..)

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How Leveraging Data Creates Efficient Product Roadmaps

Speaker: Hannah Chaplin - Product Marketing Principal & Steve Cheshire - Product Manager

Without product usage data and user feedback guiding your product roadmap, product managers and engineers end up wasting money, time, and effort building what they think stakeholders want, rather than what they know they need. This lack of insight makes it impossible for these teams to prioritize.