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Software Is Not Insightful: Distinctions Between Data And Insight

The Product Coalition

Differences between “what happened” and “why it happened.” ” Continue reading on Product Coalition ยป

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How to Differentiate Your IoT Product: Provide Insights Not Data

Daniel Elizalde IoT Blog

IoT products are known for producing large amounts of data. Some people even argue that the reason to deploy IoT products is to produce and collect all this data, that the data in itself is what provides the value. In this post, I describe the importance of having a data strategy and […]. I don’t think so.

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How to Differentiate Your IoT Product: Provide Insights Not Data

Daniel Elizalde IoT Blog

IoT products are known for producing large amounts of data. Some people even argue that the reason to deploy IoT products is to produce and collect all this data, that the data in itself is what provides the value. In this post, I describe the importance of having a data strategy and […]. I don’t think so.

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How Can CRM Marketing Help Predict A Customerโ€™s Needs?

The Product Coalition

Enter customer behavior prediction, a revolutionary approach that utilizes data and technology to forecast what your customers will do, buy, or feel in the future. In todayโ€™s competitive landscape, businesses are bombarded with data. But simply collecting data isnโ€™t enough; the true power lies in unlocking its predictive potential.

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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 Perform A Product Feature Analysis

Userpilot

The insights from feature analysis help you: Identify feature opportunities. Review feature usage data. Extract feature development insights. Improve product road mapping : Instead of relying on assumptions about what’s important, feature analysis gives you concrete data on what customers value. Niche features.

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Choose the Right Large Language Model (LLM) for Your Product

The Product Coalition

While this guide focuses on choosing LLMs for user-facing applications (think chatbots, writing assistants), remember they can also revolutionize internal tasks like report generation or data entry. Data Richness: A wealth of data opens doors to training bespoke models. LLMs like XLM-R excel in handling diverse languages.

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Cracking the Code to Product Team Success: Data, Empathy, and Extraordinary Communication

Speaker: Donna Shaw - Senior Product Manager & Eric Frierson - Director of Innovation for Public and School Libraries

Nonetheless, by leveraging foresight and valuable insights, you can cultivate a thriving product management team that works together harmoniously to craft customer-centric products.

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Business Monitoring Systems: Using ML to Analyze Metrics

This whitepaper discusses how automated business monitoring solutions like Yellowfin Signals revolutionize the way users discover critical and relevant insights from their data. Download to learn: 5 business benefits of automated data discovery with ABM. How automated business monitoring separates insights from noise.

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Harness Your Product Data: Better Understanding User Behavior Across Channels and Devices

Speaker: Kate Owens and Megan Bubley, SpotHero, Diana Smith, Segment, and Erin Franz, Looker

As your sources of data increase, so do the complexities of unifying the data in a meaningful way. Join our webinar on October 17th with Segment and Looker to hear how they have solved these complex data issues. In this webinar, you'll learn: Why SpotHero decided to unify their data across departments.

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Mixing Qualitative & Quantitative Data with Storyboarding

Speaker: Tristan Kromer, Lean Agile Coach, Kromatic

Qualitative data from UXers should not compete against the quantitative data product owners need for their business model. In this webinar, you'll learn: How to integrate qualitative insights on user experience with a business model based on numbers. Qualitative vs. Quantitative is a silly argument.

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Omnichannel is Multichannel 2.0

Get the tools to turn data into actionable insights and deliver personalized, relevant, timely messaging to increase conversions and maximize your ROI. Multichannel and omnichannel marketing are not the same. Many organizations are striving for omnichannel, but it can be a daunting journeyโ€”unless you have a map.

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The Product Corner: Maximizing Impact, Reducing Hours, and Accelerating Roadmaps with Data

Speaker: Edie Kirkman - VP, Digital at Focus Brands

To overcome this challenge, it is crucial to build core product and technology competencies that provide actionable insights through qualitative and quantitative data analysis. By leveraging data-driven insights, companies can accelerate time-to-market, enhance product quality, and align offerings with customer needs.

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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.

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Data Science Fails: Building AI You Can Trust

The new DataRobot whitepaper, Data Science Fails: Building AI You Can Trust, outlines eight important lessons that organizations must understand to follow best data science practices and ensure that AI is being implemented successfully. Download the report to gain insights including: How to watch for bias in AI.