Software Is Not Insightful: Distinctions Between Data And Insight
The Product Coalition
MARCH 12, 2024
Differences between “what happened” and “why it happened.” ” Continue reading on Product Coalition ยป
The Product Coalition
MARCH 12, 2024
Differences between “what happened” and “why it happened.” ” Continue reading on Product Coalition ยป
Daniel Elizalde IoT Blog
AUGUST 1, 2017
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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Daniel Elizalde IoT Blog
AUGUST 1, 2017
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.
The Product Coalition
MARCH 3, 2024
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 todayโs competitive landscape, businesses are bombarded with data. But simply collecting data isnโt enough; the true power lies in unlocking its predictive potential.
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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.
Userpilot
APRIL 22, 2024
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.
The Product Coalition
FEBRUARY 29, 2024
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.
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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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.
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.
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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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 journeyโunless you have a map.
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.
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.
Advertiser: Data Robot
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.
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