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The future of Gen AI in analytics

CIO

Enter Gen AI, a transformative force reshaping digital experience analytics (DXA). Gen AI allows organizations to unlock deeper insights and act on them with unprecedented speed by automating the collection and analysis of user data. As Gen AI continues to evolve, its role in digital experience analytics will only grow.

Analytics 317
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Top 3 considerations for choosing a digital experience analytics platform

CIO

The impact of DXA on customer experience For product leaders, Digital Experience Analytics (DXA) has provided a transformative shift. One: Comprehensive data capture The power of a DXA platform is in its data capture. Quantum Metric does this out-of-the-box, logging over 60 behavioral and 300 data points without manual tagging.

Analytics 306
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Data Analytics: Strategies to Demonstrate Value and Achieve Transformation

CIO

Recently, chief information officers, chief data officers, and other leaders got together to discuss how data analytics programs can help organizations achieve transformation, as well as how to measure that value contribution. business, IT, data management, security, risk and compliance etc.)

Analytics 264
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Sports venues advance goals, enhance fan experience with data analytics

CIO

A big part of that effort involves advanced analytics to gain better insight into what’s happening at a venue in real-time so staff can respond rapidly to changing conditions. Here are three examples of how sports organizations are using analytics to gain better insights into their venues.

Sport 246
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The Ultimate Guide to Software Delivery & Engineering Metrics

As DevOps Value Stream Management (VSM) goes mainstream, large and small organizations increasingly recognize the need to apply data analytics to manage the end-to-end software delivery process more effectively – to deliver quality software faster and more predictably.

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5 tips for excelling at self-service analytics

CIO

Data-informed decision-making is a key attribute of the modern digital business. But experienced data analysts and data scientists can be expensive and difficult to find and retain. Self-service analytics typically involves tools that are easy to use and have basic data analytics capabilities.

Analytics 342
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Sport analytics leverage AI and ML to improve the game

CIO

Nearly 10 years ago, Bill James, a pioneer in sports analytics methodology, said if there’s one thing he wished more people understood about sabermetrics, pertaining to baseball, it’s that the data is not the point. The point is to use the data like a razor to cut through false convictions to find the truth.

Sport 296
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Build Product Progress with a Strong Data Culture

Speaker: Nima Gardideh, CTO, Pearmill

It can be confusing when customer feedback or metrics like registration or retention are painting a different picture. No matter how sophisticated your analytics are, if you're asking the wrong questions - or looking at the wrong metrics - you're going to have trouble getting answers that can help you.

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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

You'll learn: How to turn basic dashboard metrics into a financial model. Early stage startups in particular may not need a four year business plan, but they need to start building out a model which will show how they can someday be profitable. Learn how margin of error impacts financial projections.