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DIY Data Visualizations: Provide Unique Insights of Your Data with Reveal BI 

Reveal

Reveal Embedded Analytics We live in an era where data shapes decisions across industries. While data visualizations have become essential, not all standard visualizations cater to specialized reporting needs.

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14 Best Customer Analytics Platforms in 2024

Userpilot

As you’re researching customer analytics platforms, you’ve probably noticed how hard it is to find reliable information on the available solutions. TL;DR Customer analytics platforms are specialized tools that allow you to collect and analyze data. Starts with Einsten Predictions’ $75/month billed annually.)

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Effective customer engagement is business critical – insights from Harvard Business Review Analytic Services

Intercom, Inc.

New research from Harvard Business Review Analytic Services reveals that businesses of all sizes – from small businesses to enterprises – are realizing the business value of personal, efficient customer engagement. Below, we take a deeper dive into the report’s key data and trends. But they’re facing big barriers.

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Top 15 Digital Analytics Tools For SaaS Companies in 2024

Userpilot

As you’re researching digital analytics tools, you’ve probably noticed how hard it is to find reliable information on the available solutions. TL;DR Digital analytics refers to collecting, analyzing, and interpreting customer data from digital sources like websites and applications. What is digital analytics?

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Embedded Analytics: A Force Multiplier for Business

The possibilities for embedded analytics to drive real value for businesses, end users, and society are as fascinating as they are limitless. No matter the industry, brand after brand is finding that analytics can be the solution to a multitude of business challenges.

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Top 15 Digital Analytics Tools For SaaS Companies in 2024

Userpilot

As you’re researching digital analytics tools, you’ve probably noticed how hard it is to find reliable information on the available solutions. TL;DR Digital analytics refers to collecting, analyzing, and interpreting customer data from digital sources like websites and applications. What is digital analytics?

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Top 15 Digital Analytics Tools For SaaS Companies in 2024

Userpilot

As you’re researching digital analytics tools, you’ve probably noticed how hard it is to find reliable information on the available solutions. TL;DR Digital analytics refers to collecting, analyzing, and interpreting customer data from digital sources like websites and applications. What is digital analytics?

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The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data and AI

Speaker: Aindra Misra, Sr. Staff Product Manager of Data & AI at BILL (Previously PM Lead at Twitter/X)

Embark on a transformation journey into the heart of the data ecosystem! This webinar is your gateway to a deeper comprehension of the foundations that drive the data industry and will equip you with the knowledge needed to navigate the evolving landscape. Join us for a forward-looking exploration of the future data landscape!

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A Guide to Designing Delightful Dashboards

Speaker: Daniel O'Sullivan, Product Designer, nCino and Jeff Hudock, Senior Product Manager, nCino

We’ve all seen the increasing industry trend of artificial intelligence and big data analytics. In a world of information overload, it's more important than ever to have a dashboard that provides data that's not only interesting but actually relevant and timely. Dashboard design do’s and don’ts.

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How to Use a Semantic Layer to Scale Data & Analytics Across Your Organization

Download this guide for practical advice on using a semantic layer to improve data literacy and scale self-service analytics. The guide includes a checklist, an assessment, industry-specific use cases, and a data & analytics maturity model and roadmap.

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How Banks Are Winning with AI and Automated Machine Learning

Banks have always relied on predictions to make their decisions. Estimating the risks or rewards of making a particular loan, for example, has traditionally fallen under the purview of bankers with deep knowledge of the industry and extensive expertise. How today’s banks can handle the data science talent shortage.

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How Banks Are Winning with AI and Automated Machine Learning

Banks have always relied on predictions to make their decisions. Estimating the risks or rewards of making a particular loan, for example, has traditionally fallen under the purview of bankers with deep knowledge of the industry and extensive expertise. How today’s banks can handle the data science talent shortage.

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The Business Value of MLOps

Our report, The Business Value of MLOps by Thomas Davenport, highlights some of the most impactful benefits of MLOps tools and processes for different types of organizations. Download the report to find out: How enterprises in various industries are using MLOps capabilities.

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Humility in AI: Building Trustworthy and Ethical AI Systems

But with the incredible pace of the modern world, AI systems continually face new data patterns, which make it challenging to return reliable predictions. These failures can also significantly erode human trust in AI, rendering it ineffective for real-world applications in many industries. Brought to you by Data Robot.

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AI in Manufacturing

How AI modernizes demand forecasting, supply chain, and predictive maintenance. Real stories showing how real manufacturers are revolutionizing their industries. Get this eBook to learn about: Achieving ROI with AI and delivering valuable results with urgency.