Data Pine

FEBRUARY 17, 2023

2) What Is Embedded BI? 3) The Link Between White Label BI & Embedded Analytics 4) An Embedded BI Workflow Example 5) White Labeled Embedded BI Examples In the modern world of business, data holds the key to success. Enter embedded analytics and white label business intelligence.

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Insight Software

FEBRUARY 6, 2024

This isn’t just a new product; it’s a complete reimagining of our embedded analytics offering. We’ve listened to your requests and crafted a solution that eliminates complexity and empowers you to focus on what matters – gaining actionable insights from your data.

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Insight Software

NOVEMBER 4, 2024

By hosting embedded analytics on Google’s cloud, application teams can keep data close to the Google tools they use every day, streamlining everything from deployment to digital transformation. Here’s what this new accessibility in Google Marketplace means for app teams and users alike. Enable cookies.

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Insight Software

JULY 17, 2023

Business environments are shifting so rapidly that disconnected analytics will only serve to present an inaccurate view of the past. Your customers and their users need real-time data to tell an engaging, flexible, and accurate story to drive impactful business results.

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Insight Software

JANUARY 19, 2024

With customers now expecting more than ever from analytics, many development teams invested in embedded analytics solutions to reduce the workload and time to value for their applications. Scalability : Think of growing data volume and performance here.

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Insight Software

APRIL 12, 2024

By providing these tools, your users can transform their raw data into actionable intelligence, driving data-driven business decisions. This technology tackles the traditional data overload by integrating analytical tools directly within your users’ workflow. Want to learn more?

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Insight Software

APRIL 11, 2025

Depending on the user and the business goal, dashboards can vary widely in structure and intent. Your team can gain important context from understanding what is important to your users, what data means to them, and how data will shape their decisions. What are your users interested in?

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