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Embedded Analytics: Should you build or buy?

Tableau

Product Marketing Manager, Embedded Analytics, Tableau. Embedding analytics is a way we can help our customers make smarter decisions and achieve greater success. When creating an embedded analytics offering, the biggest decision is whether to build an in-house solution or purchase a turnkey solution.

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Virtual Event Recap: Revolutionizing Embedded Analytics

Domo

To unlock that power, business leaders are embracing and implementing advanced embedded analytics solutions such as Domo Everywhere , which provides an environment where enterprises can safely and securely share data with one another so they can grow together. To watch “Revolutionizing Embedded Analytics,” go here.

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Embedded Analytics: Should you build or buy?

Tableau

Product Marketing Manager, Embedded Analytics, Tableau. Embedding analytics is a way we can help our customers make smarter decisions and achieve greater success. When creating an embedded analytics offering, the biggest decision is whether to build an in-house solution or purchase a turnkey solution. .

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Dark Data: How to Find It and What to Do with It

Timo Elliott

If you’ve been properly managing your metadata as part of a broader data governance policy, you can use metadata management explorers to reveal silos of dark data in your landscape. If you’ve yet to implement data governance, this is another great reason to get moving quickly. Analyze your metadata. Create a catalog.

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How CTSI-Global Scales Their Embedded Analytics

Sisense

I had the responsibility of building the new analytics deployment from the ground up and scaling it to the mature and robust business intelligence solution that sets CTSI-Global apart today. With Sisense, we provide white-labeled embedded analytics within our client SaaS applications. Data Complexity. Scalability and Monitoring.

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Top 10 Analytics Trends for 2019

Timo Elliott

Embedded analytics accelerates. The historical line between operational applications and analytics continues to blur. Comprehensive governance and data transparency policies are essential. Thanks to advances in machine learning, prescriptive “intelligent applications” have become a reality.

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insightsoftware Unveils Simba Workday Drivers for Real-Time Data Integration and Insights

Insight Software

.” “Our research shows that 77 percent of respondents indicate data engineering is critical or very important, reflecting the increased demand for access to analytical data as well as the ongoing fragmentation of data sources and targets,” said Howard Dresner, Founder and Chief Research Officer at Dresner Advisory.