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Modernize Your ETL Processes, Discover Better Insights

Sisense

Dealing with Data is your window into the ways Data Teams are tackling the challenges of this new world to help their companies and their customers thrive. In recent years we’ve seen data become vastly more available to businesses. This has allowed companies to become more and more data driven in all areas of their business.

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Use Embedded Analytics to Modernize Workflows

Sisense

Bringing all the data together in one place is vital, but even the most groundbreaking insights are worthless if people won’t actually use the analytics you’ve built for them. Analyzing user behavior has also given us the ability to determine which reports and analytics elements are most valuable. . >>>Infusing

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 Top 15 Data Analysis Tools in 2024

Astera

Offers granular access control to maintain data integrity and regulatory compliance. Cons SAS Viya is one of the most expensive data analysis tools. Users find SAS documentation to be lacking, which complicates troubleshooting. Conducting a holistic analysis requires access to a consolidated data set.

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What Is Embedded Analytics?

Insight Software

Introduction Why should I read the definitive guide to embedded analytics? But many companies fail to achieve this goal because they struggle to provide the reporting and analytics users have come to expect. The Definitive Guide to Embedded Analytics is designed to answer any and all questions you have about the topic.

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Your Path to Finding the Best Embedded Analytics Solution

Insight Software

How do you know it’s time to replace your embedded analytics? Demand for new capabilities: If your users demand advanced capabilities and self-service analytics, using basic dashboards and reports may lead to increased customer churn. How to Find the Perfect Solution for Your Embedded Analytics? So, now what?

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Embedded Analytics in 2023: A Year in Review

Insight Software

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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What is Data Mapping?

Insight Software

This includes cleaning, aggregating, enriching, and restructuring data to fit the desired format. Load : Once data transformation is complete, the transformed data is loaded into the target system, such as a data warehouse, database, or another application.