Remove 2021 Remove Business Intelligence Remove Data Transformation Remove Visualization
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Intro to R and Power BI Presentation and a Presenting Secret

Jen Stirrup

I was all set to present this session at the European Collaboration Summit in November 2021, but the organizers needed to change the time and date of my session which was rescheduled to take place after I’d left to go back home. Then, we will move towards powerful but simple to use datatypes in R such as data frames.

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How to Implement Data Lineage Mapping Techniques

Octopai

In other words, kind of like Hansel and Gretel in the forest, your data leaves a trail of breadcrumbs – the metadata – to record where it came from and who it really is. So the first step in any data lineage mapping project is to ensure that all of your data transformation processes do in fact accurately record metadata.

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Building Better Data Models to Unlock Next-Level Intelligence

Sisense

The reasons for this are simple: Before you can start analyzing data, huge datasets like data lakes must be modeled or transformed to be usable. According to a recent survey conducted by IDC , 43% of respondents were drawing intelligence from 10 to 30 data sources in 2020, with a jump to 64% in 2021!

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Showpad accelerates data maturity to unlock innovation using Amazon QuickSight

AWS Big Data

In 2021, Showpad set forth the vision to use the power of data to unlock innovations and drive business decisions across its organization. In this post, we share how Showpad used QuickSight to streamline data and insights access across teams and customers. Showpad migrated over 70 dashboards with over 1,000 visuals.

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How smava makes loans transparent and affordable using Amazon Redshift Serverless

AWS Big Data

This is the Data Mart stage. The data products from the Business Vault and Data Mart stages are now available for consumers. smava decided to use Tableau for business intelligence, data visualization, and further analytics.

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What Is Embedded Analytics?

Jet Global

We hope this guide will transform how you build value for your products with embedded analytics. Learn how embedded analytics are different from traditional business intelligence and what analytics users expect. This is in contrast to traditional BI, which extracts insight from data outside of the app.