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Financial Dashboard: Definition, Examples, and How-tos

FineReport

This is where the significance of a financial dashboard shines through. In this article, we will explore the concept of a financial dashboard, highlight its numerous benefits, and provide various kinds of financial dashboard examples for you to employ and explore. What is A Financial Dashboard?

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Migrate an existing data lake to a transactional data lake using Apache Iceberg

AWS Big Data

Over the years, data lakes on Amazon Simple Storage Service (Amazon S3) have become the default repository for enterprise data and are a common choice for a large set of users who query data for a variety of analytics and machine leaning use cases. Analytics use cases on data lakes are always evolving.

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How Tricentis unlocks insights across the software development lifecycle at speed and scale using Amazon Redshift

AWS Big Data

Additionally, the scale is significant because the multi-tenant data sources provide a continuous stream of testing activity, and our users require quick data refreshes as well as historical context for up to a decade due to compliance and regulatory demands. Finally, data integrity is of paramount importance.

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Dimensional modeling in Amazon Redshift

AWS Big Data

Lastly, we use Amazon QuickSight to gain insights on the modeled data in the form of a QuickSight dashboard. Each serves a different view of the business process. Data can either be loaded when there is a new sale, or daily; this is where the inserted date or load date comes in handy.

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Purely Cosmetic: Downfalls of BI Analytics as a Business Management Solution

Jet Global

Business intelligence (BI) analytic tools have been all of the rage for years now. They can make your business data pretty and easy to understand, no doubt. But what’s the business value of highly visualized data if it’s not accurate or if it doesn’t connect you to your actual business strategy?

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Data Observability and Monitoring with DataOps

DataKitchen

Data errors impact decision-making. When analytics and dashboards are inaccurate, business leaders may not be able to solve problems and pursue opportunities. Data errors infringe on work-life balance. Data errors also affect careers. You and your data team can accomplish the same thing at your organization.

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