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Business Intelligence Software Developed By Aws
With re:Invent around the corner, we at the Amazon QuickSight team have put together this post to give you a handy list of everything important this year. We’ve divided this post into three main sections: tracking individual user data, analytics analytics with animation, scale and governance.
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Amazon QuickSight empowers every user in the organization to gain a better understanding of data – through simple natural language queries and interactive prompts for end users, or ML-powered data exploration for business analysts. Developers can embed visualizations, dashboards and Q in their apps to differentiate and improve user experiences. Let’s take a look at the new experiences and features that can be rolled out to your users from our 2021 updates.
This year, Amazon QuickSight Q became generally available, making machine learning (ML) powerful Q&A available to end users to simply ask questions about their data – no training or preparation required. End users can go beyond what’s displayed on the dashboard with Q, avoiding the typical exchanges between end users and business intelligence (BI) teams, and the often weeks-long waits associated with adding new content. dashboard or visual. It also allows end users to understand the data intuitively, without having to interpret the various visualizations, filters or other elements in a traditional BI dashboard.
For example, a sales manager may simply ask the question “What are the monthly sales in California this year?” to answer from Q. To go deeper, they could follow up with “Who were the top five sales customers in California?” Q presents visual feedback to the user, no manual changes or analysis may be required. Q can also be embedded in applications, allowing developers to enhance and differentiate their application experiences. For more on Q and how to get started, see Amazon QuickSight Q – Business Intelligence Using Natural Language Questions.
Creators of QuickSight dashboards can now use a new free-form layout that allows for specific locations and dashboard components, overlay charts and images, and conditional display of elements based on parameters. The combination of these features, along with the granular guard options now available across charts (such as hiding electronic lines, axis labels, and more) allow dashboards in QuickSight to be highly customized for specific use cases or designs. The following screenshots show examples of custom dashboards using the free form layout.
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Authors can also use new visual features in QuickSight, such as dual-axis line charts and Sankey, to quickly add new types of stop data to dashboards. In particular, Sankey charts have been very popular among QuickSight users, allowing the visualization of cash flows, process levels or visitor flows in one place – without having to extensively adapt charts or plug-in external licenses. We’ve also added an option to add custom web design to dashboards, allowing you to embed images, photos, websites or external apps. Combined with the ability to pass parameter values into custom components, this offers dashboard authors the widest range of creative possibilities.
The chart below shows an example of a dual axis line chart (left) where the high and volume metrics are written on two different scales within the same chart.
The following screenshot provides an example of embedded web content (a physical navigation store with various transition modes) within a QuickSight dashboard.
Tables and PivotTables have also received extensive updates, allowing authors to extensively customize them to meet standard design standards, with the following new features:
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The following screenshot shows a custom visual table with links, images, font color, borders, grid lines, banding, text wrap, custom and row height.
For a deeper analytical exploration of the data, we have given the usual type of content in visualizations and tables in order to be able to present a well-defined content. Customization tools allow dashboard authors to add additional context beyond what is available from the visual information on the screen. You can now use parameters to dynamically populate image titles and dashboards. Time data can be collected down to the second for Internet of Things (IoT) and industrial use, and filters now fully support time exclusion fields to support business use cases where day/month/year are primary factors.
Added wildcards to the filters for faster search filters for authors and end users, multi-line threads to easily paste multiple values for filtering, and an update to the relative control to allow readers to choose a custom time to scroll. the relative time that is selected in addition to selecting the time relative to the current date.
For easier collaboration within an organization, QuickSight now allows 1-click embedding of dashboards in wikis, SharePoint, Google sites, and more, requiring no development effort. This makes dashboard embedding as easy as embedding your favorite music video. We’ve also introduced link-based sharing of dashboards, which means that if you want, you can share a dashboard with all users in your organization without having to do it individually for individual users or groups.
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Threshold-based alerts in QuickSight allow dashboard readers to be notified when certain thresholds are exceeded by KPIs on the dashboard. With automated ML-powered anomaly alerts, this allows readers to set up device notifications when significant changes in data are expected or unexpected.
This year they also introduced the ability to share a view of the QuickSight dashboard, allowing readers to create and share a unique URL for others to capture the status of their filters. This allows for easy discussions about a shared opinion.
For offline access, readers can now obtain PDF snapshots of their data, personalized for specific roles and use cases. The authors have established this with the new Personalized Private Email Reports, which allows unique emails to be sent to thousands of users in a predefined area, each with a specific end user in mind.
Whether in a large organization or in a developer setting, the creation and reuse of datasets play an important role in ensuring that accurate interpretations of data are shared across the organization. To support this, QuickSight has introduced dataset support, a new feature that allows QuickSight databases to be used to create other datasets. This makes the data streamed through the database. Updates related to calculated fields, security data, security level hierarchy, and security columns can be configured to be automatically propagated to datasets, providing a powerful data culture tool. For more information, see Create a dataset using a dataset in Amazon QuickSight.
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As part of the data logic contained in the dataset, you can now create field folders for groups of fields, add metadata to fields, or include aggregate calculations in the dataset, allowing standard calculations to be predefined and shared for easy inclusion in dashboards by authors.
Datasets are now also versioned, allowing authors and data owners to quickly change from one version to another, without the need for API calls or changes.
Finally, QuickSight continues to add existing live analytics options through Redshift, Snowflake, SQL Server, Oracle, and other data warehouses with the addition of Exasol. This allows authors a variety of options when exploring PB-scale datasets directly from the cloud.
Customers such as 3M, Bolt, Blackboard, NFL, Comcast and Panasonic Avionics use QuickSight for embedded analytics that serve their customers and partners, saving months and years of ongoing development and maintenance time that might otherwise be required to compile a rich analytics layer. in fruits. QuickSight also enables customers to introduce new developments in BI, such as ML-Insights and Natural Language Querying, in end-user applications.
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Getting started with embedded dashboards for proof-of-concept software-as-a-service (SaaS) app integrations now only takes minutes, with the new 1-click embed option. For deeper app integration with transparent authentication, we support server-side calls to QuickSight embedding, including a new layer-based security option so you can easily add non-customizable filters to your dashboard. This means that you can create a multi-tenant embedded dashboard for hundreds of thousands of users without any heavy lifting and manage these users in QuickSight or another BI product.
Developers will now also include a powerful Q differentiator as part of the embedded Quickspect feature. Q can be embedded into applications, allowing end users to simply ask questions about the data, along with the shared context of the insights provided through embedded QuickSight dashboards in the app. Some sample embedded dashboards are available on DemoCentral.
For developers and independent software vendors who want to strengthen their interactive dashboards and electronic reports in QuickSight, they have also introduced the possibility of custom email reporting. This allows for electronic fan cushions;
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