Remove Dashboards Remove Demo Remove Reporting
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What’s Next for AI and Sales?

David Menninger's Analyst Perspectives

The mathematics was sound, the demos impressive, yet adoption faltered because little thought was given as to how sellers should use this information. Repetitive tasks such as compiling account reviews or scheduling demos are obvious targets for automation. Subsequent products tried to be prescriptive rather than predictive.

Sales 148
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How EUROGATE established a data mesh architecture using Amazon DataZone

AWS Big Data

In the following section, two use cases demonstrate how the data mesh is established with Amazon DataZone to better facilitate machine learning for an IoT-based digital twin and BI dashboards and reporting using Tableau. This is further integrated into Tableau dashboards. This led to a complex and slow computations.

IoT 111
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Ingest data from Google Analytics 4 and Google Sheets to Amazon Redshift using Amazon AppFlow

AWS Big Data

Create a report on Google Analytics. Select the application type Web application , enter the name demo-google-aws, and provide URIs for Authorized JavaScript origins [link]. Select demo-google-aws. Sign in to the AWS Management Console , preferably as admin user, and in the navigation pane of the IAM dashboard , choose Policies.

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Beyond the hype: Do you really need an LLM for your data?

CIO Business Intelligence

Weve all seen the demos of ChatGPT, Google Gemini and Microsoft Copilot. They can also automate report generation and interpret data nuances that traditional methods might miss. Tableau, Qlik and Power BI can handle interactive dashboards and visualizations. Theyre impressive, no doubt. And guess what?

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Scaling Data Reliability: The Definitive Guide to Test Coverage for Data Engineers

DataKitchen

In this context, data serves as the raw material, while the production outputs include refined datasets, visualizations, models, and reports. This approach offers no proactive benefits and results in customers discovering and reporting problems, making it unsuitable for professional data operations.

Testing 100
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Develop and monitor a Spark application using existing data in Amazon S3 with Amazon SageMaker Unified Studio

AWS Big Data

These issues lead to lengthy development cycles, inefficient resource utilization, reactive troubleshooting, and difficult-to-maintain data pipelines.These challenges are especially critical for enterprises processing terabytes of data daily for business intelligence (BI), reporting, and machine learning (ML).

Testing 66
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Multimodal AI in 2025: The Business Intelligence Revolution That Can't Wait

Jen Stirrup

” The numbers tell the story: According to Gartner’s 2024 AI Business Value Forecast, early adopters report 40% increases in customer satisfaction. McKinsey’s 2025 State of AI report documents 60% faster processing times among enterprises implementing multimodal solutions.