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Decoding Data Analyst Job Description: Skills, Tools, and Career Paths

FineReport

Diagnostic analytics: Uncovering the reasons behind specific occurrences through pattern analysis. Descriptive analytics: Assessing historical trends, such as sales and revenue. Predictive analytics: Forecasting likely outcomes based on patterns and trends to facilitate proactive decision-making.

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Create an end-to-end data strategy for Customer 360 on AWS

AWS Big Data

You can benefit from its ML integrations for automated insights like forecasting and anomaly detection or natural language querying with Amazon Q in QuickSight , direct data connectivity from various sources, and pay-per-session pricing. About the Authors Ismail Makhlouf is a Senior Specialist Solutions Architect for Data Analytics at AWS.

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3 Ways Embedded Analytics Boosts Data Literacy

Jet Global

White-labelled embedded analytics software kicks this up a notch, but allowing you to beautify dashboards with your customer’s personal branding, guaranteed to catch the eye of their buying team. The Embedded Analytics Buyer’s Guide Download Now 2.

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What Is Embedded Analytics?

Jet Global

In a recent study by Mordor Intelligence , financial services, IT/telecom, and healthcare were tagged as leading industries in the use of embedded analytics. Healthcare is forecasted for significant growth in the near future. Traditional BI Platforms Traditional BI platforms are centrally managed, enterprise-class platforms.

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Embedded Analytics in 2023: A Year in Review

Jet Global

Here are some of the top trends from last year in embedded analytics: Artificial Intelligence : AI and embedded analytics are synergistic technologies that, when combined, offer powerful capabilities for data-driven decision-making within applications. Scalability : Think of growing data volume and performance here.