Remove Customer Analytics Remove Enterprise Remove Prescriptive Analytics Remove Visualization
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What is the Future of Business Intelligence in the Coming Year?

Smart Data Collective

Prescriptive Analytics. In the coming years they are more likely to become a part of enterprise solutions. Automation & Augmented Analytics. Augmented analytics uses artificial intelligence to process data and prepare insights based on them. This shows why self-service BI is on the rise. QlickSense.

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

FineReport

Data analysts leverage four key types of analytics in their work: Prescriptive analytics: Advising on optimal actions in specific scenarios. Diagnostic analytics: Uncovering the reasons behind specific occurrences through pattern analysis. Descriptive analytics: Assessing historical trends, such as sales and revenue.

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

AWS Big Data

Strategize based on how your teams explore data, run analyses, wrangle data for downstream requirements, and visualize data at different levels. Plan on how you can enable your teams to use ML to move from descriptive to prescriptive analytics. Users interested in visual exploration can do so using AWS Glue DataBrew.

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What Is Embedded Analytics?

Jet Global

Bottom line is that analytics has migrated from a trendy feature to a got-to-have. Plus, there is an expectation that tools be visually appealing to boot. In the past, data visualizations were a powerful way to differentiate a software application. Their dashboards were visually stunning. It’s all about context.