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Delivering Low-latency Analytics Products for Business Success

Rocket-Powered Data Science

Analytics products represent the user-facing and client-facing derived value from an organization’s data stores. Along with the massive growth in sensor data (including location-based and time-based streaming data), there have emerged some special analytics categories that are growing in significance.

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What is the Future of Business Intelligence in the Coming Year?

Smart Data Collective

Prescriptive Analytics. Features: interactive tables, graphs, dashboards data publishing access to a broad data range custom analytic applications data storytelling web and mobile. This shows why self-service BI is on the rise. Using the information in making business predictions is not a new trend. SAP Lumira.

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

AWS Big Data

Plan on how you can enable your teams to use ML to move from descriptive to prescriptive analytics. In another survey, 58% of organizations (out of 560 respondents of HBR Advisory council and readers) stated they saw an increase in customer retention and loyalty using real-time customer analytics.

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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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What Is Embedded Analytics?

Jet Global

According to a 2019 ESG survey , developers were able to customize analytics based on what was best for the applications instead of making design choices to work with existing tools and were able to offer products that improved average selling price (ASP)and/or order value, which increased by as much as 25 percent.