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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: intuitive visualizations on-premise and cloud report sharing dashboard and report publishing to the web indicators of data patterns integration with third-party services (Salesforce, Google Analytics, Zendesk, Azure, Mailchimp, etc.). This shows why self-service BI is on the rise.

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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. Such visual clarity helps your organization make informed decisions across all tiers, centralizing the customer’s perspective. The following diagram shows a sample C360 dashboard built on Amazon QuickSight.

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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

Their dashboards were visually stunning. In turn, end users were thrilled with the bells and whistles of charts, graphs, and dashboards. When visualizations alone aren’t enough to set an application apart, is there still a way for product teams to monetize embedded analytics? Yes—but basic dashboards won’t be enough.