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Combine transactional, streaming, and third-party data on Amazon Redshift for financial services

AWS Big Data

In this post, we provide a solution architecture that describes how you can process data from three different types of sources—streaming, transactional, and third-party reference data—and aggregate them in Amazon Redshift for business intelligence (BI) reporting. Jeff is based in Florida and has been with AWS since 2019.

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Four areas retailers must analyze to stay ahead of the competition

Birst BI

Transforming this data into key business metrics that monitor sales, profit, inventory and people are key for the decision maker to take the next best action. 10, 2019, webinar with Matt Simonsen and Doug Tiffan on “Four areas retailers must analyze to stay ahead of the competition.” Attend Sept.

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18 Examples Of Big Data Analytics In Healthcare That Can Save People

datapine

By utilizing key performance indicators in healthcare and healthcare data analytics, prevention is better than cure, and managing to draw a comprehensive picture of a patient will let insurance provide a tailored package. However, doctors want patients to stay away from hospitals to avoid costly in-house treatments.

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Top 10 Analytics And Business Intelligence Trends For 2020

datapine

Over the past decade, business intelligence has been revolutionized. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. 2019 was a particularly major year for the business intelligence industry. Data exploded and became big.

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Engaging External Stakeholders With Your Data Platform

InsightOut

Technology has changed, and so have the business scenarios. A failure to engage external stakeholders and provide them with timely business metrics may hamper their decision-making and hurt the businessxe2x80x99s bottom lines. Are you engaging your external stakeholders with business data and insights?

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What Is Embedded Analytics?

Jet Global

Learn how embedded analytics are different from traditional business intelligence and what analytics users expect. Embedded Analytics Definition Embedded analytics are the integration of analytics content and capabilities within applications, such as business process applications (e.g., CRM, ERP, EHR/EMR) or portals (e.g.,