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The Role Of Technology In A Changing Financial Services Sector Part II

Cloudera

However, another type of analytics, called “prescriptive analytics”, involves simulation tools that look towards the future with a view of many potential scenarios. Prescriptive analytics provides decision-makers with thousands of potential future scenarios. To capture the importance of sequencing of events. .

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Big Data Skill sets that Software Developers will Need in 2020

Smart Data Collective

From the tech industry to retail and finance, big data is encompassing the world as we know it. They can use predictive, descriptive and prescriptive analytics to help CSCOs turn metrics into insights for better decision-making. Machine learning is a trending field and a hot topic right now. Apache Spark.

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The Gartner 2021 Leadership Vision for Data & Analytics Leaders Webinar Q&A

Andrew White

Government, Finance, … Tough question…mostly as it’s hard to determine which industry due to different uses and needs of D&A. As such banking, finance, insurance and media are good examples of information-based industries compared to manufacturing, retail, and so on. Does this promote efficiency? We see both too.

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What Is Data Intelligence?

Alation

BI leverages and synthesizes data from analytics, data mining, and visualization tools to deliver quick snapshots of business health to key stakeholders, and empower those people to make better choices. Augmented Analytics. Artificial Intelligence, too, is a fast-growing market, valued at $21 billion. Why reinvent the wheel?

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What Is Embedded Analytics?

Jet Global

Business End-User Benefits Embedding analytics into essential applications makes analytics more pervasive. As a result, end users can better view shared metrics (backed by accurate data), which ultimately drives performance. Visual Analytics Users are given data from which they can uncover new insights.