Powerpoint Templates and Google slides for Big Data Applications

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Presenting this set of slides with name Typical Applications Of Big Data Analytics Concepts. This is a four stage process. The stages in this process are Customer Insights, Security And Risks, Resource Optimization, Productivity. This is a completely editable PowerPoint presentation and is available for immediate download. Download now and impress your audience.

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This slide exhibits big data tools application in business management. It includes major steps such as data preparation layer, validation testing, value treatment and so on. Presenting our well-structured Big Data Tools Application In Business Analysis Process. The topics discussed in this slide are Data Preperation Layer, Feature Engineering Layer, Report And Visualization Layer. This is an instantly available PowerPoint presentation that can be edited conveniently. Download it right away and captivate your audience.

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This slide provides introduction to prescriptive analytics technique used for long term decision making. It provides information regarding accurate forecasting, strategic decision making, weighted projections etc. Introducing Overview Of Prescriptive Analytics To Drive Business Big Data Analytics Applications Data Analytics SS to increase your presentation threshold. Encompassed with three stages, this template is a great option to educate and entice your audience. Dispence information on Data Driven Decision Making, Assess Impact, using this template. Grab it now to reap its full benefits.

This slide showcases key use cases of big data Oracle. The main purpose of this template is to showcase how Oracle big data can be applied across various industries to improve decision-making and efficiency. This includes data warehousing analytics, customer 360, etc. Presenting our set of slides with Big Data Oracle Real World Business Applications This exhibits information on Four stages of the process. This is an easy to edit and innovatively designed PowerPoint template. So download immediately and highlight information on Data Warehousing Analytics, Customer 360, Fraud Detection