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Big data analytics framework ppt presentation

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Presenting big data analytics framework ppt presentation. This is a big data analytics framework ppt presentation. This is a eight stage process. The stages in this process are optimization, predictive modeling, forecasting and extrapolation, statistical analysis, alerts, dashboards query drill down, ad hoc reporting, standard reports.

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Content of this Powerpoint Presentation

Description:

This image is a PowerPoint slide titled "Big Data Analytics Framework PPT Presentation". It features a circular, spiral-like diagram that represents various layers or components of a big data analytics process. Each layer or band represents a different analytics function, progressing from the innermost layer to the outermost. These functions include Standard Reports, Ad-hoc Reporting, Dashboards Query/Drill Down, Alerts, Statistical Analysis, Forecasting & Extrapolation, Predictive Modeling, and Optimization. This visualization suggests a hierarchy or flow of complexity in data analysis tasks, starting from basic reporting to more advanced analytical techniques like optimization.

Text Elements:

"Big Data Analytics Framework" implies the slide is presenting a structured approach to analyzing large datasets.

The listed functions represent different analytics capabilities, from basic to complex, essential for making data-driven decisions.

"Optimization" at the outermost layer suggests the ultimate goal of analytics is to optimize business processes or outcomes.

"This slide is 100% editable..." indicates the slide can be customized to fit the specific needs of the presentation.

Use Cases:

This type of  slide can be used in various industries:

1. Technology:

Use: Explaining the data analytics process.

Presenter: Data Analyst

Audience: Tech professionals, stakeholders

2. Marketing:

Use: Illustrating customer data analysis.

Presenter: Marketing Director

Audience: Marketing team, executives

3. Finance:

Use: Outlining financial forecasting and risk analysis.

Presenter: Financial Analyst

Audience: Investors, financial planners

4. Healthcare:

Use: Demonstrating patient data analysis for predictive healthcare.

Presenter: Health Informatics Specialist

Audience: Healthcare providers, administrators

5. Retail:

Use: Showcasing retail analytics for inventory and sales optimization.

Presenter: Retail Manager

Audience: Retail executives, supply chain managers

6. Education:

Use: Teaching data science and analytics methodologies.

Presenter: Academic Lecturer

Audience: Students, research scholars

7. Manufacturing:

Use: Analyzing production data for efficiency improvement.

Presenter: Operations Manager

Audience: Production team, management

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  1. 100%

    by Liam Perez

    The content is very helpful from business point of view.
  2. 100%

    by O'Connor Collins

    Excellent template with unique design.

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