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Big data opportunities technologies powerpoint clip art
from deck Creative Big Data Diagrams (PPT Template)

Big Data: Opportunities and Infrastructure

Slide Content

The slide is titled "Big Data: Opportunities and Infrastructure" and outlines the relationship between 'Business Opportunities' like 'New products' and 'Cheaper operations', and 'Technology Infrastructure' components 'Software' and 'Hardware'. Each of these components is connected to the concept of 'Big Data' located centrally on the slide. 'New products' might imply innovative services or goods created through big data insights, while 'Cheaper operations' suggest cost savings enabled by data-driven efficiency improvements. 'Software' and 'Hardware' are foundational elements required to process and manage big data.

Graphical Look

  • The slide background is white.
  • The title is at the top in bold, blue font.
  • A central, orange cylinder graphic represents 'Big Data', appearing to be a database or data storage icon.
  • Two blue arrows flow from the 'Big Data' symbol towards the top and bottom of the slide.
  • At the top, two labeled rectangular shapes represent 'New products' (purple) and 'Cheaper operations' (green) with corresponding icons: a 3D box and a money note with an arrow.
  • At the bottom, two gray rectangles labeled 'Software' and 'Hardware' depict a laptop and a stack of servers, respectively.
  • Each label has a matching color stripe on its left side.

The slide has a professional and clean design, with color-coded graphical elements enhancing comprehension. Icons and arrows are used effectively to show the flow and connection of concepts.

Use Cases

  • Explaining the value proposition of big data in a business strategy presentation.
  • Illustrating potential benefits and required investments for big data initiatives during a stakeholder meeting.
  • Educating an audience about the interplay between technology and business opportunities in big data-focused workshops.
  • Using in an academic setting to teach students about the components and impacts of big data on businesses.

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