Business Transformation
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Data Structure
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Data Science Big Data Analytics Icons (flat PPT clipart)
DATA STRUCTURE
Slide Content
The PowerPoint slide is titled "DATA STRUCTURE" with three main points. "Unstructured data" refers to information that doesn't follow a specified format, making it difficult to collect, process, and analyze. "Structured data" means data that is organized in a fixed field within a record or file, such as spreadsheets, which makes it easily searchable. "Multiple sources / big data" suggests the integration of data from various repositories or formats, indicating complexity and scale.
Graphical Look
- Three symbols representing different data structures aligned horizontally across the top half of the slide.
- Each symbol is paired with its respective text label: "unstructured data," "structured data," and "multiple sources / big data."
- Icons feature a document-like shape with varying internal designs: the first representing unstructured data with random lines, the second showing a grid for structured data, and the third combining elements of both with an added layer suggesting complexity.
- A lower section in contrasting color showcases circled versions of the same icons alongside an explanation about editability and color scheme adaptation.
- The overall color palette is limited, with a soft salmon background matching the circled icon section, and a light color for text and icons providing contrast.
The slide has a clean and modern look with a well-balanced layout. The icons are simple and visually communicate the types of data structures introduced on the slide.
Use Cases
- Presenting in a seminar or workshop about data management to explain different types of data formats.
- During a corporate training session to teach employees about handling various data types in business systems.
- In a sales pitch for data analytics software to showcase the application's capability to process and integrate diverse types of data.
- As part of an educational lecture in information technology or computer science courses discussing the fundamentals of data organization.