DATA RELATED CONCEPTS

Slide Content

The PowerPoint slide presents key concepts in data management and analysis, titled "DATA RELATED CONCEPTS." Four icons represent different aspects: database/generic data, data analysis/data search, data science, and data quality. The database icon symbolizes the storage and organization of data. The data analysis/search icon suggests examining and querying data. The data science icon implies a scientific approach to extracting knowledge from data. The data quality icon denotes the accuracy and reliability of data.

Graphical Look

• The slide background is white, providing a clean and minimalist aesthetic.
• The title "DATA RELATED CONCEPTS" is centered at the top of the slide in bold, dark gray text.
• Four stylized icons sit in a row beneath the title, each depicting a different data-related concept.
• The first icon is three stacked red disks, representing a database or generic data.
• The second icon shows the same three stacked disks with a magnifying glass, signifying data analysis or search functions.
• The third icon has the three disks interlaced with a DNA double helix structure, indicative of data science.
• The fourth icon includes a gear and ribbon, illustrating data quality.
• Each icon is labeled with its corresponding concept below it in a smaller, lighter font.
• Below the main icons, there's a subsection titled "Circled versions" with alternative versions of the icons enclosed in red circles.
• An additional note to the right suggests that the icons are "Fully editable & automatically adjusting to color schema," shown next to grayscale versions of the icons.

The slide has a modern and professional design using a red and gray color scheme, conveying visual uniformity and categorization through iconography.

Use Cases

• To introduce different components of data management and explain their importance in a business presentation.
• As part of an educational segment on data literacy within corporate training or workshops.
• For highlighting the areas of expertise in a company's data department during a team meeting or organizational overview.
• When discussing improvements or implementations in a company's data processing systems during strategic planning sessions.