Process of Predictive Analytics

Slide Content:

The PowerPoint slide outlines the sequential steps in the predictive analytics process, starting from data gathering, which involves collecting data from various sources, to data analysis, which is the examination and interpretation of that data. Preparing data refers to cleaning and structuring data for analysis, while predictive analysis uses statistical techniques to forecast outcomes. Knowledge extraction is about deriving actionable insights, and data visualization is the graphical representation of data, concluding the process before applying these insights in business.

Graphical Look:

• Six rectangular banners with rounded corners, each containing an icon and a title.
• The icons are set against different colored backgrounds: blue, grey, teal, green, yellow, and red.
• A flowchart element connects the banners, indicating the process flow from left to right.

The slide has a clean, professional design with a logical flow represented by the connecting flowchart element. The use of distinct colors and clear icons effectively communicates the different stages of the predictive analytics process.

Use Cases:

• Training sessions for data science and analytics teams.
• Business strategy meetings to explain the role of analytics in decision-making.
• Sales presentations to showcase an analytics software or service.
• Educational presentations for students studying data science or business intelligence.