0115 sample advantages benefits of big data analysis and modelling ppt slide

Description:

The image is a PowerPoint slide presenting the "Sample advantages benefits of Big Data analysis & Modelling." Each advantage is associated with a percentage, indicating the perceived improvement or impact of Big Data on that area.

1. "IMPROVED RISK MANAGEMENT" has a 44% improvement rate, implying that Big Data helps companies better anticipate and mitigate risks.

2. "IMPROVED MANAGEMENT CONTROL" shows a 36% enhancement, suggesting that Big Data provides better oversight and control mechanisms for 
managers.

3. "IT ANALYSIS" is marked with a 40% increment, which could mean more efficient information technology processes and analytics due to Big Data.

4. "BETTER CUSTOMER SERVICE" notes a 36% increase, indicating that Big Data positively impacts the quality of customer service.

5. "MORE MARKET-ORIENTED PRODUCT DEVELOPMENT" highlights the largest impact at 42.7%, suggesting that products can be better tailored to 
the market needs to use insights from Big Data.

6. "OPTIMIZED LOGISTICS" has a 29% improvement potential, pointing toward more efficient supply chain and logistics management with Big Data.

7. Lastly, "INCREASED SALES FIGURES" and "FINANCES" are marked with improvements of 32% and 26.7%, respectively, indicating that sales and financial performance can benefit from Big Data analytics.

In the center, there is a placeholder for a laptop image with text encouraging the viewer to download the diagram and stressing the editability of the slide for presentation purposes. Additionally, there is a place for "Your Logo" at the bottom right, suggesting customization for the presenting organization.

Use Cases:

Here are seven potential industries where these slides can be used:

1. Finance:

Use: Presenting the financial impact of Big Data on risk management and financial performance.

Presenter: CFO or Financial Analyst

Audience: Investors, Financial Department

2. Retail:

Use: Showcasing how Big Data aids in customer service and sales improvements.

Presenter: Retail Operations Manager

Audience: Retail employees, Store managers, Marketing team

3. Technology:

Use: Describing the benefits of IT analysis improvements through Big Data.

Presenter: CTO or IT Manager

Audience: IT professionals, Stakeholders

4. Transportation & Logistics:

Use: Discussing the optimization of logistics through Big Data analytics.

Presenter: Supply Chain Director

Audience: Logistics personnel, Supply chain partners

5. Healthcare:

Use: Illustrating improvements in management control and operational efficiency using Big Data.

Presenter: Healthcare Administrator

Audience: Healthcare professionals, Administrative staff

6. Manufacturing:

Use: Highlighting the role of Big Data in market-oriented product development and operational efficiency.

Presenter: Manufacturing Operations Manager

Audience: Product developers, Engineers, Production staff

7. Marketing and Advertising:

Use: Demonstrating how Big Data can refine customer service and drive sales figures.

Presenter: Marketing Director

Audience: Marketing team, Sales representatives, Advertisers