2. What is Data?
• Data refers to raw facts, figures, and statistics
collected for reference or analysis.
• Types of Data:
• - Structured Data (e.g., databases,
spreadsheets)
• - Unstructured Data (e.g., videos, images,
emails)
• - Semi-structured Data (e.g., XML, JSON files)
3. Importance of Data
• - Drives decision-making processes
• - Enables data-driven strategies
• - Essential for AI and machine learning
• - Helps businesses gain competitive
advantages
4. Data Lifecycle
• 1. Data Collection
• 2. Data Storage
• 3. Data Processing
• 4. Data Analysis
• 5. Data Visualization
• 6. Data Archiving/Deletion
5. Data Privacy and Security
• - Protecting personal and sensitive
information
• - Ensuring data is used ethically
• - Compliance with laws (e.g., GDPR, HIPAA)
• - Implementing strong cybersecurity practices
6. Future of Data
• - Big Data will continue to grow exponentially
• - Real-time data processing will be the norm
• - Data will fuel advancements in AI, IoT, and
cloud computing
• - Greater focus on data governance and ethics
![Understanding Data
The Backbone of Digital
Transformation
Presented by: Darshan Aher
Date: [Insert Date]](https://image.slidesharecdn.com/understandingdatapresentation-250408063238-1a5a2165/85/Understanding-Data-Presentation-on-Data-Analytics-1-320.jpg)
