WEEK 02 — DIGITAL TRANSFORMATION
Big Data, Porter's Value Chain, and Socio-Technical Systems
Exploring data structures, Big Data concepts, and organizational frameworks.
CHAPTER 01
Data Structures
Structured and unstructured data are two primary categories of data that differ in their organization, format, and ease of analysis.
CORE CONCEPT
Structured vs. Unstructured Data
Structured data refers to information that is organized in a predefined manner, typically in rows and columns, making it easily searchable and analyzable.
Unstructured data refers to information that does not have a predefined format or structure, such as social media posts, emails, and raw sensor data.
Customer Databases
Structured data example: names, addresses, phone numbers organized in a database.
Transaction Records
Structured data example: sales data and inventory lists.
Social Media
Unstructured data example: posts, comments, and interactions across platforms.
Multimedia
Unstructured data example: images, videos, web pages, and blogs.
Why is it important to distinguish between Structured and Unstructured Data?
Class Discussion
CHAPTER 02
Historical Focus on Data Types
Analyzing why organizations historically prioritized certain types of data over others.
How do we distinguish between Structured and Unstructured Data in practical applications?
Class Discussion
ANALYSIS
The Focus on Structured Data
Historically, companies focused more on structured data because it fit neatly into relational databases and was much easier to process, query, and analyze with traditional business intelligence tools.
Why did companies focus more on Structured data vs. Unstructured data?
Class Discussion
CHAPTER 03
Big Data
Understanding the characteristics and impact of Big Data in modern digital transformation.
DEFINITION
What is Big Data?
Big Data refers to the vast volumes of structured and unstructured data that are generated at high velocity from various sources, including social media, sensors, devices, transactions, and more.
KEY COMPONENT
CONCLUSION
Summary
Understanding the differences between structured and unstructured data is fundamental to navigating the Big Data landscape. Organizations must harness both data types to fully leverage their digital transformation efforts.
KEY TAKEAWAYS
- Structured data is easily searchable, while unstructured data lacks a predefined format.
- Historically, structured data was prioritized due to technological limitations.
- Big Data encompasses vast volumes of both structured and unstructured data generated at high velocity.