Introduction to Data Analytics

Data Analytics Overview

• Systematic approach to transform raw data into valuable insights.
• Incorporates technologies and tools for data collection, cleaning, transformation, and modeling.
• Acts as a support system for decision-making, crucial for business growth and performance optimization.

Importance of Data Analytics

• Provides actionable insights that drive business strategies.
• Enhances operational performance through data-informed decisions.

IoT Analytics

• Involves collection, processing, and analysis of data generated by IoT devices.
• Capable of handling vast, heterogeneous data streams for valuable insights.
• Considered a subset of Big Data, vital for real-time insights and predictive analytics.

Roles of Data Analysts in IoT

• Define organizational goals and objectives.
• Conduct data mining to extract relevant patterns and information.
• Perform data cleaning to ensure accuracy and reliability.
• Analyze data for actionable insights.
• Identify trends and recognize patterns within data.
• Prepare and deliver comprehensive reports on findings.
• Maintain data systems and ensure data integrity.

Importance of IoT Data Analytics

• Facilitates real-time decision-making based on data insights.
• Enables predictive maintenance, enhancing equipment lifecycle management.
• Drives cost-effectiveness through efficient resource utilization.
• Improves customer experiences and service delivery.
• Strengthens security by detecting anomalies and potential threats.
• Offers scalability and flexibility for growing data needs.
• Ensures regulatory compliance through data oversight.
• Encourages innovation and product development through insights.

Real-World Use Cases of IoT Analytics

• Walmart: Monitors customer arrival rates and checkout timing to optimize staffing and queue management.
• Amazon Go: Utilizes IoT sensors for real-time tracking of items taken from shelves, enabling checkout-free shopping.
• Barcelona: Employs IoT analytics in water management to detect leaks and optimize water distribution.
• Singapore: Implements IoT for traffic management, adjusting traffic light cycles according to live traffic conditions.

Basics of Data Communication

• Effective data communication relies on delivery, accuracy, timeliness, and minimal jitter.
• Key components include message, sender, and data transmission pathways.

Computer Network Terminologies

• Network: A system of interconnected nodes.
• Nodes: Devices within the network.
• Protocol: Rules governing data communication.
• Topology: Structure and layout of the network.
• IP Address: Unique identifier for devices on the network.
• DNS: Translates domain names into IP addresses.
• Firewall: Security mechanism controlling incoming and outgoing network traffic.

Network Performance Criteria

• Performance: Involves transit time (speed of data travel) and response time (time taken for an inquiry to elicit a response).
• Reliability: Assessed by the frequency of failures and recovery time.
• Security: Focus on protecting data from unauthorized access.

Benefits of Computer Networks

• Resource sharing facilitates efficiency and cost savings.
• Enables communication, access to information, and remote management capabilities.
• Supports internet connectivity and enhances overall competitive advantage.

Types of Network Connection

• Point-to-point connection: Direct link between two devices, maximizing throughput.
• Multipoint connection: Shared communication line among multiple devices; can be spatially or temporally shared.

Categories of Networks

• Classified by size, ownership, distance covered, and physical architecture.
• LAN (Local Area Network): Covers small geographic areas; facilitates resource sharing among connected devices.
• MAN (Metropolitan Area Network): Extends across a city, managed by private entities or public service providers.

Protocols and Standards in Networking

• Protocols establish the framework for data communication, defining syntax, semantics, and timing.
• Essential for effective data exchange and maintaining orderly communication paths.

Class Activity and Research Topics

• Analyze the functions of hubs, switches, routers, firewalls, and gateways.
• Discuss importance of device management in IoT applications and communication features in fields like physical fitness.
• Explore limitations of IoT technology and its impact on various sectors.

Explore the systematic approach to data analytics and how it transforms raw data into valuable insights. Learn about the technologies and tools that support data collection, cleaning, transformation, and modeling. Understand the importance of data analysis in decision-making and business growth.