SMA AND ITS TYPES, ANALYTICS  | SMADA | LECTURE 02 BY MS. KRITI MISHRA | AKGEC

SMA AND ITS TYPES, ANALYTICS | SMADA | LECTURE 02 BY MS. KRITI MISHRA | AKGEC

🎙 Ms. Kriti Mishra 👥 22K 📅 November 21, 2025 ⏱ 21 min 👁 186 📄 tutorial 🧭 2026-08-16
Available in: English (current) Français

Keywords

social media analyticstypessmall organizationslarge organizationsapplications

Summary

This lecture by Ms. Kriti Mishra introduces social media analytics, defining it as the process of gathering, analyzing, and interpreting data from social media platforms to make informed business decisions. It outlines the needs for social media analytics, including performance tracking, understanding audience behavior, competitor analysis, content optimization, brand reputation management, trend identification, customer support, and influencer marketing. The lecture then compares social media analytics in small versus large organizations, highlighting differences in budget, team size, tools, and strategic focus. It discusses the applications of social media analytics across marketing, customer service, product development, crisis management, political research, and more. Finally, it categorizes types of social networks, such as social networking sites, media sharing networks, professional networks, discussion forums, and others, explaining their purposes and use cases. The lecture is part of a course for B.Tech and MBA students, aiming to provide foundational knowledge for leveraging social media data in business contexts.

152 words

Critical Evaluation

Value of the Information & Strength of the Argument

The lecture provides a broad overview of social media analytics, covering definitions, needs, applications, and organizational differences. It is informative for beginners, offering clear explanations and examples. However, the argumentation is largely descriptive and lacks depth; it does not critically evaluate the effectiveness of different analytics types or tools. The lecture does not present any data, case studies, or empirical evidence to support claims, making the argumentation weak. It also does not address potential limitations or ethical considerations of social media analytics.

Scientific Rigor, Source Quality, Title Accuracy

The lecture is a tutorial with no citations or references to external sources. It relies on general knowledge and personal examples, which limits its scientific rigor. The title accurately reflects the content, but the content is not backed by authoritative sources. The description provides links to the institution’s website and a playlist, but these are not cited within the lecture. The lecture is suitable for introductory educational purposes but does not meet rigorous scientific standards.

172 words

Title / Content Match

The title accurately reflects the content: the lecture covers social media analytics and its types, as well as analytics for small and large organizations.

Quality & Reliability

6/10

The lecture provides a structured overview of social media analytics types and applications, but lacks depth and critical evaluation. It is an educational tutorial with no citations or references to external sources, and the content is largely descriptive.

Key Moments

Cited Sources

Concurring Sources

  • Social Media Analytics: A Survey of Techniques, Tools and Platforms — Academic survey that aligns with the lecture's overview of social media analytics.

Contribution & Novelties

The lecture provides a structured introduction to social media analytics, categorizing types and applications, and comparing small vs large organizations. It is useful for beginners but does not offer novel insights or advanced techniques.

Pour aller plus loin :

  • Social media analytics - Wikipedia — Provides a comprehensive overview of the field.
  • Descriptive, Diagnostic, Predictive, Prescriptive Analytics - Gartner — Explains the four types of analytics.
  • Social Media Analytics: Tools and Techniques - ResearchGate — Academic perspective on tools and methods.

81 words

Radar Profile

The radar profile shows moderate scores across all dimensions, indicating a balanced but not exceptional lecture. The highest score is in quantity of information, while technical level and reliability are lower, reflecting the introductory nature and lack of depth.

Reliability 5/10