03 Competitive Intelligence

🎯 Session Objectives

• Differentiate between Technology Surveillance and Competitive Intelligence.

• Conduct a technological market analysis and competitor benchmarking.

• Apply basic Web Scraping tools in Python to extract market data.

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🧠 Theoretical Content

1. Surveillance vs. Intelligence

While Surveillance is about gathering and filtering data, Intelligence focuses on positioning the company strategically based on that data.

2. Competitor Benchmarking

Benchmarking involves comparing your proposed technology or product against the best existing solutions in the market to identify performance gaps.

Feature	Our Solution	Competitor A	Competitor B
Cost	Low	High	Medium
Speed	High	Medium	Low
TRL	4	9	8

3. Web Scraping with Python (Introduction)

In the modern landscape, acquiring data from competitors' websites or marketplaces is critical. Python provides powerful libraries (BeautifulSoup, requests, pandas) to automate data extraction.

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🛠️ Class Activity: Preparing the Deliverable

1

Goal

Synthesize data into actionable intelligence.

2

Market Mapping

Identify 3 direct competitors solving the same industrial problem.

3

Data Scraping (Optional/Guided)

Use a basic Python script or browser extension to extract pricing or feature data from the competitors.

4

Structure the Report

Begin drafting the TS & CI Partial Deliverable.

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🚀 Deliverable (Partial)

Report due this week: Technology Surveillance (TS) and Competitive Intelligence (CI) Report.

Must include:

• S-Curve analysis.

• Relevant patents found (Lens/Google Patents).

• Competitor benchmark table.

• Conclusions on market opportunity.