SoftGuide > Functions / Modules Designation > Competitive Analysis

Competitive Analysis

What is meant by Competitive Analysis?

Competitive Analysis refers to the process of systematically capturing, analyzing, and evaluating information about a company's competitors. The goal of competitive analysis is to gain insights into the strengths, weaknesses, strategies, and activities of competitors in order to enhance the competitive position of one's own company and make informed strategic decisions.

Typical features of software in the "Wettbewerbsanalyse" area may include:

  1. Data aggregation: Gathering and compiling data about competitors from various sources such as company websites, press releases, social media, industry reports, and market research studies.

  2. Data analysis: Analyzing the collected data to identify trends, patterns, and key information about competitors, including their products, services, pricing, distribution channels, customer reviews, and market positioning.

  3. Benchmarking: Comparing the performance, product features, and business practices of one's own company with those of competitors to identify strengths and weaknesses and recognize improvement opportunities.

  4. SWOT analysis: Conducting a SWOT analysis (Strengths, Weaknesses, Opportunities, Threats) of competitors to assess their strategic positioning and identify potential opportunities or risks for one's own company.

  5. Market segmentation: Segmenting the market by competitors and analyzing market shares, growth rates, target audiences, and positioning strategies of competitors in different market segments.

  6. Reporting and visualization: Generating reports, dashboards, and visual representations of competitive analysis results to facilitate communication and decision-making within the company.

  7. Competitive monitoring: Continuously monitoring the activities, strategies, and changes among competitors to quickly respond to market changes or competitive threats.

The function / module Competitive Analysis belongs to:

Statistics/Forecast

classification and regression trees
Course participant and learning statistics
Customer and sales data analysis
Customer evaluations
Econometric and statistical analyses
Linked data management
Mandate analysis
Metropolis algorithm
Network Statistics
Predictions
Utilization analysis according to loss classes

Software solutions with function or module Competitive Analysis: