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

analyses of covariance
Article hit and rivet lists
Bayesian analysis
Before-and-after comparisons
Budget information
Business Impact Analysis
Capacity evaluations
Cashier hit list
Classification and prediction
classification and regression trees
Cluster analyses
Clustering
Collaborative Planning
combinatorial problems
comparative statistics
Container accounting
Correlation matrix
Correlations
Cost analysis and budget control
Course participant and learning statistics
Course statistics
Customer and sales data analysis
Customer evaluations
Customer statistics
Econometric and statistical analyses
Energy price analysis
Error analysis
Excel export
Financial market statistics
Financial reporting
Fluctuation statistics
forecast result
Forecasting
Forecasting and planning
Gibbs sampling
Key figure simulations
KTL evaluation
Linked data management
liquidity analysis
Management evaluations
Mandate analysis
matrix calculus
Mean values
Measurement data
Metropolis algorithm
Movement profiles
Network Statistics
Order tracking
Performance analysis
Permutation test
Personnel key figures
Plausibility check
predictions and model simulation
Predictive analytics
Predictive Modeling
previous year view
Probabilities of occurrence
Probability analysis
Probability distributions
Probability functions
Projection comparison
Random generator
Regression analysis
Regressions or equalization calculations
Resume analysis
Risk analysis
Sales comparisons
Sales hit lists
Sales lists
Sales statistics
Sales statistics
Sampling system
Seller hit list
Sequence analysis
Shopping cart analysis
Signal statistics
Six Sigma
Statistical Analysis
statistical calculations
statistical cost planning
statistical methods
Time data, time series, calendar
Time series analyses
Travel expenses
Trend value analyses
Utilization analysis according to loss classes
Weighting functions
What-if analyses

Software solutions with function or module Competitive Analysis: