Catalog
method#Data#Analytics#Communication Strategy#Semantic Mapping

Semantic Mapping

Semantic mapping is a method for organizing information through logical connections.

Semantic mapping allows for structuring and understanding complex data through visual representations.
Established
Medium

Classification

  • Medium
  • Organizational
  • Design
  • Intermediate

Technical context

Databases like MySQL or PostgreSQLVisualization software like TableauProject management tools like Jira

Principles & goals

Visual elements are crucial for understanding.Data must be contextualized.Feedback is essential for continuous improvement.
Iterate
Team, Domain

Use cases & scenarios

Compromises

  • Misunderstandings due to incorrect interpretation.
  • Overload due to too much information.
  • Lack of acceptance within the team.
  • Regularly collect feedback.
  • Keep concepts clear and simple.
  • Use visual aids effectively.

I/O & resources

  • Relevant datasets for analysis
  • Target groups and their needs
  • Software tools for visualization
  • Visualized data in the form of diagrams
  • Insights about patterns and relationships
  • Improved communication strategies

Description

Semantic mapping allows for structuring and understanding complex data through visual representations. This method helps teams recognize relationships and develop effective communication strategies.

✔

  • Facilitates the understanding of complex data.
  • Improves team communication.
  • Increases meeting efficiency.

✖

  • Requires a certain level of visual competence.
  • Can be time-consuming to find the right connections.
  • Not all topics are visually representable.

  • Number of provided diagrams

    Counts the diagrams created as results.

  • Time spent for creation

    Tracks the time required to create the diagrams.

  • User satisfaction

    Measures how satisfied users are with the method.

Application in a Marketing Project

A company used semantic mapping to enhance its marketing strategy.

Visualizing Data for a Presentation

A team visualized data to support its arguments in a presentation.

Developing a Communication Campaign

The method assisted in planning and executing a successful communication campaign.

1

Define objectives and target audiences.

2

Collect and analyze relevant data.

3

Create concept maps and diagrams.

⚠️ Technical debt & bottlenecks

  • Outdated software for data visualization
  • Insufficient training for the team
  • Lack of access to necessary data
Insufficient data qualityLack of support from managementInsufficient training for employees
  • Misunderstanding of diagrams
  • Overloading presentations with data
  • Ignoring feedback
  • TODO Example
  • TODO Example
  • TODO Example
Data analysis skillsKnowledge of visual methodsTeamwork and communication
Modularity of data organizationFlexibility in presentationUser-friendliness of tools
  • • Limited access to relevant data
  • • Regulations for data security
  • • Technological limitations of the used software