AI Research that no one does but us

In addition, we have Classical Research and ready-made solutions in the field of national and international legal and formal challenges regarding the protection of personal data (especially between EU and non-EU countries)

Calling a large number of cold calls with specific goals. Insight and cooperation: The client has an insight into the complete process and cooperation with us all the way.

Data: capabilities of processed complex and / or massive data.

Analysis by experienced experts in the fields of research and data processing.

AI Research

WHAT WE DO

AI CATI, AI Chat Bot Research, Data Mining

CASE STUDY

Thoughts and insights from the GELD DATA team

Buying Decision

BUYING DECISION

Question: What is your role in deciding to buy a brand / brand of interior colors?

60% of respondents decide alone or with family members.

Brand Recognition

BRAND RECOGNITION

Respondents spontaneously typed their answers which further reinforces the impression of the brand. Spontaneous mention of competitor brands is also significant.

Values Comparison

VALUES COMPARISON

Is your brand best value for money or simplicity of use? Key values define your brand and market positioning.

Gather Information

GATHER INFORMATION

Question: Where did you all look for information when you decided to buy this product?

Recognition of your brand and that of your competitors

Are you sure the general population recognizes or differentiates you from your competition? Let's be sure and find out the details.

The perception of your brand determines the position of your brand

Establishing hypotheses (which we will accept or reject) before starting the research is crucial for objective conclusions.

Your brand values should be ranked by importance

Question: "The table below lists the claims. Mark all the statements that most relate to the brand of facade systems."

Data Preprocessing:

Before applying data mining techniques, data must be preprocessed to ensure quality and consistency. This involves:

  • Data Cleaning: Removing noise and handling missing values.
  • Data Integration: Combining data from different sources.
  • Data Transformation: Normalizing and aggregating data.
  • Data Reduction: Reducing the volume but producing the same analytical results.

Data Mining Techniques:

Several techniques are used in data mining, including:

  • Clustering: Grouping similar data points together.
  • Classification: Assigning data to predefined categories.
  • Regression Analysis: Predicting a continuous value.
  • Association Rule Mining: Finding relationships between variables.
  • Anomaly Detection: Identifying unusual data points.

Ethical and Privacy Considerations:

While data mining offers significant benefits, it also raises ethical and privacy concerns. It is crucial to:

  • Ensure Data Privacy: Protect personal and sensitive information.
  • Conduct Ethical Analysis: Avoid misuse of data and ensure transparency.
  • Implement Safeguards: Use appropriate measures to prevent data breaches and misuse.
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