Analysis

The amount of data that can be collected in a market research study can be huge, Thinkfield can help in making sense of Big Data.

Data Organisation

Organising and managing all collected data needs to be done with upmost professionalism, within the organisational guidelines, ethics and laws governing the project jurisdiction. With key considerations to:

  • The privacy of the respondents
  • Backups and security
  • Data transfer, encryption and availability

Data Reduction

Unnecessary data can cloud key findings and make analysis difficult. Stripping out the redundant data from data collection efforts will enable:

  • More accurate correlation and analysis
  • Stronger insights to be interpreted
  • Clean data visualisation

Data Cleansing

High quality data needs to pass through a set of quality checks, including:

  • Accuracy
  • Integrity
  • Completeness
  • Validity
  • Consistency
  • Uniformity
  • Density
  • Uniqueness

Visualisation

By combining scientific measurement with qualitative research techniques - sight, sound, smell, taste and touch can be measured and incorporated into research data to provide:

  • Sensory profiling
  • Objective interpretations
  • Enhanced product and experience review

Presentation

One challenge in successfully concluding a research project is in presenting the findings from research studies in a manner to command the attention of the intended audience and inspire organisation wide action, Thinkfield can aid research presentations by:

  • Engaging high level leaning principles
  • Producing rich media reports
  • Facilitating workshop Presentations

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