Our data analysis services:

Descriptive Statistics: Summarizing and describing key features of a dataset, including measures such as mean, median, mode, and standard deviation.

Exploratory Data Analysis (EDA): Analyzing and visualizing data to identify patterns, trends, and relationships. EDA often involves techniques such as scatter plots, histograms, and box plots.

Inferential Statistics: Making inferences and predictions about a population based on a sample of data. This may involve hypothesis testing and confidence intervals.

Social Media Analysis, including but not limited to:

•           Sentiment Analysis: Monitor public perception of your sustainability programs and brand

•           Trend Identification: Track emerging issues or topics relevant to your industry and sustainability commitments

•           Stakeholder Mapping: Identify key influencers and networks in your sector and sustainability space

Text Analysis: Analyzing and extracting information from text data, usually for qualitative data. This includes sentiment analysis or topic modeling.

Document Mining: Uncover valuable patterns across large volumes of project documents and reports

Geospatial Data Analysis: Analyzing geographic or spatial data to understand patterns and relationships using Geographic Information System (GIS) tools.

Custom Analytics Solutions: Developing tailored data analysis solutions based on specific business needs or research objectives.

Method: Data analytics using data analytics software such as Microsoft Excel, R, QGIS, or NVivo.

Deliverables: Data analysis result, mostly in a data analytics dashboard form.