Data Analysis
Dive into the heart of your data with our Data Analytics Service. Utilizing the data you've gathered, we enhance your projects/programs with robust data analytics—providing valuable insights that drive informed decision-making and strategic actions. We can also empower your team with basic data analytics training, ensuring everyone is equipped with the skills in basic data analysis.
The example of our data analysis services is outlined below:
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.
Text Analysis: Analyzing and extracting information from text data, usually for qualitative data. This includes sentiment analysis or topic modeling.
Spatial 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.