Statistical analysis: Collect samples of data to identify patterns and trends. Several methods of statistical analysis include regression, mean, and standard deviation. Descriptive analysis: Summarize and organize data points from past quantitative data (a.k.a. the “what”). You can untangle these...
Here’s an overview of how you can analyse survey data, identify trends and hopefully draw meaningful conclusions from your research. 1. Review your research questions Research questionsare the underlying questions your survey seeks to answer. Research questions are not the same as the questions in...
It analyzes historical data in tandem with industry trends. Predictive modeling can be used to make predictions about future trends or events. Prescriptive analytics answers the question, “What should we do next?” It takes into account all possible factors in a scenario and suggests actionable ...
In this blog, Learn what is data, different types of data, how to store and analyse data and more which will help you understand the meaning and significance of data.
public or private enterprises. Whatever sector or field you work in, you will always come across data, either indirectly as someone who relies on data-driven decisions or directly as someone who interprets it. In this session, we discuss the introduction part of how to analyse data using ...
In case you want to draw more details about how your channel is performing, you can click on either of these three metrics and make use of visualisations such as line graphs to analyse your data. For example, if you to figure out the types of days when you get more views such as wee...
The Excel worksheet is a trustworthy and versatile tool for data analysis that can deal with numerous types of data. One of its standout features is the QUARTERLY function, which enables users to extract the quarter from a date value. This can help users to analyse data depending upon quarter...
A data analyst processes datasets with the aim of deriving insights on a particular topic. They collect, clean, analyse and interpret data to answer questions and solve problems related to datasets. Data analysts can apply themselves in many different fields, from business or ...
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to areas that matter more for your business. What’s more significant is the insights that you can draw using these digital tools. With MyDHL+, we can analyse trends such as popular shipping destinations, commodities and parcel sizes. Noting that these are important ...