Whether you work in a data function in-house or for a data analysis company, the data analysis process is likely to follow common steps. Let’s take a closer look.
What Is the Data Analysis Process?
The data analysis process is a structured approach towards turning raw data into meaningful information that helps to guide effective decision-making. Although different organisations may approach analysis in a slightly different way, this is the typical sequence for a thorough and robust process.
Data Definition
This stage includes defining the objectives of the data collection and the questions that need to be asked. For a data analysis company such as //shepper.com/, this process will be guided by the needs of the client.
Data Collection
There are many different methods of data collection, which usually involve interrogating internal sales and marketing systems. Data can be collected from websites, CRMs and other sources. Many modern data analysis systems link with in-house databases to extract data for analysis.
Data Cleaning
Data must be clean to be accurate. Otherwise it will skew the results of the work and make it invalid. Data professionals use data cleaning methods to ensure quality results. Without this step, the entire body of work can be rendered invalid.
Data Analysis
This stage is carried out when the body of correct data has been gathered and cleaned so that there is a sample size that meets the project needs with the right attributes for validity. Data analysts will apply different tools to answer the questions posed by clients.
Data Interpretation
The data analysis is transformed into reports and tables as part of the data visualisation piece. There is a narrative applied called data storytelling, which puts the results of the exercise into context.
These activities help to structure and flow data analysis work and ensure it produces reliable, valid and high-quality results that provide vital guidance for decision-making. In today’s fast-paced and highly competitive world, a solid data culture is more important than ever, and businesses are investing heavily in these capabilities to maintain a competitive advantage.