Data analysis is the process of compiling and modelling data to support decision making. It involves sourcing information, applying analysis techniques and interpreting it in context in order to draw appropriate conclusions.
Why data analysis is important
Analysing and understanding data allows businesses to make informed decisions and improve efficiency and profitability by using appropriate data sources to understand, benchmark and model relevant information.
Steps involved in data analysis
There are six main steps that must be taken when performing data analysis. These involve defining the objectives, collecting the data, cleaning it, analysing it, visualising potential outcomes and delivering a narrative.
Some organisations find it helpful to engage the services of a data analysis company such as https://shepper.com/ to support them in this task the first few times they do it.
First, you must determine what outcome you want to achieve in order to tailor the data collection to only that which will be useful in informing your outcome. Next, you can collect the data from the most appropriate sources and through the most appropriate methods.
Once you have collected your data, it must be cleansed, correcting or removing inaccuracies and inconsistencies such that you are left with a reliable and accurate data set. You can then begin modelling the data, applying mathematical or statistical techniques to it to uncover patterns and trends.
Finally, you can interpret the data and visualise the results in a user-friendly format, such as graphs, charts or other pictorial representations. Always support this with a written narrative for ease of recall and to support decision making.
