Data Analysis Evolves At An Unprecedented Pace In 2020

Despite the challenges of that this year has brought, data analysis in 2020 has continued to expand and improve beyond belief. Brush up on the basics of data analysis to get up to speed.

data analysis in 2020
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Would your business benefit from the use of data analysis? In this article, we discuss what this practice is, how it is done and why you might require its use. This should help you to decide whether it is right for you and your organization.

What is Data Analysis?

The term data analysis refers to the recovery of useful information from data. The information in question may relate to internal operations, and productivity, consumer preferences and behavior, product use or popularity along with wider industry activity or trends and almost any other details that directly affect the success or performance of your brand.

How is Data Analysis Undertaken?

Many companies who utilize this approach employ a specialist to oversee and undertake the tasks involved. However, smaller businesses may include these duties as just one part of a roster of responsibilities handled by an individual. The process of data analysis tends to follow three main stages, although this may vary depending on the type of information being used and the purpose for which it has been collected. The first step is the evaluation of information that has been gathered. The contents of a datafile should be comprehensively understood before they can be put to use. It’s important to determine whether or not the dataset is complete, the methods that were used to collect the information and how this may affect its quality, and whether any outliers exist (and if so, why?).

Once these details – and any other necessary factors – have been summarized and understood, you can move on to the next step, which is cleansing. This basically involves properly formatting the information with which you are working and organizing it into fields to make it easier to read and use. Finally, you must properly summarize the facts that have been determined from the material you have evaluated and cleansed. What does this information tell you about your business’s approaches, successes, audiences or any other relevant field? Many companies then display the results of this summarization as a series of reports or charts that can be easily compared against others to determine what changes or elements of progress have taken place, or to plan a course of action to improve certain processes and their results.


Why Should You Use Data Analysis?

These disciplines can be very useful when it comes to internal resources – the tools that keep the inner working of your business ticking over such as the use of a managed service provider. With an MSP, you can grow your business with improved efficiency to not only keep current customers happy, but to win over new business. To maximize efficiency, if you utilize automation management solutions, for example, data analysis will prove extremely helpful as data informs the algorithms used by automated systems. It can also help in the operations of network diagram software, as information collected from across your company’s internal and wider networks will enable programs of this kind to create a clear map, covering all devices and activities.


If your company is considering a computer software update, collecting and analyzing statistics related to the resources and tools most regularly and effectively used by your staff members will help you to choose programs that more closely fit your requirements. Of course, there are also plenty of benefits that can be applied to your business’s public-facing side. The analysis of customer preferences and behavior will enable you to better appeal to your target audience. The study of how and where you spend money – and the direct results that expenditure – will help you to budget more effectively. Investigations into the activities of other companies within your industry will enable you to determine where you stand among your competitors. All of these details and more can be determined through simple data analysis.

Ryan Kade is the editor overseeing contributed content at Smartdata Collective and contributes weekly column.