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How To Use Statistical Analysis In Business



Running a business is not easy. If you’re not taking a close look at the finer statistics of your business, you could be missing out on a whole lot of valuable information. These finer details can be the difference between feeling stuck and propelling your business forward. 

But what exactly is data analytics and how can you use it to your advantage in the world of business? Read on as we take a closer look.

What is Data Analytics?

Data analytics involves studying data sets and drawing conclusions from their results. Using the techniques of data science allows you to view raw data, see patterns in them and extract valuable insights. Data analysis can help businesses better understand their client base, personalize their ad campaigns and content, develop content strategies and develop products that they think their customers will want.

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Data analysis can help better understand customers, decrease costs, and ultimately optimize outputs. 

How to Use Data Analytics

Data analytics has a great amount that it can provide to businesses, but first, you have to be able to unlock the key concepts. Analysis techniques can help businesses improve their performance by enhancing their budget, marketing, ad campaigns, and much more.

Improved Decisions

Companies can use the data they analyze to better understand the decision they have to make, often resulting in better, more favorable outcomes. Data analysis eliminates the guesswork out of deciding what content to create, products to create, and marketing campaigns to follow. 

It allows you to better understand your customers, and thus better meet their needs. Modern techniques mean you can constantly keep on top of this process, as times are constantly changing and adapting. Keeping ahead of the game helps make sure you don’t get left behind.

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Improved Customer Service

Analyzing data will help you to better understand your customers, allowing you to tailor your services to meet their needs and improve profitability. You can also improve your relationships with customers this way. Data can reveal your customer’s interests, concerns, and much more.

Having a centralized place where this data is sorted and communicated to the rest of your business can help ensure that your sales, marketing, and customer service teams are all on the same page.

Better Marketing

Understanding your audience means you can better understand how to market to them. Data analytics allows you to fine-tune your marketing strategies for ultimate effectiveness. Improving your targeting results in greater conversions and less ad waste.


Greater Operational Efficiency

Data analysis can help you improve your work processes across the board. A greater understanding of what it is exactly that your audience wants helps you to target your efforts and waste less time on campaigns that are missing the mark entirely. 

The net result of this is less time wasted and improved results from your content strategies and ad campaigns. Aside from reducing your costs, data analysis can help increase your revenue through increased conversions.

What Kinds of Data Analysis Are There?

Data analysis can be performed either manually or through automation. Whatever way you choose, you are sure to see favorable results. Let’s look at some of the methods that they can be used for.

Text Analysis

Also known as text mining or data mining, text analysis takes large amounts of textual data and sorts it out to be used. A system could, for example, analyze text to deduce what kind of sentiments users are feeling based on their word choice. This can be useful in surveys, social media responses and campaigns, articles, product reviews, and much more. 

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Diagnostic Analysis

By diagnostic analysis, a user aims to understand why a particular event took place. As such, it is also sometimes known as root cause analysis. Diagnostic analysis is used to deduce patterns and ascertain anomalies. 

Statistical Analysis

Statistical analysis is often broken down into two further pieces, inferential analysis or descriptive analysis. The former aims to confirm or deny hypotheses by people to try to understand what happened. The latter depends on a sample that must be taken randomly to account for a general population. 

This type of analysis is common in market research as it summarising existing patterns from data and calculations. 

The Bottom Line

Statistical analysis is vital if you want to streamline your business operations, target your efforts, and maximize growth and profits. It can be applied to almost any industry or business model and targeted to the data sets most relevant to your industry niche and client base. You can also focus your data analysis on the areas that are most relevant to your business goals and aspirations.

The world we live in is constantly changing and keeping on top of the data relevant to your business model can help ensure you keep a foot in front of your rivals and not get left behind in a rapidly changing world.

Vanessa Campbell has been a Senior Writer for more than a decade already. She has liaised closely with key members of the Marketing and Leadership team as well as key stakeholders, providing content support for concepts and ideas to take brands to the next level. She has been leading marketing campaign initiatives that have successfully thrived and prosper throughout the years.