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How to Extract Actionable Advice From Your Data

Extract Actionable Advice From Your Data

Internet data analytics can provide a wealth of information about who visits your site and where your visitors come from. But while collecting data is important, knowing what to do with that information can really add value to the business.

In this article, we'll explain what statistics to take action against, how to determine them, and how to use metrics to turn your data into conclusions that can help improve your business.

What are the statistics?


Simply put, it's analyzing why something happened. Statistics are critical to determining actions, and they help you focus on what's important to your business goals.

A useful statistic on which action can be taken is an essential component of knowing what needs to be done in order to successfully improve and refine our project.

How to determine the statistics


To identify useful statistics, the following six steps can be taken:


1. Defining the goal: Here what your campaign aims to achieve is clearly defined.

2. Data collection: Collect and organize any statistics or information relevant to your goal.

3. Interpreting the data: Analyze trends and all that differs from them to see how this affects your goals.

4. Develop recommendations: Provide justified suggestions on how to improve business practices based on what you have learned from analyzing your data.

5. Take action: put recommendations into action; develop an implementation plan to test the assumptions you have made.

6. Review results: Evaluate whether your actions have the desired effect, and take note of how you can add further improvements to achieve better results.


How data can lead to useful statistics


Let's look at an example online to explore how the data can lead to useful insights that can be acted upon.

Let's say Zina works with a team responsible for planning a charitable sporting activity, and her goal this year is to get 250 people to sign up for the activity.

Since its goal is to increase attendance, the data it collected from statistics can include the number of people who complete the registration form, the channels they use to register online, and the number of people who share posts on social media.

Analyzes reveal that social media channels are the main source of subscriptions, which leads Zeina to search to identify the social media posts that are most effective in driving up registrations.

When interpreting the data, trends show that registrants who share charitable activity posts on their personal social media accounts had the most to increase the number of new registrations.

Looking at these statistics, Zeina can conclude that those registered in the sports activity can promote the event and encourage more subscriptions.

To turn this conclusion into a useful statistic, Zina has to identify a procedure on the basis of her research.

For example, they can design a set of social media posts that provide easy instructions to registrants on how to promote sports activity through their own social media accounts.



After we've explored how to derive useful statistics for action, think about how you can use your online data to help you make a decision you're considering.

What do you want to learn from the information available to you and how can useful statistics help you move closer to achieving your goals?

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