How Content Marketers Can Tell Better Stories with Data

 Data is one of the most compelling storytelling tools. One percentage tells a story that would require an entire paragraph to explain. has expert writers who understand how to use data in storytelling in order to deliver the most captivating stories.  

Whether you are writing a business blog or academic essay, data will help you to convince the reader about your point. However, data is not just used in an article or essay. There are rules that will make the data effective in telling your story. Here are tips on how data can be used in telling convincing stories.  

· Capture Data At Introduction 

Introduce your story using data. Tell the reader about the percentages or fraction of people, businesses, nations, and such other elements that are the subject of your writing. Such data is useful in putting into context the point you are trying to pass. It creates a sense of urgency to resolve the issues that are highlighted by the data.  For example, it would be shocking to learn that one in sixteen men are victims of domestic abuse. The reader will want to know the causes and solutions you are proposing. However, the story will only be important if the data is included in the introduction of your essay. 

· Use Credible Sources Of Data Data is only appealing if it is accurate and can be verified. The truth is that numerous organizations conduct research around the world. However, scholars will only believe if the processes or tools of research are authentic. This is the only way to get believable or credible data.  Researches and institutions release findings on a regular basis. Pick data from researchers and institutions that have an outstanding culture of delivering quality data. Weak institutions or unethical researchers will cause you to mislead readers. Weak or unverifiable data will weaken your argument. 

· The Data Used Must Be Relevant Do not quote data for the sake of adding words to your essay or article. The data quoted must help in advancing the main point. In fact, it is meant to help readers to understand your issue better. A student must understand how to choose data for your research paper so that it will make sense to the reader. There is a lot of data available in journals, books, and other learning materials. Some data may also not represent the idea as accurately as is desired. Data will only be relevant if it can tell the story or support the idea on its own. It should not require extensive explanations to make sense.  

· Show Trends  Use the data to show trends or track the progress made. Data is clear because it can give a better image of improvement or decline. The trends that can be seen through the data will enable you to make a conclusion and back it up using credible evidence.  The trends should be extracted using the same formula and by the same institution. Different researchers or methods will result in varying conclusions. Data collected in this manner will, therefore, be misleading.  

· Be Consistent And Accurate In Analysis Data can be interpreted in multiple ways. There have been cases of researchers and analysts misrepresenting data in order to drive a particular point. Such ideas will be weak and are easily negated by other researchers. Accurate analysis and interpretation of data help you to make the point in a way that cannot be disputed. Inconsistency or inaccurate analysis will mislead the reader. Do not force data to say the things that it clearly does not say. If a reader or analyst follows through the methods used, he or she must find that it is accurate and acceptable.  

· Appreciate The Biases That Exist 

Reveal the shortcomings that researchers identified when dealing with the data. All researchers will reveal the biases or aspects that they ignored when dealing with particular information or making conclusions. Such revelation gives a clear picture of the situation and the processes that were involved in the data collection processes.  

The sincerity of researchers helps readers to understand the situation better. It will also enable a reader to draw a more realistic conclusion and not be surprised by the outcome. For instance, when collecting data on gender violence against men, the researcher could indicate that psychologists or sociologists indicate that men are not good at revealing the abuse they receive. It means that the data will have a minus or plus issue.  

Data will only tell the story to a certain extent. You have the responsibility of explaining why you have selected the particular figures and the point you are trying to put across. This provides justification for why particular data is more appropriate for your story than any other. The secret for using data in your storytelling is to maintain accuracy and use credible sources that will give the real picture about issues.   

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