No matter how you spin it, a picture is worth a thousand words, and this surprisingly applies to data visualization. Data visualization is known to transform large data sets and metrics into visual elements as charts, graphs, and maps, which makes it easier for brands to analyze real-time trends, outliers, and patterns. Marketers can also make well-informed, data-driven critical decisions by implementing effective data visualization techniques. As the big data market shifts into high-gear, it’s now even more critical to get rid of unstructured and messy data in order to gain the clarity required to convey the right message to specific target audiences. As time goes on, the global data visualization market continues to grow, and its share is expected to reach a whopping $5.17 billion by 2026. What steps can you take to help your organization thrive?
Why Should You Focus on Data Visualization?
In addition, focusing on data visualization is well worth it regardless of your company’s size and the type of products and/or services you offer. Interestingly, human brains process visual representations like charts and graphs more easily than scanning spreadsheets and lengthy reports. In general, data visualization is known to provide many benefits, especially by helping extract required information from bulk data sets and then portraying it visually in order to enable a fast and efficient analysis.
Below are several reasons why you should consider incorporating data visualization techniques within your data-driven marketing processes:
- Helps in the areas of fast decision-making and gaining deep insights
- Makes data sets more accessible and easily comprehensible
- Increases efficiency and accuracy when analyzing complex data sets
- Caters to audiences’ interests with relevant and useful information
- Provides better insights into trending market conditions and opportunities
- Evaluates risk metrics to identify areas that require immediate action
- Establishes correlation between independent variables for decision-making
It’s important to regularly ask yourself questions like “who is my target audience?”, “what messages must I convey?”, and “what are the results I desire?”
After gaining answers to these questions and other similar ones, you can better personalize your content while keeping your buyers’ needs and wants in mind. Also, remember that you’re likely to encounter many users and it’s probable that they’ll perceive a single message differently.
Fortunately, buyer intent data offers insights into what users want and when they want it. Reaching the right audience at the right moment provides a competitive advantage that many B2B companies strive for to this day.
Data is classified into three forms, which includes quantitative, ordinal, and categorical. Quantitative data has unique numerical values associated with it. Whereas, ordinal data refers to statistical data where data sets are evaluated on a particular scale such as 1 to 10. Then, categorical data sets are those that can be divided into distinct groups. It’s vital to categorize data sets before using data visualization tools. For example, if your brand is focusing on quantitative data, then bar graphs and pie charts will work best.
Furthermore, a simple and clutter-free data visualization dashboard helps present complex data sets in a simplified way, so consider implementing one in the near future if you haven’t already.
The ideal dashboard should contain designs that would have a strong impact, while presenting a 360-degree overview of high-value information. It will also help you effectively measure KPIs, analyze complex data, and even touch critical data points. Overall, a strategic and operational visualization dashboard is useful for both technical and non-technical users. To master the art of data visualization and all of the benefits it can offer, browse through our data solutions and intent-based marketing resources today!