Advanced analysts and data scientists have one of the most popular careers in the U.S. According to Indeed.com, job postings for data scientists climbed to 75% from January 2015 to January 2018. The number of advanced analysts and data scientists will increase to another 28% by 2020, according to IBM's predictions. IBM is one of the major U.S. companies that are always on the looking for data scientists and advanced analysts.
Businesses are realizing that it takes more than an analyst to receive business insights from data. There are large quantities of data that used to be found in science fiction. This data has since widened the gap between business and information technology. A business dashboard such as Toucan Toco might give you context you need to understand this data, but looking into these insights requires knowledge and a deep understanding of the industry to learn from big data. Creating a compelling narrative that provides actionable insights is important if you want better understanding of your business through big data. This is how powerful companies like IBM develop strong team members.
Successful companies and enterprises use data analytics to tell a story. Data storytellers aren't just effective communicators and writers, they're also talented artists. Companies are now realizing the importance of hybrid data visualization teams, which allows them to combine team members with analytical and creative skills to present a story. The team effectively creates visualizations and transform difficult data in a way that most business owners can understand.
This technique is not a new thing as artists have been used in the past. Charles Minard was one of the first data artists in the industry. He's used a series of data to create a visualization of that data. This information would be used today, but with technology that could add layers of data that could add to the story.
Using the Right Components
Stories need an effective plot or chapters. It's important for data scientists and advanced analysts to understand how these elements work together to create a final result. Some stories just need one character while others need multiple characters. Since analytics an important part of revealing new insights, it's about telling a story that allows the business owner to take action or to receive insight.
The artist that works on this data needs to understand the business in order to turn the data into a story. Data analytics consists of art, cognitive perception, and science. Without all three of these elements, the data just deliver complex information rather than providing new insights.
Building an Effective Team
These three elements should be included in a team of two or three individuals. You need one who's an expert at organizing. The other members should consist of a senior member and a less-seasoned member who's still experienced. This is how the hybrid theory works in the art of data storytelling.
Data science will continue to thrive as the amount of big data that businesses deal with grows. It's important to develop effective teams who can translate this data into executions or stories that you can understand and build on. This doesn't contain charts and graphs, but stories that have characters, conflicts, story lines, and conclusions within this data. Then, in time, your actionable insights will be revealed.
As you can see, design plays a key role in the storytelling process. It's not about creating strong visuals, but it's about explaining why those visuals matter in the data analysis process. It can have a powerful impact on data users and how businesses make decisions.