By Sandra Durcevic in Data Analysis, Aug 28th 2019. This one comes from Ben Wellington, of I Quant New York, writing for The New Yorker... 40 Years of America’s Eating Habits. Rather than showing year by year by year comparisons for … It also demonstrates more easily the correlation that people who care about walking distance probably care about proximity to public transportation. Credible: Get credible resources to back up your claim. 8 fantastic examples of data storytelling New York’s Noisiest Neighborhoods. Storytelling with data visualization is a valuable skill to understand and develop. Help your listeners or readers picture the situation that you’re trying to solve. You can tell stories with the written word, … These fantastic data storytelling examples below aren’t necessarily flashy, but their genius is in their ability to communicate rich ideas as stories in the simplest terms. According to a study performed by Skyword, content that features a mix of words and visuals drives 34% more engagement than text-only articles, blog posts, or whitepapers. By using data storytelling templates, tools, and platforms, you can populate your plot with the visualizations that will drive the narrative forward while conveying your message in the most effective way possible. Use data, or external validation, to give your story credibility. It’s clear that storytelling with data is powerful. It’s possible to use this dynamic mix of charts, graphs, and graphical information by utilizing HR analytics tools, and build an effective narrative relating to employee performance over a particular time frame, creating a compelling plot that will lead to increased productivity and enhanced economic efficiency as well as and support strategies that will boost staff engagement exponentially. You don’t have to be a math genius to understand that that doesn’t mean the economy is in shambles because we don’t have more working farmers—it just means that as the rise of machines in jobs happened and working population grew, people flocked mostly to white collar jobs. Contact a data expert today to learn more about how Import.io can help your organization leverage data storytelling. Coupled with the data visualizations featured in related HR-based dashboards, the possibilities are seemingly endless; from creating effective HR reports to obtaining a birds-eye view of the whole human resources processes and development. These two charts from npr.org do an incredible job of showing what the rise of machines has really done to American jobs. To demonstrate the power of storytelling with data visualization, here are two strikingly different but equally powerful visuals used for building an effective narrative with your insights. As we’ve explored, knowing how to tell a story with data will empower you to turn metrics into actionable concepts or insights. The story and outcome are dramatic, but at its heart, this is a data story. Connected with a tailored mix of our additional top 10 procurement KPIs, it’s possible to develop a story that helps to convey key trends, connect organizational dots, and share actionable insights that drive real change. By gaining centralized access to business data and presenting it in a visual way that follows a logical path and provides invaluable insights on a particular area or subject, you stand to set yourself apart from your competitors and become a leader in your field. Relatively speaking, those same people all care the same amount about quality of school, commute, and care little about change in family size. Data storytelling is the process of creating a story out of data analysis findings, allowing regular business people (laymen) to understand the possibly complex insights and apply them to a business decision or action. By harnessing the power of storytelling through data, you’ll be able to connect the dots, simplifying ideas and making the kind of connections that will give your business a newfound sense of strategic direction. In 1850, 51% of American workers were farmers, in 2013, only 1% were (no, a different 1%). Data insights are potentially worthless if you can’t communicate them to the right people in the right way. Rather than showing the shifts in unemployment, they’re showing the shift in the job landscape, creating a more realistic picture in answering a question like “what happened because of x?”. Check out what BI trends will be on everyone’s lips and keyboards in 2021. By working through your plot logically and fleshing it out with the right visualizations from your dashboard, you’ll help streamline processes within your organization, increasing efficiency and productivity as a result. Be inspired to tell your data story well! A valued fulfillment-based KPI across industries, this dynamic mix of graphs offers a panoramic snapshot of supplier compliance rates over a particular time frame. It ends with a question In a recent article from the Washington Post, The Fix’s Phillip Bump set out to correct a recent graduation speaker who said that the current set of graduates had spent more than half their life in war time. Data visualization can be intimidating and something that many organizations struggle to accomplish. Below are three creative examples of publishers who are leveraging data to create highly visual, engaging stories. You have everything to gain by harnessing the power of data visualization, visual analytics and using a mix of relevant insights to create a compelling narrative. Every solid story, regardless of its theme or format, has a definitive plot: a beginning, a middle, and an end. Stories inspire, engage, and have the unique ability to transform statistical information into a compelling narrative that can significantly enhance business success. What is Data Visualization and Why Is It Important. While these correlations may not be the same for every major city, it presents a comprehensive way to visualize a broad amount of surveyed information. In reality, it’s more accurate to say about 65% of those (college) graduates’ lives. The harder the situation, the more essential it is.” - Tim O’Brien, author. To improve your processes with plotting, you should sit down in a collaborative environment and consider the primary aim of your data-driven story while outlining the beginning, middle, and end. Storytelling through data is the process of transforming data-driven analyses into a widely-accessible visual format to influence a business decision, strategy, or action by utilizing analytical information that, ultimately, turn into actionable insights. Concrete: Use concrete examples. In this article from Danielle Kurtzleben of Vox, she uses data points from the USDA to quantify the statement, “You don’t eat the way your parents did.”.