Introduction to Data Visualization | Planet Analytics


What is Data visualization:

Any effort to help people understand the significance of data by placing it in a visual context is called data visualization. Trends, patterns, and correlations that might go unidentified in text-based data can be exposed and recognized easier with data visualization software.

Applications of Data Visualization

Data visualization can be used at various levels of an organization. Below are some of the great applications:

1. Internal Communication

All enterprises need effective communications to keep the wheels turning and get the results they want. Visual content is an important part of the mix. Infographics open doors to visual learning, push up engagement and help create a vibrant culture of idea sharing. This is especially true for information delivered to higher-ups, such as your boss or project stakeholders. Think presentations, reports, or financial statements.

E.g., Visualised Salesforce Data on digital signage

Salesforce's customer success platform consolidates and collects more and more relevant and strategic data from around the business.

2. Client reporting

With the rush of data and big investments, enterprises want to leverage the value hidden in their data to make better business decisions. It creates a disciplined culture of data and analytics. With data visualization, results reporting to clients or customers is more impactful. Look for ways data can enhance results reporting, campaign performance, project debriefs, etc.

E.g., Interactive Polling data

The annual Lowy Institute Poll of Australia has designed an interactive tool to visualize ten years of data on key polling results. Results can be filtered, viewed, selected and compared graphically, and exported to PDF.

3. Marketing Content

Data visualization- graphs, charts, and more has been a long mainstay in static infographics, but emerging programming technologies has really opened up complex and interactive data visualization to a whole new audience. Public-facing content for thought leadership or promotion is more credible with data. Content such as blogs, white papers, infographics, e-books and microcontent for social can benefit.

E.g., The New Yorker

The interactive visualization of New York bike-sharing program tells a fascinating story about how New Yorkers find new ways to navigate through the city as the month progresses.