Today,sighting data is an emerging technology trend as the focus of analytics sector is been shifting from enterprise to innovative philosophy.
Organizations across industries understand the importance of providing the opportunity to their employees to conduct day to day data analysis regardless of technical background. Companies don’t need the number of people instead they need more access to the information across various levels. The better the employees equipped with the data the efficient the decisions will be.
As a result, tools that efficiently and instinctively analyze all types of data are in demand. Organizations and individual users are inclining toward visual analytics tools as one of the effective ways for the user to control data and maximize its insights.
What is Visual Analytics?
Visual analytics pairs graphical illustrations with specialized interaction to divulge underlying patterns in data. The good news is visual analytics isn’t something that’s only available to IT professionals. Today’s visual analytics tools are designed keeping everyday user in mind, providing information earmarked for analysts and data scientists.
Imagine your project manager asks you to give a break up on how this quarter’s marketing campaigns are performing. Or why the north regional sales team is lagging behind the others. Or what percentage of Facebook fans interact with your organization’s Facebook posts, and which type of posts receives the largest response rate. With the help of a visual analytics tool, you can excavate and analyze these questions in real time. For example, using your company’s Facebook metrics, a visual analytics tool will enable you to create a visualization that intrigues each post’s level of engagement as it progresses. With a simple click of mouse the tool allows you to drill down on specific types of posts so that you can compare success rates. Within no time you will be able report back to your manager with the statistics on Facebook interactions and most popular posts, and you will be able to support proclamation with numbers and graphic representation.
Why excel sheets and PowerPoint decks fall short
All organizations are driven by decisions – and the best decisions are driven by data. But data analysis can be confusing or overwhelming for many people; particularly those without a background in statistics.
That’s why it is essential to understand the three main challenges visual analytics users face. Visual analytics has the ability to take data analysis to the next level, but it isn’t a magic bullet. What you know is very limited value if you are unable to use clean data, leverage the most powerful visuals and continually share and refresh your findings.
- Understanding the data and its structure.
- Presenting the data effectively.
- Sharing the data
We’ve all pulled our hair out while trying to pull PivotTables out of Excel for weekly status updates, or attempted to come to a group consensus via a lengthy, multi-pronged email chain that leaves participants more confused than they were at the outset. Visual analytics tools make it easier than ever before for non-technical business users to navigate and overcome these challenges. But it’s not enough to have the technology—you need to use these tools effectively. Here are some visual analytics best practices.
- Identify your goal for analysis
- Get more mileage with dashboards
- Use design effectively
- Remember that more isn’t always better
- Set appropriate limits
- Don’t limit your data coming in or going out
Building effective data visualization requires much more than just technology. Very few business analysts have a background in data visualization best practices to answer questions like: Is a data set best visualized using a scatterplot or a bar graph? How many different colors should a single graph use? Can we put two graphs with different scales next to each other on a single dashboard? Tableau can answer these and many other questions about best practices based on the psychology of human visual perception. Its graphical user interface and library of white papers clearly show that this is Tableau’s specialty.