How to choose the Best Data Visualization Services for your Big Data?

1. How to choose the Best Data Visualization Services for Your Big Data contact@thinklytics.io Thinklytics Thinklytics

2. Tips for Choosing the Best Data Visualization Services for your Big Data –  Balance between functionality and needs Differentiate between presentation and graphics Merging with multiple data sources  Data visualization should follow its function Draw a blueprint of your visualization Animation and dynamic data Look for tools with intuitive dashboards Expertise in using that tool  Beautiful data visuals  More clarity and less visual bloat  Make your data more meaningful Visualized data highlights unique opportunities Thinklytics

3. Differentiate between presentation and graphics Presentation graphs Exploratory graphics They are used for understanding the results and how we come up to this answer.  They are similar to mathematical theorems. The data visualization service used in exploratory graphics should be fast and informative rather than slow and detailed. They only have the conclusion, not the procedure through which the result has been reached They include answers rather than details. ? They offer convincing support for its conclusion.  Thinklytics

4. Data visualization should follow its function The visualization must reveal Insights that are to be communicated The properties of your data The questions you are trying to ask The way of presentation For example, if we want to show the impact of covid on the economy theme, we have to show the relationship between all the affecting factors and their impact. It requires a different visualization for every element. Thinklytics

5. Draw a blueprint of your visualization Before deciding which tools you want to use, prepare an outline or a blueprint of your data. It depends on your skills and the purpose of the visualization.  Take care of the time constraints and other factors. When you have a rough blueprint of your visualization, it will be easier for you to select the most suitable tool. Thinklytics

6. Look for tools with intuitive dashboards The dashboard of your data visualization tool should look great There must be a balance in the colored view for a more attractive appearance.  The dashboard should accurately summarize all the essential data. It needs to be clear, colored with adequate whitespace. Thinklytics

7. More clarity and less visual bloat Whenever we want to represent something graphically, then it must be informative.  Being informative does not mean extraneous information, although it should cover the major details.  All the data represented should be authentic and must have true values.  It must be relevant as per your business.  X It must be clear and unambiguous. Thinklytics

8. Make your data more meaningful The data depicted graphically must have some meaning or utility; otherwise, it is of no use.  To increase the effectiveness of your presentation, you must keep this in mind throughout the data analysis process. The data visualized through the selected tool must inspire the action of your audiences.  The purpose of the information should determine the format of the data visualization practice. Thinklytics

9. Balance between functionality and needs Choosing the right data visualization toolmeans balancing the needs of the data analysts and technical requirements.  You have to determine whether you need to add components to your current technical architecture or not.  Sometimes, it might be possible that the choice of data visualization services and your needs do not favor each other.  In that case, a balance must be there between your need and data visualization services. Thinklytics

10. Merging with multiple data sources Your metric values have different components.  The next thing you must take care of should be the multiple data sources from where you have to derive data. It would help if you used such a tool for data visualization compatible with various data sources like databases, spreadsheets, etc.  Your tool must be able to visualize how the different pieces contribute to the overall performance. Thinklytics

11. Animation and dynamic data Animation effects is the next essential thing users should look for when selecting data visualization applications Also, the tool must include the characteristics like dynamic data, visual querying, personalization, and actionable alerts. It will ensure ease of use and optimal functionality. Animation is the trait of advanced tools.  Thinklytics

12. Expertise in using that tool Though most of the data visualization platforms have similar features, there will be differences that you will face.  It can be anything from design style to developer limits. So, it is very much needed to know before using the tool which one is easily accessible. We can consider the ease of Integration, operational cost, technical expertise, deployment duration, and supported data Thinklytics

13. Beautiful data visuals Google has a vested interest in making the analysis beautiful. In this way, it attracts people to invest in it.  Usually, pretty things grab attention, and attention makes people pay. Data visualization helps surface valuable marketing analytics that might be very important to your business. Data visualization also needs to do this for you. Thinklytics

14. Visualized data highlights unique opportunities Several organizations are using predictive analytics to uncover the strength of sales. It also helps customers to provide additional support.  Visualized data can provide better experiences to the customers as well. It opens up several unique opportunities to generate more revenue. Thinklytics

15. Conclusion • Overall we can say that both data and data visualization is important for a business.  • Implementing the visual presentation of data is nearly as important to the effectiveness of the data being represented. • Your visual must incorporate data as a piece of evidence to support your claim. • No need to represent that data that does not convert your key message.  • Irrelevant data only distracts your customers and leads to wrong decisions • So, no need to show everything, as the audience doesn’t have the time to devote. • It is the job of the assessment team to analyze, interpret and display the data that is pertinent to the findings.  • So, anyone that can perform all these activities can be the best data visualization services for representing your data. Thinklytics