- Data visualization helps in simplifying complex quantitative information into easily accessible representations such as graphs and charts.
- Using Data Visualization, data from any data source, corporate data warehouse, Microsoft Excel, or web-based data can be transformed into more user-friendly, interactive visualizations in a matter of seconds.
- Data visualization is the final leg of the data journey where we aggregate data via scraping or ETL, annotate, build a cognitive intelligence layer, and enable tangible evidence via data visualization.
- The data visualization can be accomplished using open source frameworks or commercial platforms and we help you in picking the right tools based on use case fitment.
Why Data Visualization?
Analyze: Easily analyses and helps to determine the type of data you have, and the information needs to be outlined using accurate and precise visualized representation.
Communicate: Visual data insights give a clear-cut understanding of complex datasets, identify relations and correlating trends by precisely pinpointing the most relevant information.
Explore: The visual data help in providing a way of exploring the hidden relationships, patterns, and facts quickly and efficiently.
The global data visualization market size stood at USD 8.85 billion in 2019 and is projected to reach USD 19.20 billion by 2027, exhibiting a CAGR of 10.2% during the forecast period.
Top 5 Tools for Data Visualization:
- Data drive digital initiatives and enterprise data has a typical journey all the way from sourcing to intelligent visualization.
- A Data journey comprises four stages: Data Scraping, Data Labeling, Leveraging Machine Learning & Artificial Intelligence, and Data Visualization.
- Saivi is a comprehensive offering that covers end-to-end data-related services – all the way from sourcing to visualization!
- Saivi offers custom solutions in each of these phases that will accelerate your digital journey and realize the power of new oil (Data).
- It is Business Intelligence Software that helps people see and understand their data.
- Anyone can Analyse data with Intuitive Drag & Drop products. No Programming, Just Insight!
- Connect to almost any database, drag, and drop to create visualizations, and share with a click.
- It provides limitless data exploration without interrupting your flow of analysis.
- Sisense is a business intelligence tool for creating data visualizations that help gain business insights.
- It is for creating dashboards. But the tool’s capabilities go beyond that. This data visualization tool is specially created to visualize large amounts of data.
- The dashboards can be created in any way the user wants according to the data they need to analyze.
- Developers can create analytics apps using the API with any sort of data set. This is great for larger corporations in industries like health and manufacturing.
- DataBox is exclusively for creating dashboards and analytics apps for mobile and desktop.
- This tool offers plenty of templates to choose from. This is a great tool for business data analysts who want to track their team’s efforts.
- The colors are richer and deeper, which is perfect for people who like dark mode on their laptops.
- This tool offers training in Predictable Performance for business analysts.
- Plotly helps leading organizations close the gap between Data Science and the rest of the organization.
- This tool is used to build analytic web apps. This app enables users to export HTML files and images in the report.
- They make it easy to create, deploy, and share interactive web apps, graphs, and visualizations in any programming language.