Do you know how much data is produced in a day? Before we divulge the staggering figure, we would like to give a statutory warning in advance that if you have numerophobia, this is not for you. Now, let’s get started. Around 2.5 quintillion bytes of data is generated every single day (in layman’s language, it’s 2.5 followed by 18 zeros). It is predicted that 149 zettabytes of data will be produced by 2024, says a survey report published by Statista. In other words, 3X more data will be produced in the next five years than it was produced in the last 5 years.
This clearly indicates that there is a data explosion out there and it will continue at an unmatched pace. However, 80% of the global data will be unstructured by 2025 and we know that dealing with unstructured big data is a tough row to hoe. Your business data would become a big trash dump, if you don’t know how to analyze and draw actionable insights out of it. The good news is that there are already a slew of BI and data visualization tools in the market to unveil meaningful business metrics. Among all the business intelligence out tools there, tableau data analytics steals the thunder. In fact, the world’s leading research firm, Gartner has conferred Tableau as a leader for the ninth consecutive year. Let’s dive deep into the reasons that make Tableau a leader and why businesses should invest in this data analytics tool.
1. Data analysis at the speed of thought
If you manually pull data from disparate sources for analysis, you may end up investing a few hours, days, or even weeks. The manual process is not only laborious and time-intensive but also prone to cringe-worthy faux pas. With Tableau’s simple drag-and-drop features and built-in data connections, you can easily get data in beautiful visualizations for analysis. Moreover, the time saved in collating data could be utilized by data analysts for analyzing data and drawing out meaningful insights.
2. Connect with any data source
Another beauty of Tableau is that you connect it to a wide gamut of data sources ranging from Microsoft Excel, PDF to Google Sheets, Google Analytics, Dropbox, Salesforce, SAP HANA, and databases like MongoDB, MySQL, Elasticsearch, etc. By simply connecting Tableau to any data source, you can export all your unstructured data (without Ctrl C + Ctrl V) for analysis. Once your data is brought into Tableau, you can create a centralized view and save yourself from the hassle of going through multiple disparate reports.
3. Integrate with programming languages
With the help of Tableau, you can perform basic calculations by simply using the drag and drop functionality. However, if you want to go a step ahead and do some complex analysis, Tableau business intelligence tool allows you seamless integration with Python or R scripting language, thereby, helping you in analyzing data with visual analytics.
4. Mobile-Ready Dashboard
Analyzing data on the go has never been easier until the arrival of Tableau. This mobile-friendly BI tool allows you to view spreadsheets and data reports across all devices such as smartphones, tablets, or laptops. The best part is that you don’t have to do anything to make your dashboards mobile-friendly. It automatically understands on what device you are accessing the data reports and makes adjustments accordingly.
Conclusion (Tableau is not just another BI tool)
Visual analytics with Tableau helps businesses understand their data and make informed decisions. However, this robust data analysis tool does not work on its own. If you want to make the most of this tool, we recommend you opt for Tableau consulting services from our seasoned professionals.