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Data visualization is the process of turning data into visual graphs and charts. For example, an Excel spreadsheet or text file might contain a bunch of statistics or numbers. You can make the spreadsheet more user-friendly by turning the data into a graph.
The desire for data visualization is not new. Thanks to the connectors, dashboards, and reports available today, data visualization processes are more accessible and easier to create and analyze than it was even a few years ago.
For a quick definition, here are what each of these three tools helps with business intelligence tools.
Connectors integrate with other services and software tools
Dashboards turn data or raw numbers into something visual
Reports are what you share.
What is included in data visualization?
1. data visualization integrations
That starts with Line of Business, HR Management Applications, and Supply Chain Management Systems. Most data visualization platforms, like Power BI, Domo, and Tableau, have thousands of integrations.
They have enterprise resource planning (ERP) tools like Dynamics or Monday and CRM systems like Salesforce or HubSpot to interact with data. In addition to the ERP systems and CRMs, you can track your website data from tools like Google Analytics, Mouser, and Crazy Egg.
2. Internet of things (IoT) is a growing component of data visualization
One fantastic thing right now is the explosion of data we have. We’ve created 90% of all data ever built on Earth in the last few years alone. That includes all books, ledgers, and all other information we ever made.
A large part of this increase in data is due to devices like IoT devices like wearable watches.
On the commercial or industrial side, you have many applications that record even more data. Many sensors sense what’s going on and report the data using Wi-Fi to a computer or hub. It then takes that information to turn it into data visualization to monitor everything in one central location.
For example, a utility company tracks what’s going on in their pipeline. If there’s a break in the pipeline, you don’t need 100 people to check what’s wrong and find the problem. Instead, you identify a small area with a problem and send five people to fix the problem.
3. you have cloud services
Cloud services like QuickBooks and Twilio could connect those services directly to these data visualization platforms. You could also use document storage systems, like Amazon Web Service, Azure, or SharePoint, to connect all this information and documents into the data visualization platforms.
4. Raw data connectors
You could also connect raw data using tools like Access, SQL, Windows, MySQL, or Excel spreadsheets.
5. On-premise data
Many organizations have a lot of their data on-premise servers in their operation. It is possible to connect on-premise data with online data visualization tools. So whether you’re using Hadoop, SAP, IBM, Teradata, or Oracle, keep that in mind.
Data Visualization Integrations Final Thoughts
As you can see, there are a lot of ways to connect data. Whether you are using software services, cloud services, raw data connectors, or on-premise data, it is possible to visualize your data to improve the quality of your decisions. If you have additional questions about using these integrations to enhance your data visualization, contact us for a free 1-hour consultation session.
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