Analyzing success with visualization tools
Data visualization tools are used to create custom reports which analyze the health of specific areas within a digital workplace. These custom reports help Digital Workplace Managers understand the significance of data by placing it in a visual context. These tools track the patterns, trends, and correlations and help display this information through visualizations such as graphs and charts.
There are many different data visualization options on the market today. Some of the most popular tools include:
Leveraging data feeds
All data visualization tools need to consume data from your digital workplace solution in order to generate charts, reports, and visualizations. The Igloo platform supports an open data platform called OData (Open Data Protocol) which is an ISO/IEC approved, OASIS standard. This standard defines a set of best practices for building and consuming RESTful APIs.
OData Feeds provide the utmost flexibility in custom reporting, and they’re compatible with all major Business Intelligence (BI) tools that support OData v4, including Microsoft Power BI and Excel (Windows versions only).
Typical use cases
- Put all data on the table: With permissions to Igloo Data Feeds, you can extract any piece of data that is tracked and stored within the Igloo data warehouse. That means you can create reports tailored to your specific needs using your favorite tools.
- Compare behaviors and performance: Use your favorite BI tools to draw in data points from multiple apps and systems to compare behaviors and performance across your entire digital environment.
- Leverage pre-built report tables: To support you in building meaningful reports and visualizations, you’ll have access to a variety of report tables that aggregate data and make it easier to consume.
Sample: Power BI Report
Data visualization can be an effective marketing tool, provided that users can interpret the information accurately. Users planning to subscribe to a service should consider looking for the following features:
- One useful feature in many visualization software types is the ability to choose different visuals and graphs. Depending on what you feel is best, you can choose between pie charts, bar charts, and line graphs to express the data better.
- Data visualization tools should have an accurate trend tracking capability. With this, you can keep tabs on the latest trends in your field. For example, you can see which products are selling each month, and which demographic is buying.
- Depending on what type of information you need, you might also require a high level of security. The data regarding each audience and trend can help you make better market decisions but this means there may be people interested in breaking into your account and stealing your data. Without proper security, you could risk losing or exposing information that could be crucial to your enterprise.
- Simplified software interfacing is also important to any user for these systems. When trying to decode and interpret lots of data, it can become confusing. That’s why your data visualization software should be user-friendly and include easy-to-understand tips or lessons to help you work on the system right away.
In order to get the full benefit from any data visualization tool, it is recommended that you have an experienced data scientist and/or developer on staff to work with your digital workplace team.