Self-service business analytics software applications are business intelligence tools that allow business professionals to generate queries and reports by themselves with nominal involvement from IT. These business intelligence tools are designed to be user-friendly and they come with simplified analytics capabilities to facilitate easy understanding and access to data. Users can filter, sort, and analyze data with little to no support from professional analytics experts or IT teams.
Companies implement self-service business analytics to help their employees get relevant insights from their business data. The goal is to gather information and then make well-informed decisions and drive the growth of the organization. Customer satisfaction can be boosted and business returns maximized.
Traditional Business Intelligence vs Self-Service Analytics
With traditional business intelligence tools, IT teams or BI experts carry out data analysis for business users and control an organization’s access to its analytics data. This way, business users often have to ask BI analysts to run analytics queries for them. They will also need to ask for reports by compiling a list of their business requirements and submitting them to the BI teams.
It can take several weeks for a project to get the necessary approval. BI teams may work with IT support to prepare the required data or extract it from source systems. They may also transform and cleanse the data and feed it to a data warehouse. Finally, BI teams create queries to obtain relevant analytics results.
On the other hand, self-service business analytics tools enable business analysts and business users to run their queries by themselves and visualize their data on dashboards. Since some users may be less tech-savvy, it’s crucial that self-service business analytics interfaces are intuitive and user-friendly. When the user interface is simplified, casual business teams can easily navigate through the software’s menus and view data. You can visit Troparé for more info about self-service business analytics and reporting tools.
When IT departments and BI teams set up data warehouses for self-service BI systems, business users can query the data and customize their dashboards. The reports can also be shared with other users. Special training may also be given to self-service users to help them understand data analytics and how to empower their data-driven businesses.
Benefits of self-service business analytics
· Effective utilization of BI and IT resources
Because business users can perform data analysis independent of third parties, self-service business software free up IT and BI teams from handling the majority of queries. They can focus on other crucial tasks that demand a great deal of technical skill. Overall, this shift allows BI and IT teams to operate more efficiently.
· Faster data analysis
So far, the main advantage of self-service BI systems has to do with the fact that they reduce bottlenecks in business intelligence programs. Because analytics work is shifted to business users instead of a limited number of specialists, users can have quicker access to data and analyze it effectively
· Competitive advantage
Organizations that embrace self-service business analytics software can accelerate their decision-making processes and gain a competitive edge in their industry. Self-service BI tools make a business more agile compared to its competitors.
