Business intelligence has transformed over the course of the last decade. Companies are no longer relying on old tools that were used by data scientists alone. A lot of small scale enterprises don’t have a large IT support department to rely upon either. It's the digital world with the need to process a lot of data in a fast manner, and self-service analytics tools are the way to progress towards that goal.
Bring Power to Business Users
Data discovery, processing, and generation of intelligent reports are all entirely possible with the power of self-service analytics tools. They can empower the organizations to do so much more with their data and gather valuable business insights. Traditional methods of data processing can be quite slow, rigid and time-consuming. Furthermore, they can place a burden of extensive training on the users. Instead, self-service tools can empower you to do more in less time.
Self-Service Data Analytics Tools Provide Flexibility
In order to make more strategic decisions, companies are relying on flexible and simple-to-use self-service tools. Additionally, the lower cost of self-service tools has empowered small scale businesses to utilize their data in a much more efficient manner. Organizations can utilize subscription-based models for real-time access to data and to support their objectives. Any enterprise that is looking for highly scalable, centralized reporting can benefit from self-service analytics.
Self-Service Data Analytics Tools are User-friendly
Self-service data analytics tools are designed to be more intuitive and user-friendly, as well as interactive. Their web-based interfaces are user-friendly and allow for faster processing of data. All of these features make them so much easier to use, compared to the traditional toolset. They can help you connect to your different data sources quickly and seamlessly and thereby create customized reports and dashboards.
Governance and Data Management is a Must
Since self-service data analytics tools are so much easier to use, companies do need to have some governance around data mining so that data is not getting exploited. You don’t want to draw wrong conclusions or duplicate data analysis effort. With improved data access and governance, as well as checks and balances, companies can easily regulate the data processing within their organization.
Business intelligence toolset has evolved and continues to do so. With the right tools, processes and governance, you can empower users within your organization to do better data analysis and make more data-driven decisions. These informed decisions fuel your bottom-line and productivity as well.