Self-service Business Intelligence Tools For Sales Analytics – What is Self Service BI? Self-Service BI vs. Traditional BI Why is Self-Service BI Important? Benefits of Self-Service BI How does Self-Service BI work and how are different industries using Self-Service BI? What should I look for in a self-service BI tool? Providing insights for everyone, self-service business intelligence FAQs
Self-service business intelligence (BI) is centered around the idea that employees should be able to access business data and gain insights—without the help of someone in IT or advanced knowledge of SQL. Typically, self-service BI comes in the form of a tool or application that allows end users across an organization to analyze and present data without the help of the IT department.
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That means teams in operations, marketing, product development, sales and finance can use data every day to help make decisions and easily follow data governance processes. People can tailor their questions and dashboards to answer their specific questions and provide insights that help their role.
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There are several differences between traditional BI and self-service BI. These differences affect who can access data, how quickly someone can get data, and how much autonomy teams have when it comes to understanding how their work impacts the organization.
In traditional BI, the gatekeepers of all data are a small group of people – typically IT or business intelligence teams. They manage everything: they import data from various sources, manage and organize data in the data warehouse, run queries, create dashboards and send reports. To participate in traditional BI, team members must be highly skilled. They typically have relevant training and experience in data management and specific software platforms.
Before team members in traditional BI organizations can send data or make significant changes, they often need to obtain and issue approvals, so the process takes some time. Processing a job may require heavy justification. This delay means that by the time data from the BI or IT teams is delivered to the receiver, it is out of date. Data lag means that the company makes decisions based on historical data rather than current trends.
However, self-serve BI is a modern model where users can access and export data on their own. As in traditional BI, data is loaded into the warehouse – but rather than just a small group of people having access to the data, self-service BI allows many users to view, manage, organize and share data. . This means teams can have real-time access and generate their own reports.
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Self-service BI is important to IT teams and many end users. IT teams no longer have a backlog of requests. They can focus on their own mission-critical activities to support and improve networks. Rather than generating reports for other teams on multiple projects, BI teams focus on the big-picture strategy. Many of the data requests made by teams in an organization are not complex, but the mechanisms for retrieving the necessary information require valuable time and energy. The answer to this problem is to simplify the system with self-service BI.
Self-service BI is also important for end users. Self-service BI models democratize data and enable many people across the organization to access and view data. Users can customize the dashboards to suit the needs of their own projects. They can explore the data and find what is useful for their role and team.
While this is great for IT teams and individual users, the company as a whole benefits. As users can access reports and data in real time, the entire organization operates on the latest data. Teams and executives can make better business decisions for the organization when they have the latest insights and the most up-to-date trends.
Self-service BI has many benefits for individual end users and entire organizations. Here are some of the benefits that businesses can get when they move to a self-service BI model:
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Self-service BI works as part of your organization’s big data architecture. A self-service BI platform works by connecting to data warehouses and various sources of data. Once the platform is set up, managers grant access to users, and users can customize their data with dashboards and personalized reports.
This is how self-service BI generally works, but depending on your organization and industry, you may see differences in how the tools are implemented, what functions they are used for, and how they benefit the company. Here are some examples of how different industries use self-service BI tools and how self-service BI works for them:
Healthcare organizations can use self-service BI to better understand public health trends and treat patients more effectively. Self-service BI allows users to detect bottlenecks in services provided by hospitals, such as importing patient records, scheduling appointments, optimizing costs of services and purchasing pharmaceuticals and medical equipment more efficiently. When employees understand data, hospitals become more efficient and patients receive better treatment and faster follow-up. Healthcare organizations can use self-service BI to track conditions that people experience, the results of certain types of treatment, patient satisfaction rates and how to better staff various departments.
Education is another great example of an industry that can benefit from self-service BI. Think of all the data a public school district collects each school year. Administrators and teachers need to compile this data into reports for state and federal funding, grants, size classification and student support. If the district IT team was the only source of these reports, they would be doing nothing else during their work day.
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Recycling companies and other eco-improvement organizations benefit from self-service BI. One of the hardest parts of this industry is trying to change people’s behavior on a large scale to benefit the planet. Employees need to constantly justify the work they do. To do this, organizations in this industry need to see data as a story. Self-service BI allows users to see trends, measure the effectiveness of certain campaigns on people’s recycling habits, quantify the effects of sustainability-related legislation, and track metrics on how much pollution is avoided because of their efforts. With dashboards, users can create visuals to quickly illustrate their impact on the ground.
Banking and finance companies are another strong example of self-service BI tools. In the financial services industry, customers expect organizations to respond very quickly to changing markets. Whether it’s a change in the stock market or a new tax, companies need to be smart about changing their strategies, which requires access to real-time data through self-service BI for many users in the organization. Financial professionals can also use self-service BI to identify high-value customers, emerging markets, promising businesses and prospective investments so that their companies can better serve their customers.
Human resources departments are not usually the first area that comes to mind when people think about data. However, self-service BI accesses data in areas of the business that are typically excluded from data-driven decision making. With self-service BI, HR team members can track data on recruiting campaigns, measure employee performance, gather insights on employee satisfaction and retention, measure how people-related decisions impact the company’s larger financial initiatives, and find trends that make teams Better. Effective.
As with any new solution, there are many things to consider when finding the right self-service BI tool for your organization. Here are some things to keep in mind as you search:
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Look for tools that give you flexible options for presenting data, make it easy to collaborate with different teams, and help all departments measure the metrics they’re looking for.
To make sure you’re getting value for the cost of a self-service BI tool, see if the platform can handle the data types and metrics you need. On the other hand, make sure the product isn’t too technical, or people won’t use it at all and you’ll be paying for features you don’t use or need.
Demo the product first to test the product’s mapping capabilities, geospatial data functionality, drag-and-drop capabilities, and collaboration capabilities. The whole purpose of self-service BI is to make data more accessible, so make sure the tool is easy to use and intuitive to operate.
Your self-service BI tool should fit into your current data architecture. The tool should work with an organization’s existing cloud data warehouse, ETL tools, and BI tools.
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Make sure you don’t sacrifice data governance for ease of use with your self-service BI tool. This should allow administrators to ensure that the right data is in the right hands.
Self-service BI is a win-win for both end users and the IT department. This is offered to widespread data, such as a large scale decision time, more up-to-date data, the best data literacy and a deeper understanding of the business throughout the business. At ON, we believe that the data can be as good for people who can use it. To see how self-service business intelligence can simplify reporting and bring insight into more
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