Self Service Business Intelligence – 10 Key Benefits to Know!
As business data volume is continually increasing, organizations must concentrate their efforts on maintaining the data and interpreting it. Business Intelligence (BI) is designed to help business leaders extract insights from past performance, predict coming events, and evade barriers even before they take place.
BI used to be implemented only by big enterprises due to complexity, expenses and the experiences needed. Those complexities are long gone, Small and Medium Business (SMB) are the new notable BI buyers. To stay ahead of the competition, companies must make intelligent decisions based on reliable and consistent data. This is where BI comes to the fore!
What is Self-Service Business Intelligence?
Self-service business intelligence (SSBI) enables businesses to translate business data and present the data in the form of a report or chart without involving IT or BI teams. Self-service BI can help optimize your organization’s decision-making capacity by giving users a single source of truth within a business intelligence ecosystem.
SSBI allows teams like product developers, finance, marketing, sales, and operations to answer data queries, with governance backed by IT and BI analysts.
SSBI refers to the methods, tools, and software employed by organizations to enable business users to visualize and analyze data without advanced IT training.
Traditional BI vs. Self-Service BI – The Difference!
Traditional or Enterprise BI is less efficient in making better business decisions. It cannot handle large volumes of data and is almost unlikely to identify patterns in unstructured data tables. However, self-service BI does not have any such issues.
Self-service BI is more about providing the business user the full power of the data to make better decisions. There is no requirement to reach the IT team and waiting for a long turnaround time for reports when one requires complete data.
Self-Service BI gives business users with data and the tool needed to get the precise outcome they want. The business user can have accurate, up-to-date data at any time. The user can request data and dashboards from any device connected to the Internet.
Traditional BI is based on aggregates, filters, disk space access, and has old architecture. It points to a very complicated and complex set of technologies required to maintain that old architecture.
Traditional BI needs more people involved, and the whole process demands time to be implemented.
All the data business users can reach by using self-service BI is clear. The tool itself is spontaneous and interactive, enables users to extend data sources without IT-created data source constraints.
10 Benefits of Self-service Business Intelligence
1. Frees IT
Self-service business intelligence fills in the lack of trained analysts and gets data into the business users’ hands. Business users can then complete less intense tasks on their own. Therefore, it frees up IT, who can concentrate on more vital and core work than reporting.
2. Reduced Dependence
Self-service reporting enables business users to make data-driven decisions without relying on IT teams or data scientists. Self-service reporting tools help companies to put data at the core of their operations and decision-making.
3. Accessibility
Leads to democratization of the data by enabling the business users to use a decentralized database and application.
4. Involves Everyone
Self-service business intelligence empowers business users by involving them in the analysis process. With the vast amount of data produced every minute, it does not make much sense to limit the domain of analytics to a restricted set of people.
5. Enhances Productivity
With the distribution of tasks at hand and diversification of sources, it can help improve productivity. Business users and data experts can work together for better decisions.
6. Ease of Use
Self-service BI users do not have the technical abilities needed to work with a complicated system. Therefore, a self-service BI solution must be remarkably intuitive and user-friendly. It should allow customizable security controls for each user, restricting the user’s access to only the data related to their position.
7. Reliability
Given that most self-service business intelligence platforms do not have a thorough technical background, it is vital that they feel comfortable using the platform. When employees recognize they cannot randomly delete or lose data, they will quickly embrace it. As they keep working with it, their trust in their capability to make crucial decisions will improve.
8. Unifies Multiple Data Sources
Extensive business intelligence often demands merging multiple data sources and delivering cross-database queries. A user-friendly Self-service BI setup will allow you to aggregate and interpret every type of data available in one central place.
9. Instant Insights
Gone are the days of requesting a critical KPI and having to wait for the IT team to pull reports. Self-service BI puts the user in command of the data. Data can be obtained on the fly for real-time analysis and instantly actionable insights.
10. Mobile-Enabled
BI means having the correct data at the proper time to make the best calls. It means accessing data wherever you are, which requires the use of a mobile device. Self-service BI is mobile-enabled, allowing businesses to react to queries in real-time and instantly make the right decisions.
Some of the best Self-service BI tools have the following features:
- Easy Drag-and-Drop Interface
- Predefined Dashboard Templates
- Easy to use Data Connectors
- Various Reporting Options
- AI-Enabled
Enters… SplashBI!
Executing a self-service BI solution is not as terrifying as it may appear if you approach an able provider. SplashBI, for example, has years of expertise in assisting companies in achieving success.
Our out-of-the-box solution is devised with a visually excellent and user-friendly dashboard so you can start making data-driven decisions almost instantly. One of our AI-powered solutions’ key capabilities is generating reports and dashboards without the dependency on the highly skilled crew like data experts or IT personnel.
