We frequently emphasize the necessity of choosing the most appropriate data analytics solution to create a data-driven corporate culture in our previous articles.*
While investing in data analytics solutions, this is normal that we try to choose the systems that we can get the maximum efficiency in the most appropriate way. One of the most important steps of this transformation is the renewal of business intelligence systems that provide decision support to our organization. However, during the decision-making process for this renewal, there may be some counter-views. For example, an argument that the existing BI system is sufficient enough, modern BI systems are unnecessary and are not worth investing in. In this article, we refute the common anti-arguments against modern BI systems to help you to chose the most sufficient system.
We know that data is in all areas of our lives and has a growing volume, so analytical systems need to update themselves accordingly. Self-service business intelligence systems come into play at this point. This system helps organizations to get more value from their data, and allows more people to visually discover and share data. However, some organizations are reluctant to invest in modern business intelligence systems for various reasons, despite all their promises. Let’s discuss the anti-arguments in detail;
Traditional business intelligence can also fully meet data visualization and exploration needs.
A correctly designed modern business intelligence technology is critical for organizational and digital transformation. Traditional systems can only show the results to the end-user. However, evaluating these results alone is not enough to capture insight. On the other hand, the visual analysis capability offered by modern business intelligence includes interfaces that facilitate data discovery, not just the display of results. At this point, rather than the final result offered by traditional methods, the insights gained by users while exploring their data visually add value to institutions. Self-service business intelligence systems provide performance above traditional methods with their data discovery capability. Moreover, users do not need technical expertise for data analysis, visualization, and insight discovery with easy interfaces.
ThothBI offers various options for users to discover their data and capture insights;
Data discovery with a user-friendly interface that is not required technical background,
Geographic analysis with map-based analysis,
Instant data tracking with real-time data flow support,
Discovering insights much faster with interactive infographics,
Many different visualization options by the type and variety of the data,
Quick access to information with the smart search feature.
Switching to modern business intelligence is an unnecessary expense.
If this transformation is planned properly at the beginning considering the corporate needs, the process can be completed with the most affordable costs. Moreover, this cost should also be evaluated as a long-term investment by considering the influence of modern analytics on your organization’s data culture and corporate value. In addition to the financial savings, the time savings opportunity of modern BI to the institutions also increases the productivity of the company in the long term.
It is not enough to carry out the transformation in terms of technological infrastructure. The process should be supported with a correct strategy. This strategy should also be built on effective cooperation; modern business intelligence systems are already designed to support this collaboration. When the strategy is supported with the right training program, the transformation process accelerates. Although the process differs from institution to institution, it generally works as follows; Initially, the IT department provides coordination in data access, metadata, and content management. Over time, the IT department is shifting responsibilities to appropriately trained users to make them assist the modern analytics deployment scale.
Modern business intelligence systems are out of control and cause chaos.
IT teams are responsible for the security of data. With the concept of data democratization, the case that each user has access to the data can frighten the institutions about security. However, modern business intelligence does not mean that everyone can reach data, on the contrary, each employee is responsible for the security of the data they own.
The transition to modern business intelligence is time-consuming and complex.
If you have such a concern, your institution may be problematic in keeping up with change, and this situation causes more serious problems in the long run. This transformation can be carried out in a very short time with the right solution partner. With a solution partner who can understand the needs of your organization and build the solution by your goals, you can plan this transformation in a way that will not disrupt your work with a suitable timeline. Of course, this process varies depending on the traditional system of the organization, the complexity of the business processes, and the distribution, and scaling of the data, but it is generally completed following these steps;
The first stage begins with planning the needs, determining the scope of transition, reporting needs, and the financial model. During this period, the distribution of tasks and responsibilities and the basic aspects of the organizations’ data are also determined.
The second stage includes the training process of the users. It does not mean a technical and heavy training process. In a short time like a week, users will be able to use the system actively.
In the last stage, comparisons and verifications are made by using both traditional and modern systems. After this process is completed successfully, you can completely remove your traditional system from use.
As Datateam, we become your solution partner in your data-driven transformation by planning the most effective transition process in keeping with the needs of your organization. You can contact us for detailed information.