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BI Audit
BI Audit improves the performance of business intelligence system - by identifying bottlenecks in ETL processes, solution architecture, required IT infrastructure, interfaces, visualizations, and reports.
BI Audit will be useful for companies
Use BI solutions implemented on the Qlik or Fine BI platforms and strive to improve the efficiency of them
Already using BI platforms
1.
Have not used BI systems before, only forming requirements for implementation and need to analyze the readiness of the infrastructure and data sources
Just planning to implement an analytical solution
2.
When does a BI solution need an audit
Works slowly
Reports are generated with delays, the application is unstable, data is loaded slowly. You're missing the necessary steps in the data extraction and transformation process, or these steps are not automated enough
Difficult to make adjustments
It is difficult to scale the solution, connect new data sources, create new reports and dashboards, add features or analyze new slices of information
Not user-friendly
Working with a BI system requires the constant participation of the IT service, employees do not have enough technical knowledge to use the solution, self-service capabilities are absent or minimal
Increased cost of ownership
The cost of ownership of the analytical solution is constantly rising, the application places high demands on system resources
A BI application audit done by a team of experts helps find ETL-process errors and opens new possibilities for using the data. Audit lowers the total cost of ownership of the solution and shortens the time it takes to prepare analytical information.
What problems does BI audit solve
1
Reducing data errors
Audit helps to anticipate and avoid errors that can slow down data-driven management decisions and increase lost profits
2
Choosing the right solution for your needs
In the case of the initial BI platform implementation, audit will allow you to choose the best solution for specific business tasks, taking into account the existing IT landscape
4 key areas for BI audit
Qlever's audit methodology includes an analysis of 4 key areas of the Qlik based solutions functional:
- at the business process level- visualization (dashboards) and data integration and optimization (ETL processes) are checked
- at the IT level - the solution architecture and IT infrastructure are analyzed
Let's take a closer look at the impact of 4 key areas of analysis on the CSI and Performance indices
If there are failures and errors at the visualization level (Dashboards): formulas are incorrect, indicators are calculated slowly, UX/UI design is not worked out, then business users begin to use such applications less and less - the CSI index decreases.
Also, the index of satisfaction with a BI application is affected by the logic of its construction, which is analyzed in more detail in the Solution Architecture block. IT infrastructure and ETL processes affect the CSI index even less, users may not know what is "under the hood", what kind of servers are installed and why there are so many of them. As part of the audit, we carry out detailed diagnostics for each block indicated in the scheme.
Also, the index of satisfaction with a BI application is affected by the logic of its construction, which is analyzed in more detail in the Solution Architecture block. IT infrastructure and ETL processes affect the CSI index even less, users may not know what is "under the hood", what kind of servers are installed and why there are so many of them. As part of the audit, we carry out detailed diagnostics for each block indicated in the scheme.
Tools and tech stack
As practice shows, our experts can increase the speed of data processing by at least 2 times already at the audit stage
For a retail chain that had not previously used BI solutions, we proposed several options for building an architecture with a detailed description of the usage environments based on the customer's requirements.
It was necessary to ensure the uninterrupted operation of the system in 24/7 mode with a 99.9% availability level. As this was the first time the BI solution had been deployed, we also evaluated approaches to uploading data and creating integration mechanisms with the ability to scale in the future.
It was necessary to ensure the uninterrupted operation of the system in 24/7 mode with a 99.9% availability level. As this was the first time the BI solution had been deployed, we also evaluated approaches to uploading data and creating integration mechanisms with the ability to scale in the future.
For a restaurant chain, a critical time for uploading data to the analytics system was identified, which, as the volume of data increased, created a risk of disruption to the work of employees and also of incorrect data being downloaded from the POS systems.
Based on the results, optimization options were proposed that reduced the time taken to update data in the reporting system by a factor of 6.
Based on the results, optimization options were proposed that reduced the time taken to update data in the reporting system by a factor of 6.
For a company operating in the food industry, we identified data redundancy (a lot of redundant information) in both the data model and the Qlik NPrinting mailing system, which was significantly slowing down the application. As a result of the audit, the time taken to prepare reports for distribution was reduced by 80%.
We drew the client's attention to the poor ergonomics of the user interface and the chaotic nature of the data organization structure, which could lead to difficulties with any modifications and changes to the application. The audit identified network problems in the architecture of the solution, the elimination of which saved 20% of the expansion budget for system sizing.
We drew the client's attention to the poor ergonomics of the user interface and the chaotic nature of the data organization structure, which could lead to difficulties with any modifications and changes to the application. The audit identified network problems in the architecture of the solution, the elimination of which saved 20% of the expansion budget for system sizing.
For one of the largest food distributors in the market, the audit eliminated the risk of a server crash due to excessive RAM usage. The implementation of the proposed measures resulted in an 85% reduction in the number of incidents during ETL processes. The audit resulted in recommendations for optimizing the work of directories, the interface and the structure of the organization of applications and data.
For a chain of sports clubs, we identified a significant error in the incorrect assembly of the data model and the complication of formulas. Solving this problem made it possible to reduce the response time of the application by a factor of 2 and the labor costs for its support by 75%. The audit also helped identify bottlenecks in the process of loading data into the application and interface overload. The final document also included recommendations for code and script fixes.
Sign up for an audit and find out
how to reduce the costs for working with data and increase the speed of decision making
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