Audit of existing analytical solutions - The audit encompasses various areas extracted from the BI environment and focuses on the toolset used in the company, their specifics, and technical capabilities. Monitoring and evaluating the performance of existing analytical solutions allow the identification of bottlenecks and proposing ways to improve them.
Data processing analysis - Optimization of data warehousing and reporting processes. Recognizing potential threats and risks associated with data processing, such as data loss, security breaches, or legal compliance issues.
Evaluation of reporting availability and performance - Analysis of the availability of existing reports and the ability to quickly create new ones. Validating the report generation process, from data acquisition and storage in the database, through the ETL process, construction of views and reports, enables assessing the availability of each of these points in terms of the ability to quickly implement changes and responsiveness.
Data quality evaluation - Analysis of data quality in the system, including completeness, accuracy, consistency, and timeliness. With a primary focus on examining the completeness of data sets, verifying proper mapping for building utilized indicators, or evaluating the method of data acquisition from sources.
Technical advisory - Providing advice on selecting the optimal analytical solutions, creating an implementation schedule, and setting future project development directions.
BI architecture design - Developing a comprehensive solution architecture, encompassing technical components and integrations with existing systems.